com.intel.analytics.bigdl.ppml.fl.generated.FlBaseProto Maven / Gradle / Ivy
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// Generated by the protocol buffer compiler. DO NOT EDIT!
// source: fl_base.proto
package com.intel.analytics.bigdl.ppml.fl.generated;
public final class FlBaseProto {
private FlBaseProto() {}
public static void registerAllExtensions(
com.google.protobuf.ExtensionRegistryLite registry) {
}
public static void registerAllExtensions(
com.google.protobuf.ExtensionRegistry registry) {
registerAllExtensions(
(com.google.protobuf.ExtensionRegistryLite) registry);
}
/**
* Protobuf enum {@code SIGNAL}
*/
public enum SIGNAL
implements com.google.protobuf.ProtocolMessageEnum {
/**
* SUCCESS = 0;
*/
SUCCESS(0),
/**
* WAIT = 1;
*/
WAIT(1),
/**
* TIMEOUT = 2;
*/
TIMEOUT(2),
/**
* EMPTY_INPUT = 3;
*/
EMPTY_INPUT(3),
/**
* ERROR = 4;
*/
ERROR(4),
UNRECOGNIZED(-1),
;
/**
* SUCCESS = 0;
*/
public static final int SUCCESS_VALUE = 0;
/**
* WAIT = 1;
*/
public static final int WAIT_VALUE = 1;
/**
* TIMEOUT = 2;
*/
public static final int TIMEOUT_VALUE = 2;
/**
* EMPTY_INPUT = 3;
*/
public static final int EMPTY_INPUT_VALUE = 3;
/**
* ERROR = 4;
*/
public static final int ERROR_VALUE = 4;
public final int getNumber() {
if (this == UNRECOGNIZED) {
throw new java.lang.IllegalArgumentException(
"Can't get the number of an unknown enum value.");
}
return value;
}
/**
* @param value The numeric wire value of the corresponding enum entry.
* @return The enum associated with the given numeric wire value.
* @deprecated Use {@link #forNumber(int)} instead.
*/
@java.lang.Deprecated
public static SIGNAL valueOf(int value) {
return forNumber(value);
}
/**
* @param value The numeric wire value of the corresponding enum entry.
* @return The enum associated with the given numeric wire value.
*/
public static SIGNAL forNumber(int value) {
switch (value) {
case 0: return SUCCESS;
case 1: return WAIT;
case 2: return TIMEOUT;
case 3: return EMPTY_INPUT;
case 4: return ERROR;
default: return null;
}
}
public static com.google.protobuf.Internal.EnumLiteMap
internalGetValueMap() {
return internalValueMap;
}
private static final com.google.protobuf.Internal.EnumLiteMap<
SIGNAL> internalValueMap =
new com.google.protobuf.Internal.EnumLiteMap() {
public SIGNAL findValueByNumber(int number) {
return SIGNAL.forNumber(number);
}
};
public final com.google.protobuf.Descriptors.EnumValueDescriptor
getValueDescriptor() {
if (this == UNRECOGNIZED) {
throw new java.lang.IllegalStateException(
"Can't get the descriptor of an unrecognized enum value.");
}
return getDescriptor().getValues().get(ordinal());
}
public final com.google.protobuf.Descriptors.EnumDescriptor
getDescriptorForType() {
return getDescriptor();
}
public static final com.google.protobuf.Descriptors.EnumDescriptor
getDescriptor() {
return com.intel.analytics.bigdl.ppml.fl.generated.FlBaseProto.getDescriptor().getEnumTypes().get(0);
}
private static final SIGNAL[] VALUES = values();
public static SIGNAL valueOf(
com.google.protobuf.Descriptors.EnumValueDescriptor desc) {
if (desc.getType() != getDescriptor()) {
throw new java.lang.IllegalArgumentException(
"EnumValueDescriptor is not for this type.");
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if (desc.getIndex() == -1) {
return UNRECOGNIZED;
}
return VALUES[desc.getIndex()];
}
private final int value;
private SIGNAL(int value) {
this.value = value;
}
// @@protoc_insertion_point(enum_scope:SIGNAL)
}
public interface FloatTensorOrBuilder extends
// @@protoc_insertion_point(interface_extends:FloatTensor)
com.google.protobuf.MessageOrBuilder {
/**
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* @return A list containing the shape.
*/
java.util.List getShapeList();
/**
* repeated int32 shape = 1;
* @return The count of shape.
*/
int getShapeCount();
/**
* repeated int32 shape = 1;
* @param index The index of the element to return.
* @return The shape at the given index.
*/
int getShape(int index);
/**
* repeated float tensor = 2;
* @return A list containing the tensor.
*/
java.util.List getTensorList();
/**
* repeated float tensor = 2;
* @return The count of tensor.
*/
int getTensorCount();
/**
* repeated float tensor = 2;
* @param index The index of the element to return.
* @return The tensor at the given index.
*/
float getTensor(int index);
/**
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* @return The dtype.
*/
java.lang.String getDtype();
/**
* string dtype = 3;
* @return The bytes for dtype.
*/
com.google.protobuf.ByteString
getDtypeBytes();
}
/**
* Protobuf type {@code FloatTensor}
*/
public static final class FloatTensor extends
com.google.protobuf.GeneratedMessageV3 implements
// @@protoc_insertion_point(message_implements:FloatTensor)
FloatTensorOrBuilder {
private static final long serialVersionUID = 0L;
// Use FloatTensor.newBuilder() to construct.
private FloatTensor(com.google.protobuf.GeneratedMessageV3.Builder builder) {
super(builder);
}
private FloatTensor() {
shape_ = emptyIntList();
tensor_ = emptyFloatList();
dtype_ = "";
}
@java.lang.Override
@SuppressWarnings({"unused"})
protected java.lang.Object newInstance(
UnusedPrivateParameter unused) {
return new FloatTensor();
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getUnknownFields() {
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private FloatTensor(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
this();
if (extensionRegistry == null) {
throw new java.lang.NullPointerException();
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com.google.protobuf.UnknownFieldSet.Builder unknownFields =
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mutable_bitField0_ |= 0x00000001;
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input.popLimit(limit);
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tensor_.addFloat(input.readFloat());
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input.popLimit(limit);
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throw e.setUnfinishedMessage(this);
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throw new com.google.protobuf.InvalidProtocolBufferException(
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shape_.makeImmutable(); // C
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if (((mutable_bitField0_ & 0x00000002) != 0)) {
tensor_.makeImmutable(); // C
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this.unknownFields = unknownFields.build();
makeExtensionsImmutable();
}
}
public static final com.google.protobuf.Descriptors.Descriptor
getDescriptor() {
return com.intel.analytics.bigdl.ppml.fl.generated.FlBaseProto.internal_static_FloatTensor_descriptor;
}
@java.lang.Override
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internalGetFieldAccessorTable() {
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com.intel.analytics.bigdl.ppml.fl.generated.FlBaseProto.FloatTensor.class, com.intel.analytics.bigdl.ppml.fl.generated.FlBaseProto.FloatTensor.Builder.class);
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public static final int SHAPE_FIELD_NUMBER = 1;
private com.google.protobuf.Internal.IntList shape_;
/**
* repeated int32 shape = 1;
* @return A list containing the shape.
*/
@java.lang.Override
public java.util.List
getShapeList() {
return shape_;
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/**
* repeated int32 shape = 1;
* @return The count of shape.
*/
public int getShapeCount() {
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/**
* repeated int32 shape = 1;
* @param index The index of the element to return.
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*/
public int getShape(int index) {
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private int shapeMemoizedSerializedSize = -1;
public static final int TENSOR_FIELD_NUMBER = 2;
private com.google.protobuf.Internal.FloatList tensor_;
/**
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@java.lang.Override
public java.util.List
getTensorList() {
return tensor_;
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/**
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*/
public int getTensorCount() {
return tensor_.size();
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/**
* repeated float tensor = 2;
* @param index The index of the element to return.
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*/
public float getTensor(int index) {
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private int tensorMemoizedSerializedSize = -1;
public static final int DTYPE_FIELD_NUMBER = 3;
private volatile java.lang.Object dtype_;
/**
* string dtype = 3;
* @return The dtype.
*/
@java.lang.Override
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com.google.protobuf.ByteString bs =
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java.lang.String s = bs.toStringUtf8();
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return s;
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/**
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@java.lang.Override
public com.google.protobuf.ByteString
getDtypeBytes() {
java.lang.Object ref = dtype_;
if (ref instanceof java.lang.String) {
com.google.protobuf.ByteString b =
com.google.protobuf.ByteString.copyFromUtf8(
(java.lang.String) ref);
dtype_ = b;
return b;
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memoizedIsInitialized = 1;
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getSerializedSize();
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for (int i = 0; i < shape_.size(); i++) {
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if (getTensorList().size() > 0) {
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for (int i = 0; i < tensor_.size(); i++) {
output.writeFloatNoTag(tensor_.getFloat(i));
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if (!getDtypeBytes().isEmpty()) {
com.google.protobuf.GeneratedMessageV3.writeString(output, 3, dtype_);
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unknownFields.writeTo(output);
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@java.lang.Override
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int size = memoizedSize;
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size = 0;
{
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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 com.intel.analytics.bigdl.ppml.fl.generated.FlBaseProto.FloatTensor)) {
return super.equals(obj);
}
com.intel.analytics.bigdl.ppml.fl.generated.FlBaseProto.FloatTensor other = (com.intel.analytics.bigdl.ppml.fl.generated.FlBaseProto.FloatTensor) obj;
if (!getShapeList()
.equals(other.getShapeList())) return false;
if (!getTensorList()
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if (!getDtype()
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if (!unknownFields.equals(other.unknownFields)) return false;
return true;
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@java.lang.Override
public int hashCode() {
if (memoizedHashCode != 0) {
return memoizedHashCode;
}
int hash = 41;
hash = (19 * hash) + getDescriptor().hashCode();
if (getShapeCount() > 0) {
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hash = (53 * hash) + getShapeList().hashCode();
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public static com.intel.analytics.bigdl.ppml.fl.generated.FlBaseProto.FloatTensor parseFrom(
java.nio.ByteBuffer data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static com.intel.analytics.bigdl.ppml.fl.generated.FlBaseProto.FloatTensor parseFrom(
java.nio.ByteBuffer data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static com.intel.analytics.bigdl.ppml.fl.generated.FlBaseProto.FloatTensor parseFrom(
com.google.protobuf.ByteString data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static com.intel.analytics.bigdl.ppml.fl.generated.FlBaseProto.FloatTensor parseFrom(
com.google.protobuf.ByteString data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static com.intel.analytics.bigdl.ppml.fl.generated.FlBaseProto.FloatTensor parseFrom(byte[] data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static com.intel.analytics.bigdl.ppml.fl.generated.FlBaseProto.FloatTensor parseFrom(
byte[] data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static com.intel.analytics.bigdl.ppml.fl.generated.FlBaseProto.FloatTensor parseFrom(java.io.InputStream input)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3
.parseWithIOException(PARSER, input);
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public static com.intel.analytics.bigdl.ppml.fl.generated.FlBaseProto.FloatTensor parseFrom(
java.io.InputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3
.parseWithIOException(PARSER, input, extensionRegistry);
}
public static com.intel.analytics.bigdl.ppml.fl.generated.FlBaseProto.FloatTensor parseDelimitedFrom(java.io.InputStream input)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3
.parseDelimitedWithIOException(PARSER, input);
}
public static com.intel.analytics.bigdl.ppml.fl.generated.FlBaseProto.FloatTensor parseDelimitedFrom(
java.io.InputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3
.parseDelimitedWithIOException(PARSER, input, extensionRegistry);
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public static com.intel.analytics.bigdl.ppml.fl.generated.FlBaseProto.FloatTensor parseFrom(
com.google.protobuf.CodedInputStream input)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3
.parseWithIOException(PARSER, input);
}
public static com.intel.analytics.bigdl.ppml.fl.generated.FlBaseProto.FloatTensor parseFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return com.google.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(com.intel.analytics.bigdl.ppml.fl.generated.FlBaseProto.FloatTensor 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(
com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
Builder builder = new Builder(parent);
return builder;
}
/**
* Protobuf type {@code FloatTensor}
*/
public static final class Builder extends
com.google.protobuf.GeneratedMessageV3.Builder implements
// @@protoc_insertion_point(builder_implements:FloatTensor)
com.intel.analytics.bigdl.ppml.fl.generated.FlBaseProto.FloatTensorOrBuilder {
public static final com.google.protobuf.Descriptors.Descriptor
getDescriptor() {
return com.intel.analytics.bigdl.ppml.fl.generated.FlBaseProto.internal_static_FloatTensor_descriptor;
}
@java.lang.Override
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internalGetFieldAccessorTable() {
return com.intel.analytics.bigdl.ppml.fl.generated.FlBaseProto.internal_static_FloatTensor_fieldAccessorTable
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com.intel.analytics.bigdl.ppml.fl.generated.FlBaseProto.FloatTensor.class, com.intel.analytics.bigdl.ppml.fl.generated.FlBaseProto.FloatTensor.Builder.class);
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// Construct using com.intel.analytics.bigdl.ppml.fl.generated.FlBaseProto.FloatTensor.newBuilder()
private Builder() {
maybeForceBuilderInitialization();
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private Builder(
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tensor_ = emptyFloatList();
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getDescriptorForType() {
return com.intel.analytics.bigdl.ppml.fl.generated.FlBaseProto.internal_static_FloatTensor_descriptor;
}
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public com.intel.analytics.bigdl.ppml.fl.generated.FlBaseProto.FloatTensor getDefaultInstanceForType() {
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}
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public com.intel.analytics.bigdl.ppml.fl.generated.FlBaseProto.FloatTensor build() {
com.intel.analytics.bigdl.ppml.fl.generated.FlBaseProto.FloatTensor result = buildPartial();
if (!result.isInitialized()) {
throw newUninitializedMessageException(result);
}
return result;
}
@java.lang.Override
public com.intel.analytics.bigdl.ppml.fl.generated.FlBaseProto.FloatTensor buildPartial() {
com.intel.analytics.bigdl.ppml.fl.generated.FlBaseProto.FloatTensor result = new com.intel.analytics.bigdl.ppml.fl.generated.FlBaseProto.FloatTensor(this);
int from_bitField0_ = bitField0_;
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result.dtype_ = dtype_;
onBuilt();
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com.google.protobuf.Descriptors.FieldDescriptor field,
java.lang.Object value) {
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com.google.protobuf.Descriptors.FieldDescriptor field) {
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com.google.protobuf.Descriptors.FieldDescriptor field,
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@java.lang.Override
public Builder mergeFrom(com.google.protobuf.Message other) {
if (other instanceof com.intel.analytics.bigdl.ppml.fl.generated.FlBaseProto.FloatTensor) {
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super.mergeFrom(other);
return this;
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}
public Builder mergeFrom(com.intel.analytics.bigdl.ppml.fl.generated.FlBaseProto.FloatTensor other) {
if (other == com.intel.analytics.bigdl.ppml.fl.generated.FlBaseProto.FloatTensor.getDefaultInstance()) return this;
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onChanged();
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tensor_.addAll(other.tensor_);
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onChanged();
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onChanged();
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this.mergeUnknownFields(other.unknownFields);
onChanged();
return this;
}
@java.lang.Override
public final boolean isInitialized() {
return true;
}
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public Builder mergeFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
com.intel.analytics.bigdl.ppml.fl.generated.FlBaseProto.FloatTensor parsedMessage = null;
try {
parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
} catch (com.google.protobuf.InvalidProtocolBufferException e) {
parsedMessage = (com.intel.analytics.bigdl.ppml.fl.generated.FlBaseProto.FloatTensor) e.getUnfinishedMessage();
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return this;
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private int bitField0_;
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/**
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/**
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* @return This builder for chaining.
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// @@protoc_insertion_point(builder_scope:FloatTensor)
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com.intel.analytics.bigdl.ppml.fl.generated.FlBaseProto.MetaDataOrBuilder getMetaDataOrBuilder();
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com.intel.analytics.bigdl.ppml.fl.generated.FlBaseProto.FloatTensor getTensorMapOrDefault(
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com.intel.analytics.bigdl.ppml.fl.generated.FlBaseProto.FloatTensor getTensorMapOrThrow(
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com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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/**
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// @@protoc_insertion_point(builder_implements:TensorMap)
com.intel.analytics.bigdl.ppml.fl.generated.FlBaseProto.TensorMapOrBuilder {
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