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org.tensorflow.distruntime.TraceOpts Maven / Gradle / Ivy
// Generated by the protocol buffer compiler. DO NOT EDIT!
// source: tensorflow/core/protobuf/worker.proto
package org.tensorflow.distruntime;
/**
* Protobuf type {@code tensorflow.TraceOpts}
*/
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org.nd4j.shade.protobuf.GeneratedMessageV3 implements
// @@protoc_insertion_point(message_implements:tensorflow.TraceOpts)
TraceOptsOrBuilder {
private static final long serialVersionUID = 0L;
// Use TraceOpts.newBuilder() to construct.
private TraceOpts(org.nd4j.shade.protobuf.GeneratedMessageV3.Builder builder) {
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/**
*
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/**
*
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*
*
* bool use_gpu_profiler = 5;
* @return The useGpuProfiler.
*/
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/**
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public static org.tensorflow.distruntime.TraceOpts parseFrom(
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public static org.tensorflow.distruntime.TraceOpts parseFrom(
java.nio.ByteBuffer 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.tensorflow.distruntime.TraceOpts parseFrom(
org.nd4j.shade.protobuf.ByteString data)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static org.tensorflow.distruntime.TraceOpts parseFrom(
org.nd4j.shade.protobuf.ByteString 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.tensorflow.distruntime.TraceOpts parseFrom(byte[] data)
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return PARSER.parseFrom(data);
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public static org.tensorflow.distruntime.TraceOpts 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.tensorflow.distruntime.TraceOpts parseFrom(java.io.InputStream input)
throws java.io.IOException {
return org.nd4j.shade.protobuf.GeneratedMessageV3
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}
public static org.tensorflow.distruntime.TraceOpts 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.tensorflow.distruntime.TraceOpts parseDelimitedFrom(java.io.InputStream input)
throws java.io.IOException {
return org.nd4j.shade.protobuf.GeneratedMessageV3
.parseDelimitedWithIOException(PARSER, input);
}
public static org.tensorflow.distruntime.TraceOpts 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.tensorflow.distruntime.TraceOpts parseFrom(
org.nd4j.shade.protobuf.CodedInputStream input)
throws java.io.IOException {
return org.nd4j.shade.protobuf.GeneratedMessageV3
.parseWithIOException(PARSER, input);
}
public static org.tensorflow.distruntime.TraceOpts 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
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Builder builder = new Builder(parent);
return builder;
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/**
* Protobuf type {@code tensorflow.TraceOpts}
*/
public static final class Builder extends
org.nd4j.shade.protobuf.GeneratedMessageV3.Builder implements
// @@protoc_insertion_point(builder_implements:tensorflow.TraceOpts)
org.tensorflow.distruntime.TraceOptsOrBuilder {
public static final org.nd4j.shade.protobuf.Descriptors.Descriptor
getDescriptor() {
return org.tensorflow.distruntime.WorkerProtos.internal_static_tensorflow_TraceOpts_descriptor;
}
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internalGetFieldAccessorTable() {
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private Builder() {
maybeForceBuilderInitialization();
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duration_ = 0D;
useStepProfiler_ = false;
useKernelProfiler_ = false;
useExtendedProfiler_ = false;
useGpuProfiler_ = false;
useSampleProfiler_ = false;
return this;
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getDescriptorForType() {
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}
@java.lang.Override
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result.useExtendedProfiler_ = useExtendedProfiler_;
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result.useSampleProfiler_ = useSampleProfiler_;
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.tensorflow.distruntime.TraceOpts other) {
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@java.lang.Override
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org.nd4j.shade.protobuf.CodedInputStream input,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
org.tensorflow.distruntime.TraceOpts parsedMessage = null;
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private double duration_ ;
/**
*
* Length of the trace to be taken, in seconds.
*
*
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* @return The duration.
*/
@java.lang.Override
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return duration_;
}
/**
*
* Length of the trace to be taken, in seconds.
*
*
* double duration = 1;
* @param value The duration to set.
* @return This builder for chaining.
*/
public Builder setDuration(double value) {
duration_ = value;
onChanged();
return this;
}
/**
*
* Length of the trace to be taken, in seconds.
*
*
* double duration = 1;
* @return This builder for chaining.
*/
public Builder clearDuration() {
duration_ = 0D;
onChanged();
return this;
}
private boolean useStepProfiler_ ;
/**
*
* If true, capture step profile locally in each worker. Currently
* unimplemented.
*
*
* bool use_step_profiler = 2;
* @return The useStepProfiler.
*/
@java.lang.Override
public boolean getUseStepProfiler() {
return useStepProfiler_;
}
/**
*
* If true, capture step profile locally in each worker. Currently
* unimplemented.
*
*
* bool use_step_profiler = 2;
* @param value The useStepProfiler to set.
* @return This builder for chaining.
*/
public Builder setUseStepProfiler(boolean value) {
useStepProfiler_ = value;
onChanged();
return this;
}
/**
*
* If true, capture step profile locally in each worker. Currently
* unimplemented.
*
*
* bool use_step_profiler = 2;
* @return This builder for chaining.
*/
public Builder clearUseStepProfiler() {
useStepProfiler_ = false;
onChanged();
return this;
}
private boolean useKernelProfiler_ ;
/**
*
* If true, capture kernel events from each worker.
*
*
* bool use_kernel_profiler = 3;
* @return The useKernelProfiler.
*/
@java.lang.Override
public boolean getUseKernelProfiler() {
return useKernelProfiler_;
}
/**
*
* If true, capture kernel events from each worker.
*
*
* bool use_kernel_profiler = 3;
* @param value The useKernelProfiler to set.
* @return This builder for chaining.
*/
public Builder setUseKernelProfiler(boolean value) {
useKernelProfiler_ = value;
onChanged();
return this;
}
/**
*
* If true, capture kernel events from each worker.
*
*
* bool use_kernel_profiler = 3;
* @return This builder for chaining.
*/
public Builder clearUseKernelProfiler() {
useKernelProfiler_ = false;
onChanged();
return this;
}
private boolean useExtendedProfiler_ ;
/**
*
* If true, capture extended profiling events from TensorFlow process.
*
*
* bool use_extended_profiler = 4;
* @return The useExtendedProfiler.
*/
@java.lang.Override
public boolean getUseExtendedProfiler() {
return useExtendedProfiler_;
}
/**
*
* If true, capture extended profiling events from TensorFlow process.
*
*
* bool use_extended_profiler = 4;
* @param value The useExtendedProfiler to set.
* @return This builder for chaining.
*/
public Builder setUseExtendedProfiler(boolean value) {
useExtendedProfiler_ = value;
onChanged();
return this;
}
/**
*
* If true, capture extended profiling events from TensorFlow process.
*
*
* bool use_extended_profiler = 4;
* @return This builder for chaining.
*/
public Builder clearUseExtendedProfiler() {
useExtendedProfiler_ = false;
onChanged();
return this;
}
private boolean useGpuProfiler_ ;
/**
*
* If true, capture GPU profiling events locally on each
* machine. Currently unimplemented.
*
*
* bool use_gpu_profiler = 5;
* @return The useGpuProfiler.
*/
@java.lang.Override
public boolean getUseGpuProfiler() {
return useGpuProfiler_;
}
/**
*
* If true, capture GPU profiling events locally on each
* machine. Currently unimplemented.
*
*
* bool use_gpu_profiler = 5;
* @param value The useGpuProfiler to set.
* @return This builder for chaining.
*/
public Builder setUseGpuProfiler(boolean value) {
useGpuProfiler_ = value;
onChanged();
return this;
}
/**
*
* If true, capture GPU profiling events locally on each
* machine. Currently unimplemented.
*
*
* bool use_gpu_profiler = 5;
* @return This builder for chaining.
*/
public Builder clearUseGpuProfiler() {
useGpuProfiler_ = false;
onChanged();
return this;
}
private boolean useSampleProfiler_ ;
/**
*
* If true, collect sampled profile events. Currently unimplemented.
*
*
* bool use_sample_profiler = 6;
* @return The useSampleProfiler.
*/
@java.lang.Override
public boolean getUseSampleProfiler() {
return useSampleProfiler_;
}
/**
*
* If true, collect sampled profile events. Currently unimplemented.
*
*
* bool use_sample_profiler = 6;
* @param value The useSampleProfiler to set.
* @return This builder for chaining.
*/
public Builder setUseSampleProfiler(boolean value) {
useSampleProfiler_ = value;
onChanged();
return this;
}
/**
*
* If true, collect sampled profile events. Currently unimplemented.
*
*
* bool use_sample_profiler = 6;
* @return This builder for chaining.
*/
public Builder clearUseSampleProfiler() {
useSampleProfiler_ = false;
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:tensorflow.TraceOpts)
}
// @@protoc_insertion_point(class_scope:tensorflow.TraceOpts)
private static final org.tensorflow.distruntime.TraceOpts DEFAULT_INSTANCE;
static {
DEFAULT_INSTANCE = new org.tensorflow.distruntime.TraceOpts();
}
public static org.tensorflow.distruntime.TraceOpts getDefaultInstance() {
return DEFAULT_INSTANCE;
}
private static final org.nd4j.shade.protobuf.Parser
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@java.lang.Override
public TraceOpts parsePartialFrom(
org.nd4j.shade.protobuf.CodedInputStream input,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
return new TraceOpts(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.distruntime.TraceOpts getDefaultInstanceForType() {
return DEFAULT_INSTANCE;
}
}
