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* Describes the type of one or more tensors that are accepted/produced
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*
* Describes the type of one or more tensors that are accepted/produced
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* * For a sequence of tensors with the same type: the "number_attr"
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* * For a single tensor: either the "type" field is set or the
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* * For a sequence of tensors with the same type: the "number_attr"
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/**
*
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/**
*
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*
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* * For a single tensor: either the "type" field is set or the
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*
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private static final com.google.protobuf.Parser
PARSER = new com.google.protobuf.AbstractParser() {
public AttrDef parsePartialFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return new AttrDef(input, extensionRegistry);
}
};
public static com.google.protobuf.Parser parser() {
return PARSER;
}
@java.lang.Override
public com.google.protobuf.Parser getParserForType() {
return PARSER;
}
public org.tensorflow.framework.OpDef.AttrDef getDefaultInstanceForType() {
return DEFAULT_INSTANCE;
}
}
private int bitField0_;
public static final int NAME_FIELD_NUMBER = 1;
private volatile java.lang.Object name_;
/**
*
* Op names starting with an underscore are reserved for internal use.
* Names should be CamelCase and match the regexp "[A-Z][a-zA-Z0-9_]*".
*
* Additional, longer human-readable description of what the Op does.
*
*
* string description = 6;
*/
public com.google.protobuf.ByteString
getDescriptionBytes() {
java.lang.Object ref = description_;
if (ref instanceof java.lang.String) {
com.google.protobuf.ByteString b =
com.google.protobuf.ByteString.copyFromUtf8(
(java.lang.String) ref);
description_ = b;
return b;
} else {
return (com.google.protobuf.ByteString) ref;
}
}
public static final int IS_COMMUTATIVE_FIELD_NUMBER = 18;
private boolean isCommutative_;
/**
*
* True if the operation is commutative ("op(a,b) == op(b,a)" for all inputs)
*
*
* bool is_commutative = 18;
*/
public boolean getIsCommutative() {
return isCommutative_;
}
public static final int IS_AGGREGATE_FIELD_NUMBER = 16;
private boolean isAggregate_;
/**
*
* If is_aggregate is true, then this operation accepts N >= 2
* inputs and produces 1 output all of the same type. Should be
* associative and commutative, and produce output with the same
* shape as the input. The optimizer may replace an aggregate op
* taking input from multiple devices with a tree of aggregate ops
* that aggregate locally within each device (and possibly within
* groups of nearby devices) before communicating.
* TODO(josh11b): Implement that optimization.
*
*
* bool is_aggregate = 16;
*/
public boolean getIsAggregate() {
return isAggregate_;
}
public static final int IS_STATEFUL_FIELD_NUMBER = 17;
private boolean isStateful_;
/**
*
* By default Ops may be moved between devices. Stateful ops should
* either not be moved, or should only be moved if that state can also
* be moved (e.g. via some sort of save / restore).
* Stateful ops are guaranteed to never be optimized away by Common
* Subexpression Elimination (CSE).
*
*
* bool is_stateful = 17;
*/
public boolean getIsStateful() {
return isStateful_;
}
public static final int ALLOWS_UNINITIALIZED_INPUT_FIELD_NUMBER = 19;
private boolean allowsUninitializedInput_;
/**
*
* By default, all inputs to an Op must be initialized Tensors. Ops
* that may initialize tensors for the first time should set this
* field to true, to allow the Op to take an uninitialized Tensor as
* input.
*
*
* bool allows_uninitialized_input = 19;
*/
public boolean getAllowsUninitializedInput() {
return allowsUninitializedInput_;
}
private byte memoizedIsInitialized = -1;
public final boolean isInitialized() {
byte isInitialized = memoizedIsInitialized;
if (isInitialized == 1) return true;
if (isInitialized == 0) return false;
memoizedIsInitialized = 1;
return true;
}
public void writeTo(com.google.protobuf.CodedOutputStream output)
throws java.io.IOException {
if (!getNameBytes().isEmpty()) {
com.google.protobuf.GeneratedMessageV3.writeString(output, 1, name_);
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for (int i = 0; i < inputArg_.size(); i++) {
output.writeMessage(2, inputArg_.get(i));
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for (int i = 0; i < outputArg_.size(); i++) {
output.writeMessage(3, outputArg_.get(i));
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for (int i = 0; i < attr_.size(); i++) {
output.writeMessage(4, attr_.get(i));
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if (!getSummaryBytes().isEmpty()) {
com.google.protobuf.GeneratedMessageV3.writeString(output, 5, summary_);
}
if (!getDescriptionBytes().isEmpty()) {
com.google.protobuf.GeneratedMessageV3.writeString(output, 6, description_);
}
if (deprecation_ != null) {
output.writeMessage(8, getDeprecation());
}
if (isAggregate_ != false) {
output.writeBool(16, isAggregate_);
}
if (isStateful_ != false) {
output.writeBool(17, isStateful_);
}
if (isCommutative_ != false) {
output.writeBool(18, isCommutative_);
}
if (allowsUninitializedInput_ != false) {
output.writeBool(19, allowsUninitializedInput_);
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public int getSerializedSize() {
int size = memoizedSize;
if (size != -1) return size;
size = 0;
if (!getNameBytes().isEmpty()) {
size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, name_);
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for (int i = 0; i < inputArg_.size(); i++) {
size += com.google.protobuf.CodedOutputStream
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for (int i = 0; i < outputArg_.size(); i++) {
size += com.google.protobuf.CodedOutputStream
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for (int i = 0; i < attr_.size(); i++) {
size += com.google.protobuf.CodedOutputStream
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if (!getSummaryBytes().isEmpty()) {
size += com.google.protobuf.GeneratedMessageV3.computeStringSize(5, summary_);
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if (!getDescriptionBytes().isEmpty()) {
size += com.google.protobuf.GeneratedMessageV3.computeStringSize(6, description_);
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if (deprecation_ != null) {
size += com.google.protobuf.CodedOutputStream
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}
if (isAggregate_ != false) {
size += com.google.protobuf.CodedOutputStream
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if (isStateful_ != false) {
size += com.google.protobuf.CodedOutputStream
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if (isCommutative_ != false) {
size += com.google.protobuf.CodedOutputStream
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if (allowsUninitializedInput_ != false) {
size += com.google.protobuf.CodedOutputStream
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return size;
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private static final long serialVersionUID = 0L;
@java.lang.Override
public boolean equals(final java.lang.Object obj) {
if (obj == this) {
return true;
}
if (!(obj instanceof org.tensorflow.framework.OpDef)) {
return super.equals(obj);
}
org.tensorflow.framework.OpDef other = (org.tensorflow.framework.OpDef) obj;
boolean result = true;
result = result && getName()
.equals(other.getName());
result = result && getInputArgList()
.equals(other.getInputArgList());
result = result && getOutputArgList()
.equals(other.getOutputArgList());
result = result && getAttrList()
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result = result && (hasDeprecation() == other.hasDeprecation());
if (hasDeprecation()) {
result = result && getDeprecation()
.equals(other.getDeprecation());
}
result = result && getSummary()
.equals(other.getSummary());
result = result && getDescription()
.equals(other.getDescription());
result = result && (getIsCommutative()
== other.getIsCommutative());
result = result && (getIsAggregate()
== other.getIsAggregate());
result = result && (getIsStateful()
== other.getIsStateful());
result = result && (getAllowsUninitializedInput()
== other.getAllowsUninitializedInput());
return result;
}
@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 (getInputArgCount() > 0) {
hash = (37 * hash) + INPUT_ARG_FIELD_NUMBER;
hash = (53 * hash) + getInputArgList().hashCode();
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if (getOutputArgCount() > 0) {
hash = (37 * hash) + OUTPUT_ARG_FIELD_NUMBER;
hash = (53 * hash) + getOutputArgList().hashCode();
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if (getAttrCount() > 0) {
hash = (37 * hash) + ATTR_FIELD_NUMBER;
hash = (53 * hash) + getAttrList().hashCode();
}
if (hasDeprecation()) {
hash = (37 * hash) + DEPRECATION_FIELD_NUMBER;
hash = (53 * hash) + getDeprecation().hashCode();
}
hash = (37 * hash) + SUMMARY_FIELD_NUMBER;
hash = (53 * hash) + getSummary().hashCode();
hash = (37 * hash) + DESCRIPTION_FIELD_NUMBER;
hash = (53 * hash) + getDescription().hashCode();
hash = (37 * hash) + IS_COMMUTATIVE_FIELD_NUMBER;
hash = (53 * hash) + com.google.protobuf.Internal.hashBoolean(
getIsCommutative());
hash = (37 * hash) + IS_AGGREGATE_FIELD_NUMBER;
hash = (53 * hash) + com.google.protobuf.Internal.hashBoolean(
getIsAggregate());
hash = (37 * hash) + IS_STATEFUL_FIELD_NUMBER;
hash = (53 * hash) + com.google.protobuf.Internal.hashBoolean(
getIsStateful());
hash = (37 * hash) + ALLOWS_UNINITIALIZED_INPUT_FIELD_NUMBER;
hash = (53 * hash) + com.google.protobuf.Internal.hashBoolean(
getAllowsUninitializedInput());
hash = (29 * hash) + unknownFields.hashCode();
memoizedHashCode = hash;
return hash;
}
public static org.tensorflow.framework.OpDef parseFrom(
java.nio.ByteBuffer data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static org.tensorflow.framework.OpDef parseFrom(
java.nio.ByteBuffer data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static org.tensorflow.framework.OpDef parseFrom(
com.google.protobuf.ByteString data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static org.tensorflow.framework.OpDef parseFrom(
com.google.protobuf.ByteString data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static org.tensorflow.framework.OpDef parseFrom(byte[] data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static org.tensorflow.framework.OpDef parseFrom(
byte[] data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static org.tensorflow.framework.OpDef parseFrom(java.io.InputStream input)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3
.parseWithIOException(PARSER, input);
}
public static org.tensorflow.framework.OpDef 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 org.tensorflow.framework.OpDef parseDelimitedFrom(java.io.InputStream input)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3
.parseDelimitedWithIOException(PARSER, input);
}
public static org.tensorflow.framework.OpDef parseDelimitedFrom(
java.io.InputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3
.parseDelimitedWithIOException(PARSER, input, extensionRegistry);
}
public static org.tensorflow.framework.OpDef parseFrom(
com.google.protobuf.CodedInputStream input)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3
.parseWithIOException(PARSER, input);
}
public static org.tensorflow.framework.OpDef parseFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3
.parseWithIOException(PARSER, input, extensionRegistry);
}
public Builder newBuilderForType() { return newBuilder(); }
public static Builder newBuilder() {
return DEFAULT_INSTANCE.toBuilder();
}
public static Builder newBuilder(org.tensorflow.framework.OpDef prototype) {
return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
}
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;
}
/**
*
* Defines an operation. A NodeDef in a GraphDef specifies an Op by
* using the "op" field which should match the name of a OpDef.
* LINT.IfChange
*
* If is_aggregate is true, then this operation accepts N >= 2
* inputs and produces 1 output all of the same type. Should be
* associative and commutative, and produce output with the same
* shape as the input. The optimizer may replace an aggregate op
* taking input from multiple devices with a tree of aggregate ops
* that aggregate locally within each device (and possibly within
* groups of nearby devices) before communicating.
* TODO(josh11b): Implement that optimization.
*
* If is_aggregate is true, then this operation accepts N >= 2
* inputs and produces 1 output all of the same type. Should be
* associative and commutative, and produce output with the same
* shape as the input. The optimizer may replace an aggregate op
* taking input from multiple devices with a tree of aggregate ops
* that aggregate locally within each device (and possibly within
* groups of nearby devices) before communicating.
* TODO(josh11b): Implement that optimization.
*
* If is_aggregate is true, then this operation accepts N >= 2
* inputs and produces 1 output all of the same type. Should be
* associative and commutative, and produce output with the same
* shape as the input. The optimizer may replace an aggregate op
* taking input from multiple devices with a tree of aggregate ops
* that aggregate locally within each device (and possibly within
* groups of nearby devices) before communicating.
* TODO(josh11b): Implement that optimization.
*
* By default Ops may be moved between devices. Stateful ops should
* either not be moved, or should only be moved if that state can also
* be moved (e.g. via some sort of save / restore).
* Stateful ops are guaranteed to never be optimized away by Common
* Subexpression Elimination (CSE).
*
* By default Ops may be moved between devices. Stateful ops should
* either not be moved, or should only be moved if that state can also
* be moved (e.g. via some sort of save / restore).
* Stateful ops are guaranteed to never be optimized away by Common
* Subexpression Elimination (CSE).
*
* By default Ops may be moved between devices. Stateful ops should
* either not be moved, or should only be moved if that state can also
* be moved (e.g. via some sort of save / restore).
* Stateful ops are guaranteed to never be optimized away by Common
* Subexpression Elimination (CSE).
*
* By default, all inputs to an Op must be initialized Tensors. Ops
* that may initialize tensors for the first time should set this
* field to true, to allow the Op to take an uninitialized Tensor as
* input.
*
* By default, all inputs to an Op must be initialized Tensors. Ops
* that may initialize tensors for the first time should set this
* field to true, to allow the Op to take an uninitialized Tensor as
* input.
*
* By default, all inputs to an Op must be initialized Tensors. Ops
* that may initialize tensors for the first time should set this
* field to true, to allow the Op to take an uninitialized Tensor as
* input.
*
*
* bool allows_uninitialized_input = 19;
*/
public Builder clearAllowsUninitializedInput() {
allowsUninitializedInput_ = false;
onChanged();
return this;
}
public final Builder setUnknownFields(
final com.google.protobuf.UnknownFieldSet unknownFields) {
return this;
}
public final Builder mergeUnknownFields(
final com.google.protobuf.UnknownFieldSet unknownFields) {
return this;
}
// @@protoc_insertion_point(builder_scope:tensorflow.OpDef)
}
// @@protoc_insertion_point(class_scope:tensorflow.OpDef)
private static final org.tensorflow.framework.OpDef DEFAULT_INSTANCE;
static {
DEFAULT_INSTANCE = new org.tensorflow.framework.OpDef();
}
public static org.tensorflow.framework.OpDef getDefaultInstance() {
return DEFAULT_INSTANCE;
}
private static final com.google.protobuf.Parser
PARSER = new com.google.protobuf.AbstractParser() {
public OpDef parsePartialFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return new OpDef(input, extensionRegistry);
}
};
public static com.google.protobuf.Parser parser() {
return PARSER;
}
@java.lang.Override
public com.google.protobuf.Parser getParserForType() {
return PARSER;
}
public org.tensorflow.framework.OpDef getDefaultInstanceForType() {
return DEFAULT_INSTANCE;
}
}
