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// Generated by the protocol buffer compiler. DO NOT EDIT!
// source: tensorflow/core/framework/log_memory.proto
package org.tensorflow.framework;
/**
* Protobuf type {@code tensorflow.MemoryLogTensorAllocation}
*/
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// @@protoc_insertion_point(message_implements:tensorflow.MemoryLogTensorAllocation)
MemoryLogTensorAllocationOrBuilder {
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public static org.tensorflow.framework.MemoryLogTensorAllocation parseFrom(
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throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
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public static org.tensorflow.framework.MemoryLogTensorAllocation parseFrom(
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org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
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public static org.tensorflow.framework.MemoryLogTensorAllocation parseFrom(
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return PARSER.parseFrom(data);
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public static org.tensorflow.framework.MemoryLogTensorAllocation parseFrom(
org.nd4j.shade.protobuf.ByteString data,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
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org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
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org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
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public static org.tensorflow.framework.MemoryLogTensorAllocation 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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public static Builder newBuilder(org.tensorflow.framework.MemoryLogTensorAllocation prototype) {
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Builder builder = new Builder(parent);
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/**
* Protobuf type {@code tensorflow.MemoryLogTensorAllocation}
*/
public static final class Builder extends
org.nd4j.shade.protobuf.GeneratedMessageV3.Builder implements
// @@protoc_insertion_point(builder_implements:tensorflow.MemoryLogTensorAllocation)
org.tensorflow.framework.MemoryLogTensorAllocationOrBuilder {
public static final org.nd4j.shade.protobuf.Descriptors.Descriptor
getDescriptor() {
return org.tensorflow.framework.LogMemoryProtos.internal_static_tensorflow_MemoryLogTensorAllocation_descriptor;
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maybeForceBuilderInitialization();
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stepId_ = 0L;
kernelName_ = "";
if (tensorBuilder_ == null) {
tensor_ = null;
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tensorBuilder_ = null;
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return this;
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throw newUninitializedMessageException(result);
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@java.lang.Override
public org.tensorflow.framework.MemoryLogTensorAllocation buildPartial() {
org.tensorflow.framework.MemoryLogTensorAllocation result = new org.tensorflow.framework.MemoryLogTensorAllocation(this);
result.stepId_ = stepId_;
result.kernelName_ = kernelName_;
if (tensorBuilder_ == null) {
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onBuilt();
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org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
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org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field) {
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org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
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public Builder mergeFrom(org.nd4j.shade.protobuf.Message other) {
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public Builder mergeFrom(org.tensorflow.framework.MemoryLogTensorAllocation other) {
if (other == org.tensorflow.framework.MemoryLogTensorAllocation.getDefaultInstance()) return this;
if (other.getStepId() != 0L) {
setStepId(other.getStepId());
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onChanged();
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@java.lang.Override
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org.nd4j.shade.protobuf.CodedInputStream input,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
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}
private long stepId_ ;
/**
*
* Process-unique step id.
*
*
* int64 step_id = 1;
* @return The stepId.
*/
@java.lang.Override
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/**
*
* Process-unique step id.
*
*
* int64 step_id = 1;
* @param value The stepId to set.
* @return This builder for chaining.
*/
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onChanged();
return this;
}
/**
*
* Process-unique step id.
*
*
* int64 step_id = 1;
* @return This builder for chaining.
*/
public Builder clearStepId() {
stepId_ = 0L;
onChanged();
return this;
}
private java.lang.Object kernelName_ = "";
/**
*
* Name of the kernel making the allocation as set in GraphDef,
* e.g., "affine2/weights/Assign".
*
*
* string kernel_name = 2;
* @return The kernelName.
*/
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java.lang.Object ref = kernelName_;
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org.nd4j.shade.protobuf.ByteString bs =
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kernelName_ = s;
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/**
*
* Name of the kernel making the allocation as set in GraphDef,
* e.g., "affine2/weights/Assign".
*
*
* string kernel_name = 2;
* @return The bytes for kernelName.
*/
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/**
*
* Name of the kernel making the allocation as set in GraphDef,
* e.g., "affine2/weights/Assign".
*
*
* string kernel_name = 2;
* @param value The kernelName to set.
* @return This builder for chaining.
*/
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java.lang.String value) {
if (value == null) {
throw new NullPointerException();
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kernelName_ = value;
onChanged();
return this;
}
/**
*
* Name of the kernel making the allocation as set in GraphDef,
* e.g., "affine2/weights/Assign".
*
*
* string kernel_name = 2;
* @return This builder for chaining.
*/
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kernelName_ = getDefaultInstance().getKernelName();
onChanged();
return this;
}
/**
*
* Name of the kernel making the allocation as set in GraphDef,
* e.g., "affine2/weights/Assign".
*
*
* string kernel_name = 2;
* @param value The bytes for kernelName to set.
* @return This builder for chaining.
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throw new NullPointerException();
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checkByteStringIsUtf8(value);
kernelName_ = value;
onChanged();
return this;
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private org.tensorflow.framework.TensorDescription tensor_;
private org.nd4j.shade.protobuf.SingleFieldBuilderV3<
org.tensorflow.framework.TensorDescription, org.tensorflow.framework.TensorDescription.Builder, org.tensorflow.framework.TensorDescriptionOrBuilder> tensorBuilder_;
/**
*
* Allocated tensor details.
*
*
* .tensorflow.TensorDescription tensor = 3;
* @return Whether the tensor field is set.
*/
public boolean hasTensor() {
return tensorBuilder_ != null || tensor_ != null;
}
/**
*
* Allocated tensor details.
*
*
* .tensorflow.TensorDescription tensor = 3;
* @return The tensor.
*/
public org.tensorflow.framework.TensorDescription getTensor() {
if (tensorBuilder_ == null) {
return tensor_ == null ? org.tensorflow.framework.TensorDescription.getDefaultInstance() : tensor_;
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/**
*
* Allocated tensor details.
*
*
* .tensorflow.TensorDescription tensor = 3;
*/
public Builder setTensor(org.tensorflow.framework.TensorDescription value) {
if (tensorBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
tensor_ = value;
onChanged();
} else {
tensorBuilder_.setMessage(value);
}
return this;
}
/**
*
* Allocated tensor details.
*
*
* .tensorflow.TensorDescription tensor = 3;
*/
public Builder setTensor(
org.tensorflow.framework.TensorDescription.Builder builderForValue) {
if (tensorBuilder_ == null) {
tensor_ = builderForValue.build();
onChanged();
} else {
tensorBuilder_.setMessage(builderForValue.build());
}
return this;
}
/**
*
* Allocated tensor details.
*
*
* .tensorflow.TensorDescription tensor = 3;
*/
public Builder mergeTensor(org.tensorflow.framework.TensorDescription value) {
if (tensorBuilder_ == null) {
if (tensor_ != null) {
tensor_ =
org.tensorflow.framework.TensorDescription.newBuilder(tensor_).mergeFrom(value).buildPartial();
} else {
tensor_ = value;
}
onChanged();
} else {
tensorBuilder_.mergeFrom(value);
}
return this;
}
/**
*
* Allocated tensor details.
*
*
* .tensorflow.TensorDescription tensor = 3;
*/
public Builder clearTensor() {
if (tensorBuilder_ == null) {
tensor_ = null;
onChanged();
} else {
tensor_ = null;
tensorBuilder_ = null;
}
return this;
}
/**
*
* Allocated tensor details.
*
*
* .tensorflow.TensorDescription tensor = 3;
*/
public org.tensorflow.framework.TensorDescription.Builder getTensorBuilder() {
onChanged();
return getTensorFieldBuilder().getBuilder();
}
/**
*
* Allocated tensor details.
*
*
* .tensorflow.TensorDescription tensor = 3;
*/
public org.tensorflow.framework.TensorDescriptionOrBuilder getTensorOrBuilder() {
if (tensorBuilder_ != null) {
return tensorBuilder_.getMessageOrBuilder();
} else {
return tensor_ == null ?
org.tensorflow.framework.TensorDescription.getDefaultInstance() : tensor_;
}
}
/**
*
* Allocated tensor details.
*
*
* .tensorflow.TensorDescription tensor = 3;
*/
private org.nd4j.shade.protobuf.SingleFieldBuilderV3<
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getTensorFieldBuilder() {
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getParentForChildren(),
isClean());
tensor_ = null;
}
return tensorBuilder_;
}
@java.lang.Override
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@java.lang.Override
public final Builder mergeUnknownFields(
final org.nd4j.shade.protobuf.UnknownFieldSet unknownFields) {
return super.mergeUnknownFields(unknownFields);
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// @@protoc_insertion_point(builder_scope:tensorflow.MemoryLogTensorAllocation)
}
// @@protoc_insertion_point(class_scope:tensorflow.MemoryLogTensorAllocation)
private static final org.tensorflow.framework.MemoryLogTensorAllocation DEFAULT_INSTANCE;
static {
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public static org.tensorflow.framework.MemoryLogTensorAllocation getDefaultInstance() {
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}
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public MemoryLogTensorAllocation parsePartialFrom(
org.nd4j.shade.protobuf.CodedInputStream input,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
return new MemoryLogTensorAllocation(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.tensorflow.framework.MemoryLogTensorAllocation getDefaultInstanceForType() {
return DEFAULT_INSTANCE;
}
}