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// Generated by the protocol buffer compiler. DO NOT EDIT!
// source: tensor.proto
package org.nd4j.ir;
public final class TensorNamespace {
private TensorNamespace() {}
public static void registerAllExtensions(
org.nd4j.shade.protobuf.ExtensionRegistryLite registry) {
}
public static void registerAllExtensions(
org.nd4j.shade.protobuf.ExtensionRegistry registry) {
registerAllExtensions(
(org.nd4j.shade.protobuf.ExtensionRegistryLite) registry);
}
/**
* Protobuf enum {@code org.nd4j.ir.DataType}
*/
public enum DataType
implements org.nd4j.shade.protobuf.ProtocolMessageEnum {
/**
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*/
UNDEFINED(0),
/**
*
* Basic types.
*
*
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*/
FLOAT(1),
/**
*
* uint8_t
*
*
* UINT8 = 2;
*/
UINT8(2),
/**
*
* int8_t
*
*
* INT8 = 3;
*/
INT8(3),
/**
*
* uint16_t
*
*
* UINT16 = 4;
*/
UINT16(4),
/**
*
* int16_t
*
*
* INT16 = 5;
*/
INT16(5),
/**
*
* int32_t
*
*
* INT32 = 6;
*/
INT32(6),
/**
*
* int64_t
*
*
* INT64 = 7;
*/
INT64(7),
/**
*
* string
*
*
* STRING = 8;
*/
STRING(8),
/**
*
* bool
*
*
* BOOL = 9;
*/
BOOL(9),
/**
*
* IEEE754 half-precision floating-point format (16 bits wide).
* This format has 1 sign bit, 5 exponent bits, and 10 mantissa bits.
*
*
* FLOAT16 = 10;
*/
FLOAT16(10),
/**
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*/
DOUBLE(11),
/**
* UINT32 = 12;
*/
UINT32(12),
/**
* UINT64 = 13;
*/
UINT64(13),
/**
*
* complex with float32 real and imaginary components
*
*
* COMPLEX64 = 14;
*/
COMPLEX64(14),
/**
*
* complex with float64 real and imaginary components
*
*
* COMPLEX128 = 15;
*/
COMPLEX128(15),
/**
*
* Non-IEEE floating-point format based on IEEE754 single-precision
* floating-point number truncated to 16 bits.
* This format has 1 sign bit, 8 exponent bits, and 7 mantissa bits.
*
*
* BFLOAT16 = 16;
*/
BFLOAT16(16),
UNRECOGNIZED(-1),
;
/**
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*/
public static final int UNDEFINED_VALUE = 0;
/**
*
* Basic types.
*
*
* FLOAT = 1;
*/
public static final int FLOAT_VALUE = 1;
/**
*
* uint8_t
*
*
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*/
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/**
*
* int8_t
*
*
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*/
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/**
*
* uint16_t
*
*
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*/
public static final int UINT16_VALUE = 4;
/**
*
* int16_t
*
*
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*/
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/**
*
* int32_t
*
*
* INT32 = 6;
*/
public static final int INT32_VALUE = 6;
/**
*
* int64_t
*
*
* INT64 = 7;
*/
public static final int INT64_VALUE = 7;
/**
*
* string
*
*
* STRING = 8;
*/
public static final int STRING_VALUE = 8;
/**
*
* bool
*
*
* BOOL = 9;
*/
public static final int BOOL_VALUE = 9;
/**
*
* IEEE754 half-precision floating-point format (16 bits wide).
* This format has 1 sign bit, 5 exponent bits, and 10 mantissa bits.
*
*
* FLOAT16 = 10;
*/
public static final int FLOAT16_VALUE = 10;
/**
* DOUBLE = 11;
*/
public static final int DOUBLE_VALUE = 11;
/**
* UINT32 = 12;
*/
public static final int UINT32_VALUE = 12;
/**
* UINT64 = 13;
*/
public static final int UINT64_VALUE = 13;
/**
*
* complex with float32 real and imaginary components
*
*
* COMPLEX64 = 14;
*/
public static final int COMPLEX64_VALUE = 14;
/**
*
* complex with float64 real and imaginary components
*
*
* COMPLEX128 = 15;
*/
public static final int COMPLEX128_VALUE = 15;
/**
*
* Non-IEEE floating-point format based on IEEE754 single-precision
* floating-point number truncated to 16 bits.
* This format has 1 sign bit, 8 exponent bits, and 7 mantissa bits.
*
*
* BFLOAT16 = 16;
*/
public static final int BFLOAT16_VALUE = 16;
public final int getNumber() {
if (this == UNRECOGNIZED) {
throw new java.lang.IllegalArgumentException(
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}
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/**
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@java.lang.Deprecated
public static DataType valueOf(int value) {
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/**
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case 2: return UINT8;
case 3: return INT8;
case 4: return UINT16;
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case 6: return INT32;
case 7: return INT64;
case 8: return STRING;
case 9: return BOOL;
case 10: return FLOAT16;
case 11: return DOUBLE;
case 12: return UINT32;
case 13: return UINT64;
case 14: return COMPLEX64;
case 15: return COMPLEX128;
case 16: return BFLOAT16;
default: return null;
}
}
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* @return The bytes for key.
*/
public org.nd4j.shade.protobuf.ByteString
getKeyBytes() {
java.lang.Object ref = key_;
if (ref instanceof String) {
org.nd4j.shade.protobuf.ByteString b =
org.nd4j.shade.protobuf.ByteString.copyFromUtf8(
(java.lang.String) ref);
key_ = b;
return b;
} else {
return (org.nd4j.shade.protobuf.ByteString) ref;
}
}
/**
* string key = 1;
* @param value The key to set.
* @return This builder for chaining.
*/
public Builder setKey(
java.lang.String value) {
if (value == null) {
throw new NullPointerException();
}
key_ = value;
onChanged();
return this;
}
/**
* string key = 1;
* @return This builder for chaining.
*/
public Builder clearKey() {
key_ = getDefaultInstance().getKey();
onChanged();
return this;
}
/**
* string key = 1;
* @param value The bytes for key to set.
* @return This builder for chaining.
*/
public Builder setKeyBytes(
org.nd4j.shade.protobuf.ByteString value) {
if (value == null) {
throw new NullPointerException();
}
checkByteStringIsUtf8(value);
key_ = value;
onChanged();
return this;
}
private java.lang.Object value_ = "";
/**
* string value = 2;
* @return The value.
*/
public java.lang.String getValue() {
java.lang.Object ref = value_;
if (!(ref instanceof java.lang.String)) {
org.nd4j.shade.protobuf.ByteString bs =
(org.nd4j.shade.protobuf.ByteString) ref;
java.lang.String s = bs.toStringUtf8();
value_ = s;
return s;
} else {
return (java.lang.String) ref;
}
}
/**
* string value = 2;
* @return The bytes for value.
*/
public org.nd4j.shade.protobuf.ByteString
getValueBytes() {
java.lang.Object ref = value_;
if (ref instanceof String) {
org.nd4j.shade.protobuf.ByteString b =
org.nd4j.shade.protobuf.ByteString.copyFromUtf8(
(java.lang.String) ref);
value_ = b;
return b;
} else {
return (org.nd4j.shade.protobuf.ByteString) ref;
}
}
/**
* string value = 2;
* @param value The value to set.
* @return This builder for chaining.
*/
public Builder setValue(
java.lang.String value) {
if (value == null) {
throw new NullPointerException();
}
value_ = value;
onChanged();
return this;
}
/**
* string value = 2;
* @return This builder for chaining.
*/
public Builder clearValue() {
value_ = getDefaultInstance().getValue();
onChanged();
return this;
}
/**
* string value = 2;
* @param value The bytes for value to set.
* @return This builder for chaining.
*/
public Builder setValueBytes(
org.nd4j.shade.protobuf.ByteString value) {
if (value == null) {
throw new NullPointerException();
}
checkByteStringIsUtf8(value);
value_ = value;
onChanged();
return this;
}
@java.lang.Override
public final Builder setUnknownFields(
final org.nd4j.shade.protobuf.UnknownFieldSet unknownFields) {
return super.setUnknownFields(unknownFields);
}
@java.lang.Override
public final Builder mergeUnknownFields(
final org.nd4j.shade.protobuf.UnknownFieldSet unknownFields) {
return super.mergeUnknownFields(unknownFields);
}
// @@protoc_insertion_point(builder_scope:org.nd4j.ir.StringStringEntryProto)
}
// @@protoc_insertion_point(class_scope:org.nd4j.ir.StringStringEntryProto)
private static final org.nd4j.ir.TensorNamespace.StringStringEntryProto DEFAULT_INSTANCE;
static {
DEFAULT_INSTANCE = new org.nd4j.ir.TensorNamespace.StringStringEntryProto();
}
public static org.nd4j.ir.TensorNamespace.StringStringEntryProto getDefaultInstance() {
return DEFAULT_INSTANCE;
}
private static final org.nd4j.shade.protobuf.Parser
PARSER = new org.nd4j.shade.protobuf.AbstractParser() {
@java.lang.Override
public StringStringEntryProto parsePartialFrom(
org.nd4j.shade.protobuf.CodedInputStream input,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
return new StringStringEntryProto(input, extensionRegistry);
}
};
public static org.nd4j.shade.protobuf.Parser parser() {
return PARSER;
}
@java.lang.Override
public org.nd4j.shade.protobuf.Parser getParserForType() {
return PARSER;
}
@java.lang.Override
public org.nd4j.ir.TensorNamespace.StringStringEntryProto getDefaultInstanceForType() {
return DEFAULT_INSTANCE;
}
}
public interface TypeProtoOrBuilder extends
// @@protoc_insertion_point(interface_extends:org.nd4j.ir.TypeProto)
org.nd4j.shade.protobuf.MessageOrBuilder {
/**
*
* The type of a tensor.
*
*
* .org.nd4j.ir.TypeProto.TensorDescriptor tensor_type = 1;
* @return Whether the tensorType field is set.
*/
boolean hasTensorType();
/**
*
* The type of a tensor.
*
*
* .org.nd4j.ir.TypeProto.TensorDescriptor tensor_type = 1;
* @return The tensorType.
*/
org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor getTensorType();
/**
*
* The type of a tensor.
*
*
* .org.nd4j.ir.TypeProto.TensorDescriptor tensor_type = 1;
*/
org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptorOrBuilder getTensorTypeOrBuilder();
public org.nd4j.ir.TensorNamespace.TypeProto.ValueCase getValueCase();
}
/**
*
* Define the types.
*
*
* Protobuf type {@code org.nd4j.ir.TypeProto}
*/
public static final class TypeProto extends
org.nd4j.shade.protobuf.GeneratedMessageV3 implements
// @@protoc_insertion_point(message_implements:org.nd4j.ir.TypeProto)
TypeProtoOrBuilder {
private static final long serialVersionUID = 0L;
// Use TypeProto.newBuilder() to construct.
private TypeProto(org.nd4j.shade.protobuf.GeneratedMessageV3.Builder builder) {
super(builder);
}
private TypeProto() {
}
@java.lang.Override
@SuppressWarnings({"unused"})
protected java.lang.Object newInstance(
UnusedPrivateParameter unused) {
return new TypeProto();
}
@java.lang.Override
public final org.nd4j.shade.protobuf.UnknownFieldSet
getUnknownFields() {
return this.unknownFields;
}
private TypeProto(
org.nd4j.shade.protobuf.CodedInputStream input,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
this();
if (extensionRegistry == null) {
throw new java.lang.NullPointerException();
}
org.nd4j.shade.protobuf.UnknownFieldSet.Builder unknownFields =
org.nd4j.shade.protobuf.UnknownFieldSet.newBuilder();
try {
boolean done = false;
while (!done) {
int tag = input.readTag();
switch (tag) {
case 0:
done = true;
break;
case 10: {
org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor.Builder subBuilder = null;
if (valueCase_ == 1) {
subBuilder = ((org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor) value_).toBuilder();
}
value_ =
input.readMessage(org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor.parser(), extensionRegistry);
if (subBuilder != null) {
subBuilder.mergeFrom((org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor) value_);
value_ = subBuilder.buildPartial();
}
valueCase_ = 1;
break;
}
default: {
if (!parseUnknownField(
input, unknownFields, extensionRegistry, tag)) {
done = true;
}
break;
}
}
}
} catch (org.nd4j.shade.protobuf.InvalidProtocolBufferException e) {
throw e.setUnfinishedMessage(this);
} catch (org.nd4j.shade.protobuf.UninitializedMessageException e) {
throw e.asInvalidProtocolBufferException().setUnfinishedMessage(this);
} catch (java.io.IOException e) {
throw new org.nd4j.shade.protobuf.InvalidProtocolBufferException(
e).setUnfinishedMessage(this);
} finally {
this.unknownFields = unknownFields.build();
makeExtensionsImmutable();
}
}
public static final org.nd4j.shade.protobuf.Descriptors.Descriptor
getDescriptor() {
return org.nd4j.ir.TensorNamespace.internal_static_org_nd4j_ir_TypeProto_descriptor;
}
@java.lang.Override
protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
internalGetFieldAccessorTable() {
return org.nd4j.ir.TensorNamespace.internal_static_org_nd4j_ir_TypeProto_fieldAccessorTable
.ensureFieldAccessorsInitialized(
org.nd4j.ir.TensorNamespace.TypeProto.class, org.nd4j.ir.TensorNamespace.TypeProto.Builder.class);
}
public interface TensorDescriptorOrBuilder extends
// @@protoc_insertion_point(interface_extends:org.nd4j.ir.TypeProto.TensorDescriptor)
org.nd4j.shade.protobuf.MessageOrBuilder {
/**
*
* This field MUST NOT have the value of UNDEFINED
* This field MUST be present for this version of the IR.
*
*
* .org.nd4j.ir.DataType elem_type = 1;
* @return The enum numeric value on the wire for elemType.
*/
int getElemTypeValue();
/**
*
* This field MUST NOT have the value of UNDEFINED
* This field MUST be present for this version of the IR.
*
*
* .org.nd4j.ir.DataType elem_type = 1;
* @return The elemType.
*/
org.nd4j.ir.TensorNamespace.DataType getElemType();
/**
* .org.nd4j.ir.TensorShapeProto shape = 2;
* @return Whether the shape field is set.
*/
boolean hasShape();
/**
* .org.nd4j.ir.TensorShapeProto shape = 2;
* @return The shape.
*/
org.nd4j.ir.TensorNamespace.TensorShapeProto getShape();
/**
* .org.nd4j.ir.TensorShapeProto shape = 2;
*/
org.nd4j.ir.TensorNamespace.TensorShapeProtoOrBuilder getShapeOrBuilder();
}
/**
* Protobuf type {@code org.nd4j.ir.TypeProto.TensorDescriptor}
*/
public static final class TensorDescriptor extends
org.nd4j.shade.protobuf.GeneratedMessageV3 implements
// @@protoc_insertion_point(message_implements:org.nd4j.ir.TypeProto.TensorDescriptor)
TensorDescriptorOrBuilder {
private static final long serialVersionUID = 0L;
// Use TensorDescriptor.newBuilder() to construct.
private TensorDescriptor(org.nd4j.shade.protobuf.GeneratedMessageV3.Builder builder) {
super(builder);
}
private TensorDescriptor() {
elemType_ = 0;
}
@java.lang.Override
@SuppressWarnings({"unused"})
protected java.lang.Object newInstance(
UnusedPrivateParameter unused) {
return new TensorDescriptor();
}
@java.lang.Override
public final org.nd4j.shade.protobuf.UnknownFieldSet
getUnknownFields() {
return this.unknownFields;
}
private TensorDescriptor(
org.nd4j.shade.protobuf.CodedInputStream input,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
this();
if (extensionRegistry == null) {
throw new java.lang.NullPointerException();
}
org.nd4j.shade.protobuf.UnknownFieldSet.Builder unknownFields =
org.nd4j.shade.protobuf.UnknownFieldSet.newBuilder();
try {
boolean done = false;
while (!done) {
int tag = input.readTag();
switch (tag) {
case 0:
done = true;
break;
case 8: {
int rawValue = input.readEnum();
elemType_ = rawValue;
break;
}
case 18: {
org.nd4j.ir.TensorNamespace.TensorShapeProto.Builder subBuilder = null;
if (shape_ != null) {
subBuilder = shape_.toBuilder();
}
shape_ = input.readMessage(org.nd4j.ir.TensorNamespace.TensorShapeProto.parser(), extensionRegistry);
if (subBuilder != null) {
subBuilder.mergeFrom(shape_);
shape_ = subBuilder.buildPartial();
}
break;
}
default: {
if (!parseUnknownField(
input, unknownFields, extensionRegistry, tag)) {
done = true;
}
break;
}
}
}
} catch (org.nd4j.shade.protobuf.InvalidProtocolBufferException e) {
throw e.setUnfinishedMessage(this);
} catch (org.nd4j.shade.protobuf.UninitializedMessageException e) {
throw e.asInvalidProtocolBufferException().setUnfinishedMessage(this);
} catch (java.io.IOException e) {
throw new org.nd4j.shade.protobuf.InvalidProtocolBufferException(
e).setUnfinishedMessage(this);
} finally {
this.unknownFields = unknownFields.build();
makeExtensionsImmutable();
}
}
public static final org.nd4j.shade.protobuf.Descriptors.Descriptor
getDescriptor() {
return org.nd4j.ir.TensorNamespace.internal_static_org_nd4j_ir_TypeProto_TensorDescriptor_descriptor;
}
@java.lang.Override
protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
internalGetFieldAccessorTable() {
return org.nd4j.ir.TensorNamespace.internal_static_org_nd4j_ir_TypeProto_TensorDescriptor_fieldAccessorTable
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org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor.class, org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor.Builder.class);
}
public static final int ELEM_TYPE_FIELD_NUMBER = 1;
private int elemType_;
/**
*
* This field MUST NOT have the value of UNDEFINED
* This field MUST be present for this version of the IR.
*
*
* .org.nd4j.ir.DataType elem_type = 1;
* @return The enum numeric value on the wire for elemType.
*/
@java.lang.Override public int getElemTypeValue() {
return elemType_;
}
/**
*
* This field MUST NOT have the value of UNDEFINED
* This field MUST be present for this version of the IR.
*
*
* .org.nd4j.ir.DataType elem_type = 1;
* @return The elemType.
*/
@java.lang.Override public org.nd4j.ir.TensorNamespace.DataType getElemType() {
@SuppressWarnings("deprecation")
org.nd4j.ir.TensorNamespace.DataType result = org.nd4j.ir.TensorNamespace.DataType.valueOf(elemType_);
return result == null ? org.nd4j.ir.TensorNamespace.DataType.UNRECOGNIZED : result;
}
public static final int SHAPE_FIELD_NUMBER = 2;
private org.nd4j.ir.TensorNamespace.TensorShapeProto shape_;
/**
* .org.nd4j.ir.TensorShapeProto shape = 2;
* @return Whether the shape field is set.
*/
@java.lang.Override
public boolean hasShape() {
return shape_ != null;
}
/**
* .org.nd4j.ir.TensorShapeProto shape = 2;
* @return The shape.
*/
@java.lang.Override
public org.nd4j.ir.TensorNamespace.TensorShapeProto getShape() {
return shape_ == null ? org.nd4j.ir.TensorNamespace.TensorShapeProto.getDefaultInstance() : shape_;
}
/**
* .org.nd4j.ir.TensorShapeProto shape = 2;
*/
@java.lang.Override
public org.nd4j.ir.TensorNamespace.TensorShapeProtoOrBuilder getShapeOrBuilder() {
return getShape();
}
private byte memoizedIsInitialized = -1;
@java.lang.Override
public final boolean isInitialized() {
byte isInitialized = memoizedIsInitialized;
if (isInitialized == 1) return true;
if (isInitialized == 0) return false;
memoizedIsInitialized = 1;
return true;
}
@java.lang.Override
public void writeTo(org.nd4j.shade.protobuf.CodedOutputStream output)
throws java.io.IOException {
if (elemType_ != org.nd4j.ir.TensorNamespace.DataType.UNDEFINED.getNumber()) {
output.writeEnum(1, elemType_);
}
if (shape_ != null) {
output.writeMessage(2, getShape());
}
unknownFields.writeTo(output);
}
@java.lang.Override
public int getSerializedSize() {
int size = memoizedSize;
if (size != -1) return size;
size = 0;
if (elemType_ != org.nd4j.ir.TensorNamespace.DataType.UNDEFINED.getNumber()) {
size += org.nd4j.shade.protobuf.CodedOutputStream
.computeEnumSize(1, elemType_);
}
if (shape_ != null) {
size += org.nd4j.shade.protobuf.CodedOutputStream
.computeMessageSize(2, getShape());
}
size += unknownFields.getSerializedSize();
memoizedSize = size;
return size;
}
@java.lang.Override
public boolean equals(final java.lang.Object obj) {
if (obj == this) {
return true;
}
if (!(obj instanceof org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor)) {
return super.equals(obj);
}
org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor other = (org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor) obj;
if (elemType_ != other.elemType_) return false;
if (hasShape() != other.hasShape()) return false;
if (hasShape()) {
if (!getShape()
.equals(other.getShape())) return false;
}
if (!unknownFields.equals(other.unknownFields)) return false;
return true;
}
@java.lang.Override
public int hashCode() {
if (memoizedHashCode != 0) {
return memoizedHashCode;
}
int hash = 41;
hash = (19 * hash) + getDescriptor().hashCode();
hash = (37 * hash) + ELEM_TYPE_FIELD_NUMBER;
hash = (53 * hash) + elemType_;
if (hasShape()) {
hash = (37 * hash) + SHAPE_FIELD_NUMBER;
hash = (53 * hash) + getShape().hashCode();
}
hash = (29 * hash) + unknownFields.hashCode();
memoizedHashCode = hash;
return hash;
}
public static org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor parseFrom(
java.nio.ByteBuffer data)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor parseFrom(
java.nio.ByteBuffer data,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor parseFrom(
org.nd4j.shade.protobuf.ByteString data)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor parseFrom(
org.nd4j.shade.protobuf.ByteString data,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor parseFrom(byte[] data)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor parseFrom(
byte[] data,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor parseFrom(java.io.InputStream input)
throws java.io.IOException {
return org.nd4j.shade.protobuf.GeneratedMessageV3
.parseWithIOException(PARSER, input);
}
public static org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor parseFrom(
java.io.InputStream input,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return org.nd4j.shade.protobuf.GeneratedMessageV3
.parseWithIOException(PARSER, input, extensionRegistry);
}
public static org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor parseDelimitedFrom(java.io.InputStream input)
throws java.io.IOException {
return org.nd4j.shade.protobuf.GeneratedMessageV3
.parseDelimitedWithIOException(PARSER, input);
}
public static org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor parseDelimitedFrom(
java.io.InputStream input,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return org.nd4j.shade.protobuf.GeneratedMessageV3
.parseDelimitedWithIOException(PARSER, input, extensionRegistry);
}
public static org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor parseFrom(
org.nd4j.shade.protobuf.CodedInputStream input)
throws java.io.IOException {
return org.nd4j.shade.protobuf.GeneratedMessageV3
.parseWithIOException(PARSER, input);
}
public static org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor parseFrom(
org.nd4j.shade.protobuf.CodedInputStream input,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return org.nd4j.shade.protobuf.GeneratedMessageV3
.parseWithIOException(PARSER, input, extensionRegistry);
}
@java.lang.Override
public Builder newBuilderForType() { return newBuilder(); }
public static Builder newBuilder() {
return DEFAULT_INSTANCE.toBuilder();
}
public static Builder newBuilder(org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor prototype) {
return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
}
@java.lang.Override
public Builder toBuilder() {
return this == DEFAULT_INSTANCE
? new Builder() : new Builder().mergeFrom(this);
}
@java.lang.Override
protected Builder newBuilderForType(
org.nd4j.shade.protobuf.GeneratedMessageV3.BuilderParent parent) {
Builder builder = new Builder(parent);
return builder;
}
/**
* Protobuf type {@code org.nd4j.ir.TypeProto.TensorDescriptor}
*/
public static final class Builder extends
org.nd4j.shade.protobuf.GeneratedMessageV3.Builder implements
// @@protoc_insertion_point(builder_implements:org.nd4j.ir.TypeProto.TensorDescriptor)
org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptorOrBuilder {
public static final org.nd4j.shade.protobuf.Descriptors.Descriptor
getDescriptor() {
return org.nd4j.ir.TensorNamespace.internal_static_org_nd4j_ir_TypeProto_TensorDescriptor_descriptor;
}
@java.lang.Override
protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
internalGetFieldAccessorTable() {
return org.nd4j.ir.TensorNamespace.internal_static_org_nd4j_ir_TypeProto_TensorDescriptor_fieldAccessorTable
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org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor.class, org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor.Builder.class);
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// Construct using org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor.newBuilder()
private Builder() {
maybeForceBuilderInitialization();
}
private Builder(
org.nd4j.shade.protobuf.GeneratedMessageV3.BuilderParent parent) {
super(parent);
maybeForceBuilderInitialization();
}
private void maybeForceBuilderInitialization() {
if (org.nd4j.shade.protobuf.GeneratedMessageV3
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}
}
@java.lang.Override
public Builder clear() {
super.clear();
elemType_ = 0;
if (shapeBuilder_ == null) {
shape_ = null;
} else {
shape_ = null;
shapeBuilder_ = null;
}
return this;
}
@java.lang.Override
public org.nd4j.shade.protobuf.Descriptors.Descriptor
getDescriptorForType() {
return org.nd4j.ir.TensorNamespace.internal_static_org_nd4j_ir_TypeProto_TensorDescriptor_descriptor;
}
@java.lang.Override
public org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor getDefaultInstanceForType() {
return org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor.getDefaultInstance();
}
@java.lang.Override
public org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor build() {
org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor result = buildPartial();
if (!result.isInitialized()) {
throw newUninitializedMessageException(result);
}
return result;
}
@java.lang.Override
public org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor buildPartial() {
org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor result = new org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor(this);
result.elemType_ = elemType_;
if (shapeBuilder_ == null) {
result.shape_ = shape_;
} else {
result.shape_ = shapeBuilder_.build();
}
onBuilt();
return result;
}
@java.lang.Override
public Builder clone() {
return super.clone();
}
@java.lang.Override
public Builder setField(
org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
java.lang.Object value) {
return super.setField(field, value);
}
@java.lang.Override
public Builder clearField(
org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field) {
return super.clearField(field);
}
@java.lang.Override
public Builder clearOneof(
org.nd4j.shade.protobuf.Descriptors.OneofDescriptor oneof) {
return super.clearOneof(oneof);
}
@java.lang.Override
public Builder setRepeatedField(
org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
int index, java.lang.Object value) {
return super.setRepeatedField(field, index, value);
}
@java.lang.Override
public Builder addRepeatedField(
org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
java.lang.Object value) {
return super.addRepeatedField(field, value);
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@java.lang.Override
public Builder mergeFrom(org.nd4j.shade.protobuf.Message other) {
if (other instanceof org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor) {
return mergeFrom((org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor)other);
} else {
super.mergeFrom(other);
return this;
}
}
public Builder mergeFrom(org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor other) {
if (other == org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor.getDefaultInstance()) return this;
if (other.elemType_ != 0) {
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if (other.hasShape()) {
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this.mergeUnknownFields(other.unknownFields);
onChanged();
return this;
}
@java.lang.Override
public final boolean isInitialized() {
return true;
}
@java.lang.Override
public Builder mergeFrom(
org.nd4j.shade.protobuf.CodedInputStream input,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor parsedMessage = null;
try {
parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
} catch (org.nd4j.shade.protobuf.InvalidProtocolBufferException e) {
parsedMessage = (org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor) e.getUnfinishedMessage();
throw e.unwrapIOException();
} finally {
if (parsedMessage != null) {
mergeFrom(parsedMessage);
}
}
return this;
}
private int elemType_ = 0;
/**
*
* This field MUST NOT have the value of UNDEFINED
* This field MUST be present for this version of the IR.
*
*
* .org.nd4j.ir.DataType elem_type = 1;
* @return The enum numeric value on the wire for elemType.
*/
@java.lang.Override public int getElemTypeValue() {
return elemType_;
}
/**
*
* This field MUST NOT have the value of UNDEFINED
* This field MUST be present for this version of the IR.
*
*
* .org.nd4j.ir.DataType elem_type = 1;
* @param value The enum numeric value on the wire for elemType to set.
* @return This builder for chaining.
*/
public Builder setElemTypeValue(int value) {
elemType_ = value;
onChanged();
return this;
}
/**
*
* This field MUST NOT have the value of UNDEFINED
* This field MUST be present for this version of the IR.
*
*
* .org.nd4j.ir.DataType elem_type = 1;
* @return The elemType.
*/
@java.lang.Override
public org.nd4j.ir.TensorNamespace.DataType getElemType() {
@SuppressWarnings("deprecation")
org.nd4j.ir.TensorNamespace.DataType result = org.nd4j.ir.TensorNamespace.DataType.valueOf(elemType_);
return result == null ? org.nd4j.ir.TensorNamespace.DataType.UNRECOGNIZED : result;
}
/**
*
* This field MUST NOT have the value of UNDEFINED
* This field MUST be present for this version of the IR.
*
*
* .org.nd4j.ir.DataType elem_type = 1;
* @param value The elemType to set.
* @return This builder for chaining.
*/
public Builder setElemType(org.nd4j.ir.TensorNamespace.DataType value) {
if (value == null) {
throw new NullPointerException();
}
elemType_ = value.getNumber();
onChanged();
return this;
}
/**
*
* This field MUST NOT have the value of UNDEFINED
* This field MUST be present for this version of the IR.
*
*
* .org.nd4j.ir.DataType elem_type = 1;
* @return This builder for chaining.
*/
public Builder clearElemType() {
elemType_ = 0;
onChanged();
return this;
}
private org.nd4j.ir.TensorNamespace.TensorShapeProto shape_;
private org.nd4j.shade.protobuf.SingleFieldBuilderV3<
org.nd4j.ir.TensorNamespace.TensorShapeProto, org.nd4j.ir.TensorNamespace.TensorShapeProto.Builder, org.nd4j.ir.TensorNamespace.TensorShapeProtoOrBuilder> shapeBuilder_;
/**
* .org.nd4j.ir.TensorShapeProto shape = 2;
* @return Whether the shape field is set.
*/
public boolean hasShape() {
return shapeBuilder_ != null || shape_ != null;
}
/**
* .org.nd4j.ir.TensorShapeProto shape = 2;
* @return The shape.
*/
public org.nd4j.ir.TensorNamespace.TensorShapeProto getShape() {
if (shapeBuilder_ == null) {
return shape_ == null ? org.nd4j.ir.TensorNamespace.TensorShapeProto.getDefaultInstance() : shape_;
} else {
return shapeBuilder_.getMessage();
}
}
/**
* .org.nd4j.ir.TensorShapeProto shape = 2;
*/
public Builder setShape(org.nd4j.ir.TensorNamespace.TensorShapeProto value) {
if (shapeBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
shape_ = value;
onChanged();
} else {
shapeBuilder_.setMessage(value);
}
return this;
}
/**
* .org.nd4j.ir.TensorShapeProto shape = 2;
*/
public Builder setShape(
org.nd4j.ir.TensorNamespace.TensorShapeProto.Builder builderForValue) {
if (shapeBuilder_ == null) {
shape_ = builderForValue.build();
onChanged();
} else {
shapeBuilder_.setMessage(builderForValue.build());
}
return this;
}
/**
* .org.nd4j.ir.TensorShapeProto shape = 2;
*/
public Builder mergeShape(org.nd4j.ir.TensorNamespace.TensorShapeProto value) {
if (shapeBuilder_ == null) {
if (shape_ != null) {
shape_ =
org.nd4j.ir.TensorNamespace.TensorShapeProto.newBuilder(shape_).mergeFrom(value).buildPartial();
} else {
shape_ = value;
}
onChanged();
} else {
shapeBuilder_.mergeFrom(value);
}
return this;
}
/**
* .org.nd4j.ir.TensorShapeProto shape = 2;
*/
public Builder clearShape() {
if (shapeBuilder_ == null) {
shape_ = null;
onChanged();
} else {
shape_ = null;
shapeBuilder_ = null;
}
return this;
}
/**
* .org.nd4j.ir.TensorShapeProto shape = 2;
*/
public org.nd4j.ir.TensorNamespace.TensorShapeProto.Builder getShapeBuilder() {
onChanged();
return getShapeFieldBuilder().getBuilder();
}
/**
* .org.nd4j.ir.TensorShapeProto shape = 2;
*/
public org.nd4j.ir.TensorNamespace.TensorShapeProtoOrBuilder getShapeOrBuilder() {
if (shapeBuilder_ != null) {
return shapeBuilder_.getMessageOrBuilder();
} else {
return shape_ == null ?
org.nd4j.ir.TensorNamespace.TensorShapeProto.getDefaultInstance() : shape_;
}
}
/**
* .org.nd4j.ir.TensorShapeProto shape = 2;
*/
private org.nd4j.shade.protobuf.SingleFieldBuilderV3<
org.nd4j.ir.TensorNamespace.TensorShapeProto, org.nd4j.ir.TensorNamespace.TensorShapeProto.Builder, org.nd4j.ir.TensorNamespace.TensorShapeProtoOrBuilder>
getShapeFieldBuilder() {
if (shapeBuilder_ == null) {
shapeBuilder_ = new org.nd4j.shade.protobuf.SingleFieldBuilderV3<
org.nd4j.ir.TensorNamespace.TensorShapeProto, org.nd4j.ir.TensorNamespace.TensorShapeProto.Builder, org.nd4j.ir.TensorNamespace.TensorShapeProtoOrBuilder>(
getShape(),
getParentForChildren(),
isClean());
shape_ = null;
}
return shapeBuilder_;
}
@java.lang.Override
public final Builder setUnknownFields(
final org.nd4j.shade.protobuf.UnknownFieldSet unknownFields) {
return super.setUnknownFields(unknownFields);
}
@java.lang.Override
public final Builder mergeUnknownFields(
final org.nd4j.shade.protobuf.UnknownFieldSet unknownFields) {
return super.mergeUnknownFields(unknownFields);
}
// @@protoc_insertion_point(builder_scope:org.nd4j.ir.TypeProto.TensorDescriptor)
}
// @@protoc_insertion_point(class_scope:org.nd4j.ir.TypeProto.TensorDescriptor)
private static final org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor DEFAULT_INSTANCE;
static {
DEFAULT_INSTANCE = new org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor();
}
public static org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor getDefaultInstance() {
return DEFAULT_INSTANCE;
}
private static final org.nd4j.shade.protobuf.Parser
PARSER = new org.nd4j.shade.protobuf.AbstractParser() {
@java.lang.Override
public TensorDescriptor parsePartialFrom(
org.nd4j.shade.protobuf.CodedInputStream input,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
return new TensorDescriptor(input, extensionRegistry);
}
};
public static org.nd4j.shade.protobuf.Parser parser() {
return PARSER;
}
@java.lang.Override
public org.nd4j.shade.protobuf.Parser getParserForType() {
return PARSER;
}
@java.lang.Override
public org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor getDefaultInstanceForType() {
return DEFAULT_INSTANCE;
}
}
private int valueCase_ = 0;
private java.lang.Object value_;
public enum ValueCase
implements org.nd4j.shade.protobuf.Internal.EnumLite,
org.nd4j.shade.protobuf.AbstractMessage.InternalOneOfEnum {
TENSOR_TYPE(1),
VALUE_NOT_SET(0);
private final int value;
private ValueCase(int value) {
this.value = value;
}
/**
* @param value The number of the enum to look for.
* @return The enum associated with the given number.
* @deprecated Use {@link #forNumber(int)} instead.
*/
@java.lang.Deprecated
public static ValueCase valueOf(int value) {
return forNumber(value);
}
public static ValueCase forNumber(int value) {
switch (value) {
case 1: return TENSOR_TYPE;
case 0: return VALUE_NOT_SET;
default: return null;
}
}
public int getNumber() {
return this.value;
}
};
public ValueCase
getValueCase() {
return ValueCase.forNumber(
valueCase_);
}
public static final int TENSOR_TYPE_FIELD_NUMBER = 1;
/**
*
* The type of a tensor.
*
*
* .org.nd4j.ir.TypeProto.TensorDescriptor tensor_type = 1;
* @return Whether the tensorType field is set.
*/
@java.lang.Override
public boolean hasTensorType() {
return valueCase_ == 1;
}
/**
*
* The type of a tensor.
*
*
* .org.nd4j.ir.TypeProto.TensorDescriptor tensor_type = 1;
* @return The tensorType.
*/
@java.lang.Override
public org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor getTensorType() {
if (valueCase_ == 1) {
return (org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor) value_;
}
return org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor.getDefaultInstance();
}
/**
*
* The type of a tensor.
*
*
* .org.nd4j.ir.TypeProto.TensorDescriptor tensor_type = 1;
*/
@java.lang.Override
public org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptorOrBuilder getTensorTypeOrBuilder() {
if (valueCase_ == 1) {
return (org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor) value_;
}
return org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor.getDefaultInstance();
}
private byte memoizedIsInitialized = -1;
@java.lang.Override
public final boolean isInitialized() {
byte isInitialized = memoizedIsInitialized;
if (isInitialized == 1) return true;
if (isInitialized == 0) return false;
memoizedIsInitialized = 1;
return true;
}
@java.lang.Override
public void writeTo(org.nd4j.shade.protobuf.CodedOutputStream output)
throws java.io.IOException {
if (valueCase_ == 1) {
output.writeMessage(1, (org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor) value_);
}
unknownFields.writeTo(output);
}
@java.lang.Override
public int getSerializedSize() {
int size = memoizedSize;
if (size != -1) return size;
size = 0;
if (valueCase_ == 1) {
size += org.nd4j.shade.protobuf.CodedOutputStream
.computeMessageSize(1, (org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor) value_);
}
size += unknownFields.getSerializedSize();
memoizedSize = size;
return size;
}
@java.lang.Override
public boolean equals(final java.lang.Object obj) {
if (obj == this) {
return true;
}
if (!(obj instanceof org.nd4j.ir.TensorNamespace.TypeProto)) {
return super.equals(obj);
}
org.nd4j.ir.TensorNamespace.TypeProto other = (org.nd4j.ir.TensorNamespace.TypeProto) obj;
if (!getValueCase().equals(other.getValueCase())) return false;
switch (valueCase_) {
case 1:
if (!getTensorType()
.equals(other.getTensorType())) return false;
break;
case 0:
default:
}
if (!unknownFields.equals(other.unknownFields)) return false;
return true;
}
@java.lang.Override
public int hashCode() {
if (memoizedHashCode != 0) {
return memoizedHashCode;
}
int hash = 41;
hash = (19 * hash) + getDescriptor().hashCode();
switch (valueCase_) {
case 1:
hash = (37 * hash) + TENSOR_TYPE_FIELD_NUMBER;
hash = (53 * hash) + getTensorType().hashCode();
break;
case 0:
default:
}
hash = (29 * hash) + unknownFields.hashCode();
memoizedHashCode = hash;
return hash;
}
public static org.nd4j.ir.TensorNamespace.TypeProto parseFrom(
java.nio.ByteBuffer data)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static org.nd4j.ir.TensorNamespace.TypeProto parseFrom(
java.nio.ByteBuffer data,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static org.nd4j.ir.TensorNamespace.TypeProto parseFrom(
org.nd4j.shade.protobuf.ByteString data)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static org.nd4j.ir.TensorNamespace.TypeProto parseFrom(
org.nd4j.shade.protobuf.ByteString data,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static org.nd4j.ir.TensorNamespace.TypeProto parseFrom(byte[] data)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static org.nd4j.ir.TensorNamespace.TypeProto parseFrom(
byte[] data,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static org.nd4j.ir.TensorNamespace.TypeProto parseFrom(java.io.InputStream input)
throws java.io.IOException {
return org.nd4j.shade.protobuf.GeneratedMessageV3
.parseWithIOException(PARSER, input);
}
public static org.nd4j.ir.TensorNamespace.TypeProto parseFrom(
java.io.InputStream input,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return org.nd4j.shade.protobuf.GeneratedMessageV3
.parseWithIOException(PARSER, input, extensionRegistry);
}
public static org.nd4j.ir.TensorNamespace.TypeProto parseDelimitedFrom(java.io.InputStream input)
throws java.io.IOException {
return org.nd4j.shade.protobuf.GeneratedMessageV3
.parseDelimitedWithIOException(PARSER, input);
}
public static org.nd4j.ir.TensorNamespace.TypeProto parseDelimitedFrom(
java.io.InputStream input,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return org.nd4j.shade.protobuf.GeneratedMessageV3
.parseDelimitedWithIOException(PARSER, input, extensionRegistry);
}
public static org.nd4j.ir.TensorNamespace.TypeProto parseFrom(
org.nd4j.shade.protobuf.CodedInputStream input)
throws java.io.IOException {
return org.nd4j.shade.protobuf.GeneratedMessageV3
.parseWithIOException(PARSER, input);
}
public static org.nd4j.ir.TensorNamespace.TypeProto parseFrom(
org.nd4j.shade.protobuf.CodedInputStream input,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return org.nd4j.shade.protobuf.GeneratedMessageV3
.parseWithIOException(PARSER, input, extensionRegistry);
}
@java.lang.Override
public Builder newBuilderForType() { return newBuilder(); }
public static Builder newBuilder() {
return DEFAULT_INSTANCE.toBuilder();
}
public static Builder newBuilder(org.nd4j.ir.TensorNamespace.TypeProto prototype) {
return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
}
@java.lang.Override
public Builder toBuilder() {
return this == DEFAULT_INSTANCE
? new Builder() : new Builder().mergeFrom(this);
}
@java.lang.Override
protected Builder newBuilderForType(
org.nd4j.shade.protobuf.GeneratedMessageV3.BuilderParent parent) {
Builder builder = new Builder(parent);
return builder;
}
/**
*
* Define the types.
*
*
* Protobuf type {@code org.nd4j.ir.TypeProto}
*/
public static final class Builder extends
org.nd4j.shade.protobuf.GeneratedMessageV3.Builder implements
// @@protoc_insertion_point(builder_implements:org.nd4j.ir.TypeProto)
org.nd4j.ir.TensorNamespace.TypeProtoOrBuilder {
public static final org.nd4j.shade.protobuf.Descriptors.Descriptor
getDescriptor() {
return org.nd4j.ir.TensorNamespace.internal_static_org_nd4j_ir_TypeProto_descriptor;
}
@java.lang.Override
protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
internalGetFieldAccessorTable() {
return org.nd4j.ir.TensorNamespace.internal_static_org_nd4j_ir_TypeProto_fieldAccessorTable
.ensureFieldAccessorsInitialized(
org.nd4j.ir.TensorNamespace.TypeProto.class, org.nd4j.ir.TensorNamespace.TypeProto.Builder.class);
}
// Construct using org.nd4j.ir.TensorNamespace.TypeProto.newBuilder()
private Builder() {
maybeForceBuilderInitialization();
}
private Builder(
org.nd4j.shade.protobuf.GeneratedMessageV3.BuilderParent parent) {
super(parent);
maybeForceBuilderInitialization();
}
private void maybeForceBuilderInitialization() {
if (org.nd4j.shade.protobuf.GeneratedMessageV3
.alwaysUseFieldBuilders) {
}
}
@java.lang.Override
public Builder clear() {
super.clear();
valueCase_ = 0;
value_ = null;
return this;
}
@java.lang.Override
public org.nd4j.shade.protobuf.Descriptors.Descriptor
getDescriptorForType() {
return org.nd4j.ir.TensorNamespace.internal_static_org_nd4j_ir_TypeProto_descriptor;
}
@java.lang.Override
public org.nd4j.ir.TensorNamespace.TypeProto getDefaultInstanceForType() {
return org.nd4j.ir.TensorNamespace.TypeProto.getDefaultInstance();
}
@java.lang.Override
public org.nd4j.ir.TensorNamespace.TypeProto build() {
org.nd4j.ir.TensorNamespace.TypeProto result = buildPartial();
if (!result.isInitialized()) {
throw newUninitializedMessageException(result);
}
return result;
}
@java.lang.Override
public org.nd4j.ir.TensorNamespace.TypeProto buildPartial() {
org.nd4j.ir.TensorNamespace.TypeProto result = new org.nd4j.ir.TensorNamespace.TypeProto(this);
if (valueCase_ == 1) {
if (tensorTypeBuilder_ == null) {
result.value_ = value_;
} else {
result.value_ = tensorTypeBuilder_.build();
}
}
result.valueCase_ = valueCase_;
onBuilt();
return result;
}
@java.lang.Override
public Builder clone() {
return super.clone();
}
@java.lang.Override
public Builder setField(
org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
java.lang.Object value) {
return super.setField(field, value);
}
@java.lang.Override
public Builder clearField(
org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field) {
return super.clearField(field);
}
@java.lang.Override
public Builder clearOneof(
org.nd4j.shade.protobuf.Descriptors.OneofDescriptor oneof) {
return super.clearOneof(oneof);
}
@java.lang.Override
public Builder setRepeatedField(
org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
int index, java.lang.Object value) {
return super.setRepeatedField(field, index, value);
}
@java.lang.Override
public Builder addRepeatedField(
org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
java.lang.Object value) {
return super.addRepeatedField(field, value);
}
@java.lang.Override
public Builder mergeFrom(org.nd4j.shade.protobuf.Message other) {
if (other instanceof org.nd4j.ir.TensorNamespace.TypeProto) {
return mergeFrom((org.nd4j.ir.TensorNamespace.TypeProto)other);
} else {
super.mergeFrom(other);
return this;
}
}
public Builder mergeFrom(org.nd4j.ir.TensorNamespace.TypeProto other) {
if (other == org.nd4j.ir.TensorNamespace.TypeProto.getDefaultInstance()) return this;
switch (other.getValueCase()) {
case TENSOR_TYPE: {
mergeTensorType(other.getTensorType());
break;
}
case VALUE_NOT_SET: {
break;
}
}
this.mergeUnknownFields(other.unknownFields);
onChanged();
return this;
}
@java.lang.Override
public final boolean isInitialized() {
return true;
}
@java.lang.Override
public Builder mergeFrom(
org.nd4j.shade.protobuf.CodedInputStream input,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
org.nd4j.ir.TensorNamespace.TypeProto parsedMessage = null;
try {
parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
} catch (org.nd4j.shade.protobuf.InvalidProtocolBufferException e) {
parsedMessage = (org.nd4j.ir.TensorNamespace.TypeProto) e.getUnfinishedMessage();
throw e.unwrapIOException();
} finally {
if (parsedMessage != null) {
mergeFrom(parsedMessage);
}
}
return this;
}
private int valueCase_ = 0;
private java.lang.Object value_;
public ValueCase
getValueCase() {
return ValueCase.forNumber(
valueCase_);
}
public Builder clearValue() {
valueCase_ = 0;
value_ = null;
onChanged();
return this;
}
private org.nd4j.shade.protobuf.SingleFieldBuilderV3<
org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor, org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor.Builder, org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptorOrBuilder> tensorTypeBuilder_;
/**
*
* The type of a tensor.
*
*
* .org.nd4j.ir.TypeProto.TensorDescriptor tensor_type = 1;
* @return Whether the tensorType field is set.
*/
@java.lang.Override
public boolean hasTensorType() {
return valueCase_ == 1;
}
/**
*
* The type of a tensor.
*
*
* .org.nd4j.ir.TypeProto.TensorDescriptor tensor_type = 1;
* @return The tensorType.
*/
@java.lang.Override
public org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor getTensorType() {
if (tensorTypeBuilder_ == null) {
if (valueCase_ == 1) {
return (org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor) value_;
}
return org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor.getDefaultInstance();
} else {
if (valueCase_ == 1) {
return tensorTypeBuilder_.getMessage();
}
return org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor.getDefaultInstance();
}
}
/**
*
* The type of a tensor.
*
*
* .org.nd4j.ir.TypeProto.TensorDescriptor tensor_type = 1;
*/
public Builder setTensorType(org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor value) {
if (tensorTypeBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
value_ = value;
onChanged();
} else {
tensorTypeBuilder_.setMessage(value);
}
valueCase_ = 1;
return this;
}
/**
*
* The type of a tensor.
*
*
* .org.nd4j.ir.TypeProto.TensorDescriptor tensor_type = 1;
*/
public Builder setTensorType(
org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor.Builder builderForValue) {
if (tensorTypeBuilder_ == null) {
value_ = builderForValue.build();
onChanged();
} else {
tensorTypeBuilder_.setMessage(builderForValue.build());
}
valueCase_ = 1;
return this;
}
/**
*
* The type of a tensor.
*
*
* .org.nd4j.ir.TypeProto.TensorDescriptor tensor_type = 1;
*/
public Builder mergeTensorType(org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor value) {
if (tensorTypeBuilder_ == null) {
if (valueCase_ == 1 &&
value_ != org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor.getDefaultInstance()) {
value_ = org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor.newBuilder((org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor) value_)
.mergeFrom(value).buildPartial();
} else {
value_ = value;
}
onChanged();
} else {
if (valueCase_ == 1) {
tensorTypeBuilder_.mergeFrom(value);
} else {
tensorTypeBuilder_.setMessage(value);
}
}
valueCase_ = 1;
return this;
}
/**
*
* The type of a tensor.
*
*
* .org.nd4j.ir.TypeProto.TensorDescriptor tensor_type = 1;
*/
public Builder clearTensorType() {
if (tensorTypeBuilder_ == null) {
if (valueCase_ == 1) {
valueCase_ = 0;
value_ = null;
onChanged();
}
} else {
if (valueCase_ == 1) {
valueCase_ = 0;
value_ = null;
}
tensorTypeBuilder_.clear();
}
return this;
}
/**
*
* The type of a tensor.
*
*
* .org.nd4j.ir.TypeProto.TensorDescriptor tensor_type = 1;
*/
public org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor.Builder getTensorTypeBuilder() {
return getTensorTypeFieldBuilder().getBuilder();
}
/**
*
* The type of a tensor.
*
*
* .org.nd4j.ir.TypeProto.TensorDescriptor tensor_type = 1;
*/
@java.lang.Override
public org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptorOrBuilder getTensorTypeOrBuilder() {
if ((valueCase_ == 1) && (tensorTypeBuilder_ != null)) {
return tensorTypeBuilder_.getMessageOrBuilder();
} else {
if (valueCase_ == 1) {
return (org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor) value_;
}
return org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor.getDefaultInstance();
}
}
/**
*
* The type of a tensor.
*
*
* .org.nd4j.ir.TypeProto.TensorDescriptor tensor_type = 1;
*/
private org.nd4j.shade.protobuf.SingleFieldBuilderV3<
org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor, org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor.Builder, org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptorOrBuilder>
getTensorTypeFieldBuilder() {
if (tensorTypeBuilder_ == null) {
if (!(valueCase_ == 1)) {
value_ = org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor.getDefaultInstance();
}
tensorTypeBuilder_ = new org.nd4j.shade.protobuf.SingleFieldBuilderV3<
org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor, org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor.Builder, org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptorOrBuilder>(
(org.nd4j.ir.TensorNamespace.TypeProto.TensorDescriptor) value_,
getParentForChildren(),
isClean());
value_ = null;
}
valueCase_ = 1;
onChanged();;
return tensorTypeBuilder_;
}
@java.lang.Override
public final Builder setUnknownFields(
final org.nd4j.shade.protobuf.UnknownFieldSet unknownFields) {
return super.setUnknownFields(unknownFields);
}
@java.lang.Override
public final Builder mergeUnknownFields(
final org.nd4j.shade.protobuf.UnknownFieldSet unknownFields) {
return super.mergeUnknownFields(unknownFields);
}
// @@protoc_insertion_point(builder_scope:org.nd4j.ir.TypeProto)
}
// @@protoc_insertion_point(class_scope:org.nd4j.ir.TypeProto)
private static final org.nd4j.ir.TensorNamespace.TypeProto DEFAULT_INSTANCE;
static {
DEFAULT_INSTANCE = new org.nd4j.ir.TensorNamespace.TypeProto();
}
public static org.nd4j.ir.TensorNamespace.TypeProto getDefaultInstance() {
return DEFAULT_INSTANCE;
}
private static final org.nd4j.shade.protobuf.Parser
PARSER = new org.nd4j.shade.protobuf.AbstractParser() {
@java.lang.Override
public TypeProto parsePartialFrom(
org.nd4j.shade.protobuf.CodedInputStream input,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
return new TypeProto(input, extensionRegistry);
}
};
public static org.nd4j.shade.protobuf.Parser parser() {
return PARSER;
}
@java.lang.Override
public org.nd4j.shade.protobuf.Parser getParserForType() {
return PARSER;
}
@java.lang.Override
public org.nd4j.ir.TensorNamespace.TypeProto getDefaultInstanceForType() {
return DEFAULT_INSTANCE;
}
}
public interface TensorShapeProtoOrBuilder extends
// @@protoc_insertion_point(interface_extends:org.nd4j.ir.TensorShapeProto)
org.nd4j.shade.protobuf.MessageOrBuilder {
/**
* repeated .org.nd4j.ir.TensorShapeProto.Dimension dim = 1;
*/
java.util.List
getDimList();
/**
* repeated .org.nd4j.ir.TensorShapeProto.Dimension dim = 1;
*/
org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension getDim(int index);
/**
* repeated .org.nd4j.ir.TensorShapeProto.Dimension dim = 1;
*/
int getDimCount();
/**
* repeated .org.nd4j.ir.TensorShapeProto.Dimension dim = 1;
*/
java.util.List
getDimOrBuilderList();
/**
* repeated .org.nd4j.ir.TensorShapeProto.Dimension dim = 1;
*/
org.nd4j.ir.TensorNamespace.TensorShapeProto.DimensionOrBuilder getDimOrBuilder(
int index);
}
/**
*
* Defines a tensor shape. A dimension can be either an integer value
* or a symbolic variable. A symbolic variable represents an unknown
* dimension.
*
*
* Protobuf type {@code org.nd4j.ir.TensorShapeProto}
*/
public static final class TensorShapeProto extends
org.nd4j.shade.protobuf.GeneratedMessageV3 implements
// @@protoc_insertion_point(message_implements:org.nd4j.ir.TensorShapeProto)
TensorShapeProtoOrBuilder {
private static final long serialVersionUID = 0L;
// Use TensorShapeProto.newBuilder() to construct.
private TensorShapeProto(org.nd4j.shade.protobuf.GeneratedMessageV3.Builder builder) {
super(builder);
}
private TensorShapeProto() {
dim_ = java.util.Collections.emptyList();
}
@java.lang.Override
@SuppressWarnings({"unused"})
protected java.lang.Object newInstance(
UnusedPrivateParameter unused) {
return new TensorShapeProto();
}
@java.lang.Override
public final org.nd4j.shade.protobuf.UnknownFieldSet
getUnknownFields() {
return this.unknownFields;
}
private TensorShapeProto(
org.nd4j.shade.protobuf.CodedInputStream input,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
this();
if (extensionRegistry == null) {
throw new java.lang.NullPointerException();
}
int mutable_bitField0_ = 0;
org.nd4j.shade.protobuf.UnknownFieldSet.Builder unknownFields =
org.nd4j.shade.protobuf.UnknownFieldSet.newBuilder();
try {
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done = true;
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case 10: {
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dim_ = new java.util.ArrayList();
mutable_bitField0_ |= 0x00000001;
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dim_.add(
input.readMessage(org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension.parser(), extensionRegistry));
break;
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default: {
if (!parseUnknownField(
input, unknownFields, extensionRegistry, tag)) {
done = true;
}
break;
}
}
}
} catch (org.nd4j.shade.protobuf.InvalidProtocolBufferException e) {
throw e.setUnfinishedMessage(this);
} catch (org.nd4j.shade.protobuf.UninitializedMessageException e) {
throw e.asInvalidProtocolBufferException().setUnfinishedMessage(this);
} catch (java.io.IOException e) {
throw new org.nd4j.shade.protobuf.InvalidProtocolBufferException(
e).setUnfinishedMessage(this);
} finally {
if (((mutable_bitField0_ & 0x00000001) != 0)) {
dim_ = java.util.Collections.unmodifiableList(dim_);
}
this.unknownFields = unknownFields.build();
makeExtensionsImmutable();
}
}
public static final org.nd4j.shade.protobuf.Descriptors.Descriptor
getDescriptor() {
return org.nd4j.ir.TensorNamespace.internal_static_org_nd4j_ir_TensorShapeProto_descriptor;
}
@java.lang.Override
protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
internalGetFieldAccessorTable() {
return org.nd4j.ir.TensorNamespace.internal_static_org_nd4j_ir_TensorShapeProto_fieldAccessorTable
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org.nd4j.ir.TensorNamespace.TensorShapeProto.class, org.nd4j.ir.TensorNamespace.TensorShapeProto.Builder.class);
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public interface DimensionOrBuilder extends
// @@protoc_insertion_point(interface_extends:org.nd4j.ir.TensorShapeProto.Dimension)
org.nd4j.shade.protobuf.MessageOrBuilder {
/**
* int64 dim_value = 1;
* @return Whether the dimValue field is set.
*/
boolean hasDimValue();
/**
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*/
long getDimValue();
/**
*
* namespace Shape
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*
* string dim_param = 2;
* @return Whether the dimParam field is set.
*/
boolean hasDimParam();
/**
*
* namespace Shape
*
*
* string dim_param = 2;
* @return The dimParam.
*/
java.lang.String getDimParam();
/**
*
* namespace Shape
*
*
* string dim_param = 2;
* @return The bytes for dimParam.
*/
org.nd4j.shade.protobuf.ByteString
getDimParamBytes();
public org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension.ValueCase getValueCase();
}
/**
* Protobuf type {@code org.nd4j.ir.TensorShapeProto.Dimension}
*/
public static final class Dimension extends
org.nd4j.shade.protobuf.GeneratedMessageV3 implements
// @@protoc_insertion_point(message_implements:org.nd4j.ir.TensorShapeProto.Dimension)
DimensionOrBuilder {
private static final long serialVersionUID = 0L;
// Use Dimension.newBuilder() to construct.
private Dimension(org.nd4j.shade.protobuf.GeneratedMessageV3.Builder builder) {
super(builder);
}
private Dimension() {
}
@java.lang.Override
@SuppressWarnings({"unused"})
protected java.lang.Object newInstance(
UnusedPrivateParameter unused) {
return new Dimension();
}
@java.lang.Override
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getUnknownFields() {
return this.unknownFields;
}
private Dimension(
org.nd4j.shade.protobuf.CodedInputStream input,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
this();
if (extensionRegistry == null) {
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org.nd4j.shade.protobuf.UnknownFieldSet.Builder unknownFields =
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try {
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int tag = input.readTag();
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case 8: {
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valueCase_ = 1;
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valueCase_ = 2;
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if (!parseUnknownField(
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throw e.setUnfinishedMessage(this);
} catch (org.nd4j.shade.protobuf.UninitializedMessageException e) {
throw e.asInvalidProtocolBufferException().setUnfinishedMessage(this);
} catch (java.io.IOException e) {
throw new org.nd4j.shade.protobuf.InvalidProtocolBufferException(
e).setUnfinishedMessage(this);
} finally {
this.unknownFields = unknownFields.build();
makeExtensionsImmutable();
}
}
public static final org.nd4j.shade.protobuf.Descriptors.Descriptor
getDescriptor() {
return org.nd4j.ir.TensorNamespace.internal_static_org_nd4j_ir_TensorShapeProto_Dimension_descriptor;
}
@java.lang.Override
protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
internalGetFieldAccessorTable() {
return org.nd4j.ir.TensorNamespace.internal_static_org_nd4j_ir_TensorShapeProto_Dimension_fieldAccessorTable
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private java.lang.Object value_;
public enum ValueCase
implements org.nd4j.shade.protobuf.Internal.EnumLite,
org.nd4j.shade.protobuf.AbstractMessage.InternalOneOfEnum {
DIM_VALUE(1),
DIM_PARAM(2),
VALUE_NOT_SET(0);
private final int value;
private ValueCase(int value) {
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/**
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switch (value) {
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case 2: return DIM_PARAM;
case 0: return VALUE_NOT_SET;
default: return null;
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public int getNumber() {
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getValueCase() {
return ValueCase.forNumber(
valueCase_);
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/**
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* @return Whether the dimValue field is set.
*/
@java.lang.Override
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return valueCase_ == 1;
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/**
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* @return The dimValue.
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if (valueCase_ == 1) {
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return 0L;
}
public static final int DIM_PARAM_FIELD_NUMBER = 2;
/**
*
* namespace Shape
*
*
* string dim_param = 2;
* @return Whether the dimParam field is set.
*/
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return valueCase_ == 2;
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/**
*
* namespace Shape
*
*
* string dim_param = 2;
* @return The dimParam.
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java.lang.Object ref = "";
if (valueCase_ == 2) {
ref = value_;
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if (ref instanceof java.lang.String) {
return (java.lang.String) ref;
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org.nd4j.shade.protobuf.ByteString bs =
(org.nd4j.shade.protobuf.ByteString) ref;
java.lang.String s = bs.toStringUtf8();
if (valueCase_ == 2) {
value_ = s;
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return s;
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/**
*
* namespace Shape
*
*
* string dim_param = 2;
* @return The bytes for dimParam.
*/
public org.nd4j.shade.protobuf.ByteString
getDimParamBytes() {
java.lang.Object ref = "";
if (valueCase_ == 2) {
ref = value_;
}
if (ref instanceof java.lang.String) {
org.nd4j.shade.protobuf.ByteString b =
org.nd4j.shade.protobuf.ByteString.copyFromUtf8(
(java.lang.String) ref);
if (valueCase_ == 2) {
value_ = b;
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@java.lang.Override
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byte isInitialized = memoizedIsInitialized;
if (isInitialized == 1) return true;
if (isInitialized == 0) return false;
memoizedIsInitialized = 1;
return true;
}
@java.lang.Override
public void writeTo(org.nd4j.shade.protobuf.CodedOutputStream output)
throws java.io.IOException {
if (valueCase_ == 1) {
output.writeInt64(
1, (long)((java.lang.Long) value_));
}
if (valueCase_ == 2) {
org.nd4j.shade.protobuf.GeneratedMessageV3.writeString(output, 2, value_);
}
unknownFields.writeTo(output);
}
@java.lang.Override
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int size = memoizedSize;
if (size != -1) return size;
size = 0;
if (valueCase_ == 1) {
size += org.nd4j.shade.protobuf.CodedOutputStream
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if (valueCase_ == 2) {
size += org.nd4j.shade.protobuf.GeneratedMessageV3.computeStringSize(2, value_);
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size += unknownFields.getSerializedSize();
memoizedSize = size;
return size;
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@java.lang.Override
public boolean equals(final java.lang.Object obj) {
if (obj == this) {
return true;
}
if (!(obj instanceof org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension)) {
return super.equals(obj);
}
org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension other = (org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension) obj;
if (!getValueCase().equals(other.getValueCase())) return false;
switch (valueCase_) {
case 1:
if (getDimValue()
!= other.getDimValue()) return false;
break;
case 2:
if (!getDimParam()
.equals(other.getDimParam())) return false;
break;
case 0:
default:
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if (!unknownFields.equals(other.unknownFields)) return false;
return true;
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@java.lang.Override
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if (memoizedHashCode != 0) {
return memoizedHashCode;
}
int hash = 41;
hash = (19 * hash) + getDescriptor().hashCode();
switch (valueCase_) {
case 1:
hash = (37 * hash) + DIM_VALUE_FIELD_NUMBER;
hash = (53 * hash) + org.nd4j.shade.protobuf.Internal.hashLong(
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break;
case 2:
hash = (37 * hash) + DIM_PARAM_FIELD_NUMBER;
hash = (53 * hash) + getDimParam().hashCode();
break;
case 0:
default:
}
hash = (29 * hash) + unknownFields.hashCode();
memoizedHashCode = hash;
return hash;
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public static org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension parseFrom(
java.nio.ByteBuffer data)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension parseFrom(
java.nio.ByteBuffer data,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension parseFrom(
org.nd4j.shade.protobuf.ByteString data)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension parseFrom(
org.nd4j.shade.protobuf.ByteString data,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension parseFrom(byte[] data)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension parseFrom(
byte[] data,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension parseFrom(java.io.InputStream input)
throws java.io.IOException {
return org.nd4j.shade.protobuf.GeneratedMessageV3
.parseWithIOException(PARSER, input);
}
public static org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension parseFrom(
java.io.InputStream input,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return org.nd4j.shade.protobuf.GeneratedMessageV3
.parseWithIOException(PARSER, input, extensionRegistry);
}
public static org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension parseDelimitedFrom(java.io.InputStream input)
throws java.io.IOException {
return org.nd4j.shade.protobuf.GeneratedMessageV3
.parseDelimitedWithIOException(PARSER, input);
}
public static org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension parseDelimitedFrom(
java.io.InputStream input,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return org.nd4j.shade.protobuf.GeneratedMessageV3
.parseDelimitedWithIOException(PARSER, input, extensionRegistry);
}
public static org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension parseFrom(
org.nd4j.shade.protobuf.CodedInputStream input)
throws java.io.IOException {
return org.nd4j.shade.protobuf.GeneratedMessageV3
.parseWithIOException(PARSER, input);
}
public static org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension parseFrom(
org.nd4j.shade.protobuf.CodedInputStream input,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return org.nd4j.shade.protobuf.GeneratedMessageV3
.parseWithIOException(PARSER, input, extensionRegistry);
}
@java.lang.Override
public Builder newBuilderForType() { return newBuilder(); }
public static Builder newBuilder() {
return DEFAULT_INSTANCE.toBuilder();
}
public static Builder newBuilder(org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension prototype) {
return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
}
@java.lang.Override
public Builder toBuilder() {
return this == DEFAULT_INSTANCE
? new Builder() : new Builder().mergeFrom(this);
}
@java.lang.Override
protected Builder newBuilderForType(
org.nd4j.shade.protobuf.GeneratedMessageV3.BuilderParent parent) {
Builder builder = new Builder(parent);
return builder;
}
/**
* Protobuf type {@code org.nd4j.ir.TensorShapeProto.Dimension}
*/
public static final class Builder extends
org.nd4j.shade.protobuf.GeneratedMessageV3.Builder implements
// @@protoc_insertion_point(builder_implements:org.nd4j.ir.TensorShapeProto.Dimension)
org.nd4j.ir.TensorNamespace.TensorShapeProto.DimensionOrBuilder {
public static final org.nd4j.shade.protobuf.Descriptors.Descriptor
getDescriptor() {
return org.nd4j.ir.TensorNamespace.internal_static_org_nd4j_ir_TensorShapeProto_Dimension_descriptor;
}
@java.lang.Override
protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
internalGetFieldAccessorTable() {
return org.nd4j.ir.TensorNamespace.internal_static_org_nd4j_ir_TensorShapeProto_Dimension_fieldAccessorTable
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org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension.class, org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension.Builder.class);
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private Builder() {
maybeForceBuilderInitialization();
}
private Builder(
org.nd4j.shade.protobuf.GeneratedMessageV3.BuilderParent parent) {
super(parent);
maybeForceBuilderInitialization();
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@java.lang.Override
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super.clear();
valueCase_ = 0;
value_ = null;
return this;
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@java.lang.Override
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return org.nd4j.ir.TensorNamespace.internal_static_org_nd4j_ir_TensorShapeProto_Dimension_descriptor;
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@java.lang.Override
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return org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension.getDefaultInstance();
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@java.lang.Override
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org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension result = buildPartial();
if (!result.isInitialized()) {
throw newUninitializedMessageException(result);
}
return result;
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@java.lang.Override
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org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension result = new org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension(this);
if (valueCase_ == 1) {
result.value_ = value_;
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if (valueCase_ == 2) {
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onBuilt();
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@java.lang.Override
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return super.clone();
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@java.lang.Override
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org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
java.lang.Object value) {
return super.setField(field, value);
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@java.lang.Override
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org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field) {
return super.clearField(field);
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@java.lang.Override
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org.nd4j.shade.protobuf.Descriptors.OneofDescriptor oneof) {
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org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
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org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
java.lang.Object value) {
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public Builder mergeFrom(org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension other) {
if (other == org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension.getDefaultInstance()) return this;
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org.nd4j.shade.protobuf.CodedInputStream input,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
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} catch (org.nd4j.shade.protobuf.InvalidProtocolBufferException e) {
parsedMessage = (org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension) e.getUnfinishedMessage();
throw e.unwrapIOException();
} finally {
if (parsedMessage != null) {
mergeFrom(parsedMessage);
}
}
return this;
}
private int valueCase_ = 0;
private java.lang.Object value_;
public ValueCase
getValueCase() {
return ValueCase.forNumber(
valueCase_);
}
public Builder clearValue() {
valueCase_ = 0;
value_ = null;
onChanged();
return this;
}
/**
* int64 dim_value = 1;
* @return Whether the dimValue field is set.
*/
public boolean hasDimValue() {
return valueCase_ == 1;
}
/**
* int64 dim_value = 1;
* @return The dimValue.
*/
public long getDimValue() {
if (valueCase_ == 1) {
return (java.lang.Long) value_;
}
return 0L;
}
/**
* int64 dim_value = 1;
* @param value The dimValue to set.
* @return This builder for chaining.
*/
public Builder setDimValue(long value) {
valueCase_ = 1;
value_ = value;
onChanged();
return this;
}
/**
* int64 dim_value = 1;
* @return This builder for chaining.
*/
public Builder clearDimValue() {
if (valueCase_ == 1) {
valueCase_ = 0;
value_ = null;
onChanged();
}
return this;
}
/**
*
* namespace Shape
*
*
* string dim_param = 2;
* @return Whether the dimParam field is set.
*/
@java.lang.Override
public boolean hasDimParam() {
return valueCase_ == 2;
}
/**
*
* namespace Shape
*
*
* string dim_param = 2;
* @return The dimParam.
*/
@java.lang.Override
public java.lang.String getDimParam() {
java.lang.Object ref = "";
if (valueCase_ == 2) {
ref = value_;
}
if (!(ref instanceof java.lang.String)) {
org.nd4j.shade.protobuf.ByteString bs =
(org.nd4j.shade.protobuf.ByteString) ref;
java.lang.String s = bs.toStringUtf8();
if (valueCase_ == 2) {
value_ = s;
}
return s;
} else {
return (java.lang.String) ref;
}
}
/**
*
* namespace Shape
*
*
* string dim_param = 2;
* @return The bytes for dimParam.
*/
@java.lang.Override
public org.nd4j.shade.protobuf.ByteString
getDimParamBytes() {
java.lang.Object ref = "";
if (valueCase_ == 2) {
ref = value_;
}
if (ref instanceof String) {
org.nd4j.shade.protobuf.ByteString b =
org.nd4j.shade.protobuf.ByteString.copyFromUtf8(
(java.lang.String) ref);
if (valueCase_ == 2) {
value_ = b;
}
return b;
} else {
return (org.nd4j.shade.protobuf.ByteString) ref;
}
}
/**
*
* namespace Shape
*
*
* string dim_param = 2;
* @param value The dimParam to set.
* @return This builder for chaining.
*/
public Builder setDimParam(
java.lang.String value) {
if (value == null) {
throw new NullPointerException();
}
valueCase_ = 2;
value_ = value;
onChanged();
return this;
}
/**
*
* namespace Shape
*
*
* string dim_param = 2;
* @return This builder for chaining.
*/
public Builder clearDimParam() {
if (valueCase_ == 2) {
valueCase_ = 0;
value_ = null;
onChanged();
}
return this;
}
/**
*
* namespace Shape
*
*
* string dim_param = 2;
* @param value The bytes for dimParam to set.
* @return This builder for chaining.
*/
public Builder setDimParamBytes(
org.nd4j.shade.protobuf.ByteString value) {
if (value == null) {
throw new NullPointerException();
}
checkByteStringIsUtf8(value);
valueCase_ = 2;
value_ = value;
onChanged();
return this;
}
@java.lang.Override
public final Builder setUnknownFields(
final org.nd4j.shade.protobuf.UnknownFieldSet unknownFields) {
return super.setUnknownFields(unknownFields);
}
@java.lang.Override
public final Builder mergeUnknownFields(
final org.nd4j.shade.protobuf.UnknownFieldSet unknownFields) {
return super.mergeUnknownFields(unknownFields);
}
// @@protoc_insertion_point(builder_scope:org.nd4j.ir.TensorShapeProto.Dimension)
}
// @@protoc_insertion_point(class_scope:org.nd4j.ir.TensorShapeProto.Dimension)
private static final org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension DEFAULT_INSTANCE;
static {
DEFAULT_INSTANCE = new org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension();
}
public static org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension getDefaultInstance() {
return DEFAULT_INSTANCE;
}
private static final org.nd4j.shade.protobuf.Parser
PARSER = new org.nd4j.shade.protobuf.AbstractParser() {
@java.lang.Override
public Dimension parsePartialFrom(
org.nd4j.shade.protobuf.CodedInputStream input,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
return new Dimension(input, extensionRegistry);
}
};
public static org.nd4j.shade.protobuf.Parser parser() {
return PARSER;
}
@java.lang.Override
public org.nd4j.shade.protobuf.Parser getParserForType() {
return PARSER;
}
@java.lang.Override
public org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension getDefaultInstanceForType() {
return DEFAULT_INSTANCE;
}
}
public static final int DIM_FIELD_NUMBER = 1;
private java.util.List dim_;
/**
* repeated .org.nd4j.ir.TensorShapeProto.Dimension dim = 1;
*/
@java.lang.Override
public java.util.List getDimList() {
return dim_;
}
/**
* repeated .org.nd4j.ir.TensorShapeProto.Dimension dim = 1;
*/
@java.lang.Override
public java.util.List
getDimOrBuilderList() {
return dim_;
}
/**
* repeated .org.nd4j.ir.TensorShapeProto.Dimension dim = 1;
*/
@java.lang.Override
public int getDimCount() {
return dim_.size();
}
/**
* repeated .org.nd4j.ir.TensorShapeProto.Dimension dim = 1;
*/
@java.lang.Override
public org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension getDim(int index) {
return dim_.get(index);
}
/**
* repeated .org.nd4j.ir.TensorShapeProto.Dimension dim = 1;
*/
@java.lang.Override
public org.nd4j.ir.TensorNamespace.TensorShapeProto.DimensionOrBuilder getDimOrBuilder(
int index) {
return dim_.get(index);
}
private byte memoizedIsInitialized = -1;
@java.lang.Override
public final boolean isInitialized() {
byte isInitialized = memoizedIsInitialized;
if (isInitialized == 1) return true;
if (isInitialized == 0) return false;
memoizedIsInitialized = 1;
return true;
}
@java.lang.Override
public void writeTo(org.nd4j.shade.protobuf.CodedOutputStream output)
throws java.io.IOException {
for (int i = 0; i < dim_.size(); i++) {
output.writeMessage(1, dim_.get(i));
}
unknownFields.writeTo(output);
}
@java.lang.Override
public int getSerializedSize() {
int size = memoizedSize;
if (size != -1) return size;
size = 0;
for (int i = 0; i < dim_.size(); i++) {
size += org.nd4j.shade.protobuf.CodedOutputStream
.computeMessageSize(1, dim_.get(i));
}
size += unknownFields.getSerializedSize();
memoizedSize = size;
return size;
}
@java.lang.Override
public boolean equals(final java.lang.Object obj) {
if (obj == this) {
return true;
}
if (!(obj instanceof org.nd4j.ir.TensorNamespace.TensorShapeProto)) {
return super.equals(obj);
}
org.nd4j.ir.TensorNamespace.TensorShapeProto other = (org.nd4j.ir.TensorNamespace.TensorShapeProto) obj;
if (!getDimList()
.equals(other.getDimList())) return false;
if (!unknownFields.equals(other.unknownFields)) return false;
return true;
}
@java.lang.Override
public int hashCode() {
if (memoizedHashCode != 0) {
return memoizedHashCode;
}
int hash = 41;
hash = (19 * hash) + getDescriptor().hashCode();
if (getDimCount() > 0) {
hash = (37 * hash) + DIM_FIELD_NUMBER;
hash = (53 * hash) + getDimList().hashCode();
}
hash = (29 * hash) + unknownFields.hashCode();
memoizedHashCode = hash;
return hash;
}
public static org.nd4j.ir.TensorNamespace.TensorShapeProto parseFrom(
java.nio.ByteBuffer data)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static org.nd4j.ir.TensorNamespace.TensorShapeProto parseFrom(
java.nio.ByteBuffer data,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static org.nd4j.ir.TensorNamespace.TensorShapeProto parseFrom(
org.nd4j.shade.protobuf.ByteString data)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static org.nd4j.ir.TensorNamespace.TensorShapeProto parseFrom(
org.nd4j.shade.protobuf.ByteString data,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static org.nd4j.ir.TensorNamespace.TensorShapeProto parseFrom(byte[] data)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static org.nd4j.ir.TensorNamespace.TensorShapeProto parseFrom(
byte[] data,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static org.nd4j.ir.TensorNamespace.TensorShapeProto parseFrom(java.io.InputStream input)
throws java.io.IOException {
return org.nd4j.shade.protobuf.GeneratedMessageV3
.parseWithIOException(PARSER, input);
}
public static org.nd4j.ir.TensorNamespace.TensorShapeProto parseFrom(
java.io.InputStream input,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return org.nd4j.shade.protobuf.GeneratedMessageV3
.parseWithIOException(PARSER, input, extensionRegistry);
}
public static org.nd4j.ir.TensorNamespace.TensorShapeProto parseDelimitedFrom(java.io.InputStream input)
throws java.io.IOException {
return org.nd4j.shade.protobuf.GeneratedMessageV3
.parseDelimitedWithIOException(PARSER, input);
}
public static org.nd4j.ir.TensorNamespace.TensorShapeProto parseDelimitedFrom(
java.io.InputStream input,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return org.nd4j.shade.protobuf.GeneratedMessageV3
.parseDelimitedWithIOException(PARSER, input, extensionRegistry);
}
public static org.nd4j.ir.TensorNamespace.TensorShapeProto parseFrom(
org.nd4j.shade.protobuf.CodedInputStream input)
throws java.io.IOException {
return org.nd4j.shade.protobuf.GeneratedMessageV3
.parseWithIOException(PARSER, input);
}
public static org.nd4j.ir.TensorNamespace.TensorShapeProto parseFrom(
org.nd4j.shade.protobuf.CodedInputStream input,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return org.nd4j.shade.protobuf.GeneratedMessageV3
.parseWithIOException(PARSER, input, extensionRegistry);
}
@java.lang.Override
public Builder newBuilderForType() { return newBuilder(); }
public static Builder newBuilder() {
return DEFAULT_INSTANCE.toBuilder();
}
public static Builder newBuilder(org.nd4j.ir.TensorNamespace.TensorShapeProto prototype) {
return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
}
@java.lang.Override
public Builder toBuilder() {
return this == DEFAULT_INSTANCE
? new Builder() : new Builder().mergeFrom(this);
}
@java.lang.Override
protected Builder newBuilderForType(
org.nd4j.shade.protobuf.GeneratedMessageV3.BuilderParent parent) {
Builder builder = new Builder(parent);
return builder;
}
/**
*
* Defines a tensor shape. A dimension can be either an integer value
* or a symbolic variable. A symbolic variable represents an unknown
* dimension.
*
*
* Protobuf type {@code org.nd4j.ir.TensorShapeProto}
*/
public static final class Builder extends
org.nd4j.shade.protobuf.GeneratedMessageV3.Builder implements
// @@protoc_insertion_point(builder_implements:org.nd4j.ir.TensorShapeProto)
org.nd4j.ir.TensorNamespace.TensorShapeProtoOrBuilder {
public static final org.nd4j.shade.protobuf.Descriptors.Descriptor
getDescriptor() {
return org.nd4j.ir.TensorNamespace.internal_static_org_nd4j_ir_TensorShapeProto_descriptor;
}
@java.lang.Override
protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
internalGetFieldAccessorTable() {
return org.nd4j.ir.TensorNamespace.internal_static_org_nd4j_ir_TensorShapeProto_fieldAccessorTable
.ensureFieldAccessorsInitialized(
org.nd4j.ir.TensorNamespace.TensorShapeProto.class, org.nd4j.ir.TensorNamespace.TensorShapeProto.Builder.class);
}
// Construct using org.nd4j.ir.TensorNamespace.TensorShapeProto.newBuilder()
private Builder() {
maybeForceBuilderInitialization();
}
private Builder(
org.nd4j.shade.protobuf.GeneratedMessageV3.BuilderParent parent) {
super(parent);
maybeForceBuilderInitialization();
}
private void maybeForceBuilderInitialization() {
if (org.nd4j.shade.protobuf.GeneratedMessageV3
.alwaysUseFieldBuilders) {
getDimFieldBuilder();
}
}
@java.lang.Override
public Builder clear() {
super.clear();
if (dimBuilder_ == null) {
dim_ = java.util.Collections.emptyList();
bitField0_ = (bitField0_ & ~0x00000001);
} else {
dimBuilder_.clear();
}
return this;
}
@java.lang.Override
public org.nd4j.shade.protobuf.Descriptors.Descriptor
getDescriptorForType() {
return org.nd4j.ir.TensorNamespace.internal_static_org_nd4j_ir_TensorShapeProto_descriptor;
}
@java.lang.Override
public org.nd4j.ir.TensorNamespace.TensorShapeProto getDefaultInstanceForType() {
return org.nd4j.ir.TensorNamespace.TensorShapeProto.getDefaultInstance();
}
@java.lang.Override
public org.nd4j.ir.TensorNamespace.TensorShapeProto build() {
org.nd4j.ir.TensorNamespace.TensorShapeProto result = buildPartial();
if (!result.isInitialized()) {
throw newUninitializedMessageException(result);
}
return result;
}
@java.lang.Override
public org.nd4j.ir.TensorNamespace.TensorShapeProto buildPartial() {
org.nd4j.ir.TensorNamespace.TensorShapeProto result = new org.nd4j.ir.TensorNamespace.TensorShapeProto(this);
int from_bitField0_ = bitField0_;
if (dimBuilder_ == null) {
if (((bitField0_ & 0x00000001) != 0)) {
dim_ = java.util.Collections.unmodifiableList(dim_);
bitField0_ = (bitField0_ & ~0x00000001);
}
result.dim_ = dim_;
} else {
result.dim_ = dimBuilder_.build();
}
onBuilt();
return result;
}
@java.lang.Override
public Builder clone() {
return super.clone();
}
@java.lang.Override
public Builder setField(
org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
java.lang.Object value) {
return super.setField(field, value);
}
@java.lang.Override
public Builder clearField(
org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field) {
return super.clearField(field);
}
@java.lang.Override
public Builder clearOneof(
org.nd4j.shade.protobuf.Descriptors.OneofDescriptor oneof) {
return super.clearOneof(oneof);
}
@java.lang.Override
public Builder setRepeatedField(
org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
int index, java.lang.Object value) {
return super.setRepeatedField(field, index, value);
}
@java.lang.Override
public Builder addRepeatedField(
org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
java.lang.Object value) {
return super.addRepeatedField(field, value);
}
@java.lang.Override
public Builder mergeFrom(org.nd4j.shade.protobuf.Message other) {
if (other instanceof org.nd4j.ir.TensorNamespace.TensorShapeProto) {
return mergeFrom((org.nd4j.ir.TensorNamespace.TensorShapeProto)other);
} else {
super.mergeFrom(other);
return this;
}
}
public Builder mergeFrom(org.nd4j.ir.TensorNamespace.TensorShapeProto other) {
if (other == org.nd4j.ir.TensorNamespace.TensorShapeProto.getDefaultInstance()) return this;
if (dimBuilder_ == null) {
if (!other.dim_.isEmpty()) {
if (dim_.isEmpty()) {
dim_ = other.dim_;
bitField0_ = (bitField0_ & ~0x00000001);
} else {
ensureDimIsMutable();
dim_.addAll(other.dim_);
}
onChanged();
}
} else {
if (!other.dim_.isEmpty()) {
if (dimBuilder_.isEmpty()) {
dimBuilder_.dispose();
dimBuilder_ = null;
dim_ = other.dim_;
bitField0_ = (bitField0_ & ~0x00000001);
dimBuilder_ =
org.nd4j.shade.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders ?
getDimFieldBuilder() : null;
} else {
dimBuilder_.addAllMessages(other.dim_);
}
}
}
this.mergeUnknownFields(other.unknownFields);
onChanged();
return this;
}
@java.lang.Override
public final boolean isInitialized() {
return true;
}
@java.lang.Override
public Builder mergeFrom(
org.nd4j.shade.protobuf.CodedInputStream input,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
org.nd4j.ir.TensorNamespace.TensorShapeProto parsedMessage = null;
try {
parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
} catch (org.nd4j.shade.protobuf.InvalidProtocolBufferException e) {
parsedMessage = (org.nd4j.ir.TensorNamespace.TensorShapeProto) e.getUnfinishedMessage();
throw e.unwrapIOException();
} finally {
if (parsedMessage != null) {
mergeFrom(parsedMessage);
}
}
return this;
}
private int bitField0_;
private java.util.List dim_ =
java.util.Collections.emptyList();
private void ensureDimIsMutable() {
if (!((bitField0_ & 0x00000001) != 0)) {
dim_ = new java.util.ArrayList(dim_);
bitField0_ |= 0x00000001;
}
}
private org.nd4j.shade.protobuf.RepeatedFieldBuilderV3<
org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension, org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension.Builder, org.nd4j.ir.TensorNamespace.TensorShapeProto.DimensionOrBuilder> dimBuilder_;
/**
* repeated .org.nd4j.ir.TensorShapeProto.Dimension dim = 1;
*/
public java.util.List getDimList() {
if (dimBuilder_ == null) {
return java.util.Collections.unmodifiableList(dim_);
} else {
return dimBuilder_.getMessageList();
}
}
/**
* repeated .org.nd4j.ir.TensorShapeProto.Dimension dim = 1;
*/
public int getDimCount() {
if (dimBuilder_ == null) {
return dim_.size();
} else {
return dimBuilder_.getCount();
}
}
/**
* repeated .org.nd4j.ir.TensorShapeProto.Dimension dim = 1;
*/
public org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension getDim(int index) {
if (dimBuilder_ == null) {
return dim_.get(index);
} else {
return dimBuilder_.getMessage(index);
}
}
/**
* repeated .org.nd4j.ir.TensorShapeProto.Dimension dim = 1;
*/
public Builder setDim(
int index, org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension value) {
if (dimBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensureDimIsMutable();
dim_.set(index, value);
onChanged();
} else {
dimBuilder_.setMessage(index, value);
}
return this;
}
/**
* repeated .org.nd4j.ir.TensorShapeProto.Dimension dim = 1;
*/
public Builder setDim(
int index, org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension.Builder builderForValue) {
if (dimBuilder_ == null) {
ensureDimIsMutable();
dim_.set(index, builderForValue.build());
onChanged();
} else {
dimBuilder_.setMessage(index, builderForValue.build());
}
return this;
}
/**
* repeated .org.nd4j.ir.TensorShapeProto.Dimension dim = 1;
*/
public Builder addDim(org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension value) {
if (dimBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensureDimIsMutable();
dim_.add(value);
onChanged();
} else {
dimBuilder_.addMessage(value);
}
return this;
}
/**
* repeated .org.nd4j.ir.TensorShapeProto.Dimension dim = 1;
*/
public Builder addDim(
int index, org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension value) {
if (dimBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensureDimIsMutable();
dim_.add(index, value);
onChanged();
} else {
dimBuilder_.addMessage(index, value);
}
return this;
}
/**
* repeated .org.nd4j.ir.TensorShapeProto.Dimension dim = 1;
*/
public Builder addDim(
org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension.Builder builderForValue) {
if (dimBuilder_ == null) {
ensureDimIsMutable();
dim_.add(builderForValue.build());
onChanged();
} else {
dimBuilder_.addMessage(builderForValue.build());
}
return this;
}
/**
* repeated .org.nd4j.ir.TensorShapeProto.Dimension dim = 1;
*/
public Builder addDim(
int index, org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension.Builder builderForValue) {
if (dimBuilder_ == null) {
ensureDimIsMutable();
dim_.add(index, builderForValue.build());
onChanged();
} else {
dimBuilder_.addMessage(index, builderForValue.build());
}
return this;
}
/**
* repeated .org.nd4j.ir.TensorShapeProto.Dimension dim = 1;
*/
public Builder addAllDim(
java.lang.Iterable values) {
if (dimBuilder_ == null) {
ensureDimIsMutable();
org.nd4j.shade.protobuf.AbstractMessageLite.Builder.addAll(
values, dim_);
onChanged();
} else {
dimBuilder_.addAllMessages(values);
}
return this;
}
/**
* repeated .org.nd4j.ir.TensorShapeProto.Dimension dim = 1;
*/
public Builder clearDim() {
if (dimBuilder_ == null) {
dim_ = java.util.Collections.emptyList();
bitField0_ = (bitField0_ & ~0x00000001);
onChanged();
} else {
dimBuilder_.clear();
}
return this;
}
/**
* repeated .org.nd4j.ir.TensorShapeProto.Dimension dim = 1;
*/
public Builder removeDim(int index) {
if (dimBuilder_ == null) {
ensureDimIsMutable();
dim_.remove(index);
onChanged();
} else {
dimBuilder_.remove(index);
}
return this;
}
/**
* repeated .org.nd4j.ir.TensorShapeProto.Dimension dim = 1;
*/
public org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension.Builder getDimBuilder(
int index) {
return getDimFieldBuilder().getBuilder(index);
}
/**
* repeated .org.nd4j.ir.TensorShapeProto.Dimension dim = 1;
*/
public org.nd4j.ir.TensorNamespace.TensorShapeProto.DimensionOrBuilder getDimOrBuilder(
int index) {
if (dimBuilder_ == null) {
return dim_.get(index); } else {
return dimBuilder_.getMessageOrBuilder(index);
}
}
/**
* repeated .org.nd4j.ir.TensorShapeProto.Dimension dim = 1;
*/
public java.util.List
getDimOrBuilderList() {
if (dimBuilder_ != null) {
return dimBuilder_.getMessageOrBuilderList();
} else {
return java.util.Collections.unmodifiableList(dim_);
}
}
/**
* repeated .org.nd4j.ir.TensorShapeProto.Dimension dim = 1;
*/
public org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension.Builder addDimBuilder() {
return getDimFieldBuilder().addBuilder(
org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension.getDefaultInstance());
}
/**
* repeated .org.nd4j.ir.TensorShapeProto.Dimension dim = 1;
*/
public org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension.Builder addDimBuilder(
int index) {
return getDimFieldBuilder().addBuilder(
index, org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension.getDefaultInstance());
}
/**
* repeated .org.nd4j.ir.TensorShapeProto.Dimension dim = 1;
*/
public java.util.List
getDimBuilderList() {
return getDimFieldBuilder().getBuilderList();
}
private org.nd4j.shade.protobuf.RepeatedFieldBuilderV3<
org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension, org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension.Builder, org.nd4j.ir.TensorNamespace.TensorShapeProto.DimensionOrBuilder>
getDimFieldBuilder() {
if (dimBuilder_ == null) {
dimBuilder_ = new org.nd4j.shade.protobuf.RepeatedFieldBuilderV3<
org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension, org.nd4j.ir.TensorNamespace.TensorShapeProto.Dimension.Builder, org.nd4j.ir.TensorNamespace.TensorShapeProto.DimensionOrBuilder>(
dim_,
((bitField0_ & 0x00000001) != 0),
getParentForChildren(),
isClean());
dim_ = null;
}
return dimBuilder_;
}
@java.lang.Override
public final Builder setUnknownFields(
final org.nd4j.shade.protobuf.UnknownFieldSet unknownFields) {
return super.setUnknownFields(unknownFields);
}
@java.lang.Override
public final Builder mergeUnknownFields(
final org.nd4j.shade.protobuf.UnknownFieldSet unknownFields) {
return super.mergeUnknownFields(unknownFields);
}
// @@protoc_insertion_point(builder_scope:org.nd4j.ir.TensorShapeProto)
}
// @@protoc_insertion_point(class_scope:org.nd4j.ir.TensorShapeProto)
private static final org.nd4j.ir.TensorNamespace.TensorShapeProto DEFAULT_INSTANCE;
static {
DEFAULT_INSTANCE = new org.nd4j.ir.TensorNamespace.TensorShapeProto();
}
public static org.nd4j.ir.TensorNamespace.TensorShapeProto getDefaultInstance() {
return DEFAULT_INSTANCE;
}
private static final org.nd4j.shade.protobuf.Parser
PARSER = new org.nd4j.shade.protobuf.AbstractParser() {
@java.lang.Override
public TensorShapeProto parsePartialFrom(
org.nd4j.shade.protobuf.CodedInputStream input,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
return new TensorShapeProto(input, extensionRegistry);
}
};
public static org.nd4j.shade.protobuf.Parser parser() {
return PARSER;
}
@java.lang.Override
public org.nd4j.shade.protobuf.Parser getParserForType() {
return PARSER;
}
@java.lang.Override
public org.nd4j.ir.TensorNamespace.TensorShapeProto getDefaultInstanceForType() {
return DEFAULT_INSTANCE;
}
}
public interface ValueInfoProtoOrBuilder extends
// @@protoc_insertion_point(interface_extends:org.nd4j.ir.ValueInfoProto)
org.nd4j.shade.protobuf.MessageOrBuilder {
/**
*
* This field MUST be present in this version of the IR.
*
*
* string name = 1;
* @return The name.
*/
java.lang.String getName();
/**
*
* This field MUST be present in this version of the IR.
*
*
* string name = 1;
* @return The bytes for name.
*/
org.nd4j.shade.protobuf.ByteString
getNameBytes();
/**
*
* This field MUST be present in this version of the IR.
*
*
* .org.nd4j.ir.TypeProto type = 2;
* @return Whether the type field is set.
*/
boolean hasType();
/**
*
* This field MUST be present in this version of the IR.
*
*
* .org.nd4j.ir.TypeProto type = 2;
* @return The type.
*/
org.nd4j.ir.TensorNamespace.TypeProto getType();
/**
*
* This field MUST be present in this version of the IR.
*
*
* .org.nd4j.ir.TypeProto type = 2;
*/
org.nd4j.ir.TensorNamespace.TypeProtoOrBuilder getTypeOrBuilder();
/**
*
* A human-readable documentation for this value. Markdown is allowed.
*
*
* string doc_string = 3;
* @return The docString.
*/
java.lang.String getDocString();
/**
*
* A human-readable documentation for this value. Markdown is allowed.
*
*
* string doc_string = 3;
* @return The bytes for docString.
*/
org.nd4j.shade.protobuf.ByteString
getDocStringBytes();
}
/**
*
* Defines information on value, including the name, the type, and
* the shape of the value.
*
*
* Protobuf type {@code org.nd4j.ir.ValueInfoProto}
*/
public static final class ValueInfoProto extends
org.nd4j.shade.protobuf.GeneratedMessageV3 implements
// @@protoc_insertion_point(message_implements:org.nd4j.ir.ValueInfoProto)
ValueInfoProtoOrBuilder {
private static final long serialVersionUID = 0L;
// Use ValueInfoProto.newBuilder() to construct.
private ValueInfoProto(org.nd4j.shade.protobuf.GeneratedMessageV3.Builder builder) {
super(builder);
}
private ValueInfoProto() {
name_ = "";
docString_ = "";
}
@java.lang.Override
@SuppressWarnings({"unused"})
protected java.lang.Object newInstance(
UnusedPrivateParameter unused) {
return new ValueInfoProto();
}
@java.lang.Override
public final org.nd4j.shade.protobuf.UnknownFieldSet
getUnknownFields() {
return this.unknownFields;
}
private ValueInfoProto(
org.nd4j.shade.protobuf.CodedInputStream input,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
this();
if (extensionRegistry == null) {
throw new java.lang.NullPointerException();
}
org.nd4j.shade.protobuf.UnknownFieldSet.Builder unknownFields =
org.nd4j.shade.protobuf.UnknownFieldSet.newBuilder();
try {
boolean done = false;
while (!done) {
int tag = input.readTag();
switch (tag) {
case 0:
done = true;
break;
case 10: {
java.lang.String s = input.readStringRequireUtf8();
name_ = s;
break;
}
case 18: {
org.nd4j.ir.TensorNamespace.TypeProto.Builder subBuilder = null;
if (type_ != null) {
subBuilder = type_.toBuilder();
}
type_ = input.readMessage(org.nd4j.ir.TensorNamespace.TypeProto.parser(), extensionRegistry);
if (subBuilder != null) {
subBuilder.mergeFrom(type_);
type_ = subBuilder.buildPartial();
}
break;
}
case 26: {
java.lang.String s = input.readStringRequireUtf8();
docString_ = s;
break;
}
default: {
if (!parseUnknownField(
input, unknownFields, extensionRegistry, tag)) {
done = true;
}
break;
}
}
}
} catch (org.nd4j.shade.protobuf.InvalidProtocolBufferException e) {
throw e.setUnfinishedMessage(this);
} catch (org.nd4j.shade.protobuf.UninitializedMessageException e) {
throw e.asInvalidProtocolBufferException().setUnfinishedMessage(this);
} catch (java.io.IOException e) {
throw new org.nd4j.shade.protobuf.InvalidProtocolBufferException(
e).setUnfinishedMessage(this);
} finally {
this.unknownFields = unknownFields.build();
makeExtensionsImmutable();
}
}
public static final org.nd4j.shade.protobuf.Descriptors.Descriptor
getDescriptor() {
return org.nd4j.ir.TensorNamespace.internal_static_org_nd4j_ir_ValueInfoProto_descriptor;
}
@java.lang.Override
protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
internalGetFieldAccessorTable() {
return org.nd4j.ir.TensorNamespace.internal_static_org_nd4j_ir_ValueInfoProto_fieldAccessorTable
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org.nd4j.ir.TensorNamespace.ValueInfoProto.class, org.nd4j.ir.TensorNamespace.ValueInfoProto.Builder.class);
}
public static final int NAME_FIELD_NUMBER = 1;
private volatile java.lang.Object name_;
/**
*
* This field MUST be present in this version of the IR.
*
*
* string name = 1;
* @return The name.
*/
@java.lang.Override
public java.lang.String getName() {
java.lang.Object ref = name_;
if (ref instanceof java.lang.String) {
return (java.lang.String) ref;
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org.nd4j.shade.protobuf.ByteString bs =
(org.nd4j.shade.protobuf.ByteString) ref;
java.lang.String s = bs.toStringUtf8();
name_ = s;
return s;
}
}
/**
*
* This field MUST be present in this version of the IR.
*
*
* string name = 1;
* @return The bytes for name.
*/
@java.lang.Override
public org.nd4j.shade.protobuf.ByteString
getNameBytes() {
java.lang.Object ref = name_;
if (ref instanceof java.lang.String) {
org.nd4j.shade.protobuf.ByteString b =
org.nd4j.shade.protobuf.ByteString.copyFromUtf8(
(java.lang.String) ref);
name_ = b;
return b;
} else {
return (org.nd4j.shade.protobuf.ByteString) ref;
}
}
public static final int TYPE_FIELD_NUMBER = 2;
private org.nd4j.ir.TensorNamespace.TypeProto type_;
/**
*
* This field MUST be present in this version of the IR.
*
*
* .org.nd4j.ir.TypeProto type = 2;
* @return Whether the type field is set.
*/
@java.lang.Override
public boolean hasType() {
return type_ != null;
}
/**
*
* This field MUST be present in this version of the IR.
*
*
* .org.nd4j.ir.TypeProto type = 2;
* @return The type.
*/
@java.lang.Override
public org.nd4j.ir.TensorNamespace.TypeProto getType() {
return type_ == null ? org.nd4j.ir.TensorNamespace.TypeProto.getDefaultInstance() : type_;
}
/**
*
* This field MUST be present in this version of the IR.
*
*
* .org.nd4j.ir.TypeProto type = 2;
*/
@java.lang.Override
public org.nd4j.ir.TensorNamespace.TypeProtoOrBuilder getTypeOrBuilder() {
return getType();
}
public static final int DOC_STRING_FIELD_NUMBER = 3;
private volatile java.lang.Object docString_;
/**
*
* A human-readable documentation for this value. Markdown is allowed.
*
*
* string doc_string = 3;
* @return The docString.
*/
@java.lang.Override
public java.lang.String getDocString() {
java.lang.Object ref = docString_;
if (ref instanceof java.lang.String) {
return (java.lang.String) ref;
} else {
org.nd4j.shade.protobuf.ByteString bs =
(org.nd4j.shade.protobuf.ByteString) ref;
java.lang.String s = bs.toStringUtf8();
docString_ = s;
return s;
}
}
/**
*
* A human-readable documentation for this value. Markdown is allowed.
*
*
* string doc_string = 3;
* @return The bytes for docString.
*/
@java.lang.Override
public org.nd4j.shade.protobuf.ByteString
getDocStringBytes() {
java.lang.Object ref = docString_;
if (ref instanceof java.lang.String) {
org.nd4j.shade.protobuf.ByteString b =
org.nd4j.shade.protobuf.ByteString.copyFromUtf8(
(java.lang.String) ref);
docString_ = b;
return b;
} else {
return (org.nd4j.shade.protobuf.ByteString) ref;
}
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private byte memoizedIsInitialized = -1;
@java.lang.Override
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byte isInitialized = memoizedIsInitialized;
if (isInitialized == 1) return true;
if (isInitialized == 0) return false;
memoizedIsInitialized = 1;
return true;
}
@java.lang.Override
public void writeTo(org.nd4j.shade.protobuf.CodedOutputStream output)
throws java.io.IOException {
if (!org.nd4j.shade.protobuf.GeneratedMessageV3.isStringEmpty(name_)) {
org.nd4j.shade.protobuf.GeneratedMessageV3.writeString(output, 1, name_);
}
if (type_ != null) {
output.writeMessage(2, getType());
}
if (!org.nd4j.shade.protobuf.GeneratedMessageV3.isStringEmpty(docString_)) {
org.nd4j.shade.protobuf.GeneratedMessageV3.writeString(output, 3, docString_);
}
unknownFields.writeTo(output);
}
@java.lang.Override
public int getSerializedSize() {
int size = memoizedSize;
if (size != -1) return size;
size = 0;
if (!org.nd4j.shade.protobuf.GeneratedMessageV3.isStringEmpty(name_)) {
size += org.nd4j.shade.protobuf.GeneratedMessageV3.computeStringSize(1, name_);
}
if (type_ != null) {
size += org.nd4j.shade.protobuf.CodedOutputStream
.computeMessageSize(2, getType());
}
if (!org.nd4j.shade.protobuf.GeneratedMessageV3.isStringEmpty(docString_)) {
size += org.nd4j.shade.protobuf.GeneratedMessageV3.computeStringSize(3, docString_);
}
size += unknownFields.getSerializedSize();
memoizedSize = size;
return size;
}
@java.lang.Override
public boolean equals(final java.lang.Object obj) {
if (obj == this) {
return true;
}
if (!(obj instanceof org.nd4j.ir.TensorNamespace.ValueInfoProto)) {
return super.equals(obj);
}
org.nd4j.ir.TensorNamespace.ValueInfoProto other = (org.nd4j.ir.TensorNamespace.ValueInfoProto) obj;
if (!getName()
.equals(other.getName())) return false;
if (hasType() != other.hasType()) return false;
if (hasType()) {
if (!getType()
.equals(other.getType())) return false;
}
if (!getDocString()
.equals(other.getDocString())) return false;
if (!unknownFields.equals(other.unknownFields)) return false;
return true;
}
@java.lang.Override
public int hashCode() {
if (memoizedHashCode != 0) {
return memoizedHashCode;
}
int hash = 41;
hash = (19 * hash) + getDescriptor().hashCode();
hash = (37 * hash) + NAME_FIELD_NUMBER;
hash = (53 * hash) + getName().hashCode();
if (hasType()) {
hash = (37 * hash) + TYPE_FIELD_NUMBER;
hash = (53 * hash) + getType().hashCode();
}
hash = (37 * hash) + DOC_STRING_FIELD_NUMBER;
hash = (53 * hash) + getDocString().hashCode();
hash = (29 * hash) + unknownFields.hashCode();
memoizedHashCode = hash;
return hash;
}
public static org.nd4j.ir.TensorNamespace.ValueInfoProto parseFrom(
java.nio.ByteBuffer data)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static org.nd4j.ir.TensorNamespace.ValueInfoProto parseFrom(
java.nio.ByteBuffer data,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static org.nd4j.ir.TensorNamespace.ValueInfoProto parseFrom(
org.nd4j.shade.protobuf.ByteString data)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static org.nd4j.ir.TensorNamespace.ValueInfoProto parseFrom(
org.nd4j.shade.protobuf.ByteString data,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static org.nd4j.ir.TensorNamespace.ValueInfoProto parseFrom(byte[] data)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static org.nd4j.ir.TensorNamespace.ValueInfoProto parseFrom(
byte[] data,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static org.nd4j.ir.TensorNamespace.ValueInfoProto parseFrom(java.io.InputStream input)
throws java.io.IOException {
return org.nd4j.shade.protobuf.GeneratedMessageV3
.parseWithIOException(PARSER, input);
}
public static org.nd4j.ir.TensorNamespace.ValueInfoProto parseFrom(
java.io.InputStream input,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return org.nd4j.shade.protobuf.GeneratedMessageV3
.parseWithIOException(PARSER, input, extensionRegistry);
}
public static org.nd4j.ir.TensorNamespace.ValueInfoProto parseDelimitedFrom(java.io.InputStream input)
throws java.io.IOException {
return org.nd4j.shade.protobuf.GeneratedMessageV3
.parseDelimitedWithIOException(PARSER, input);
}
public static org.nd4j.ir.TensorNamespace.ValueInfoProto parseDelimitedFrom(
java.io.InputStream input,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return org.nd4j.shade.protobuf.GeneratedMessageV3
.parseDelimitedWithIOException(PARSER, input, extensionRegistry);
}
public static org.nd4j.ir.TensorNamespace.ValueInfoProto parseFrom(
org.nd4j.shade.protobuf.CodedInputStream input)
throws java.io.IOException {
return org.nd4j.shade.protobuf.GeneratedMessageV3
.parseWithIOException(PARSER, input);
}
public static org.nd4j.ir.TensorNamespace.ValueInfoProto parseFrom(
org.nd4j.shade.protobuf.CodedInputStream input,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return org.nd4j.shade.protobuf.GeneratedMessageV3
.parseWithIOException(PARSER, input, extensionRegistry);
}
@java.lang.Override
public Builder newBuilderForType() { return newBuilder(); }
public static Builder newBuilder() {
return DEFAULT_INSTANCE.toBuilder();
}
public static Builder newBuilder(org.nd4j.ir.TensorNamespace.ValueInfoProto prototype) {
return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
}
@java.lang.Override
public Builder toBuilder() {
return this == DEFAULT_INSTANCE
? new Builder() : new Builder().mergeFrom(this);
}
@java.lang.Override
protected Builder newBuilderForType(
org.nd4j.shade.protobuf.GeneratedMessageV3.BuilderParent parent) {
Builder builder = new Builder(parent);
return builder;
}
/**
*
* Defines information on value, including the name, the type, and
* the shape of the value.
*
*
* Protobuf type {@code org.nd4j.ir.ValueInfoProto}
*/
public static final class Builder extends
org.nd4j.shade.protobuf.GeneratedMessageV3.Builder implements
// @@protoc_insertion_point(builder_implements:org.nd4j.ir.ValueInfoProto)
org.nd4j.ir.TensorNamespace.ValueInfoProtoOrBuilder {
public static final org.nd4j.shade.protobuf.Descriptors.Descriptor
getDescriptor() {
return org.nd4j.ir.TensorNamespace.internal_static_org_nd4j_ir_ValueInfoProto_descriptor;
}
@java.lang.Override
protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
internalGetFieldAccessorTable() {
return org.nd4j.ir.TensorNamespace.internal_static_org_nd4j_ir_ValueInfoProto_fieldAccessorTable
.ensureFieldAccessorsInitialized(
org.nd4j.ir.TensorNamespace.ValueInfoProto.class, org.nd4j.ir.TensorNamespace.ValueInfoProto.Builder.class);
}
// Construct using org.nd4j.ir.TensorNamespace.ValueInfoProto.newBuilder()
private Builder() {
maybeForceBuilderInitialization();
}
private Builder(
org.nd4j.shade.protobuf.GeneratedMessageV3.BuilderParent parent) {
super(parent);
maybeForceBuilderInitialization();
}
private void maybeForceBuilderInitialization() {
if (org.nd4j.shade.protobuf.GeneratedMessageV3
.alwaysUseFieldBuilders) {
}
}
@java.lang.Override
public Builder clear() {
super.clear();
name_ = "";
if (typeBuilder_ == null) {
type_ = null;
} else {
type_ = null;
typeBuilder_ = null;
}
docString_ = "";
return this;
}
@java.lang.Override
public org.nd4j.shade.protobuf.Descriptors.Descriptor
getDescriptorForType() {
return org.nd4j.ir.TensorNamespace.internal_static_org_nd4j_ir_ValueInfoProto_descriptor;
}
@java.lang.Override
public org.nd4j.ir.TensorNamespace.ValueInfoProto getDefaultInstanceForType() {
return org.nd4j.ir.TensorNamespace.ValueInfoProto.getDefaultInstance();
}
@java.lang.Override
public org.nd4j.ir.TensorNamespace.ValueInfoProto build() {
org.nd4j.ir.TensorNamespace.ValueInfoProto result = buildPartial();
if (!result.isInitialized()) {
throw newUninitializedMessageException(result);
}
return result;
}
@java.lang.Override
public org.nd4j.ir.TensorNamespace.ValueInfoProto buildPartial() {
org.nd4j.ir.TensorNamespace.ValueInfoProto result = new org.nd4j.ir.TensorNamespace.ValueInfoProto(this);
result.name_ = name_;
if (typeBuilder_ == null) {
result.type_ = type_;
} else {
result.type_ = typeBuilder_.build();
}
result.docString_ = docString_;
onBuilt();
return result;
}
@java.lang.Override
public Builder clone() {
return super.clone();
}
@java.lang.Override
public Builder setField(
org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
java.lang.Object value) {
return super.setField(field, value);
}
@java.lang.Override
public Builder clearField(
org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field) {
return super.clearField(field);
}
@java.lang.Override
public Builder clearOneof(
org.nd4j.shade.protobuf.Descriptors.OneofDescriptor oneof) {
return super.clearOneof(oneof);
}
@java.lang.Override
public Builder setRepeatedField(
org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
int index, java.lang.Object value) {
return super.setRepeatedField(field, index, value);
}
@java.lang.Override
public Builder addRepeatedField(
org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
java.lang.Object value) {
return super.addRepeatedField(field, value);
}
@java.lang.Override
public Builder mergeFrom(org.nd4j.shade.protobuf.Message other) {
if (other instanceof org.nd4j.ir.TensorNamespace.ValueInfoProto) {
return mergeFrom((org.nd4j.ir.TensorNamespace.ValueInfoProto)other);
} else {
super.mergeFrom(other);
return this;
}
}
public Builder mergeFrom(org.nd4j.ir.TensorNamespace.ValueInfoProto other) {
if (other == org.nd4j.ir.TensorNamespace.ValueInfoProto.getDefaultInstance()) return this;
if (!other.getName().isEmpty()) {
name_ = other.name_;
onChanged();
}
if (other.hasType()) {
mergeType(other.getType());
}
if (!other.getDocString().isEmpty()) {
docString_ = other.docString_;
onChanged();
}
this.mergeUnknownFields(other.unknownFields);
onChanged();
return this;
}
@java.lang.Override
public final boolean isInitialized() {
return true;
}
@java.lang.Override
public Builder mergeFrom(
org.nd4j.shade.protobuf.CodedInputStream input,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
org.nd4j.ir.TensorNamespace.ValueInfoProto parsedMessage = null;
try {
parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
} catch (org.nd4j.shade.protobuf.InvalidProtocolBufferException e) {
parsedMessage = (org.nd4j.ir.TensorNamespace.ValueInfoProto) e.getUnfinishedMessage();
throw e.unwrapIOException();
} finally {
if (parsedMessage != null) {
mergeFrom(parsedMessage);
}
}
return this;
}
private java.lang.Object name_ = "";
/**
*
* This field MUST be present in this version of the IR.
*
*
* string name = 1;
* @return The name.
*/
public java.lang.String getName() {
java.lang.Object ref = name_;
if (!(ref instanceof java.lang.String)) {
org.nd4j.shade.protobuf.ByteString bs =
(org.nd4j.shade.protobuf.ByteString) ref;
java.lang.String s = bs.toStringUtf8();
name_ = s;
return s;
} else {
return (java.lang.String) ref;
}
}
/**
*
* This field MUST be present in this version of the IR.
*
*
* string name = 1;
* @return The bytes for name.
*/
public org.nd4j.shade.protobuf.ByteString
getNameBytes() {
java.lang.Object ref = name_;
if (ref instanceof String) {
org.nd4j.shade.protobuf.ByteString b =
org.nd4j.shade.protobuf.ByteString.copyFromUtf8(
(java.lang.String) ref);
name_ = b;
return b;
} else {
return (org.nd4j.shade.protobuf.ByteString) ref;
}
}
/**
*
* This field MUST be present in this version of the IR.
*
*
* string name = 1;
* @param value The name to set.
* @return This builder for chaining.
*/
public Builder setName(
java.lang.String value) {
if (value == null) {
throw new NullPointerException();
}
name_ = value;
onChanged();
return this;
}
/**
*
* This field MUST be present in this version of the IR.
*
*
* string name = 1;
* @return This builder for chaining.
*/
public Builder clearName() {
name_ = getDefaultInstance().getName();
onChanged();
return this;
}
/**
*
* This field MUST be present in this version of the IR.
*
*
* string name = 1;
* @param value The bytes for name to set.
* @return This builder for chaining.
*/
public Builder setNameBytes(
org.nd4j.shade.protobuf.ByteString value) {
if (value == null) {
throw new NullPointerException();
}
checkByteStringIsUtf8(value);
name_ = value;
onChanged();
return this;
}
private org.nd4j.ir.TensorNamespace.TypeProto type_;
private org.nd4j.shade.protobuf.SingleFieldBuilderV3<
org.nd4j.ir.TensorNamespace.TypeProto, org.nd4j.ir.TensorNamespace.TypeProto.Builder, org.nd4j.ir.TensorNamespace.TypeProtoOrBuilder> typeBuilder_;
/**
*
* This field MUST be present in this version of the IR.
*
*
* .org.nd4j.ir.TypeProto type = 2;
* @return Whether the type field is set.
*/
public boolean hasType() {
return typeBuilder_ != null || type_ != null;
}
/**
*
* This field MUST be present in this version of the IR.
*
*
* .org.nd4j.ir.TypeProto type = 2;
* @return The type.
*/
public org.nd4j.ir.TensorNamespace.TypeProto getType() {
if (typeBuilder_ == null) {
return type_ == null ? org.nd4j.ir.TensorNamespace.TypeProto.getDefaultInstance() : type_;
} else {
return typeBuilder_.getMessage();
}
}
/**
*
* This field MUST be present in this version of the IR.
*
*
* .org.nd4j.ir.TypeProto type = 2;
*/
public Builder setType(org.nd4j.ir.TensorNamespace.TypeProto value) {
if (typeBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
type_ = value;
onChanged();
} else {
typeBuilder_.setMessage(value);
}
return this;
}
/**
*
* This field MUST be present in this version of the IR.
*
*
* .org.nd4j.ir.TypeProto type = 2;
*/
public Builder setType(
org.nd4j.ir.TensorNamespace.TypeProto.Builder builderForValue) {
if (typeBuilder_ == null) {
type_ = builderForValue.build();
onChanged();
} else {
typeBuilder_.setMessage(builderForValue.build());
}
return this;
}
/**
*
* This field MUST be present in this version of the IR.
*
*
* .org.nd4j.ir.TypeProto type = 2;
*/
public Builder mergeType(org.nd4j.ir.TensorNamespace.TypeProto value) {
if (typeBuilder_ == null) {
if (type_ != null) {
type_ =
org.nd4j.ir.TensorNamespace.TypeProto.newBuilder(type_).mergeFrom(value).buildPartial();
} else {
type_ = value;
}
onChanged();
} else {
typeBuilder_.mergeFrom(value);
}
return this;
}
/**
*
* This field MUST be present in this version of the IR.
*
*
* .org.nd4j.ir.TypeProto type = 2;
*/
public Builder clearType() {
if (typeBuilder_ == null) {
type_ = null;
onChanged();
} else {
type_ = null;
typeBuilder_ = null;
}
return this;
}
/**
*
* This field MUST be present in this version of the IR.
*
*
* .org.nd4j.ir.TypeProto type = 2;
*/
public org.nd4j.ir.TensorNamespace.TypeProto.Builder getTypeBuilder() {
onChanged();
return getTypeFieldBuilder().getBuilder();
}
/**
*
* This field MUST be present in this version of the IR.
*
*
* .org.nd4j.ir.TypeProto type = 2;
*/
public org.nd4j.ir.TensorNamespace.TypeProtoOrBuilder getTypeOrBuilder() {
if (typeBuilder_ != null) {
return typeBuilder_.getMessageOrBuilder();
} else {
return type_ == null ?
org.nd4j.ir.TensorNamespace.TypeProto.getDefaultInstance() : type_;
}
}
/**
*
* This field MUST be present in this version of the IR.
*
*
* .org.nd4j.ir.TypeProto type = 2;
*/
private org.nd4j.shade.protobuf.SingleFieldBuilderV3<
org.nd4j.ir.TensorNamespace.TypeProto, org.nd4j.ir.TensorNamespace.TypeProto.Builder, org.nd4j.ir.TensorNamespace.TypeProtoOrBuilder>
getTypeFieldBuilder() {
if (typeBuilder_ == null) {
typeBuilder_ = new org.nd4j.shade.protobuf.SingleFieldBuilderV3<
org.nd4j.ir.TensorNamespace.TypeProto, org.nd4j.ir.TensorNamespace.TypeProto.Builder, org.nd4j.ir.TensorNamespace.TypeProtoOrBuilder>(
getType(),
getParentForChildren(),
isClean());
type_ = null;
}
return typeBuilder_;
}
private java.lang.Object docString_ = "";
/**
*
* A human-readable documentation for this value. Markdown is allowed.
*
*
* string doc_string = 3;
* @return The docString.
*/
public java.lang.String getDocString() {
java.lang.Object ref = docString_;
if (!(ref instanceof java.lang.String)) {
org.nd4j.shade.protobuf.ByteString bs =
(org.nd4j.shade.protobuf.ByteString) ref;
java.lang.String s = bs.toStringUtf8();
docString_ = s;
return s;
} else {
return (java.lang.String) ref;
}
}
/**
*
* A human-readable documentation for this value. Markdown is allowed.
*
*
* string doc_string = 3;
* @return The bytes for docString.
*/
public org.nd4j.shade.protobuf.ByteString
getDocStringBytes() {
java.lang.Object ref = docString_;
if (ref instanceof String) {
org.nd4j.shade.protobuf.ByteString b =
org.nd4j.shade.protobuf.ByteString.copyFromUtf8(
(java.lang.String) ref);
docString_ = b;
return b;
} else {
return (org.nd4j.shade.protobuf.ByteString) ref;
}
}
/**
*
* A human-readable documentation for this value. Markdown is allowed.
*
*
* string doc_string = 3;
* @param value The docString to set.
* @return This builder for chaining.
*/
public Builder setDocString(
java.lang.String value) {
if (value == null) {
throw new NullPointerException();
}
docString_ = value;
onChanged();
return this;
}
/**
*
* A human-readable documentation for this value. Markdown is allowed.
*
*
* string doc_string = 3;
* @return This builder for chaining.
*/
public Builder clearDocString() {
docString_ = getDefaultInstance().getDocString();
onChanged();
return this;
}
/**
*
* A human-readable documentation for this value. Markdown is allowed.
*
*
* string doc_string = 3;
* @param value The bytes for docString to set.
* @return This builder for chaining.
*/
public Builder setDocStringBytes(
org.nd4j.shade.protobuf.ByteString value) {
if (value == null) {
throw new NullPointerException();
}
checkByteStringIsUtf8(value);
docString_ = value;
onChanged();
return this;
}
@java.lang.Override
public final Builder setUnknownFields(
final org.nd4j.shade.protobuf.UnknownFieldSet unknownFields) {
return super.setUnknownFields(unknownFields);
}
@java.lang.Override
public final Builder mergeUnknownFields(
final org.nd4j.shade.protobuf.UnknownFieldSet unknownFields) {
return super.mergeUnknownFields(unknownFields);
}
// @@protoc_insertion_point(builder_scope:org.nd4j.ir.ValueInfoProto)
}
// @@protoc_insertion_point(class_scope:org.nd4j.ir.ValueInfoProto)
private static final org.nd4j.ir.TensorNamespace.ValueInfoProto DEFAULT_INSTANCE;
static {
DEFAULT_INSTANCE = new org.nd4j.ir.TensorNamespace.ValueInfoProto();
}
public static org.nd4j.ir.TensorNamespace.ValueInfoProto getDefaultInstance() {
return DEFAULT_INSTANCE;
}
private static final org.nd4j.shade.protobuf.Parser
PARSER = new org.nd4j.shade.protobuf.AbstractParser() {
@java.lang.Override
public ValueInfoProto parsePartialFrom(
org.nd4j.shade.protobuf.CodedInputStream input,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
return new ValueInfoProto(input, extensionRegistry);
}
};
public static org.nd4j.shade.protobuf.Parser parser() {
return PARSER;
}
@java.lang.Override
public org.nd4j.shade.protobuf.Parser getParserForType() {
return PARSER;
}
@java.lang.Override
public org.nd4j.ir.TensorNamespace.ValueInfoProto getDefaultInstanceForType() {
return DEFAULT_INSTANCE;
}
}
public interface TensorProtoOrBuilder extends
// @@protoc_insertion_point(interface_extends:org.nd4j.ir.TensorProto)
org.nd4j.shade.protobuf.MessageOrBuilder {
/**
*
* The shape of the tensor.
*
*
* repeated int64 dims = 1;
* @return A list containing the dims.
*/
java.util.List getDimsList();
/**
*
* The shape of the tensor.
*
*
* repeated int64 dims = 1;
* @return The count of dims.
*/
int getDimsCount();
/**
*
* The shape of the tensor.
*
*
* repeated int64 dims = 1;
* @param index The index of the element to return.
* @return The dims at the given index.
*/
long getDims(int index);
/**
*
* The data type of the tensor.
* This field MUST have a valid TensorProto.DataType value
*
*
* int32 data_type = 2;
* @return The dataType.
*/
int getDataType();
/**
* .org.nd4j.ir.TensorProto.Segment segment = 3;
* @return Whether the segment field is set.
*/
boolean hasSegment();
/**
* .org.nd4j.ir.TensorProto.Segment segment = 3;
* @return The segment.
*/
org.nd4j.ir.TensorNamespace.TensorProto.Segment getSegment();
/**
* .org.nd4j.ir.TensorProto.Segment segment = 3;
*/
org.nd4j.ir.TensorNamespace.TensorProto.SegmentOrBuilder getSegmentOrBuilder();
/**
*
* For float and complex64 values
* Complex64 tensors are encoded as a single array of floats,
* with the real components appearing in odd numbered positions,
* and the corresponding imaginary component appearing in the
* subsequent even numbered position. (e.g., [1.0 + 2.0i, 3.0 + 4.0i]
* is encoded as [1.0, 2.0 ,3.0 ,4.0]
* When this field is present, the data_type field MUST be FLOAT or COMPLEX64.
*
*
* repeated float float_data = 4 [packed = true];
* @return A list containing the floatData.
*/
java.util.List getFloatDataList();
/**
*
* For float and complex64 values
* Complex64 tensors are encoded as a single array of floats,
* with the real components appearing in odd numbered positions,
* and the corresponding imaginary component appearing in the
* subsequent even numbered position. (e.g., [1.0 + 2.0i, 3.0 + 4.0i]
* is encoded as [1.0, 2.0 ,3.0 ,4.0]
* When this field is present, the data_type field MUST be FLOAT or COMPLEX64.
*
*
* repeated float float_data = 4 [packed = true];
* @return The count of floatData.
*/
int getFloatDataCount();
/**
*
* For float and complex64 values
* Complex64 tensors are encoded as a single array of floats,
* with the real components appearing in odd numbered positions,
* and the corresponding imaginary component appearing in the
* subsequent even numbered position. (e.g., [1.0 + 2.0i, 3.0 + 4.0i]
* is encoded as [1.0, 2.0 ,3.0 ,4.0]
* When this field is present, the data_type field MUST be FLOAT or COMPLEX64.
*
*
* repeated float float_data = 4 [packed = true];
* @param index The index of the element to return.
* @return The floatData at the given index.
*/
float getFloatData(int index);
/**
*
* For int32, uint8, int8, uint16, int16, bool, and float16 values
* float16 values must be bit-wise converted to an uint16_t prior
* to writing to the buffer.
* When this field is present, the data_type field MUST be
* INT32, INT16, INT8, UINT16, UINT8, BOOL, or FLOAT16
*
*
* repeated int32 int32_data = 5 [packed = true];
* @return A list containing the int32Data.
*/
java.util.List getInt32DataList();
/**
*
* For int32, uint8, int8, uint16, int16, bool, and float16 values
* float16 values must be bit-wise converted to an uint16_t prior
* to writing to the buffer.
* When this field is present, the data_type field MUST be
* INT32, INT16, INT8, UINT16, UINT8, BOOL, or FLOAT16
*
*
* repeated int32 int32_data = 5 [packed = true];
* @return The count of int32Data.
*/
int getInt32DataCount();
/**
*
* For int32, uint8, int8, uint16, int16, bool, and float16 values
* float16 values must be bit-wise converted to an uint16_t prior
* to writing to the buffer.
* When this field is present, the data_type field MUST be
* INT32, INT16, INT8, UINT16, UINT8, BOOL, or FLOAT16
*
*
* repeated int32 int32_data = 5 [packed = true];
* @param index The index of the element to return.
* @return The int32Data at the given index.
*/
int getInt32Data(int index);
/**
*
* For strings.
* Each element of string_data is a UTF-8 encoded Unicode
* string. No trailing null, no leading BOM. The protobuf "string"
* scalar type is not used to match ML community conventions.
* When this field is present, the data_type field MUST be STRING
*
*
* repeated bytes string_data = 6;
* @return A list containing the stringData.
*/
java.util.List getStringDataList();
/**
*
* For strings.
* Each element of string_data is a UTF-8 encoded Unicode
* string. No trailing null, no leading BOM. The protobuf "string"
* scalar type is not used to match ML community conventions.
* When this field is present, the data_type field MUST be STRING
*
*
* repeated bytes string_data = 6;
* @return The count of stringData.
*/
int getStringDataCount();
/**
*
* For strings.
* Each element of string_data is a UTF-8 encoded Unicode
* string. No trailing null, no leading BOM. The protobuf "string"
* scalar type is not used to match ML community conventions.
* When this field is present, the data_type field MUST be STRING
*
*
* repeated bytes string_data = 6;
* @param index The index of the element to return.
* @return The stringData at the given index.
*/
org.nd4j.shade.protobuf.ByteString getStringData(int index);
/**
*
* For int64.
* When this field is present, the data_type field MUST be INT64
*
*
* repeated int64 int64_data = 7 [packed = true];
* @return A list containing the int64Data.
*/
java.util.List getInt64DataList();
/**
*
* For int64.
* When this field is present, the data_type field MUST be INT64
*
*
* repeated int64 int64_data = 7 [packed = true];
* @return The count of int64Data.
*/
int getInt64DataCount();
/**
*
* For int64.
* When this field is present, the data_type field MUST be INT64
*
*
* repeated int64 int64_data = 7 [packed = true];
* @param index The index of the element to return.
* @return The int64Data at the given index.
*/
long getInt64Data(int index);
/**
*
* Optionally, a name for the tensor.
*
*
* string name = 8;
* @return The name.
*/
java.lang.String getName();
/**
*
* Optionally, a name for the tensor.
*
*
* string name = 8;
* @return The bytes for name.
*/
org.nd4j.shade.protobuf.ByteString
getNameBytes();
/**
*
* A human-readable documentation for this tensor. Markdown is allowed.
*
*
* string doc_string = 12;
* @return The docString.
*/
java.lang.String getDocString();
/**
*
* A human-readable documentation for this tensor. Markdown is allowed.
*
*
* string doc_string = 12;
* @return The bytes for docString.
*/
org.nd4j.shade.protobuf.ByteString
getDocStringBytes();
/**
*
* Serializations can either use one of the fields above, or use this
* raw bytes field. The only exception is the string case, where one is
* required to store the content in the repeated bytes string_data field.
* When this raw_data field is used to store tensor value, elements MUST
* be stored in as fixed-width, little-endian order.
* Floating-point data types MUST be stored in IEEE 754 format.
* Complex64 elements must be written as two consecutive FLOAT values, real component first.
* Complex128 elements must be written as two consecutive DOUBLE values, real component first.
* Boolean type MUST be written one byte per tensor element (00000001 for true, 00000000 for false).
* Note: the advantage of specific field rather than the raw_data field is
* that in some cases (e.g. int data), protobuf does a better packing via
* variable length storage, and may lead to smaller binary footprint.
* When this field is present, the data_type field MUST NOT be STRING or UNDEFINED
*
*
* bytes raw_data = 9;
* @return The rawData.
*/
org.nd4j.shade.protobuf.ByteString getRawData();
/**
*
* Data can be stored inside the protobuf file using type-specific fields or raw_data.
* Alternatively, raw bytes data can be stored in an external file, using the external_data field.
* external_data stores key-value pairs describing data location. Recognized keys are:
* - "location" (required) - POSIX filesystem path relative to the directory where the ONNX
* protobuf model was stored
* - "offset" (optional) - position of byte at which stored data begins. Integer stored as string.
* Offset values SHOULD be multiples 4096 (page size) to enable mmap support.
* - "length" (optional) - number of bytes containing data. Integer stored as string.
* - "checksum" (optional) - SHA1 digest of file specified in under 'location' key.
*
*
* repeated .org.nd4j.ir.StringStringEntryProto external_data = 13;
*/
java.util.List
getExternalDataList();
/**
*
* Data can be stored inside the protobuf file using type-specific fields or raw_data.
* Alternatively, raw bytes data can be stored in an external file, using the external_data field.
* external_data stores key-value pairs describing data location. Recognized keys are:
* - "location" (required) - POSIX filesystem path relative to the directory where the ONNX
* protobuf model was stored
* - "offset" (optional) - position of byte at which stored data begins. Integer stored as string.
* Offset values SHOULD be multiples 4096 (page size) to enable mmap support.
* - "length" (optional) - number of bytes containing data. Integer stored as string.
* - "checksum" (optional) - SHA1 digest of file specified in under 'location' key.
*
*
* repeated .org.nd4j.ir.StringStringEntryProto external_data = 13;
*/
org.nd4j.ir.TensorNamespace.StringStringEntryProto getExternalData(int index);
/**
*
* Data can be stored inside the protobuf file using type-specific fields or raw_data.
* Alternatively, raw bytes data can be stored in an external file, using the external_data field.
* external_data stores key-value pairs describing data location. Recognized keys are:
* - "location" (required) - POSIX filesystem path relative to the directory where the ONNX
* protobuf model was stored
* - "offset" (optional) - position of byte at which stored data begins. Integer stored as string.
* Offset values SHOULD be multiples 4096 (page size) to enable mmap support.
* - "length" (optional) - number of bytes containing data. Integer stored as string.
* - "checksum" (optional) - SHA1 digest of file specified in under 'location' key.
*
*
* repeated .org.nd4j.ir.StringStringEntryProto external_data = 13;
*/
int getExternalDataCount();
/**
*
* Data can be stored inside the protobuf file using type-specific fields or raw_data.
* Alternatively, raw bytes data can be stored in an external file, using the external_data field.
* external_data stores key-value pairs describing data location. Recognized keys are:
* - "location" (required) - POSIX filesystem path relative to the directory where the ONNX
* protobuf model was stored
* - "offset" (optional) - position of byte at which stored data begins. Integer stored as string.
* Offset values SHOULD be multiples 4096 (page size) to enable mmap support.
* - "length" (optional) - number of bytes containing data. Integer stored as string.
* - "checksum" (optional) - SHA1 digest of file specified in under 'location' key.
*
*
* repeated .org.nd4j.ir.StringStringEntryProto external_data = 13;
*/
java.util.List
getExternalDataOrBuilderList();
/**
*
* Data can be stored inside the protobuf file using type-specific fields or raw_data.
* Alternatively, raw bytes data can be stored in an external file, using the external_data field.
* external_data stores key-value pairs describing data location. Recognized keys are:
* - "location" (required) - POSIX filesystem path relative to the directory where the ONNX
* protobuf model was stored
* - "offset" (optional) - position of byte at which stored data begins. Integer stored as string.
* Offset values SHOULD be multiples 4096 (page size) to enable mmap support.
* - "length" (optional) - number of bytes containing data. Integer stored as string.
* - "checksum" (optional) - SHA1 digest of file specified in under 'location' key.
*
*
* repeated .org.nd4j.ir.StringStringEntryProto external_data = 13;
*/
org.nd4j.ir.TensorNamespace.StringStringEntryProtoOrBuilder getExternalDataOrBuilder(
int index);
/**
*
* If value not set, data is stored in raw_data (if set) otherwise in type-specified field.
*
*
* .org.nd4j.ir.TensorProto.DataLocation data_location = 14;
* @return The enum numeric value on the wire for dataLocation.
*/
int getDataLocationValue();
/**
*
* If value not set, data is stored in raw_data (if set) otherwise in type-specified field.
*
*
* .org.nd4j.ir.TensorProto.DataLocation data_location = 14;
* @return The dataLocation.
*/
org.nd4j.ir.TensorNamespace.TensorProto.DataLocation getDataLocation();
/**
*
* For double
* Complex128 tensors are encoded as a single array of doubles,
* with the real components appearing in odd numbered positions,
* and the corresponding imaginary component appearing in the
* subsequent even numbered position. (e.g., [1.0 + 2.0i, 3.0 + 4.0i]
* is encoded as [1.0, 2.0 ,3.0 ,4.0]
* When this field is present, the data_type field MUST be DOUBLE or COMPLEX128
*
*
* repeated double double_data = 10 [packed = true];
* @return A list containing the doubleData.
*/
java.util.List getDoubleDataList();
/**
*
* For double
* Complex128 tensors are encoded as a single array of doubles,
* with the real components appearing in odd numbered positions,
* and the corresponding imaginary component appearing in the
* subsequent even numbered position. (e.g., [1.0 + 2.0i, 3.0 + 4.0i]
* is encoded as [1.0, 2.0 ,3.0 ,4.0]
* When this field is present, the data_type field MUST be DOUBLE or COMPLEX128
*
*
* repeated double double_data = 10 [packed = true];
* @return The count of doubleData.
*/
int getDoubleDataCount();
/**
*
* For double
* Complex128 tensors are encoded as a single array of doubles,
* with the real components appearing in odd numbered positions,
* and the corresponding imaginary component appearing in the
* subsequent even numbered position. (e.g., [1.0 + 2.0i, 3.0 + 4.0i]
* is encoded as [1.0, 2.0 ,3.0 ,4.0]
* When this field is present, the data_type field MUST be DOUBLE or COMPLEX128
*
*
* repeated double double_data = 10 [packed = true];
* @param index The index of the element to return.
* @return The doubleData at the given index.
*/
double getDoubleData(int index);
/**
*
* For uint64 and uint32 values
* When this field is present, the data_type field MUST be
* UINT32 or UINT64
*
*
* repeated uint64 uint64_data = 11 [packed = true];
* @return A list containing the uint64Data.
*/
java.util.List getUint64DataList();
/**
*
* For uint64 and uint32 values
* When this field is present, the data_type field MUST be
* UINT32 or UINT64
*
*
* repeated uint64 uint64_data = 11 [packed = true];
* @return The count of uint64Data.
*/
int getUint64DataCount();
/**
*
* For uint64 and uint32 values
* When this field is present, the data_type field MUST be
* UINT32 or UINT64
*
*
* repeated uint64 uint64_data = 11 [packed = true];
* @param index The index of the element to return.
* @return The uint64Data at the given index.
*/
long getUint64Data(int index);
/**
*
* For half values (tensorflow compatibility)
*
*
* repeated int32 half_val = 15 [packed = true];
* @return A list containing the halfVal.
*/
java.util.List getHalfValList();
/**
*
* For half values (tensorflow compatibility)
*
*
* repeated int32 half_val = 15 [packed = true];
* @return The count of halfVal.
*/
int getHalfValCount();
/**
*
* For half values (tensorflow compatibility)
*
*
* repeated int32 half_val = 15 [packed = true];
* @param index The index of the element to return.
* @return The halfVal at the given index.
*/
int getHalfVal(int index);
/**
*
*boolean values
*
*
* repeated bool bool_val = 16 [packed = true];
* @return A list containing the boolVal.
*/
java.util.List getBoolValList();
/**
*
*boolean values
*
*
* repeated bool bool_val = 16 [packed = true];
* @return The count of boolVal.
*/
int getBoolValCount();
/**
*
*boolean values
*
*
* repeated bool bool_val = 16 [packed = true];
* @param index The index of the element to return.
* @return The boolVal at the given index.
*/
boolean getBoolVal(int index);
}
/**
*
* Tensors
* A serialized tensor value.
*
*
* Protobuf type {@code org.nd4j.ir.TensorProto}
*/
public static final class TensorProto extends
org.nd4j.shade.protobuf.GeneratedMessageV3 implements
// @@protoc_insertion_point(message_implements:org.nd4j.ir.TensorProto)
TensorProtoOrBuilder {
private static final long serialVersionUID = 0L;
// Use TensorProto.newBuilder() to construct.
private TensorProto(org.nd4j.shade.protobuf.GeneratedMessageV3.Builder builder) {
super(builder);
}
private TensorProto() {
dims_ = emptyLongList();
floatData_ = emptyFloatList();
int32Data_ = emptyIntList();
stringData_ = java.util.Collections.emptyList();
int64Data_ = emptyLongList();
name_ = "";
docString_ = "";
rawData_ = org.nd4j.shade.protobuf.ByteString.EMPTY;
externalData_ = java.util.Collections.emptyList();
dataLocation_ = 0;
doubleData_ = emptyDoubleList();
uint64Data_ = emptyLongList();
halfVal_ = emptyIntList();
boolVal_ = emptyBooleanList();
}
@java.lang.Override
@SuppressWarnings({"unused"})
protected java.lang.Object newInstance(
UnusedPrivateParameter unused) {
return new TensorProto();
}
@java.lang.Override
public final org.nd4j.shade.protobuf.UnknownFieldSet
getUnknownFields() {
return this.unknownFields;
}
private TensorProto(
org.nd4j.shade.protobuf.CodedInputStream input,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
this();
if (extensionRegistry == null) {
throw new java.lang.NullPointerException();
}
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java.lang.String s = input.readStringRequireUtf8();
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int length = input.readRawVarint32();
int limit = input.pushLimit(length);
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input.popLimit(limit);
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if (((mutable_bitField0_ & 0x00000002) != 0)) {
floatData_.makeImmutable(); // C
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if (((mutable_bitField0_ & 0x00000004) != 0)) {
int32Data_.makeImmutable(); // C
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if (((mutable_bitField0_ & 0x00000008) != 0)) {
stringData_ = java.util.Collections.unmodifiableList(stringData_); // C
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doubleData_.makeImmutable(); // C
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if (((mutable_bitField0_ & 0x00000080) != 0)) {
uint64Data_.makeImmutable(); // C
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if (((mutable_bitField0_ & 0x00000100) != 0)) {
halfVal_.makeImmutable(); // C
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if (((mutable_bitField0_ & 0x00000200) != 0)) {
boolVal_.makeImmutable(); // C
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public static final org.nd4j.shade.protobuf.Descriptors.Descriptor
getDescriptor() {
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/**
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DEFAULT(0),
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throw new java.lang.IllegalStateException(
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getDescriptor() {
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/**
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/**
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/**
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return org.nd4j.shade.protobuf.GeneratedMessageV3
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public static org.nd4j.ir.TensorNamespace.TensorProto.Segment parseFrom(
org.nd4j.shade.protobuf.CodedInputStream input,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
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public static Builder newBuilder() {
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public static Builder newBuilder(org.nd4j.ir.TensorNamespace.TensorProto.Segment prototype) {
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return this == DEFAULT_INSTANCE
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@java.lang.Override
protected Builder newBuilderForType(
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return builder;
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/**
*
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* case the following fields will specify the segment that is stored in
* the current TensorProto.
*
*
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org.nd4j.ir.TensorNamespace.TensorProto.SegmentOrBuilder {
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}
@java.lang.Override
public Builder setRepeatedField(
org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
int index, java.lang.Object value) {
return super.setRepeatedField(field, index, value);
}
@java.lang.Override
public Builder addRepeatedField(
org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
java.lang.Object value) {
return super.addRepeatedField(field, value);
}
@java.lang.Override
public Builder mergeFrom(org.nd4j.shade.protobuf.Message other) {
if (other instanceof org.nd4j.ir.TensorNamespace.TensorProto.Segment) {
return mergeFrom((org.nd4j.ir.TensorNamespace.TensorProto.Segment)other);
} else {
super.mergeFrom(other);
return this;
}
}
public Builder mergeFrom(org.nd4j.ir.TensorNamespace.TensorProto.Segment other) {
if (other == org.nd4j.ir.TensorNamespace.TensorProto.Segment.getDefaultInstance()) return this;
if (other.getBegin() != 0L) {
setBegin(other.getBegin());
}
if (other.getEnd() != 0L) {
setEnd(other.getEnd());
}
this.mergeUnknownFields(other.unknownFields);
onChanged();
return this;
}
@java.lang.Override
public final boolean isInitialized() {
return true;
}
@java.lang.Override
public Builder mergeFrom(
org.nd4j.shade.protobuf.CodedInputStream input,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
org.nd4j.ir.TensorNamespace.TensorProto.Segment parsedMessage = null;
try {
parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
} catch (org.nd4j.shade.protobuf.InvalidProtocolBufferException e) {
parsedMessage = (org.nd4j.ir.TensorNamespace.TensorProto.Segment) e.getUnfinishedMessage();
throw e.unwrapIOException();
} finally {
if (parsedMessage != null) {
mergeFrom(parsedMessage);
}
}
return this;
}
private long begin_ ;
/**
* int64 begin = 1;
* @return The begin.
*/
@java.lang.Override
public long getBegin() {
return begin_;
}
/**
* int64 begin = 1;
* @param value The begin to set.
* @return This builder for chaining.
*/
public Builder setBegin(long value) {
begin_ = value;
onChanged();
return this;
}
/**
* int64 begin = 1;
* @return This builder for chaining.
*/
public Builder clearBegin() {
begin_ = 0L;
onChanged();
return this;
}
private long end_ ;
/**
* int64 end = 2;
* @return The end.
*/
@java.lang.Override
public long getEnd() {
return end_;
}
/**
* int64 end = 2;
* @param value The end to set.
* @return This builder for chaining.
*/
public Builder setEnd(long value) {
end_ = value;
onChanged();
return this;
}
/**
* int64 end = 2;
* @return This builder for chaining.
*/
public Builder clearEnd() {
end_ = 0L;
onChanged();
return this;
}
@java.lang.Override
public final Builder setUnknownFields(
final org.nd4j.shade.protobuf.UnknownFieldSet unknownFields) {
return super.setUnknownFields(unknownFields);
}
@java.lang.Override
public final Builder mergeUnknownFields(
final org.nd4j.shade.protobuf.UnknownFieldSet unknownFields) {
return super.mergeUnknownFields(unknownFields);
}
// @@protoc_insertion_point(builder_scope:org.nd4j.ir.TensorProto.Segment)
}
// @@protoc_insertion_point(class_scope:org.nd4j.ir.TensorProto.Segment)
private static final org.nd4j.ir.TensorNamespace.TensorProto.Segment DEFAULT_INSTANCE;
static {
DEFAULT_INSTANCE = new org.nd4j.ir.TensorNamespace.TensorProto.Segment();
}
public static org.nd4j.ir.TensorNamespace.TensorProto.Segment getDefaultInstance() {
return DEFAULT_INSTANCE;
}
private static final org.nd4j.shade.protobuf.Parser
PARSER = new org.nd4j.shade.protobuf.AbstractParser() {
@java.lang.Override
public Segment parsePartialFrom(
org.nd4j.shade.protobuf.CodedInputStream input,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
return new Segment(input, extensionRegistry);
}
};
public static org.nd4j.shade.protobuf.Parser parser() {
return PARSER;
}
@java.lang.Override
public org.nd4j.shade.protobuf.Parser getParserForType() {
return PARSER;
}
@java.lang.Override
public org.nd4j.ir.TensorNamespace.TensorProto.Segment getDefaultInstanceForType() {
return DEFAULT_INSTANCE;
}
}
public static final int DIMS_FIELD_NUMBER = 1;
private org.nd4j.shade.protobuf.Internal.LongList dims_;
/**
*
* The shape of the tensor.
*
*
* repeated int64 dims = 1;
* @return A list containing the dims.
*/
@java.lang.Override
public java.util.List
getDimsList() {
return dims_;
}
/**
*
* The shape of the tensor.
*
*
* repeated int64 dims = 1;
* @return The count of dims.
*/
public int getDimsCount() {
return dims_.size();
}
/**
*
* The shape of the tensor.
*
*
* repeated int64 dims = 1;
* @param index The index of the element to return.
* @return The dims at the given index.
*/
public long getDims(int index) {
return dims_.getLong(index);
}
private int dimsMemoizedSerializedSize = -1;
public static final int DATA_TYPE_FIELD_NUMBER = 2;
private int dataType_;
/**
*
* The data type of the tensor.
* This field MUST have a valid TensorProto.DataType value
*
*
* int32 data_type = 2;
* @return The dataType.
*/
@java.lang.Override
public int getDataType() {
return dataType_;
}
public static final int SEGMENT_FIELD_NUMBER = 3;
private org.nd4j.ir.TensorNamespace.TensorProto.Segment segment_;
/**
* .org.nd4j.ir.TensorProto.Segment segment = 3;
* @return Whether the segment field is set.
*/
@java.lang.Override
public boolean hasSegment() {
return segment_ != null;
}
/**
* .org.nd4j.ir.TensorProto.Segment segment = 3;
* @return The segment.
*/
@java.lang.Override
public org.nd4j.ir.TensorNamespace.TensorProto.Segment getSegment() {
return segment_ == null ? org.nd4j.ir.TensorNamespace.TensorProto.Segment.getDefaultInstance() : segment_;
}
/**
* .org.nd4j.ir.TensorProto.Segment segment = 3;
*/
@java.lang.Override
public org.nd4j.ir.TensorNamespace.TensorProto.SegmentOrBuilder getSegmentOrBuilder() {
return getSegment();
}
public static final int FLOAT_DATA_FIELD_NUMBER = 4;
private org.nd4j.shade.protobuf.Internal.FloatList floatData_;
/**
*
* For float and complex64 values
* Complex64 tensors are encoded as a single array of floats,
* with the real components appearing in odd numbered positions,
* and the corresponding imaginary component appearing in the
* subsequent even numbered position. (e.g., [1.0 + 2.0i, 3.0 + 4.0i]
* is encoded as [1.0, 2.0 ,3.0 ,4.0]
* When this field is present, the data_type field MUST be FLOAT or COMPLEX64.
*
*
* repeated float float_data = 4 [packed = true];
* @return A list containing the floatData.
*/
@java.lang.Override
public java.util.List
getFloatDataList() {
return floatData_;
}
/**
*
* For float and complex64 values
* Complex64 tensors are encoded as a single array of floats,
* with the real components appearing in odd numbered positions,
* and the corresponding imaginary component appearing in the
* subsequent even numbered position. (e.g., [1.0 + 2.0i, 3.0 + 4.0i]
* is encoded as [1.0, 2.0 ,3.0 ,4.0]
* When this field is present, the data_type field MUST be FLOAT or COMPLEX64.
*
*
* repeated float float_data = 4 [packed = true];
* @return The count of floatData.
*/
public int getFloatDataCount() {
return floatData_.size();
}
/**
*
* For float and complex64 values
* Complex64 tensors are encoded as a single array of floats,
* with the real components appearing in odd numbered positions,
* and the corresponding imaginary component appearing in the
* subsequent even numbered position. (e.g., [1.0 + 2.0i, 3.0 + 4.0i]
* is encoded as [1.0, 2.0 ,3.0 ,4.0]
* When this field is present, the data_type field MUST be FLOAT or COMPLEX64.
*
*
* repeated float float_data = 4 [packed = true];
* @param index The index of the element to return.
* @return The floatData at the given index.
*/
public float getFloatData(int index) {
return floatData_.getFloat(index);
}
private int floatDataMemoizedSerializedSize = -1;
public static final int INT32_DATA_FIELD_NUMBER = 5;
private org.nd4j.shade.protobuf.Internal.IntList int32Data_;
/**
*
* For int32, uint8, int8, uint16, int16, bool, and float16 values
* float16 values must be bit-wise converted to an uint16_t prior
* to writing to the buffer.
* When this field is present, the data_type field MUST be
* INT32, INT16, INT8, UINT16, UINT8, BOOL, or FLOAT16
*
*
* repeated int32 int32_data = 5 [packed = true];
* @return A list containing the int32Data.
*/
@java.lang.Override
public java.util.List
getInt32DataList() {
return int32Data_;
}
/**
*
* For int32, uint8, int8, uint16, int16, bool, and float16 values
* float16 values must be bit-wise converted to an uint16_t prior
* to writing to the buffer.
* When this field is present, the data_type field MUST be
* INT32, INT16, INT8, UINT16, UINT8, BOOL, or FLOAT16
*
*
* repeated int32 int32_data = 5 [packed = true];
* @return The count of int32Data.
*/
public int getInt32DataCount() {
return int32Data_.size();
}
/**
*
* For int32, uint8, int8, uint16, int16, bool, and float16 values
* float16 values must be bit-wise converted to an uint16_t prior
* to writing to the buffer.
* When this field is present, the data_type field MUST be
* INT32, INT16, INT8, UINT16, UINT8, BOOL, or FLOAT16
*
*
* repeated int32 int32_data = 5 [packed = true];
* @param index The index of the element to return.
* @return The int32Data at the given index.
*/
public int getInt32Data(int index) {
return int32Data_.getInt(index);
}
private int int32DataMemoizedSerializedSize = -1;
public static final int STRING_DATA_FIELD_NUMBER = 6;
private java.util.List stringData_;
/**
*
* For strings.
* Each element of string_data is a UTF-8 encoded Unicode
* string. No trailing null, no leading BOM. The protobuf "string"
* scalar type is not used to match ML community conventions.
* When this field is present, the data_type field MUST be STRING
*
*
* repeated bytes string_data = 6;
* @return A list containing the stringData.
*/
@java.lang.Override
public java.util.List
getStringDataList() {
return stringData_;
}
/**
*
* For strings.
* Each element of string_data is a UTF-8 encoded Unicode
* string. No trailing null, no leading BOM. The protobuf "string"
* scalar type is not used to match ML community conventions.
* When this field is present, the data_type field MUST be STRING
*
*
* repeated bytes string_data = 6;
* @return The count of stringData.
*/
public int getStringDataCount() {
return stringData_.size();
}
/**
*
* For strings.
* Each element of string_data is a UTF-8 encoded Unicode
* string. No trailing null, no leading BOM. The protobuf "string"
* scalar type is not used to match ML community conventions.
* When this field is present, the data_type field MUST be STRING
*
*
* repeated bytes string_data = 6;
* @param index The index of the element to return.
* @return The stringData at the given index.
*/
public org.nd4j.shade.protobuf.ByteString getStringData(int index) {
return stringData_.get(index);
}
public static final int INT64_DATA_FIELD_NUMBER = 7;
private org.nd4j.shade.protobuf.Internal.LongList int64Data_;
/**
*
* For int64.
* When this field is present, the data_type field MUST be INT64
*
*
* repeated int64 int64_data = 7 [packed = true];
* @return A list containing the int64Data.
*/
@java.lang.Override
public java.util.List
getInt64DataList() {
return int64Data_;
}
/**
*
* For int64.
* When this field is present, the data_type field MUST be INT64
*
*
* repeated int64 int64_data = 7 [packed = true];
* @return The count of int64Data.
*/
public int getInt64DataCount() {
return int64Data_.size();
}
/**
*
* For int64.
* When this field is present, the data_type field MUST be INT64
*
*
* repeated int64 int64_data = 7 [packed = true];
* @param index The index of the element to return.
* @return The int64Data at the given index.
*/
public long getInt64Data(int index) {
return int64Data_.getLong(index);
}
private int int64DataMemoizedSerializedSize = -1;
public static final int NAME_FIELD_NUMBER = 8;
private volatile java.lang.Object name_;
/**
*
* Optionally, a name for the tensor.
*
*
* string name = 8;
* @return The name.
*/
@java.lang.Override
public java.lang.String getName() {
java.lang.Object ref = name_;
if (ref instanceof java.lang.String) {
return (java.lang.String) ref;
} else {
org.nd4j.shade.protobuf.ByteString bs =
(org.nd4j.shade.protobuf.ByteString) ref;
java.lang.String s = bs.toStringUtf8();
name_ = s;
return s;
}
}
/**
*
* Optionally, a name for the tensor.
*
*
* string name = 8;
* @return The bytes for name.
*/
@java.lang.Override
public org.nd4j.shade.protobuf.ByteString
getNameBytes() {
java.lang.Object ref = name_;
if (ref instanceof java.lang.String) {
org.nd4j.shade.protobuf.ByteString b =
org.nd4j.shade.protobuf.ByteString.copyFromUtf8(
(java.lang.String) ref);
name_ = b;
return b;
} else {
return (org.nd4j.shade.protobuf.ByteString) ref;
}
}
public static final int DOC_STRING_FIELD_NUMBER = 12;
private volatile java.lang.Object docString_;
/**
*
* A human-readable documentation for this tensor. Markdown is allowed.
*
*
* string doc_string = 12;
* @return The docString.
*/
@java.lang.Override
public java.lang.String getDocString() {
java.lang.Object ref = docString_;
if (ref instanceof java.lang.String) {
return (java.lang.String) ref;
} else {
org.nd4j.shade.protobuf.ByteString bs =
(org.nd4j.shade.protobuf.ByteString) ref;
java.lang.String s = bs.toStringUtf8();
docString_ = s;
return s;
}
}
/**
*
* A human-readable documentation for this tensor. Markdown is allowed.
*
*
* string doc_string = 12;
* @return The bytes for docString.
*/
@java.lang.Override
public org.nd4j.shade.protobuf.ByteString
getDocStringBytes() {
java.lang.Object ref = docString_;
if (ref instanceof java.lang.String) {
org.nd4j.shade.protobuf.ByteString b =
org.nd4j.shade.protobuf.ByteString.copyFromUtf8(
(java.lang.String) ref);
docString_ = b;
return b;
} else {
return (org.nd4j.shade.protobuf.ByteString) ref;
}
}
public static final int RAW_DATA_FIELD_NUMBER = 9;
private org.nd4j.shade.protobuf.ByteString rawData_;
/**
*
* Serializations can either use one of the fields above, or use this
* raw bytes field. The only exception is the string case, where one is
* required to store the content in the repeated bytes string_data field.
* When this raw_data field is used to store tensor value, elements MUST
* be stored in as fixed-width, little-endian order.
* Floating-point data types MUST be stored in IEEE 754 format.
* Complex64 elements must be written as two consecutive FLOAT values, real component first.
* Complex128 elements must be written as two consecutive DOUBLE values, real component first.
* Boolean type MUST be written one byte per tensor element (00000001 for true, 00000000 for false).
* Note: the advantage of specific field rather than the raw_data field is
* that in some cases (e.g. int data), protobuf does a better packing via
* variable length storage, and may lead to smaller binary footprint.
* When this field is present, the data_type field MUST NOT be STRING or UNDEFINED
*
*
* bytes raw_data = 9;
* @return The rawData.
*/
@java.lang.Override
public org.nd4j.shade.protobuf.ByteString getRawData() {
return rawData_;
}
public static final int EXTERNAL_DATA_FIELD_NUMBER = 13;
private java.util.List externalData_;
/**
*
* Data can be stored inside the protobuf file using type-specific fields or raw_data.
* Alternatively, raw bytes data can be stored in an external file, using the external_data field.
* external_data stores key-value pairs describing data location. Recognized keys are:
* - "location" (required) - POSIX filesystem path relative to the directory where the ONNX
* protobuf model was stored
* - "offset" (optional) - position of byte at which stored data begins. Integer stored as string.
* Offset values SHOULD be multiples 4096 (page size) to enable mmap support.
* - "length" (optional) - number of bytes containing data. Integer stored as string.
* - "checksum" (optional) - SHA1 digest of file specified in under 'location' key.
*
*
* repeated .org.nd4j.ir.StringStringEntryProto external_data = 13;
*/
@java.lang.Override
public java.util.List getExternalDataList() {
return externalData_;
}
/**
*
* Data can be stored inside the protobuf file using type-specific fields or raw_data.
* Alternatively, raw bytes data can be stored in an external file, using the external_data field.
* external_data stores key-value pairs describing data location. Recognized keys are:
* - "location" (required) - POSIX filesystem path relative to the directory where the ONNX
* protobuf model was stored
* - "offset" (optional) - position of byte at which stored data begins. Integer stored as string.
* Offset values SHOULD be multiples 4096 (page size) to enable mmap support.
* - "length" (optional) - number of bytes containing data. Integer stored as string.
* - "checksum" (optional) - SHA1 digest of file specified in under 'location' key.
*
*
* repeated .org.nd4j.ir.StringStringEntryProto external_data = 13;
*/
@java.lang.Override
public java.util.List
getExternalDataOrBuilderList() {
return externalData_;
}
/**
*
* Data can be stored inside the protobuf file using type-specific fields or raw_data.
* Alternatively, raw bytes data can be stored in an external file, using the external_data field.
* external_data stores key-value pairs describing data location. Recognized keys are:
* - "location" (required) - POSIX filesystem path relative to the directory where the ONNX
* protobuf model was stored
* - "offset" (optional) - position of byte at which stored data begins. Integer stored as string.
* Offset values SHOULD be multiples 4096 (page size) to enable mmap support.
* - "length" (optional) - number of bytes containing data. Integer stored as string.
* - "checksum" (optional) - SHA1 digest of file specified in under 'location' key.
*
*
* repeated .org.nd4j.ir.StringStringEntryProto external_data = 13;
*/
@java.lang.Override
public int getExternalDataCount() {
return externalData_.size();
}
/**
*
* Data can be stored inside the protobuf file using type-specific fields or raw_data.
* Alternatively, raw bytes data can be stored in an external file, using the external_data field.
* external_data stores key-value pairs describing data location. Recognized keys are:
* - "location" (required) - POSIX filesystem path relative to the directory where the ONNX
* protobuf model was stored
* - "offset" (optional) - position of byte at which stored data begins. Integer stored as string.
* Offset values SHOULD be multiples 4096 (page size) to enable mmap support.
* - "length" (optional) - number of bytes containing data. Integer stored as string.
* - "checksum" (optional) - SHA1 digest of file specified in under 'location' key.
*
*
* repeated .org.nd4j.ir.StringStringEntryProto external_data = 13;
*/
@java.lang.Override
public org.nd4j.ir.TensorNamespace.StringStringEntryProto getExternalData(int index) {
return externalData_.get(index);
}
/**
*
* Data can be stored inside the protobuf file using type-specific fields or raw_data.
* Alternatively, raw bytes data can be stored in an external file, using the external_data field.
* external_data stores key-value pairs describing data location. Recognized keys are:
* - "location" (required) - POSIX filesystem path relative to the directory where the ONNX
* protobuf model was stored
* - "offset" (optional) - position of byte at which stored data begins. Integer stored as string.
* Offset values SHOULD be multiples 4096 (page size) to enable mmap support.
* - "length" (optional) - number of bytes containing data. Integer stored as string.
* - "checksum" (optional) - SHA1 digest of file specified in under 'location' key.
*
*
* repeated .org.nd4j.ir.StringStringEntryProto external_data = 13;
*/
@java.lang.Override
public org.nd4j.ir.TensorNamespace.StringStringEntryProtoOrBuilder getExternalDataOrBuilder(
int index) {
return externalData_.get(index);
}
public static final int DATA_LOCATION_FIELD_NUMBER = 14;
private int dataLocation_;
/**
*
* If value not set, data is stored in raw_data (if set) otherwise in type-specified field.
*
*
* .org.nd4j.ir.TensorProto.DataLocation data_location = 14;
* @return The enum numeric value on the wire for dataLocation.
*/
@java.lang.Override public int getDataLocationValue() {
return dataLocation_;
}
/**
*
* If value not set, data is stored in raw_data (if set) otherwise in type-specified field.
*
*
* .org.nd4j.ir.TensorProto.DataLocation data_location = 14;
* @return The dataLocation.
*/
@java.lang.Override public org.nd4j.ir.TensorNamespace.TensorProto.DataLocation getDataLocation() {
@SuppressWarnings("deprecation")
org.nd4j.ir.TensorNamespace.TensorProto.DataLocation result = org.nd4j.ir.TensorNamespace.TensorProto.DataLocation.valueOf(dataLocation_);
return result == null ? org.nd4j.ir.TensorNamespace.TensorProto.DataLocation.UNRECOGNIZED : result;
}
public static final int DOUBLE_DATA_FIELD_NUMBER = 10;
private org.nd4j.shade.protobuf.Internal.DoubleList doubleData_;
/**
*
* For double
* Complex128 tensors are encoded as a single array of doubles,
* with the real components appearing in odd numbered positions,
* and the corresponding imaginary component appearing in the
* subsequent even numbered position. (e.g., [1.0 + 2.0i, 3.0 + 4.0i]
* is encoded as [1.0, 2.0 ,3.0 ,4.0]
* When this field is present, the data_type field MUST be DOUBLE or COMPLEX128
*
*
* repeated double double_data = 10 [packed = true];
* @return A list containing the doubleData.
*/
@java.lang.Override
public java.util.List
getDoubleDataList() {
return doubleData_;
}
/**
*
* For double
* Complex128 tensors are encoded as a single array of doubles,
* with the real components appearing in odd numbered positions,
* and the corresponding imaginary component appearing in the
* subsequent even numbered position. (e.g., [1.0 + 2.0i, 3.0 + 4.0i]
* is encoded as [1.0, 2.0 ,3.0 ,4.0]
* When this field is present, the data_type field MUST be DOUBLE or COMPLEX128
*
*
* repeated double double_data = 10 [packed = true];
* @return The count of doubleData.
*/
public int getDoubleDataCount() {
return doubleData_.size();
}
/**
*
* For double
* Complex128 tensors are encoded as a single array of doubles,
* with the real components appearing in odd numbered positions,
* and the corresponding imaginary component appearing in the
* subsequent even numbered position. (e.g., [1.0 + 2.0i, 3.0 + 4.0i]
* is encoded as [1.0, 2.0 ,3.0 ,4.0]
* When this field is present, the data_type field MUST be DOUBLE or COMPLEX128
*
*
* repeated double double_data = 10 [packed = true];
* @param index The index of the element to return.
* @return The doubleData at the given index.
*/
public double getDoubleData(int index) {
return doubleData_.getDouble(index);
}
private int doubleDataMemoizedSerializedSize = -1;
public static final int UINT64_DATA_FIELD_NUMBER = 11;
private org.nd4j.shade.protobuf.Internal.LongList uint64Data_;
/**
*
* For uint64 and uint32 values
* When this field is present, the data_type field MUST be
* UINT32 or UINT64
*
*
* repeated uint64 uint64_data = 11 [packed = true];
* @return A list containing the uint64Data.
*/
@java.lang.Override
public java.util.List
getUint64DataList() {
return uint64Data_;
}
/**
*
* For uint64 and uint32 values
* When this field is present, the data_type field MUST be
* UINT32 or UINT64
*
*
* repeated uint64 uint64_data = 11 [packed = true];
* @return The count of uint64Data.
*/
public int getUint64DataCount() {
return uint64Data_.size();
}
/**
*
* For uint64 and uint32 values
* When this field is present, the data_type field MUST be
* UINT32 or UINT64
*
*
* repeated uint64 uint64_data = 11 [packed = true];
* @param index The index of the element to return.
* @return The uint64Data at the given index.
*/
public long getUint64Data(int index) {
return uint64Data_.getLong(index);
}
private int uint64DataMemoizedSerializedSize = -1;
public static final int HALF_VAL_FIELD_NUMBER = 15;
private org.nd4j.shade.protobuf.Internal.IntList halfVal_;
/**
*
* For half values (tensorflow compatibility)
*
*
* repeated int32 half_val = 15 [packed = true];
* @return A list containing the halfVal.
*/
@java.lang.Override
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@java.lang.Override
public boolean equals(final java.lang.Object obj) {
if (obj == this) {
return true;
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if (!(obj instanceof org.nd4j.ir.TensorNamespace.TensorProto)) {
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org.nd4j.ir.TensorNamespace.TensorProto other = (org.nd4j.ir.TensorNamespace.TensorProto) obj;
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if (getDataType()
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if (!getStringDataList()
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if (!getInt64DataList()
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if (!getName()
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if (!getDocString()
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if (!getRawData()
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if (!getExternalDataList()
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if (!getUint64DataList()
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if (!getHalfValList()
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if (!getBoolValList()
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if (!unknownFields.equals(other.unknownFields)) return false;
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@java.lang.Override
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if (memoizedHashCode != 0) {
return memoizedHashCode;
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int hash = 41;
hash = (19 * hash) + getDescriptor().hashCode();
if (getDimsCount() > 0) {
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hash = (53 * hash) + getDimsList().hashCode();
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hash = (37 * hash) + DATA_TYPE_FIELD_NUMBER;
hash = (53 * hash) + getDataType();
if (hasSegment()) {
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hash = (53 * hash) + getSegment().hashCode();
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hash = (53 * hash) + getFloatDataList().hashCode();
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hash = (37 * hash) + NAME_FIELD_NUMBER;
hash = (53 * hash) + getName().hashCode();
hash = (37 * hash) + DOC_STRING_FIELD_NUMBER;
hash = (53 * hash) + getDocString().hashCode();
hash = (37 * hash) + RAW_DATA_FIELD_NUMBER;
hash = (53 * hash) + getRawData().hashCode();
if (getExternalDataCount() > 0) {
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hash = (53 * hash) + getExternalDataList().hashCode();
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hash = (37 * hash) + DATA_LOCATION_FIELD_NUMBER;
hash = (53 * hash) + dataLocation_;
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hash = (29 * hash) + unknownFields.hashCode();
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public static org.nd4j.ir.TensorNamespace.TensorProto parseFrom(
java.nio.ByteBuffer data)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static org.nd4j.ir.TensorNamespace.TensorProto parseFrom(
java.nio.ByteBuffer data,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static org.nd4j.ir.TensorNamespace.TensorProto parseFrom(
org.nd4j.shade.protobuf.ByteString data)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static org.nd4j.ir.TensorNamespace.TensorProto parseFrom(
org.nd4j.shade.protobuf.ByteString data,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static org.nd4j.ir.TensorNamespace.TensorProto parseFrom(byte[] data)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static org.nd4j.ir.TensorNamespace.TensorProto parseFrom(
byte[] data,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
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public static org.nd4j.ir.TensorNamespace.TensorProto parseFrom(java.io.InputStream input)
throws java.io.IOException {
return org.nd4j.shade.protobuf.GeneratedMessageV3
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public static org.nd4j.ir.TensorNamespace.TensorProto parseFrom(
java.io.InputStream input,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return org.nd4j.shade.protobuf.GeneratedMessageV3
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}
public static org.nd4j.ir.TensorNamespace.TensorProto parseDelimitedFrom(java.io.InputStream input)
throws java.io.IOException {
return org.nd4j.shade.protobuf.GeneratedMessageV3
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}
public static org.nd4j.ir.TensorNamespace.TensorProto parseDelimitedFrom(
java.io.InputStream input,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return org.nd4j.shade.protobuf.GeneratedMessageV3
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public static org.nd4j.ir.TensorNamespace.TensorProto parseFrom(
org.nd4j.shade.protobuf.CodedInputStream input)
throws java.io.IOException {
return org.nd4j.shade.protobuf.GeneratedMessageV3
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}
public static org.nd4j.ir.TensorNamespace.TensorProto parseFrom(
org.nd4j.shade.protobuf.CodedInputStream input,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return org.nd4j.shade.protobuf.GeneratedMessageV3
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@java.lang.Override
public Builder newBuilderForType() { return newBuilder(); }
public static Builder newBuilder() {
return DEFAULT_INSTANCE.toBuilder();
}
public static Builder newBuilder(org.nd4j.ir.TensorNamespace.TensorProto prototype) {
return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
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@java.lang.Override
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return this == DEFAULT_INSTANCE
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@java.lang.Override
protected Builder newBuilderForType(
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Builder builder = new Builder(parent);
return builder;
}
/**
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public static final class Builder extends
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// @@protoc_insertion_point(builder_implements:org.nd4j.ir.TensorProto)
org.nd4j.ir.TensorNamespace.TensorProtoOrBuilder {
public static final org.nd4j.shade.protobuf.Descriptors.Descriptor
getDescriptor() {
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super(parent);
maybeForceBuilderInitialization();
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getExternalDataFieldBuilder();
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dims_ = emptyLongList();
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bitField0_ = (bitField0_ & ~0x00000100);
boolVal_ = emptyBooleanList();
bitField0_ = (bitField0_ & ~0x00000200);
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@java.lang.Override
public org.nd4j.shade.protobuf.Descriptors.Descriptor
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return org.nd4j.ir.TensorNamespace.internal_static_org_nd4j_ir_TensorProto_descriptor;
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public org.nd4j.ir.TensorNamespace.TensorProto getDefaultInstanceForType() {
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result.boolVal_ = boolVal_;
onBuilt();
return result;
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@java.lang.Override
public Builder clone() {
return super.clone();
}
@java.lang.Override
public Builder setField(
org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
java.lang.Object value) {
return super.setField(field, value);
}
@java.lang.Override
public Builder clearField(
org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field) {
return super.clearField(field);
}
@java.lang.Override
public Builder clearOneof(
org.nd4j.shade.protobuf.Descriptors.OneofDescriptor oneof) {
return super.clearOneof(oneof);
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@java.lang.Override
public Builder setRepeatedField(
org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
int index, java.lang.Object value) {
return super.setRepeatedField(field, index, value);
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@java.lang.Override
public Builder addRepeatedField(
org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
java.lang.Object value) {
return super.addRepeatedField(field, value);
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@java.lang.Override
public Builder mergeFrom(org.nd4j.shade.protobuf.Message other) {
if (other instanceof org.nd4j.ir.TensorNamespace.TensorProto) {
return mergeFrom((org.nd4j.ir.TensorNamespace.TensorProto)other);
} else {
super.mergeFrom(other);
return this;
}
}
public Builder mergeFrom(org.nd4j.ir.TensorNamespace.TensorProto other) {
if (other == org.nd4j.ir.TensorNamespace.TensorProto.getDefaultInstance()) return this;
if (!other.dims_.isEmpty()) {
if (dims_.isEmpty()) {
dims_ = other.dims_;
bitField0_ = (bitField0_ & ~0x00000001);
} else {
ensureDimsIsMutable();
dims_.addAll(other.dims_);
}
onChanged();
}
if (other.getDataType() != 0) {
setDataType(other.getDataType());
}
if (other.hasSegment()) {
mergeSegment(other.getSegment());
}
if (!other.floatData_.isEmpty()) {
if (floatData_.isEmpty()) {
floatData_ = other.floatData_;
bitField0_ = (bitField0_ & ~0x00000002);
} else {
ensureFloatDataIsMutable();
floatData_.addAll(other.floatData_);
}
onChanged();
}
if (!other.int32Data_.isEmpty()) {
if (int32Data_.isEmpty()) {
int32Data_ = other.int32Data_;
bitField0_ = (bitField0_ & ~0x00000004);
} else {
ensureInt32DataIsMutable();
int32Data_.addAll(other.int32Data_);
}
onChanged();
}
if (!other.stringData_.isEmpty()) {
if (stringData_.isEmpty()) {
stringData_ = other.stringData_;
bitField0_ = (bitField0_ & ~0x00000008);
} else {
ensureStringDataIsMutable();
stringData_.addAll(other.stringData_);
}
onChanged();
}
if (!other.int64Data_.isEmpty()) {
if (int64Data_.isEmpty()) {
int64Data_ = other.int64Data_;
bitField0_ = (bitField0_ & ~0x00000010);
} else {
ensureInt64DataIsMutable();
int64Data_.addAll(other.int64Data_);
}
onChanged();
}
if (!other.getName().isEmpty()) {
name_ = other.name_;
onChanged();
}
if (!other.getDocString().isEmpty()) {
docString_ = other.docString_;
onChanged();
}
if (other.getRawData() != org.nd4j.shade.protobuf.ByteString.EMPTY) {
setRawData(other.getRawData());
}
if (externalDataBuilder_ == null) {
if (!other.externalData_.isEmpty()) {
if (externalData_.isEmpty()) {
externalData_ = other.externalData_;
bitField0_ = (bitField0_ & ~0x00000020);
} else {
ensureExternalDataIsMutable();
externalData_.addAll(other.externalData_);
}
onChanged();
}
} else {
if (!other.externalData_.isEmpty()) {
if (externalDataBuilder_.isEmpty()) {
externalDataBuilder_.dispose();
externalDataBuilder_ = null;
externalData_ = other.externalData_;
bitField0_ = (bitField0_ & ~0x00000020);
externalDataBuilder_ =
org.nd4j.shade.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders ?
getExternalDataFieldBuilder() : null;
} else {
externalDataBuilder_.addAllMessages(other.externalData_);
}
}
}
if (other.dataLocation_ != 0) {
setDataLocationValue(other.getDataLocationValue());
}
if (!other.doubleData_.isEmpty()) {
if (doubleData_.isEmpty()) {
doubleData_ = other.doubleData_;
bitField0_ = (bitField0_ & ~0x00000040);
} else {
ensureDoubleDataIsMutable();
doubleData_.addAll(other.doubleData_);
}
onChanged();
}
if (!other.uint64Data_.isEmpty()) {
if (uint64Data_.isEmpty()) {
uint64Data_ = other.uint64Data_;
bitField0_ = (bitField0_ & ~0x00000080);
} else {
ensureUint64DataIsMutable();
uint64Data_.addAll(other.uint64Data_);
}
onChanged();
}
if (!other.halfVal_.isEmpty()) {
if (halfVal_.isEmpty()) {
halfVal_ = other.halfVal_;
bitField0_ = (bitField0_ & ~0x00000100);
} else {
ensureHalfValIsMutable();
halfVal_.addAll(other.halfVal_);
}
onChanged();
}
if (!other.boolVal_.isEmpty()) {
if (boolVal_.isEmpty()) {
boolVal_ = other.boolVal_;
bitField0_ = (bitField0_ & ~0x00000200);
} else {
ensureBoolValIsMutable();
boolVal_.addAll(other.boolVal_);
}
onChanged();
}
this.mergeUnknownFields(other.unknownFields);
onChanged();
return this;
}
@java.lang.Override
public final boolean isInitialized() {
return true;
}
@java.lang.Override
public Builder mergeFrom(
org.nd4j.shade.protobuf.CodedInputStream input,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
org.nd4j.ir.TensorNamespace.TensorProto parsedMessage = null;
try {
parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
} catch (org.nd4j.shade.protobuf.InvalidProtocolBufferException e) {
parsedMessage = (org.nd4j.ir.TensorNamespace.TensorProto) e.getUnfinishedMessage();
throw e.unwrapIOException();
} finally {
if (parsedMessage != null) {
mergeFrom(parsedMessage);
}
}
return this;
}
private int bitField0_;
private org.nd4j.shade.protobuf.Internal.LongList dims_ = emptyLongList();
private void ensureDimsIsMutable() {
if (!((bitField0_ & 0x00000001) != 0)) {
dims_ = mutableCopy(dims_);
bitField0_ |= 0x00000001;
}
}
/**
*
* The shape of the tensor.
*
*
* repeated int64 dims = 1;
* @return A list containing the dims.
*/
public java.util.List
getDimsList() {
return ((bitField0_ & 0x00000001) != 0) ?
java.util.Collections.unmodifiableList(dims_) : dims_;
}
/**
*
* The shape of the tensor.
*
*
* repeated int64 dims = 1;
* @return The count of dims.
*/
public int getDimsCount() {
return dims_.size();
}
/**
*
* The shape of the tensor.
*
*
* repeated int64 dims = 1;
* @param index The index of the element to return.
* @return The dims at the given index.
*/
public long getDims(int index) {
return dims_.getLong(index);
}
/**
*
* The shape of the tensor.
*
*
* repeated int64 dims = 1;
* @param index The index to set the value at.
* @param value The dims to set.
* @return This builder for chaining.
*/
public Builder setDims(
int index, long value) {
ensureDimsIsMutable();
dims_.setLong(index, value);
onChanged();
return this;
}
/**
*
* The shape of the tensor.
*
*
* repeated int64 dims = 1;
* @param value The dims to add.
* @return This builder for chaining.
*/
public Builder addDims(long value) {
ensureDimsIsMutable();
dims_.addLong(value);
onChanged();
return this;
}
/**
*
* The shape of the tensor.
*
*
* repeated int64 dims = 1;
* @param values The dims to add.
* @return This builder for chaining.
*/
public Builder addAllDims(
java.lang.Iterable values) {
ensureDimsIsMutable();
org.nd4j.shade.protobuf.AbstractMessageLite.Builder.addAll(
values, dims_);
onChanged();
return this;
}
/**
*
* The shape of the tensor.
*
*
* repeated int64 dims = 1;
* @return This builder for chaining.
*/
public Builder clearDims() {
dims_ = emptyLongList();
bitField0_ = (bitField0_ & ~0x00000001);
onChanged();
return this;
}
private int dataType_ ;
/**
*
* The data type of the tensor.
* This field MUST have a valid TensorProto.DataType value
*
*
* int32 data_type = 2;
* @return The dataType.
*/
@java.lang.Override
public int getDataType() {
return dataType_;
}
/**
*
* The data type of the tensor.
* This field MUST have a valid TensorProto.DataType value
*
*
* int32 data_type = 2;
* @param value The dataType to set.
* @return This builder for chaining.
*/
public Builder setDataType(int value) {
dataType_ = value;
onChanged();
return this;
}
/**
*
* The data type of the tensor.
* This field MUST have a valid TensorProto.DataType value
*
*
* int32 data_type = 2;
* @return This builder for chaining.
*/
public Builder clearDataType() {
dataType_ = 0;
onChanged();
return this;
}
private org.nd4j.ir.TensorNamespace.TensorProto.Segment segment_;
private org.nd4j.shade.protobuf.SingleFieldBuilderV3<
org.nd4j.ir.TensorNamespace.TensorProto.Segment, org.nd4j.ir.TensorNamespace.TensorProto.Segment.Builder, org.nd4j.ir.TensorNamespace.TensorProto.SegmentOrBuilder> segmentBuilder_;
/**
* .org.nd4j.ir.TensorProto.Segment segment = 3;
* @return Whether the segment field is set.
*/
public boolean hasSegment() {
return segmentBuilder_ != null || segment_ != null;
}
/**
* .org.nd4j.ir.TensorProto.Segment segment = 3;
* @return The segment.
*/
public org.nd4j.ir.TensorNamespace.TensorProto.Segment getSegment() {
if (segmentBuilder_ == null) {
return segment_ == null ? org.nd4j.ir.TensorNamespace.TensorProto.Segment.getDefaultInstance() : segment_;
} else {
return segmentBuilder_.getMessage();
}
}
/**
* .org.nd4j.ir.TensorProto.Segment segment = 3;
*/
public Builder setSegment(org.nd4j.ir.TensorNamespace.TensorProto.Segment value) {
if (segmentBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
segment_ = value;
onChanged();
} else {
segmentBuilder_.setMessage(value);
}
return this;
}
/**
* .org.nd4j.ir.TensorProto.Segment segment = 3;
*/
public Builder setSegment(
org.nd4j.ir.TensorNamespace.TensorProto.Segment.Builder builderForValue) {
if (segmentBuilder_ == null) {
segment_ = builderForValue.build();
onChanged();
} else {
segmentBuilder_.setMessage(builderForValue.build());
}
return this;
}
/**
* .org.nd4j.ir.TensorProto.Segment segment = 3;
*/
public Builder mergeSegment(org.nd4j.ir.TensorNamespace.TensorProto.Segment value) {
if (segmentBuilder_ == null) {
if (segment_ != null) {
segment_ =
org.nd4j.ir.TensorNamespace.TensorProto.Segment.newBuilder(segment_).mergeFrom(value).buildPartial();
} else {
segment_ = value;
}
onChanged();
} else {
segmentBuilder_.mergeFrom(value);
}
return this;
}
/**
* .org.nd4j.ir.TensorProto.Segment segment = 3;
*/
public Builder clearSegment() {
if (segmentBuilder_ == null) {
segment_ = null;
onChanged();
} else {
segment_ = null;
segmentBuilder_ = null;
}
return this;
}
/**
* .org.nd4j.ir.TensorProto.Segment segment = 3;
*/
public org.nd4j.ir.TensorNamespace.TensorProto.Segment.Builder getSegmentBuilder() {
onChanged();
return getSegmentFieldBuilder().getBuilder();
}
/**
* .org.nd4j.ir.TensorProto.Segment segment = 3;
*/
public org.nd4j.ir.TensorNamespace.TensorProto.SegmentOrBuilder getSegmentOrBuilder() {
if (segmentBuilder_ != null) {
return segmentBuilder_.getMessageOrBuilder();
} else {
return segment_ == null ?
org.nd4j.ir.TensorNamespace.TensorProto.Segment.getDefaultInstance() : segment_;
}
}
/**
* .org.nd4j.ir.TensorProto.Segment segment = 3;
*/
private org.nd4j.shade.protobuf.SingleFieldBuilderV3<
org.nd4j.ir.TensorNamespace.TensorProto.Segment, org.nd4j.ir.TensorNamespace.TensorProto.Segment.Builder, org.nd4j.ir.TensorNamespace.TensorProto.SegmentOrBuilder>
getSegmentFieldBuilder() {
if (segmentBuilder_ == null) {
segmentBuilder_ = new org.nd4j.shade.protobuf.SingleFieldBuilderV3<
org.nd4j.ir.TensorNamespace.TensorProto.Segment, org.nd4j.ir.TensorNamespace.TensorProto.Segment.Builder, org.nd4j.ir.TensorNamespace.TensorProto.SegmentOrBuilder>(
getSegment(),
getParentForChildren(),
isClean());
segment_ = null;
}
return segmentBuilder_;
}
private org.nd4j.shade.protobuf.Internal.FloatList floatData_ = emptyFloatList();
private void ensureFloatDataIsMutable() {
if (!((bitField0_ & 0x00000002) != 0)) {
floatData_ = mutableCopy(floatData_);
bitField0_ |= 0x00000002;
}
}
/**
*
* For float and complex64 values
* Complex64 tensors are encoded as a single array of floats,
* with the real components appearing in odd numbered positions,
* and the corresponding imaginary component appearing in the
* subsequent even numbered position. (e.g., [1.0 + 2.0i, 3.0 + 4.0i]
* is encoded as [1.0, 2.0 ,3.0 ,4.0]
* When this field is present, the data_type field MUST be FLOAT or COMPLEX64.
*
*
* repeated float float_data = 4 [packed = true];
* @return A list containing the floatData.
*/
public java.util.List
getFloatDataList() {
return ((bitField0_ & 0x00000002) != 0) ?
java.util.Collections.unmodifiableList(floatData_) : floatData_;
}
/**
*
* For float and complex64 values
* Complex64 tensors are encoded as a single array of floats,
* with the real components appearing in odd numbered positions,
* and the corresponding imaginary component appearing in the
* subsequent even numbered position. (e.g., [1.0 + 2.0i, 3.0 + 4.0i]
* is encoded as [1.0, 2.0 ,3.0 ,4.0]
* When this field is present, the data_type field MUST be FLOAT or COMPLEX64.
*
*
* repeated float float_data = 4 [packed = true];
* @return The count of floatData.
*/
public int getFloatDataCount() {
return floatData_.size();
}
/**
*
* For float and complex64 values
* Complex64 tensors are encoded as a single array of floats,
* with the real components appearing in odd numbered positions,
* and the corresponding imaginary component appearing in the
* subsequent even numbered position. (e.g., [1.0 + 2.0i, 3.0 + 4.0i]
* is encoded as [1.0, 2.0 ,3.0 ,4.0]
* When this field is present, the data_type field MUST be FLOAT or COMPLEX64.
*
*
* repeated float float_data = 4 [packed = true];
* @param index The index of the element to return.
* @return The floatData at the given index.
*/
public float getFloatData(int index) {
return floatData_.getFloat(index);
}
/**
*
* For float and complex64 values
* Complex64 tensors are encoded as a single array of floats,
* with the real components appearing in odd numbered positions,
* and the corresponding imaginary component appearing in the
* subsequent even numbered position. (e.g., [1.0 + 2.0i, 3.0 + 4.0i]
* is encoded as [1.0, 2.0 ,3.0 ,4.0]
* When this field is present, the data_type field MUST be FLOAT or COMPLEX64.
*
*
* repeated float float_data = 4 [packed = true];
* @param index The index to set the value at.
* @param value The floatData to set.
* @return This builder for chaining.
*/
public Builder setFloatData(
int index, float value) {
ensureFloatDataIsMutable();
floatData_.setFloat(index, value);
onChanged();
return this;
}
/**
*
* For float and complex64 values
* Complex64 tensors are encoded as a single array of floats,
* with the real components appearing in odd numbered positions,
* and the corresponding imaginary component appearing in the
* subsequent even numbered position. (e.g., [1.0 + 2.0i, 3.0 + 4.0i]
* is encoded as [1.0, 2.0 ,3.0 ,4.0]
* When this field is present, the data_type field MUST be FLOAT or COMPLEX64.
*
*
* repeated float float_data = 4 [packed = true];
* @param value The floatData to add.
* @return This builder for chaining.
*/
public Builder addFloatData(float value) {
ensureFloatDataIsMutable();
floatData_.addFloat(value);
onChanged();
return this;
}
/**
*
* For float and complex64 values
* Complex64 tensors are encoded as a single array of floats,
* with the real components appearing in odd numbered positions,
* and the corresponding imaginary component appearing in the
* subsequent even numbered position. (e.g., [1.0 + 2.0i, 3.0 + 4.0i]
* is encoded as [1.0, 2.0 ,3.0 ,4.0]
* When this field is present, the data_type field MUST be FLOAT or COMPLEX64.
*
*
* repeated float float_data = 4 [packed = true];
* @param values The floatData to add.
* @return This builder for chaining.
*/
public Builder addAllFloatData(
java.lang.Iterable values) {
ensureFloatDataIsMutable();
org.nd4j.shade.protobuf.AbstractMessageLite.Builder.addAll(
values, floatData_);
onChanged();
return this;
}
/**
*
* For float and complex64 values
* Complex64 tensors are encoded as a single array of floats,
* with the real components appearing in odd numbered positions,
* and the corresponding imaginary component appearing in the
* subsequent even numbered position. (e.g., [1.0 + 2.0i, 3.0 + 4.0i]
* is encoded as [1.0, 2.0 ,3.0 ,4.0]
* When this field is present, the data_type field MUST be FLOAT or COMPLEX64.
*
*
* repeated float float_data = 4 [packed = true];
* @return This builder for chaining.
*/
public Builder clearFloatData() {
floatData_ = emptyFloatList();
bitField0_ = (bitField0_ & ~0x00000002);
onChanged();
return this;
}
private org.nd4j.shade.protobuf.Internal.IntList int32Data_ = emptyIntList();
private void ensureInt32DataIsMutable() {
if (!((bitField0_ & 0x00000004) != 0)) {
int32Data_ = mutableCopy(int32Data_);
bitField0_ |= 0x00000004;
}
}
/**
*
* For int32, uint8, int8, uint16, int16, bool, and float16 values
* float16 values must be bit-wise converted to an uint16_t prior
* to writing to the buffer.
* When this field is present, the data_type field MUST be
* INT32, INT16, INT8, UINT16, UINT8, BOOL, or FLOAT16
*
*
* repeated int32 int32_data = 5 [packed = true];
* @return A list containing the int32Data.
*/
public java.util.List
getInt32DataList() {
return ((bitField0_ & 0x00000004) != 0) ?
java.util.Collections.unmodifiableList(int32Data_) : int32Data_;
}
/**
*
* For int32, uint8, int8, uint16, int16, bool, and float16 values
* float16 values must be bit-wise converted to an uint16_t prior
* to writing to the buffer.
* When this field is present, the data_type field MUST be
* INT32, INT16, INT8, UINT16, UINT8, BOOL, or FLOAT16
*
*
* repeated int32 int32_data = 5 [packed = true];
* @return The count of int32Data.
*/
public int getInt32DataCount() {
return int32Data_.size();
}
/**
*
* For int32, uint8, int8, uint16, int16, bool, and float16 values
* float16 values must be bit-wise converted to an uint16_t prior
* to writing to the buffer.
* When this field is present, the data_type field MUST be
* INT32, INT16, INT8, UINT16, UINT8, BOOL, or FLOAT16
*
*
* repeated int32 int32_data = 5 [packed = true];
* @param index The index of the element to return.
* @return The int32Data at the given index.
*/
public int getInt32Data(int index) {
return int32Data_.getInt(index);
}
/**
*
* For int32, uint8, int8, uint16, int16, bool, and float16 values
* float16 values must be bit-wise converted to an uint16_t prior
* to writing to the buffer.
* When this field is present, the data_type field MUST be
* INT32, INT16, INT8, UINT16, UINT8, BOOL, or FLOAT16
*
*
* repeated int32 int32_data = 5 [packed = true];
* @param index The index to set the value at.
* @param value The int32Data to set.
* @return This builder for chaining.
*/
public Builder setInt32Data(
int index, int value) {
ensureInt32DataIsMutable();
int32Data_.setInt(index, value);
onChanged();
return this;
}
/**
*
* For int32, uint8, int8, uint16, int16, bool, and float16 values
* float16 values must be bit-wise converted to an uint16_t prior
* to writing to the buffer.
* When this field is present, the data_type field MUST be
* INT32, INT16, INT8, UINT16, UINT8, BOOL, or FLOAT16
*
*
* repeated int32 int32_data = 5 [packed = true];
* @param value The int32Data to add.
* @return This builder for chaining.
*/
public Builder addInt32Data(int value) {
ensureInt32DataIsMutable();
int32Data_.addInt(value);
onChanged();
return this;
}
/**
*
* For int32, uint8, int8, uint16, int16, bool, and float16 values
* float16 values must be bit-wise converted to an uint16_t prior
* to writing to the buffer.
* When this field is present, the data_type field MUST be
* INT32, INT16, INT8, UINT16, UINT8, BOOL, or FLOAT16
*
*
* repeated int32 int32_data = 5 [packed = true];
* @param values The int32Data to add.
* @return This builder for chaining.
*/
public Builder addAllInt32Data(
java.lang.Iterable values) {
ensureInt32DataIsMutable();
org.nd4j.shade.protobuf.AbstractMessageLite.Builder.addAll(
values, int32Data_);
onChanged();
return this;
}
/**
*
* For int32, uint8, int8, uint16, int16, bool, and float16 values
* float16 values must be bit-wise converted to an uint16_t prior
* to writing to the buffer.
* When this field is present, the data_type field MUST be
* INT32, INT16, INT8, UINT16, UINT8, BOOL, or FLOAT16
*
*
* repeated int32 int32_data = 5 [packed = true];
* @return This builder for chaining.
*/
public Builder clearInt32Data() {
int32Data_ = emptyIntList();
bitField0_ = (bitField0_ & ~0x00000004);
onChanged();
return this;
}
private java.util.List stringData_ = java.util.Collections.emptyList();
private void ensureStringDataIsMutable() {
if (!((bitField0_ & 0x00000008) != 0)) {
stringData_ = new java.util.ArrayList(stringData_);
bitField0_ |= 0x00000008;
}
}
/**
*
* For strings.
* Each element of string_data is a UTF-8 encoded Unicode
* string. No trailing null, no leading BOM. The protobuf "string"
* scalar type is not used to match ML community conventions.
* When this field is present, the data_type field MUST be STRING
*
*
* repeated bytes string_data = 6;
* @return A list containing the stringData.
*/
public java.util.List
getStringDataList() {
return ((bitField0_ & 0x00000008) != 0) ?
java.util.Collections.unmodifiableList(stringData_) : stringData_;
}
/**
*
* For strings.
* Each element of string_data is a UTF-8 encoded Unicode
* string. No trailing null, no leading BOM. The protobuf "string"
* scalar type is not used to match ML community conventions.
* When this field is present, the data_type field MUST be STRING
*
*
* repeated bytes string_data = 6;
* @return The count of stringData.
*/
public int getStringDataCount() {
return stringData_.size();
}
/**
*
* For strings.
* Each element of string_data is a UTF-8 encoded Unicode
* string. No trailing null, no leading BOM. The protobuf "string"
* scalar type is not used to match ML community conventions.
* When this field is present, the data_type field MUST be STRING
*
*
* repeated bytes string_data = 6;
* @param index The index of the element to return.
* @return The stringData at the given index.
*/
public org.nd4j.shade.protobuf.ByteString getStringData(int index) {
return stringData_.get(index);
}
/**
*
* For strings.
* Each element of string_data is a UTF-8 encoded Unicode
* string. No trailing null, no leading BOM. The protobuf "string"
* scalar type is not used to match ML community conventions.
* When this field is present, the data_type field MUST be STRING
*
*
* repeated bytes string_data = 6;
* @param index The index to set the value at.
* @param value The stringData to set.
* @return This builder for chaining.
*/
public Builder setStringData(
int index, org.nd4j.shade.protobuf.ByteString value) {
if (value == null) {
throw new NullPointerException();
}
ensureStringDataIsMutable();
stringData_.set(index, value);
onChanged();
return this;
}
/**
*
* For strings.
* Each element of string_data is a UTF-8 encoded Unicode
* string. No trailing null, no leading BOM. The protobuf "string"
* scalar type is not used to match ML community conventions.
* When this field is present, the data_type field MUST be STRING
*
*
* repeated bytes string_data = 6;
* @param value The stringData to add.
* @return This builder for chaining.
*/
public Builder addStringData(org.nd4j.shade.protobuf.ByteString value) {
if (value == null) {
throw new NullPointerException();
}
ensureStringDataIsMutable();
stringData_.add(value);
onChanged();
return this;
}
/**
*
* For strings.
* Each element of string_data is a UTF-8 encoded Unicode
* string. No trailing null, no leading BOM. The protobuf "string"
* scalar type is not used to match ML community conventions.
* When this field is present, the data_type field MUST be STRING
*
*
* repeated bytes string_data = 6;
* @param values The stringData to add.
* @return This builder for chaining.
*/
public Builder addAllStringData(
java.lang.Iterable values) {
ensureStringDataIsMutable();
org.nd4j.shade.protobuf.AbstractMessageLite.Builder.addAll(
values, stringData_);
onChanged();
return this;
}
/**
*
* For strings.
* Each element of string_data is a UTF-8 encoded Unicode
* string. No trailing null, no leading BOM. The protobuf "string"
* scalar type is not used to match ML community conventions.
* When this field is present, the data_type field MUST be STRING
*
*
* repeated bytes string_data = 6;
* @return This builder for chaining.
*/
public Builder clearStringData() {
stringData_ = java.util.Collections.emptyList();
bitField0_ = (bitField0_ & ~0x00000008);
onChanged();
return this;
}
private org.nd4j.shade.protobuf.Internal.LongList int64Data_ = emptyLongList();
private void ensureInt64DataIsMutable() {
if (!((bitField0_ & 0x00000010) != 0)) {
int64Data_ = mutableCopy(int64Data_);
bitField0_ |= 0x00000010;
}
}
/**
*
* For int64.
* When this field is present, the data_type field MUST be INT64
*
*
* repeated int64 int64_data = 7 [packed = true];
* @return A list containing the int64Data.
*/
public java.util.List
getInt64DataList() {
return ((bitField0_ & 0x00000010) != 0) ?
java.util.Collections.unmodifiableList(int64Data_) : int64Data_;
}
/**
*
* For int64.
* When this field is present, the data_type field MUST be INT64
*
*
* repeated int64 int64_data = 7 [packed = true];
* @return The count of int64Data.
*/
public int getInt64DataCount() {
return int64Data_.size();
}
/**
*
* For int64.
* When this field is present, the data_type field MUST be INT64
*
*
* repeated int64 int64_data = 7 [packed = true];
* @param index The index of the element to return.
* @return The int64Data at the given index.
*/
public long getInt64Data(int index) {
return int64Data_.getLong(index);
}
/**
*
* For int64.
* When this field is present, the data_type field MUST be INT64
*
*
* repeated int64 int64_data = 7 [packed = true];
* @param index The index to set the value at.
* @param value The int64Data to set.
* @return This builder for chaining.
*/
public Builder setInt64Data(
int index, long value) {
ensureInt64DataIsMutable();
int64Data_.setLong(index, value);
onChanged();
return this;
}
/**
*
* For int64.
* When this field is present, the data_type field MUST be INT64
*
*
* repeated int64 int64_data = 7 [packed = true];
* @param value The int64Data to add.
* @return This builder for chaining.
*/
public Builder addInt64Data(long value) {
ensureInt64DataIsMutable();
int64Data_.addLong(value);
onChanged();
return this;
}
/**
*
* For int64.
* When this field is present, the data_type field MUST be INT64
*
*
* repeated int64 int64_data = 7 [packed = true];
* @param values The int64Data to add.
* @return This builder for chaining.
*/
public Builder addAllInt64Data(
java.lang.Iterable values) {
ensureInt64DataIsMutable();
org.nd4j.shade.protobuf.AbstractMessageLite.Builder.addAll(
values, int64Data_);
onChanged();
return this;
}
/**
*
* For int64.
* When this field is present, the data_type field MUST be INT64
*
*
* repeated int64 int64_data = 7 [packed = true];
* @return This builder for chaining.
*/
public Builder clearInt64Data() {
int64Data_ = emptyLongList();
bitField0_ = (bitField0_ & ~0x00000010);
onChanged();
return this;
}
private java.lang.Object name_ = "";
/**
*
* Optionally, a name for the tensor.
*
*
* string name = 8;
* @return The name.
*/
public java.lang.String getName() {
java.lang.Object ref = name_;
if (!(ref instanceof java.lang.String)) {
org.nd4j.shade.protobuf.ByteString bs =
(org.nd4j.shade.protobuf.ByteString) ref;
java.lang.String s = bs.toStringUtf8();
name_ = s;
return s;
} else {
return (java.lang.String) ref;
}
}
/**
*
* Optionally, a name for the tensor.
*
*
* string name = 8;
* @return The bytes for name.
*/
public org.nd4j.shade.protobuf.ByteString
getNameBytes() {
java.lang.Object ref = name_;
if (ref instanceof String) {
org.nd4j.shade.protobuf.ByteString b =
org.nd4j.shade.protobuf.ByteString.copyFromUtf8(
(java.lang.String) ref);
name_ = b;
return b;
} else {
return (org.nd4j.shade.protobuf.ByteString) ref;
}
}
/**
*
* Optionally, a name for the tensor.
*
*
* string name = 8;
* @param value The name to set.
* @return This builder for chaining.
*/
public Builder setName(
java.lang.String value) {
if (value == null) {
throw new NullPointerException();
}
name_ = value;
onChanged();
return this;
}
/**
*
* Optionally, a name for the tensor.
*
*
* string name = 8;
* @return This builder for chaining.
*/
public Builder clearName() {
name_ = getDefaultInstance().getName();
onChanged();
return this;
}
/**
*
* Optionally, a name for the tensor.
*
*
* string name = 8;
* @param value The bytes for name to set.
* @return This builder for chaining.
*/
public Builder setNameBytes(
org.nd4j.shade.protobuf.ByteString value) {
if (value == null) {
throw new NullPointerException();
}
checkByteStringIsUtf8(value);
name_ = value;
onChanged();
return this;
}
private java.lang.Object docString_ = "";
/**
*
* A human-readable documentation for this tensor. Markdown is allowed.
*
*
* string doc_string = 12;
* @return The docString.
*/
public java.lang.String getDocString() {
java.lang.Object ref = docString_;
if (!(ref instanceof java.lang.String)) {
org.nd4j.shade.protobuf.ByteString bs =
(org.nd4j.shade.protobuf.ByteString) ref;
java.lang.String s = bs.toStringUtf8();
docString_ = s;
return s;
} else {
return (java.lang.String) ref;
}
}
/**
*
* A human-readable documentation for this tensor. Markdown is allowed.
*
*
* string doc_string = 12;
* @return The bytes for docString.
*/
public org.nd4j.shade.protobuf.ByteString
getDocStringBytes() {
java.lang.Object ref = docString_;
if (ref instanceof String) {
org.nd4j.shade.protobuf.ByteString b =
org.nd4j.shade.protobuf.ByteString.copyFromUtf8(
(java.lang.String) ref);
docString_ = b;
return b;
} else {
return (org.nd4j.shade.protobuf.ByteString) ref;
}
}
/**
*
* A human-readable documentation for this tensor. Markdown is allowed.
*
*
* string doc_string = 12;
* @param value The docString to set.
* @return This builder for chaining.
*/
public Builder setDocString(
java.lang.String value) {
if (value == null) {
throw new NullPointerException();
}
docString_ = value;
onChanged();
return this;
}
/**
*
* A human-readable documentation for this tensor. Markdown is allowed.
*
*
* string doc_string = 12;
* @return This builder for chaining.
*/
public Builder clearDocString() {
docString_ = getDefaultInstance().getDocString();
onChanged();
return this;
}
/**
*
* A human-readable documentation for this tensor. Markdown is allowed.
*
*
* string doc_string = 12;
* @param value The bytes for docString to set.
* @return This builder for chaining.
*/
public Builder setDocStringBytes(
org.nd4j.shade.protobuf.ByteString value) {
if (value == null) {
throw new NullPointerException();
}
checkByteStringIsUtf8(value);
docString_ = value;
onChanged();
return this;
}
private org.nd4j.shade.protobuf.ByteString rawData_ = org.nd4j.shade.protobuf.ByteString.EMPTY;
/**
*
* Serializations can either use one of the fields above, or use this
* raw bytes field. The only exception is the string case, where one is
* required to store the content in the repeated bytes string_data field.
* When this raw_data field is used to store tensor value, elements MUST
* be stored in as fixed-width, little-endian order.
* Floating-point data types MUST be stored in IEEE 754 format.
* Complex64 elements must be written as two consecutive FLOAT values, real component first.
* Complex128 elements must be written as two consecutive DOUBLE values, real component first.
* Boolean type MUST be written one byte per tensor element (00000001 for true, 00000000 for false).
* Note: the advantage of specific field rather than the raw_data field is
* that in some cases (e.g. int data), protobuf does a better packing via
* variable length storage, and may lead to smaller binary footprint.
* When this field is present, the data_type field MUST NOT be STRING or UNDEFINED
*
*
* bytes raw_data = 9;
* @return The rawData.
*/
@java.lang.Override
public org.nd4j.shade.protobuf.ByteString getRawData() {
return rawData_;
}
/**
*
* Serializations can either use one of the fields above, or use this
* raw bytes field. The only exception is the string case, where one is
* required to store the content in the repeated bytes string_data field.
* When this raw_data field is used to store tensor value, elements MUST
* be stored in as fixed-width, little-endian order.
* Floating-point data types MUST be stored in IEEE 754 format.
* Complex64 elements must be written as two consecutive FLOAT values, real component first.
* Complex128 elements must be written as two consecutive DOUBLE values, real component first.
* Boolean type MUST be written one byte per tensor element (00000001 for true, 00000000 for false).
* Note: the advantage of specific field rather than the raw_data field is
* that in some cases (e.g. int data), protobuf does a better packing via
* variable length storage, and may lead to smaller binary footprint.
* When this field is present, the data_type field MUST NOT be STRING or UNDEFINED
*
*
* bytes raw_data = 9;
* @param value The rawData to set.
* @return This builder for chaining.
*/
public Builder setRawData(org.nd4j.shade.protobuf.ByteString value) {
if (value == null) {
throw new NullPointerException();
}
rawData_ = value;
onChanged();
return this;
}
/**
*
* Serializations can either use one of the fields above, or use this
* raw bytes field. The only exception is the string case, where one is
* required to store the content in the repeated bytes string_data field.
* When this raw_data field is used to store tensor value, elements MUST
* be stored in as fixed-width, little-endian order.
* Floating-point data types MUST be stored in IEEE 754 format.
* Complex64 elements must be written as two consecutive FLOAT values, real component first.
* Complex128 elements must be written as two consecutive DOUBLE values, real component first.
* Boolean type MUST be written one byte per tensor element (00000001 for true, 00000000 for false).
* Note: the advantage of specific field rather than the raw_data field is
* that in some cases (e.g. int data), protobuf does a better packing via
* variable length storage, and may lead to smaller binary footprint.
* When this field is present, the data_type field MUST NOT be STRING or UNDEFINED
*
*
* bytes raw_data = 9;
* @return This builder for chaining.
*/
public Builder clearRawData() {
rawData_ = getDefaultInstance().getRawData();
onChanged();
return this;
}
private java.util.List externalData_ =
java.util.Collections.emptyList();
private void ensureExternalDataIsMutable() {
if (!((bitField0_ & 0x00000020) != 0)) {
externalData_ = new java.util.ArrayList(externalData_);
bitField0_ |= 0x00000020;
}
}
private org.nd4j.shade.protobuf.RepeatedFieldBuilderV3<
org.nd4j.ir.TensorNamespace.StringStringEntryProto, org.nd4j.ir.TensorNamespace.StringStringEntryProto.Builder, org.nd4j.ir.TensorNamespace.StringStringEntryProtoOrBuilder> externalDataBuilder_;
/**
*
* Data can be stored inside the protobuf file using type-specific fields or raw_data.
* Alternatively, raw bytes data can be stored in an external file, using the external_data field.
* external_data stores key-value pairs describing data location. Recognized keys are:
* - "location" (required) - POSIX filesystem path relative to the directory where the ONNX
* protobuf model was stored
* - "offset" (optional) - position of byte at which stored data begins. Integer stored as string.
* Offset values SHOULD be multiples 4096 (page size) to enable mmap support.
* - "length" (optional) - number of bytes containing data. Integer stored as string.
* - "checksum" (optional) - SHA1 digest of file specified in under 'location' key.
*
*
* repeated .org.nd4j.ir.StringStringEntryProto external_data = 13;
*/
public java.util.List getExternalDataList() {
if (externalDataBuilder_ == null) {
return java.util.Collections.unmodifiableList(externalData_);
} else {
return externalDataBuilder_.getMessageList();
}
}
/**
*
* Data can be stored inside the protobuf file using type-specific fields or raw_data.
* Alternatively, raw bytes data can be stored in an external file, using the external_data field.
* external_data stores key-value pairs describing data location. Recognized keys are:
* - "location" (required) - POSIX filesystem path relative to the directory where the ONNX
* protobuf model was stored
* - "offset" (optional) - position of byte at which stored data begins. Integer stored as string.
* Offset values SHOULD be multiples 4096 (page size) to enable mmap support.
* - "length" (optional) - number of bytes containing data. Integer stored as string.
* - "checksum" (optional) - SHA1 digest of file specified in under 'location' key.
*
*
* repeated .org.nd4j.ir.StringStringEntryProto external_data = 13;
*/
public int getExternalDataCount() {
if (externalDataBuilder_ == null) {
return externalData_.size();
} else {
return externalDataBuilder_.getCount();
}
}
/**
*
* Data can be stored inside the protobuf file using type-specific fields or raw_data.
* Alternatively, raw bytes data can be stored in an external file, using the external_data field.
* external_data stores key-value pairs describing data location. Recognized keys are:
* - "location" (required) - POSIX filesystem path relative to the directory where the ONNX
* protobuf model was stored
* - "offset" (optional) - position of byte at which stored data begins. Integer stored as string.
* Offset values SHOULD be multiples 4096 (page size) to enable mmap support.
* - "length" (optional) - number of bytes containing data. Integer stored as string.
* - "checksum" (optional) - SHA1 digest of file specified in under 'location' key.
*
*
* repeated .org.nd4j.ir.StringStringEntryProto external_data = 13;
*/
public org.nd4j.ir.TensorNamespace.StringStringEntryProto getExternalData(int index) {
if (externalDataBuilder_ == null) {
return externalData_.get(index);
} else {
return externalDataBuilder_.getMessage(index);
}
}
/**
*
* Data can be stored inside the protobuf file using type-specific fields or raw_data.
* Alternatively, raw bytes data can be stored in an external file, using the external_data field.
* external_data stores key-value pairs describing data location. Recognized keys are:
* - "location" (required) - POSIX filesystem path relative to the directory where the ONNX
* protobuf model was stored
* - "offset" (optional) - position of byte at which stored data begins. Integer stored as string.
* Offset values SHOULD be multiples 4096 (page size) to enable mmap support.
* - "length" (optional) - number of bytes containing data. Integer stored as string.
* - "checksum" (optional) - SHA1 digest of file specified in under 'location' key.
*
*
* repeated .org.nd4j.ir.StringStringEntryProto external_data = 13;
*/
public Builder setExternalData(
int index, org.nd4j.ir.TensorNamespace.StringStringEntryProto value) {
if (externalDataBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensureExternalDataIsMutable();
externalData_.set(index, value);
onChanged();
} else {
externalDataBuilder_.setMessage(index, value);
}
return this;
}
/**
*
* Data can be stored inside the protobuf file using type-specific fields or raw_data.
* Alternatively, raw bytes data can be stored in an external file, using the external_data field.
* external_data stores key-value pairs describing data location. Recognized keys are:
* - "location" (required) - POSIX filesystem path relative to the directory where the ONNX
* protobuf model was stored
* - "offset" (optional) - position of byte at which stored data begins. Integer stored as string.
* Offset values SHOULD be multiples 4096 (page size) to enable mmap support.
* - "length" (optional) - number of bytes containing data. Integer stored as string.
* - "checksum" (optional) - SHA1 digest of file specified in under 'location' key.
*
*
* repeated .org.nd4j.ir.StringStringEntryProto external_data = 13;
*/
public Builder setExternalData(
int index, org.nd4j.ir.TensorNamespace.StringStringEntryProto.Builder builderForValue) {
if (externalDataBuilder_ == null) {
ensureExternalDataIsMutable();
externalData_.set(index, builderForValue.build());
onChanged();
} else {
externalDataBuilder_.setMessage(index, builderForValue.build());
}
return this;
}
/**
*
* Data can be stored inside the protobuf file using type-specific fields or raw_data.
* Alternatively, raw bytes data can be stored in an external file, using the external_data field.
* external_data stores key-value pairs describing data location. Recognized keys are:
* - "location" (required) - POSIX filesystem path relative to the directory where the ONNX
* protobuf model was stored
* - "offset" (optional) - position of byte at which stored data begins. Integer stored as string.
* Offset values SHOULD be multiples 4096 (page size) to enable mmap support.
* - "length" (optional) - number of bytes containing data. Integer stored as string.
* - "checksum" (optional) - SHA1 digest of file specified in under 'location' key.
*
*
* repeated .org.nd4j.ir.StringStringEntryProto external_data = 13;
*/
public Builder addExternalData(org.nd4j.ir.TensorNamespace.StringStringEntryProto value) {
if (externalDataBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensureExternalDataIsMutable();
externalData_.add(value);
onChanged();
} else {
externalDataBuilder_.addMessage(value);
}
return this;
}
/**
*
* Data can be stored inside the protobuf file using type-specific fields or raw_data.
* Alternatively, raw bytes data can be stored in an external file, using the external_data field.
* external_data stores key-value pairs describing data location. Recognized keys are:
* - "location" (required) - POSIX filesystem path relative to the directory where the ONNX
* protobuf model was stored
* - "offset" (optional) - position of byte at which stored data begins. Integer stored as string.
* Offset values SHOULD be multiples 4096 (page size) to enable mmap support.
* - "length" (optional) - number of bytes containing data. Integer stored as string.
* - "checksum" (optional) - SHA1 digest of file specified in under 'location' key.
*
*
* repeated .org.nd4j.ir.StringStringEntryProto external_data = 13;
*/
public Builder addExternalData(
int index, org.nd4j.ir.TensorNamespace.StringStringEntryProto value) {
if (externalDataBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensureExternalDataIsMutable();
externalData_.add(index, value);
onChanged();
} else {
externalDataBuilder_.addMessage(index, value);
}
return this;
}
/**
*
* Data can be stored inside the protobuf file using type-specific fields or raw_data.
* Alternatively, raw bytes data can be stored in an external file, using the external_data field.
* external_data stores key-value pairs describing data location. Recognized keys are:
* - "location" (required) - POSIX filesystem path relative to the directory where the ONNX
* protobuf model was stored
* - "offset" (optional) - position of byte at which stored data begins. Integer stored as string.
* Offset values SHOULD be multiples 4096 (page size) to enable mmap support.
* - "length" (optional) - number of bytes containing data. Integer stored as string.
* - "checksum" (optional) - SHA1 digest of file specified in under 'location' key.
*
*
* repeated .org.nd4j.ir.StringStringEntryProto external_data = 13;
*/
public Builder addExternalData(
org.nd4j.ir.TensorNamespace.StringStringEntryProto.Builder builderForValue) {
if (externalDataBuilder_ == null) {
ensureExternalDataIsMutable();
externalData_.add(builderForValue.build());
onChanged();
} else {
externalDataBuilder_.addMessage(builderForValue.build());
}
return this;
}
/**
*
* Data can be stored inside the protobuf file using type-specific fields or raw_data.
* Alternatively, raw bytes data can be stored in an external file, using the external_data field.
* external_data stores key-value pairs describing data location. Recognized keys are:
* - "location" (required) - POSIX filesystem path relative to the directory where the ONNX
* protobuf model was stored
* - "offset" (optional) - position of byte at which stored data begins. Integer stored as string.
* Offset values SHOULD be multiples 4096 (page size) to enable mmap support.
* - "length" (optional) - number of bytes containing data. Integer stored as string.
* - "checksum" (optional) - SHA1 digest of file specified in under 'location' key.
*
*
* repeated .org.nd4j.ir.StringStringEntryProto external_data = 13;
*/
public Builder addExternalData(
int index, org.nd4j.ir.TensorNamespace.StringStringEntryProto.Builder builderForValue) {
if (externalDataBuilder_ == null) {
ensureExternalDataIsMutable();
externalData_.add(index, builderForValue.build());
onChanged();
} else {
externalDataBuilder_.addMessage(index, builderForValue.build());
}
return this;
}
/**
*
* Data can be stored inside the protobuf file using type-specific fields or raw_data.
* Alternatively, raw bytes data can be stored in an external file, using the external_data field.
* external_data stores key-value pairs describing data location. Recognized keys are:
* - "location" (required) - POSIX filesystem path relative to the directory where the ONNX
* protobuf model was stored
* - "offset" (optional) - position of byte at which stored data begins. Integer stored as string.
* Offset values SHOULD be multiples 4096 (page size) to enable mmap support.
* - "length" (optional) - number of bytes containing data. Integer stored as string.
* - "checksum" (optional) - SHA1 digest of file specified in under 'location' key.
*
*
* repeated .org.nd4j.ir.StringStringEntryProto external_data = 13;
*/
public Builder addAllExternalData(
java.lang.Iterable values) {
if (externalDataBuilder_ == null) {
ensureExternalDataIsMutable();
org.nd4j.shade.protobuf.AbstractMessageLite.Builder.addAll(
values, externalData_);
onChanged();
} else {
externalDataBuilder_.addAllMessages(values);
}
return this;
}
/**
*
* Data can be stored inside the protobuf file using type-specific fields or raw_data.
* Alternatively, raw bytes data can be stored in an external file, using the external_data field.
* external_data stores key-value pairs describing data location. Recognized keys are:
* - "location" (required) - POSIX filesystem path relative to the directory where the ONNX
* protobuf model was stored
* - "offset" (optional) - position of byte at which stored data begins. Integer stored as string.
* Offset values SHOULD be multiples 4096 (page size) to enable mmap support.
* - "length" (optional) - number of bytes containing data. Integer stored as string.
* - "checksum" (optional) - SHA1 digest of file specified in under 'location' key.
*
*
* repeated .org.nd4j.ir.StringStringEntryProto external_data = 13;
*/
public Builder clearExternalData() {
if (externalDataBuilder_ == null) {
externalData_ = java.util.Collections.emptyList();
bitField0_ = (bitField0_ & ~0x00000020);
onChanged();
} else {
externalDataBuilder_.clear();
}
return this;
}
/**
*
* Data can be stored inside the protobuf file using type-specific fields or raw_data.
* Alternatively, raw bytes data can be stored in an external file, using the external_data field.
* external_data stores key-value pairs describing data location. Recognized keys are:
* - "location" (required) - POSIX filesystem path relative to the directory where the ONNX
* protobuf model was stored
* - "offset" (optional) - position of byte at which stored data begins. Integer stored as string.
* Offset values SHOULD be multiples 4096 (page size) to enable mmap support.
* - "length" (optional) - number of bytes containing data. Integer stored as string.
* - "checksum" (optional) - SHA1 digest of file specified in under 'location' key.
*
*
* repeated .org.nd4j.ir.StringStringEntryProto external_data = 13;
*/
public Builder removeExternalData(int index) {
if (externalDataBuilder_ == null) {
ensureExternalDataIsMutable();
externalData_.remove(index);
onChanged();
} else {
externalDataBuilder_.remove(index);
}
return this;
}
/**
*
* Data can be stored inside the protobuf file using type-specific fields or raw_data.
* Alternatively, raw bytes data can be stored in an external file, using the external_data field.
* external_data stores key-value pairs describing data location. Recognized keys are:
* - "location" (required) - POSIX filesystem path relative to the directory where the ONNX
* protobuf model was stored
* - "offset" (optional) - position of byte at which stored data begins. Integer stored as string.
* Offset values SHOULD be multiples 4096 (page size) to enable mmap support.
* - "length" (optional) - number of bytes containing data. Integer stored as string.
* - "checksum" (optional) - SHA1 digest of file specified in under 'location' key.
*
*
* repeated .org.nd4j.ir.StringStringEntryProto external_data = 13;
*/
public org.nd4j.ir.TensorNamespace.StringStringEntryProto.Builder getExternalDataBuilder(
int index) {
return getExternalDataFieldBuilder().getBuilder(index);
}
/**
*
* Data can be stored inside the protobuf file using type-specific fields or raw_data.
* Alternatively, raw bytes data can be stored in an external file, using the external_data field.
* external_data stores key-value pairs describing data location. Recognized keys are:
* - "location" (required) - POSIX filesystem path relative to the directory where the ONNX
* protobuf model was stored
* - "offset" (optional) - position of byte at which stored data begins. Integer stored as string.
* Offset values SHOULD be multiples 4096 (page size) to enable mmap support.
* - "length" (optional) - number of bytes containing data. Integer stored as string.
* - "checksum" (optional) - SHA1 digest of file specified in under 'location' key.
*
*
* repeated .org.nd4j.ir.StringStringEntryProto external_data = 13;
*/
public org.nd4j.ir.TensorNamespace.StringStringEntryProtoOrBuilder getExternalDataOrBuilder(
int index) {
if (externalDataBuilder_ == null) {
return externalData_.get(index); } else {
return externalDataBuilder_.getMessageOrBuilder(index);
}
}
/**
*
* Data can be stored inside the protobuf file using type-specific fields or raw_data.
* Alternatively, raw bytes data can be stored in an external file, using the external_data field.
* external_data stores key-value pairs describing data location. Recognized keys are:
* - "location" (required) - POSIX filesystem path relative to the directory where the ONNX
* protobuf model was stored
* - "offset" (optional) - position of byte at which stored data begins. Integer stored as string.
* Offset values SHOULD be multiples 4096 (page size) to enable mmap support.
* - "length" (optional) - number of bytes containing data. Integer stored as string.
* - "checksum" (optional) - SHA1 digest of file specified in under 'location' key.
*
*
* repeated .org.nd4j.ir.StringStringEntryProto external_data = 13;
*/
public java.util.List
getExternalDataOrBuilderList() {
if (externalDataBuilder_ != null) {
return externalDataBuilder_.getMessageOrBuilderList();
} else {
return java.util.Collections.unmodifiableList(externalData_);
}
}
/**
*
* Data can be stored inside the protobuf file using type-specific fields or raw_data.
* Alternatively, raw bytes data can be stored in an external file, using the external_data field.
* external_data stores key-value pairs describing data location. Recognized keys are:
* - "location" (required) - POSIX filesystem path relative to the directory where the ONNX
* protobuf model was stored
* - "offset" (optional) - position of byte at which stored data begins. Integer stored as string.
* Offset values SHOULD be multiples 4096 (page size) to enable mmap support.
* - "length" (optional) - number of bytes containing data. Integer stored as string.
* - "checksum" (optional) - SHA1 digest of file specified in under 'location' key.
*
*
* repeated .org.nd4j.ir.StringStringEntryProto external_data = 13;
*/
public org.nd4j.ir.TensorNamespace.StringStringEntryProto.Builder addExternalDataBuilder() {
return getExternalDataFieldBuilder().addBuilder(
org.nd4j.ir.TensorNamespace.StringStringEntryProto.getDefaultInstance());
}
/**
*
* Data can be stored inside the protobuf file using type-specific fields or raw_data.
* Alternatively, raw bytes data can be stored in an external file, using the external_data field.
* external_data stores key-value pairs describing data location. Recognized keys are:
* - "location" (required) - POSIX filesystem path relative to the directory where the ONNX
* protobuf model was stored
* - "offset" (optional) - position of byte at which stored data begins. Integer stored as string.
* Offset values SHOULD be multiples 4096 (page size) to enable mmap support.
* - "length" (optional) - number of bytes containing data. Integer stored as string.
* - "checksum" (optional) - SHA1 digest of file specified in under 'location' key.
*
*
* repeated .org.nd4j.ir.StringStringEntryProto external_data = 13;
*/
public org.nd4j.ir.TensorNamespace.StringStringEntryProto.Builder addExternalDataBuilder(
int index) {
return getExternalDataFieldBuilder().addBuilder(
index, org.nd4j.ir.TensorNamespace.StringStringEntryProto.getDefaultInstance());
}
/**
*
* Data can be stored inside the protobuf file using type-specific fields or raw_data.
* Alternatively, raw bytes data can be stored in an external file, using the external_data field.
* external_data stores key-value pairs describing data location. Recognized keys are:
* - "location" (required) - POSIX filesystem path relative to the directory where the ONNX
* protobuf model was stored
* - "offset" (optional) - position of byte at which stored data begins. Integer stored as string.
* Offset values SHOULD be multiples 4096 (page size) to enable mmap support.
* - "length" (optional) - number of bytes containing data. Integer stored as string.
* - "checksum" (optional) - SHA1 digest of file specified in under 'location' key.
*
*
* repeated .org.nd4j.ir.StringStringEntryProto external_data = 13;
*/
public java.util.List
getExternalDataBuilderList() {
return getExternalDataFieldBuilder().getBuilderList();
}
private org.nd4j.shade.protobuf.RepeatedFieldBuilderV3<
org.nd4j.ir.TensorNamespace.StringStringEntryProto, org.nd4j.ir.TensorNamespace.StringStringEntryProto.Builder, org.nd4j.ir.TensorNamespace.StringStringEntryProtoOrBuilder>
getExternalDataFieldBuilder() {
if (externalDataBuilder_ == null) {
externalDataBuilder_ = new org.nd4j.shade.protobuf.RepeatedFieldBuilderV3<
org.nd4j.ir.TensorNamespace.StringStringEntryProto, org.nd4j.ir.TensorNamespace.StringStringEntryProto.Builder, org.nd4j.ir.TensorNamespace.StringStringEntryProtoOrBuilder>(
externalData_,
((bitField0_ & 0x00000020) != 0),
getParentForChildren(),
isClean());
externalData_ = null;
}
return externalDataBuilder_;
}
private int dataLocation_ = 0;
/**
*
* If value not set, data is stored in raw_data (if set) otherwise in type-specified field.
*
*
* .org.nd4j.ir.TensorProto.DataLocation data_location = 14;
* @return The enum numeric value on the wire for dataLocation.
*/
@java.lang.Override public int getDataLocationValue() {
return dataLocation_;
}
/**
*
* If value not set, data is stored in raw_data (if set) otherwise in type-specified field.
*
*
* .org.nd4j.ir.TensorProto.DataLocation data_location = 14;
* @param value The enum numeric value on the wire for dataLocation to set.
* @return This builder for chaining.
*/
public Builder setDataLocationValue(int value) {
dataLocation_ = value;
onChanged();
return this;
}
/**
*
* If value not set, data is stored in raw_data (if set) otherwise in type-specified field.
*
*
* .org.nd4j.ir.TensorProto.DataLocation data_location = 14;
* @return The dataLocation.
*/
@java.lang.Override
public org.nd4j.ir.TensorNamespace.TensorProto.DataLocation getDataLocation() {
@SuppressWarnings("deprecation")
org.nd4j.ir.TensorNamespace.TensorProto.DataLocation result = org.nd4j.ir.TensorNamespace.TensorProto.DataLocation.valueOf(dataLocation_);
return result == null ? org.nd4j.ir.TensorNamespace.TensorProto.DataLocation.UNRECOGNIZED : result;
}
/**
*
* If value not set, data is stored in raw_data (if set) otherwise in type-specified field.
*
*
* .org.nd4j.ir.TensorProto.DataLocation data_location = 14;
* @param value The dataLocation to set.
* @return This builder for chaining.
*/
public Builder setDataLocation(org.nd4j.ir.TensorNamespace.TensorProto.DataLocation value) {
if (value == null) {
throw new NullPointerException();
}
dataLocation_ = value.getNumber();
onChanged();
return this;
}
/**
*
* If value not set, data is stored in raw_data (if set) otherwise in type-specified field.
*
*
* .org.nd4j.ir.TensorProto.DataLocation data_location = 14;
* @return This builder for chaining.
*/
public Builder clearDataLocation() {
dataLocation_ = 0;
onChanged();
return this;
}
private org.nd4j.shade.protobuf.Internal.DoubleList doubleData_ = emptyDoubleList();
private void ensureDoubleDataIsMutable() {
if (!((bitField0_ & 0x00000040) != 0)) {
doubleData_ = mutableCopy(doubleData_);
bitField0_ |= 0x00000040;
}
}
/**
*
* For double
* Complex128 tensors are encoded as a single array of doubles,
* with the real components appearing in odd numbered positions,
* and the corresponding imaginary component appearing in the
* subsequent even numbered position. (e.g., [1.0 + 2.0i, 3.0 + 4.0i]
* is encoded as [1.0, 2.0 ,3.0 ,4.0]
* When this field is present, the data_type field MUST be DOUBLE or COMPLEX128
*
*
* repeated double double_data = 10 [packed = true];
* @return A list containing the doubleData.
*/
public java.util.List
getDoubleDataList() {
return ((bitField0_ & 0x00000040) != 0) ?
java.util.Collections.unmodifiableList(doubleData_) : doubleData_;
}
/**
*
* For double
* Complex128 tensors are encoded as a single array of doubles,
* with the real components appearing in odd numbered positions,
* and the corresponding imaginary component appearing in the
* subsequent even numbered position. (e.g., [1.0 + 2.0i, 3.0 + 4.0i]
* is encoded as [1.0, 2.0 ,3.0 ,4.0]
* When this field is present, the data_type field MUST be DOUBLE or COMPLEX128
*
*
* repeated double double_data = 10 [packed = true];
* @return The count of doubleData.
*/
public int getDoubleDataCount() {
return doubleData_.size();
}
/**
*
* For double
* Complex128 tensors are encoded as a single array of doubles,
* with the real components appearing in odd numbered positions,
* and the corresponding imaginary component appearing in the
* subsequent even numbered position. (e.g., [1.0 + 2.0i, 3.0 + 4.0i]
* is encoded as [1.0, 2.0 ,3.0 ,4.0]
* When this field is present, the data_type field MUST be DOUBLE or COMPLEX128
*
*
* repeated double double_data = 10 [packed = true];
* @param index The index of the element to return.
* @return The doubleData at the given index.
*/
public double getDoubleData(int index) {
return doubleData_.getDouble(index);
}
/**
*
* For double
* Complex128 tensors are encoded as a single array of doubles,
* with the real components appearing in odd numbered positions,
* and the corresponding imaginary component appearing in the
* subsequent even numbered position. (e.g., [1.0 + 2.0i, 3.0 + 4.0i]
* is encoded as [1.0, 2.0 ,3.0 ,4.0]
* When this field is present, the data_type field MUST be DOUBLE or COMPLEX128
*
*
* repeated double double_data = 10 [packed = true];
* @param index The index to set the value at.
* @param value The doubleData to set.
* @return This builder for chaining.
*/
public Builder setDoubleData(
int index, double value) {
ensureDoubleDataIsMutable();
doubleData_.setDouble(index, value);
onChanged();
return this;
}
/**
*
* For double
* Complex128 tensors are encoded as a single array of doubles,
* with the real components appearing in odd numbered positions,
* and the corresponding imaginary component appearing in the
* subsequent even numbered position. (e.g., [1.0 + 2.0i, 3.0 + 4.0i]
* is encoded as [1.0, 2.0 ,3.0 ,4.0]
* When this field is present, the data_type field MUST be DOUBLE or COMPLEX128
*
*
* repeated double double_data = 10 [packed = true];
* @param value The doubleData to add.
* @return This builder for chaining.
*/
public Builder addDoubleData(double value) {
ensureDoubleDataIsMutable();
doubleData_.addDouble(value);
onChanged();
return this;
}
/**
*
* For double
* Complex128 tensors are encoded as a single array of doubles,
* with the real components appearing in odd numbered positions,
* and the corresponding imaginary component appearing in the
* subsequent even numbered position. (e.g., [1.0 + 2.0i, 3.0 + 4.0i]
* is encoded as [1.0, 2.0 ,3.0 ,4.0]
* When this field is present, the data_type field MUST be DOUBLE or COMPLEX128
*
*
* repeated double double_data = 10 [packed = true];
* @param values The doubleData to add.
* @return This builder for chaining.
*/
public Builder addAllDoubleData(
java.lang.Iterable values) {
ensureDoubleDataIsMutable();
org.nd4j.shade.protobuf.AbstractMessageLite.Builder.addAll(
values, doubleData_);
onChanged();
return this;
}
/**
*
* For double
* Complex128 tensors are encoded as a single array of doubles,
* with the real components appearing in odd numbered positions,
* and the corresponding imaginary component appearing in the
* subsequent even numbered position. (e.g., [1.0 + 2.0i, 3.0 + 4.0i]
* is encoded as [1.0, 2.0 ,3.0 ,4.0]
* When this field is present, the data_type field MUST be DOUBLE or COMPLEX128
*
*
* repeated double double_data = 10 [packed = true];
* @return This builder for chaining.
*/
public Builder clearDoubleData() {
doubleData_ = emptyDoubleList();
bitField0_ = (bitField0_ & ~0x00000040);
onChanged();
return this;
}
private org.nd4j.shade.protobuf.Internal.LongList uint64Data_ = emptyLongList();
private void ensureUint64DataIsMutable() {
if (!((bitField0_ & 0x00000080) != 0)) {
uint64Data_ = mutableCopy(uint64Data_);
bitField0_ |= 0x00000080;
}
}
/**
*
* For uint64 and uint32 values
* When this field is present, the data_type field MUST be
* UINT32 or UINT64
*
*
* repeated uint64 uint64_data = 11 [packed = true];
* @return A list containing the uint64Data.
*/
public java.util.List
getUint64DataList() {
return ((bitField0_ & 0x00000080) != 0) ?
java.util.Collections.unmodifiableList(uint64Data_) : uint64Data_;
}
/**
*
* For uint64 and uint32 values
* When this field is present, the data_type field MUST be
* UINT32 or UINT64
*
*
* repeated uint64 uint64_data = 11 [packed = true];
* @return The count of uint64Data.
*/
public int getUint64DataCount() {
return uint64Data_.size();
}
/**
*
* For uint64 and uint32 values
* When this field is present, the data_type field MUST be
* UINT32 or UINT64
*
*
* repeated uint64 uint64_data = 11 [packed = true];
* @param index The index of the element to return.
* @return The uint64Data at the given index.
*/
public long getUint64Data(int index) {
return uint64Data_.getLong(index);
}
/**
*
* For uint64 and uint32 values
* When this field is present, the data_type field MUST be
* UINT32 or UINT64
*
*
* repeated uint64 uint64_data = 11 [packed = true];
* @param index The index to set the value at.
* @param value The uint64Data to set.
* @return This builder for chaining.
*/
public Builder setUint64Data(
int index, long value) {
ensureUint64DataIsMutable();
uint64Data_.setLong(index, value);
onChanged();
return this;
}
/**
*
* For uint64 and uint32 values
* When this field is present, the data_type field MUST be
* UINT32 or UINT64
*
*
* repeated uint64 uint64_data = 11 [packed = true];
* @param value The uint64Data to add.
* @return This builder for chaining.
*/
public Builder addUint64Data(long value) {
ensureUint64DataIsMutable();
uint64Data_.addLong(value);
onChanged();
return this;
}
/**
*
* For uint64 and uint32 values
* When this field is present, the data_type field MUST be
* UINT32 or UINT64
*
*
* repeated uint64 uint64_data = 11 [packed = true];
* @param values The uint64Data to add.
* @return This builder for chaining.
*/
public Builder addAllUint64Data(
java.lang.Iterable values) {
ensureUint64DataIsMutable();
org.nd4j.shade.protobuf.AbstractMessageLite.Builder.addAll(
values, uint64Data_);
onChanged();
return this;
}
/**
*
* For uint64 and uint32 values
* When this field is present, the data_type field MUST be
* UINT32 or UINT64
*
*
* repeated uint64 uint64_data = 11 [packed = true];
* @return This builder for chaining.
*/
public Builder clearUint64Data() {
uint64Data_ = emptyLongList();
bitField0_ = (bitField0_ & ~0x00000080);
onChanged();
return this;
}
private org.nd4j.shade.protobuf.Internal.IntList halfVal_ = emptyIntList();
private void ensureHalfValIsMutable() {
if (!((bitField0_ & 0x00000100) != 0)) {
halfVal_ = mutableCopy(halfVal_);
bitField0_ |= 0x00000100;
}
}
/**
*
* For half values (tensorflow compatibility)
*
*
* repeated int32 half_val = 15 [packed = true];
* @return A list containing the halfVal.
*/
public java.util.List
getHalfValList() {
return ((bitField0_ & 0x00000100) != 0) ?
java.util.Collections.unmodifiableList(halfVal_) : halfVal_;
}
/**
*
* For half values (tensorflow compatibility)
*
*
* repeated int32 half_val = 15 [packed = true];
* @return The count of halfVal.
*/
public int getHalfValCount() {
return halfVal_.size();
}
/**
*
* For half values (tensorflow compatibility)
*
*
* repeated int32 half_val = 15 [packed = true];
* @param index The index of the element to return.
* @return The halfVal at the given index.
*/
public int getHalfVal(int index) {
return halfVal_.getInt(index);
}
/**
*
* For half values (tensorflow compatibility)
*
*
* repeated int32 half_val = 15 [packed = true];
* @param index The index to set the value at.
* @param value The halfVal to set.
* @return This builder for chaining.
*/
public Builder setHalfVal(
int index, int value) {
ensureHalfValIsMutable();
halfVal_.setInt(index, value);
onChanged();
return this;
}
/**
*
* For half values (tensorflow compatibility)
*
*
* repeated int32 half_val = 15 [packed = true];
* @param value The halfVal to add.
* @return This builder for chaining.
*/
public Builder addHalfVal(int value) {
ensureHalfValIsMutable();
halfVal_.addInt(value);
onChanged();
return this;
}
/**
*
* For half values (tensorflow compatibility)
*
*
* repeated int32 half_val = 15 [packed = true];
* @param values The halfVal to add.
* @return This builder for chaining.
*/
public Builder addAllHalfVal(
java.lang.Iterable values) {
ensureHalfValIsMutable();
org.nd4j.shade.protobuf.AbstractMessageLite.Builder.addAll(
values, halfVal_);
onChanged();
return this;
}
/**
*
* For half values (tensorflow compatibility)
*
*
* repeated int32 half_val = 15 [packed = true];
* @return This builder for chaining.
*/
public Builder clearHalfVal() {
halfVal_ = emptyIntList();
bitField0_ = (bitField0_ & ~0x00000100);
onChanged();
return this;
}
private org.nd4j.shade.protobuf.Internal.BooleanList boolVal_ = emptyBooleanList();
private void ensureBoolValIsMutable() {
if (!((bitField0_ & 0x00000200) != 0)) {
boolVal_ = mutableCopy(boolVal_);
bitField0_ |= 0x00000200;
}
}
/**
*
*boolean values
*
*
* repeated bool bool_val = 16 [packed = true];
* @return A list containing the boolVal.
*/
public java.util.List
getBoolValList() {
return ((bitField0_ & 0x00000200) != 0) ?
java.util.Collections.unmodifiableList(boolVal_) : boolVal_;
}
/**
*
*boolean values
*
*
* repeated bool bool_val = 16 [packed = true];
* @return The count of boolVal.
*/
public int getBoolValCount() {
return boolVal_.size();
}
/**
*
*boolean values
*
*
* repeated bool bool_val = 16 [packed = true];
* @param index The index of the element to return.
* @return The boolVal at the given index.
*/
public boolean getBoolVal(int index) {
return boolVal_.getBoolean(index);
}
/**
*
*boolean values
*
*
* repeated bool bool_val = 16 [packed = true];
* @param index The index to set the value at.
* @param value The boolVal to set.
* @return This builder for chaining.
*/
public Builder setBoolVal(
int index, boolean value) {
ensureBoolValIsMutable();
boolVal_.setBoolean(index, value);
onChanged();
return this;
}
/**
*
*boolean values
*
*
* repeated bool bool_val = 16 [packed = true];
* @param value The boolVal to add.
* @return This builder for chaining.
*/
public Builder addBoolVal(boolean value) {
ensureBoolValIsMutable();
boolVal_.addBoolean(value);
onChanged();
return this;
}
/**
*
*boolean values
*
*
* repeated bool bool_val = 16 [packed = true];
* @param values The boolVal to add.
* @return This builder for chaining.
*/
public Builder addAllBoolVal(
java.lang.Iterable values) {
ensureBoolValIsMutable();
org.nd4j.shade.protobuf.AbstractMessageLite.Builder.addAll(
values, boolVal_);
onChanged();
return this;
}
/**
*
*boolean values
*
*
* repeated bool bool_val = 16 [packed = true];
* @return This builder for chaining.
*/
public Builder clearBoolVal() {
boolVal_ = emptyBooleanList();
bitField0_ = (bitField0_ & ~0x00000200);
onChanged();
return this;
}
@java.lang.Override
public final Builder setUnknownFields(
final org.nd4j.shade.protobuf.UnknownFieldSet unknownFields) {
return super.setUnknownFields(unknownFields);
}
@java.lang.Override
public final Builder mergeUnknownFields(
final org.nd4j.shade.protobuf.UnknownFieldSet unknownFields) {
return super.mergeUnknownFields(unknownFields);
}
// @@protoc_insertion_point(builder_scope:org.nd4j.ir.TensorProto)
}
// @@protoc_insertion_point(class_scope:org.nd4j.ir.TensorProto)
private static final org.nd4j.ir.TensorNamespace.TensorProto DEFAULT_INSTANCE;
static {
DEFAULT_INSTANCE = new org.nd4j.ir.TensorNamespace.TensorProto();
}
public static org.nd4j.ir.TensorNamespace.TensorProto getDefaultInstance() {
return DEFAULT_INSTANCE;
}
private static final org.nd4j.shade.protobuf.Parser
PARSER = new org.nd4j.shade.protobuf.AbstractParser() {
@java.lang.Override
public TensorProto parsePartialFrom(
org.nd4j.shade.protobuf.CodedInputStream input,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
return new TensorProto(input, extensionRegistry);
}
};
public static org.nd4j.shade.protobuf.Parser parser() {
return PARSER;
}
@java.lang.Override
public org.nd4j.shade.protobuf.Parser getParserForType() {
return PARSER;
}
@java.lang.Override
public org.nd4j.ir.TensorNamespace.TensorProto getDefaultInstanceForType() {
return DEFAULT_INSTANCE;
}
}
private static final org.nd4j.shade.protobuf.Descriptors.Descriptor
internal_static_org_nd4j_ir_StringStringEntryProto_descriptor;
private static final
org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
internal_static_org_nd4j_ir_StringStringEntryProto_fieldAccessorTable;
private static final org.nd4j.shade.protobuf.Descriptors.Descriptor
internal_static_org_nd4j_ir_TypeProto_descriptor;
private static final
org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
internal_static_org_nd4j_ir_TypeProto_fieldAccessorTable;
private static final org.nd4j.shade.protobuf.Descriptors.Descriptor
internal_static_org_nd4j_ir_TypeProto_TensorDescriptor_descriptor;
private static final
org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
internal_static_org_nd4j_ir_TypeProto_TensorDescriptor_fieldAccessorTable;
private static final org.nd4j.shade.protobuf.Descriptors.Descriptor
internal_static_org_nd4j_ir_TensorShapeProto_descriptor;
private static final
org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
internal_static_org_nd4j_ir_TensorShapeProto_fieldAccessorTable;
private static final org.nd4j.shade.protobuf.Descriptors.Descriptor
internal_static_org_nd4j_ir_TensorShapeProto_Dimension_descriptor;
private static final
org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
internal_static_org_nd4j_ir_TensorShapeProto_Dimension_fieldAccessorTable;
private static final org.nd4j.shade.protobuf.Descriptors.Descriptor
internal_static_org_nd4j_ir_ValueInfoProto_descriptor;
private static final
org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
internal_static_org_nd4j_ir_ValueInfoProto_fieldAccessorTable;
private static final org.nd4j.shade.protobuf.Descriptors.Descriptor
internal_static_org_nd4j_ir_TensorProto_descriptor;
private static final
org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
internal_static_org_nd4j_ir_TensorProto_fieldAccessorTable;
private static final org.nd4j.shade.protobuf.Descriptors.Descriptor
internal_static_org_nd4j_ir_TensorProto_Segment_descriptor;
private static final
org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
internal_static_org_nd4j_ir_TensorProto_Segment_fieldAccessorTable;
public static org.nd4j.shade.protobuf.Descriptors.FileDescriptor
getDescriptor() {
return descriptor;
}
private static org.nd4j.shade.protobuf.Descriptors.FileDescriptor
descriptor;
static {
java.lang.String[] descriptorData = {
"\n\014tensor.proto\022\013org.nd4j.ir\"4\n\026StringStr" +
"ingEntryProto\022\013\n\003key\030\001 \001(\t\022\r\n\005value\030\002 \001(" +
"\t\"\300\001\n\tTypeProto\022>\n\013tensor_type\030\001 \001(\0132\'.o" +
"rg.nd4j.ir.TypeProto.TensorDescriptorH\000\032" +
"j\n\020TensorDescriptor\022(\n\telem_type\030\001 \001(\0162\025" +
".org.nd4j.ir.DataType\022,\n\005shape\030\002 \001(\0132\035.o" +
"rg.nd4j.ir.TensorShapeProtoB\007\n\005value\"\210\001\n" +
"\020TensorShapeProto\0224\n\003dim\030\001 \003(\0132\'.org.nd4" +
"j.ir.TensorShapeProto.Dimension\032>\n\tDimen" +
"sion\022\023\n\tdim_value\030\001 \001(\003H\000\022\023\n\tdim_param\030\002" +
" \001(\tH\000B\007\n\005value\"X\n\016ValueInfoProto\022\014\n\004nam" +
"e\030\001 \001(\t\022$\n\004type\030\002 \001(\0132\026.org.nd4j.ir.Type" +
"Proto\022\022\n\ndoc_string\030\003 \001(\t\"\234\004\n\013TensorProt" +
"o\022\014\n\004dims\030\001 \003(\003\022\021\n\tdata_type\030\002 \001(\005\0221\n\007se" +
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};
descriptor = org.nd4j.shade.protobuf.Descriptors.FileDescriptor
.internalBuildGeneratedFileFrom(descriptorData,
new org.nd4j.shade.protobuf.Descriptors.FileDescriptor[] {
});
internal_static_org_nd4j_ir_StringStringEntryProto_descriptor =
getDescriptor().getMessageTypes().get(0);
internal_static_org_nd4j_ir_StringStringEntryProto_fieldAccessorTable = new
org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable(
internal_static_org_nd4j_ir_StringStringEntryProto_descriptor,
new java.lang.String[] { "Key", "Value", });
internal_static_org_nd4j_ir_TypeProto_descriptor =
getDescriptor().getMessageTypes().get(1);
internal_static_org_nd4j_ir_TypeProto_fieldAccessorTable = new
org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable(
internal_static_org_nd4j_ir_TypeProto_descriptor,
new java.lang.String[] { "TensorType", "Value", });
internal_static_org_nd4j_ir_TypeProto_TensorDescriptor_descriptor =
internal_static_org_nd4j_ir_TypeProto_descriptor.getNestedTypes().get(0);
internal_static_org_nd4j_ir_TypeProto_TensorDescriptor_fieldAccessorTable = new
org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable(
internal_static_org_nd4j_ir_TypeProto_TensorDescriptor_descriptor,
new java.lang.String[] { "ElemType", "Shape", });
internal_static_org_nd4j_ir_TensorShapeProto_descriptor =
getDescriptor().getMessageTypes().get(2);
internal_static_org_nd4j_ir_TensorShapeProto_fieldAccessorTable = new
org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable(
internal_static_org_nd4j_ir_TensorShapeProto_descriptor,
new java.lang.String[] { "Dim", });
internal_static_org_nd4j_ir_TensorShapeProto_Dimension_descriptor =
internal_static_org_nd4j_ir_TensorShapeProto_descriptor.getNestedTypes().get(0);
internal_static_org_nd4j_ir_TensorShapeProto_Dimension_fieldAccessorTable = new
org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable(
internal_static_org_nd4j_ir_TensorShapeProto_Dimension_descriptor,
new java.lang.String[] { "DimValue", "DimParam", "Value", });
internal_static_org_nd4j_ir_ValueInfoProto_descriptor =
getDescriptor().getMessageTypes().get(3);
internal_static_org_nd4j_ir_ValueInfoProto_fieldAccessorTable = new
org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable(
internal_static_org_nd4j_ir_ValueInfoProto_descriptor,
new java.lang.String[] { "Name", "Type", "DocString", });
internal_static_org_nd4j_ir_TensorProto_descriptor =
getDescriptor().getMessageTypes().get(4);
internal_static_org_nd4j_ir_TensorProto_fieldAccessorTable = new
org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable(
internal_static_org_nd4j_ir_TensorProto_descriptor,
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internal_static_org_nd4j_ir_TensorProto_Segment_descriptor =
internal_static_org_nd4j_ir_TensorProto_descriptor.getNestedTypes().get(0);
internal_static_org_nd4j_ir_TensorProto_Segment_fieldAccessorTable = new
org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable(
internal_static_org_nd4j_ir_TensorProto_Segment_descriptor,
new java.lang.String[] { "Begin", "End", });
}
// @@protoc_insertion_point(outer_class_scope)
}