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// Generated by the protocol buffer compiler. DO NOT EDIT!
// source: tensorflow/core/profiler/tfprof_output.proto
package tensorflow.tfprof;
public final class TfprofOutput {
private TfprofOutput() {}
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TFProfTensorProtoOrBuilder {
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tensorflow.tfprof.TfprofOutput.TFProfTensorProtoOrBuilder {
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return valueDouble_.get(index);
}
/**
*
* Flatten tensor in row-major.
* Only one of the following array is set.
*
*
* repeated double value_double = 2;
*/
public Builder setValueDouble(
int index, double value) {
ensureValueDoubleIsMutable();
valueDouble_.set(index, value);
onChanged();
return this;
}
/**
*
* Flatten tensor in row-major.
* Only one of the following array is set.
*
*
* repeated double value_double = 2;
*/
public Builder addValueDouble(double value) {
ensureValueDoubleIsMutable();
valueDouble_.add(value);
onChanged();
return this;
}
/**
*
* Flatten tensor in row-major.
* Only one of the following array is set.
*
*
* repeated double value_double = 2;
*/
public Builder addAllValueDouble(
java.lang.Iterable values) {
ensureValueDoubleIsMutable();
com.google.protobuf.AbstractMessageLite.Builder.addAll(
values, valueDouble_);
onChanged();
return this;
}
/**
*
* Flatten tensor in row-major.
* Only one of the following array is set.
*
*
* repeated double value_double = 2;
*/
public Builder clearValueDouble() {
valueDouble_ = java.util.Collections.emptyList();
bitField0_ = (bitField0_ & ~0x00000002);
onChanged();
return this;
}
private java.util.List valueInt64_ = java.util.Collections.emptyList();
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bitField0_ |= 0x00000004;
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*/
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getValueInt64List() {
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* repeated int64 value_int64 = 3;
*/
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* repeated int64 value_int64 = 3;
*/
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* repeated int64 value_int64 = 3;
*/
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ensureValueInt64IsMutable();
valueInt64_.set(index, value);
onChanged();
return this;
}
/**
* repeated int64 value_int64 = 3;
*/
public Builder addValueInt64(long value) {
ensureValueInt64IsMutable();
valueInt64_.add(value);
onChanged();
return this;
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*/
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java.lang.Iterable values) {
ensureValueInt64IsMutable();
com.google.protobuf.AbstractMessageLite.Builder.addAll(
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onChanged();
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*/
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valueInt64_ = java.util.Collections.emptyList();
bitField0_ = (bitField0_ & ~0x00000004);
onChanged();
return this;
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private com.google.protobuf.LazyStringList valueStr_ = com.google.protobuf.LazyStringArrayList.EMPTY;
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bitField0_ |= 0x00000008;
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*/
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getValueStrList() {
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*/
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/**
* repeated string value_str = 4;
*/
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*/
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getValueStrBytes(int index) {
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*/
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int index, java.lang.String value) {
if (value == null) {
throw new NullPointerException();
}
ensureValueStrIsMutable();
valueStr_.set(index, value);
onChanged();
return this;
}
/**
* repeated string value_str = 4;
*/
public Builder addValueStr(
java.lang.String value) {
if (value == null) {
throw new NullPointerException();
}
ensureValueStrIsMutable();
valueStr_.add(value);
onChanged();
return this;
}
/**
* repeated string value_str = 4;
*/
public Builder addAllValueStr(
java.lang.Iterable values) {
ensureValueStrIsMutable();
com.google.protobuf.AbstractMessageLite.Builder.addAll(
values, valueStr_);
onChanged();
return this;
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/**
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*/
public Builder clearValueStr() {
valueStr_ = com.google.protobuf.LazyStringArrayList.EMPTY;
bitField0_ = (bitField0_ & ~0x00000008);
onChanged();
return this;
}
/**
* repeated string value_str = 4;
*/
public Builder addValueStrBytes(
com.google.protobuf.ByteString value) {
if (value == null) {
throw new NullPointerException();
}
checkByteStringIsUtf8(value);
ensureValueStrIsMutable();
valueStr_.add(value);
onChanged();
return this;
}
@java.lang.Override
public final Builder setUnknownFields(
final com.google.protobuf.UnknownFieldSet unknownFields) {
return super.setUnknownFieldsProto3(unknownFields);
}
@java.lang.Override
public final Builder mergeUnknownFields(
final com.google.protobuf.UnknownFieldSet unknownFields) {
return super.mergeUnknownFields(unknownFields);
}
// @@protoc_insertion_point(builder_scope:tensorflow.tfprof.TFProfTensorProto)
}
// @@protoc_insertion_point(class_scope:tensorflow.tfprof.TFProfTensorProto)
private static final tensorflow.tfprof.TfprofOutput.TFProfTensorProto DEFAULT_INSTANCE;
static {
DEFAULT_INSTANCE = new tensorflow.tfprof.TfprofOutput.TFProfTensorProto();
}
public static tensorflow.tfprof.TfprofOutput.TFProfTensorProto getDefaultInstance() {
return DEFAULT_INSTANCE;
}
private static final com.google.protobuf.Parser
PARSER = new com.google.protobuf.AbstractParser() {
@java.lang.Override
public TFProfTensorProto parsePartialFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return new TFProfTensorProto(input, extensionRegistry);
}
};
public static com.google.protobuf.Parser parser() {
return PARSER;
}
@java.lang.Override
public com.google.protobuf.Parser getParserForType() {
return PARSER;
}
@java.lang.Override
public tensorflow.tfprof.TfprofOutput.TFProfTensorProto getDefaultInstanceForType() {
return DEFAULT_INSTANCE;
}
}
public interface GraphNodeProtoOrBuilder extends
// @@protoc_insertion_point(interface_extends:tensorflow.tfprof.GraphNodeProto)
com.google.protobuf.MessageOrBuilder {
/**
*
* op name.
*
*
* string name = 1;
*/
java.lang.String getName();
/**
*
* op name.
*
*
* string name = 1;
*/
com.google.protobuf.ByteString
getNameBytes();
/**
*
* tensor value restored from checkpoint.
*
*
* .tensorflow.tfprof.TFProfTensorProto tensor_value = 15;
*/
boolean hasTensorValue();
/**
*
* tensor value restored from checkpoint.
*
*
* .tensorflow.tfprof.TFProfTensorProto tensor_value = 15;
*/
tensorflow.tfprof.TfprofOutput.TFProfTensorProto getTensorValue();
/**
*
* tensor value restored from checkpoint.
*
*
* .tensorflow.tfprof.TFProfTensorProto tensor_value = 15;
*/
tensorflow.tfprof.TfprofOutput.TFProfTensorProtoOrBuilder getTensorValueOrBuilder();
/**
*
* op execution time.
* A node can be defined once but run multiple times in tf.while_loop.
* the times sum up all different runs.
*
*
* int64 run_count = 21;
*/
long getRunCount();
/**
* int64 exec_micros = 2;
*/
long getExecMicros();
/**
* int64 accelerator_exec_micros = 17;
*/
long getAcceleratorExecMicros();
/**
* int64 cpu_exec_micros = 18;
*/
long getCpuExecMicros();
/**
*
* Total bytes requested by the op.
*
*
* int64 requested_bytes = 3;
*/
long getRequestedBytes();
/**
*
* Max bytes allocated and being used by the op at a point.
*
*
* int64 peak_bytes = 24;
*/
long getPeakBytes();
/**
*
* Total bytes requested by the op and not released before end.
*
*
* int64 residual_bytes = 25;
*/
long getResidualBytes();
/**
*
* Total bytes output by the op (not necessarily allocated by the op).
*
*
* int64 output_bytes = 26;
*/
long getOutputBytes();
/**
*
* Number of parameters if available.
*
*
* int64 parameters = 4;
*/
long getParameters();
/**
*
* Number of float operations.
*
*
* int64 float_ops = 13;
*/
long getFloatOps();
/**
*
* Device the op is assigned to.
* Since an op can fire multiple kernel calls, there can be multiple devices.
*
*
* repeated string devices = 10;
*/
java.util.List
getDevicesList();
/**
*
* Device the op is assigned to.
* Since an op can fire multiple kernel calls, there can be multiple devices.
*
*
* repeated string devices = 10;
*/
int getDevicesCount();
/**
*
* Device the op is assigned to.
* Since an op can fire multiple kernel calls, there can be multiple devices.
*
*
* repeated string devices = 10;
*/
java.lang.String getDevices(int index);
/**
*
* Device the op is assigned to.
* Since an op can fire multiple kernel calls, there can be multiple devices.
*
*
* repeated string devices = 10;
*/
com.google.protobuf.ByteString
getDevicesBytes(int index);
/**
*
* The following are the aggregated stats from all *accounted* children and
* the node itself. The actual children depend on the data structure used.
* In graph view, children are inputs recursively.
* In scope view, children are nodes under the name scope.
*
*
* int64 total_definition_count = 23;
*/
long getTotalDefinitionCount();
/**
* int64 total_run_count = 22;
*/
long getTotalRunCount();
/**
* int64 total_exec_micros = 6;
*/
long getTotalExecMicros();
/**
* int64 total_accelerator_exec_micros = 19;
*/
long getTotalAcceleratorExecMicros();
/**
* int64 total_cpu_exec_micros = 20;
*/
long getTotalCpuExecMicros();
/**
* int64 total_requested_bytes = 7;
*/
long getTotalRequestedBytes();
/**
* int64 total_peak_bytes = 27;
*/
long getTotalPeakBytes();
/**
* int64 total_residual_bytes = 28;
*/
long getTotalResidualBytes();
/**
* int64 total_output_bytes = 29;
*/
long getTotalOutputBytes();
/**
* int64 total_parameters = 8;
*/
long getTotalParameters();
/**
* int64 total_float_ops = 14;
*/
long getTotalFloatOps();
/**
*
* shape information, if available.
* TODO(xpan): Why is this repeated?
*
*
* repeated .tensorflow.TensorShapeProto shapes = 11;
*/
java.util.List
getShapesList();
/**
*
* shape information, if available.
* TODO(xpan): Why is this repeated?
*
*
* repeated .tensorflow.TensorShapeProto shapes = 11;
*/
org.tensorflow.framework.TensorShapeProto getShapes(int index);
/**
*
* shape information, if available.
* TODO(xpan): Why is this repeated?
*
*
* repeated .tensorflow.TensorShapeProto shapes = 11;
*/
int getShapesCount();
/**
*
* shape information, if available.
* TODO(xpan): Why is this repeated?
*
*
* repeated .tensorflow.TensorShapeProto shapes = 11;
*/
java.util.List
getShapesOrBuilderList();
/**
*
* shape information, if available.
* TODO(xpan): Why is this repeated?
*
*
* repeated .tensorflow.TensorShapeProto shapes = 11;
*/
org.tensorflow.framework.TensorShapeProtoOrBuilder getShapesOrBuilder(
int index);
/**
* map<int32, .tensorflow.TensorShapeProto> input_shapes = 16;
*/
int getInputShapesCount();
/**
* map<int32, .tensorflow.TensorShapeProto> input_shapes = 16;
*/
boolean containsInputShapes(
int key);
/**
* Use {@link #getInputShapesMap()} instead.
*/
@java.lang.Deprecated
java.util.Map
getInputShapes();
/**
* map<int32, .tensorflow.TensorShapeProto> input_shapes = 16;
*/
java.util.Map
getInputShapesMap();
/**
* map<int32, .tensorflow.TensorShapeProto> input_shapes = 16;
*/
org.tensorflow.framework.TensorShapeProto getInputShapesOrDefault(
int key,
org.tensorflow.framework.TensorShapeProto defaultValue);
/**
* map<int32, .tensorflow.TensorShapeProto> input_shapes = 16;
*/
org.tensorflow.framework.TensorShapeProto getInputShapesOrThrow(
int key);
/**
*
* Descendants of the graph. The actual descendants depend on the data
* structure used (scope, graph).
*
*
* repeated .tensorflow.tfprof.GraphNodeProto children = 12;
*/
java.util.List
getChildrenList();
/**
*
* Descendants of the graph. The actual descendants depend on the data
* structure used (scope, graph).
*
*
* repeated .tensorflow.tfprof.GraphNodeProto children = 12;
*/
tensorflow.tfprof.TfprofOutput.GraphNodeProto getChildren(int index);
/**
*
* Descendants of the graph. The actual descendants depend on the data
* structure used (scope, graph).
*
*
* repeated .tensorflow.tfprof.GraphNodeProto children = 12;
*/
int getChildrenCount();
/**
*
* Descendants of the graph. The actual descendants depend on the data
* structure used (scope, graph).
*
*
* repeated .tensorflow.tfprof.GraphNodeProto children = 12;
*/
java.util.List
getChildrenOrBuilderList();
/**
*
* Descendants of the graph. The actual descendants depend on the data
* structure used (scope, graph).
*
*
* repeated .tensorflow.tfprof.GraphNodeProto children = 12;
*/
tensorflow.tfprof.TfprofOutput.GraphNodeProtoOrBuilder getChildrenOrBuilder(
int index);
}
/**
*
* A node in TensorFlow graph. Used by scope/graph view.
*
*
* Protobuf type {@code tensorflow.tfprof.GraphNodeProto}
*/
public static final class GraphNodeProto extends
com.google.protobuf.GeneratedMessageV3 implements
// @@protoc_insertion_point(message_implements:tensorflow.tfprof.GraphNodeProto)
GraphNodeProtoOrBuilder {
private static final long serialVersionUID = 0L;
// Use GraphNodeProto.newBuilder() to construct.
private GraphNodeProto(com.google.protobuf.GeneratedMessageV3.Builder builder) {
super(builder);
}
private GraphNodeProto() {
name_ = "";
runCount_ = 0L;
execMicros_ = 0L;
acceleratorExecMicros_ = 0L;
cpuExecMicros_ = 0L;
requestedBytes_ = 0L;
peakBytes_ = 0L;
residualBytes_ = 0L;
outputBytes_ = 0L;
parameters_ = 0L;
floatOps_ = 0L;
devices_ = com.google.protobuf.LazyStringArrayList.EMPTY;
totalDefinitionCount_ = 0L;
totalRunCount_ = 0L;
totalExecMicros_ = 0L;
totalAcceleratorExecMicros_ = 0L;
totalCpuExecMicros_ = 0L;
totalRequestedBytes_ = 0L;
totalPeakBytes_ = 0L;
totalResidualBytes_ = 0L;
totalOutputBytes_ = 0L;
totalParameters_ = 0L;
totalFloatOps_ = 0L;
shapes_ = java.util.Collections.emptyList();
children_ = java.util.Collections.emptyList();
}
@java.lang.Override
public final com.google.protobuf.UnknownFieldSet
getUnknownFields() {
return this.unknownFields;
}
private GraphNodeProto(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
this();
if (extensionRegistry == null) {
throw new java.lang.NullPointerException();
}
int mutable_bitField0_ = 0;
com.google.protobuf.UnknownFieldSet.Builder unknownFields =
com.google.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 16: {
execMicros_ = input.readInt64();
break;
}
case 24: {
requestedBytes_ = input.readInt64();
break;
}
case 32: {
parameters_ = input.readInt64();
break;
}
case 48: {
totalExecMicros_ = input.readInt64();
break;
}
case 56: {
totalRequestedBytes_ = input.readInt64();
break;
}
case 64: {
totalParameters_ = input.readInt64();
break;
}
case 82: {
java.lang.String s = input.readStringRequireUtf8();
if (!((mutable_bitField0_ & 0x00001000) == 0x00001000)) {
devices_ = new com.google.protobuf.LazyStringArrayList();
mutable_bitField0_ |= 0x00001000;
}
devices_.add(s);
break;
}
case 90: {
if (!((mutable_bitField0_ & 0x01000000) == 0x01000000)) {
shapes_ = new java.util.ArrayList();
mutable_bitField0_ |= 0x01000000;
}
shapes_.add(
input.readMessage(org.tensorflow.framework.TensorShapeProto.parser(), extensionRegistry));
break;
}
case 98: {
if (!((mutable_bitField0_ & 0x04000000) == 0x04000000)) {
children_ = new java.util.ArrayList();
mutable_bitField0_ |= 0x04000000;
}
children_.add(
input.readMessage(tensorflow.tfprof.TfprofOutput.GraphNodeProto.parser(), extensionRegistry));
break;
}
case 104: {
floatOps_ = input.readInt64();
break;
}
case 112: {
totalFloatOps_ = input.readInt64();
break;
}
case 122: {
tensorflow.tfprof.TfprofOutput.TFProfTensorProto.Builder subBuilder = null;
if (tensorValue_ != null) {
subBuilder = tensorValue_.toBuilder();
}
tensorValue_ = input.readMessage(tensorflow.tfprof.TfprofOutput.TFProfTensorProto.parser(), extensionRegistry);
if (subBuilder != null) {
subBuilder.mergeFrom(tensorValue_);
tensorValue_ = subBuilder.buildPartial();
}
break;
}
case 130: {
if (!((mutable_bitField0_ & 0x02000000) == 0x02000000)) {
inputShapes_ = com.google.protobuf.MapField.newMapField(
InputShapesDefaultEntryHolder.defaultEntry);
mutable_bitField0_ |= 0x02000000;
}
com.google.protobuf.MapEntry
inputShapes__ = input.readMessage(
InputShapesDefaultEntryHolder.defaultEntry.getParserForType(), extensionRegistry);
inputShapes_.getMutableMap().put(
inputShapes__.getKey(), inputShapes__.getValue());
break;
}
case 136: {
acceleratorExecMicros_ = input.readInt64();
break;
}
case 144: {
cpuExecMicros_ = input.readInt64();
break;
}
case 152: {
totalAcceleratorExecMicros_ = input.readInt64();
break;
}
case 160: {
totalCpuExecMicros_ = input.readInt64();
break;
}
case 168: {
runCount_ = input.readInt64();
break;
}
case 176: {
totalRunCount_ = input.readInt64();
break;
}
case 184: {
totalDefinitionCount_ = input.readInt64();
break;
}
case 192: {
peakBytes_ = input.readInt64();
break;
}
case 200: {
residualBytes_ = input.readInt64();
break;
}
case 208: {
outputBytes_ = input.readInt64();
break;
}
case 216: {
totalPeakBytes_ = input.readInt64();
break;
}
case 224: {
totalResidualBytes_ = input.readInt64();
break;
}
case 232: {
totalOutputBytes_ = input.readInt64();
break;
}
default: {
if (!parseUnknownFieldProto3(
input, unknownFields, extensionRegistry, tag)) {
done = true;
}
break;
}
}
}
} catch (com.google.protobuf.InvalidProtocolBufferException e) {
throw e.setUnfinishedMessage(this);
} catch (java.io.IOException e) {
throw new com.google.protobuf.InvalidProtocolBufferException(
e).setUnfinishedMessage(this);
} finally {
if (((mutable_bitField0_ & 0x00001000) == 0x00001000)) {
devices_ = devices_.getUnmodifiableView();
}
if (((mutable_bitField0_ & 0x01000000) == 0x01000000)) {
shapes_ = java.util.Collections.unmodifiableList(shapes_);
}
if (((mutable_bitField0_ & 0x04000000) == 0x04000000)) {
children_ = java.util.Collections.unmodifiableList(children_);
}
this.unknownFields = unknownFields.build();
makeExtensionsImmutable();
}
}
public static final com.google.protobuf.Descriptors.Descriptor
getDescriptor() {
return tensorflow.tfprof.TfprofOutput.internal_static_tensorflow_tfprof_GraphNodeProto_descriptor;
}
@SuppressWarnings({"rawtypes"})
@java.lang.Override
protected com.google.protobuf.MapField internalGetMapField(
int number) {
switch (number) {
case 16:
return internalGetInputShapes();
default:
throw new RuntimeException(
"Invalid map field number: " + number);
}
}
@java.lang.Override
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internalGetFieldAccessorTable() {
return tensorflow.tfprof.TfprofOutput.internal_static_tensorflow_tfprof_GraphNodeProto_fieldAccessorTable
.ensureFieldAccessorsInitialized(
tensorflow.tfprof.TfprofOutput.GraphNodeProto.class, tensorflow.tfprof.TfprofOutput.GraphNodeProto.Builder.class);
}
private int bitField0_;
public static final int NAME_FIELD_NUMBER = 1;
private volatile java.lang.Object name_;
/**
*
* op name.
*
*
* string name = 1;
*/
public java.lang.String getName() {
java.lang.Object ref = name_;
if (ref instanceof java.lang.String) {
return (java.lang.String) ref;
} else {
com.google.protobuf.ByteString bs =
(com.google.protobuf.ByteString) ref;
java.lang.String s = bs.toStringUtf8();
name_ = s;
return s;
}
}
/**
*
* op name.
*
*
* string name = 1;
*/
public com.google.protobuf.ByteString
getNameBytes() {
java.lang.Object ref = name_;
if (ref instanceof java.lang.String) {
com.google.protobuf.ByteString b =
com.google.protobuf.ByteString.copyFromUtf8(
(java.lang.String) ref);
name_ = b;
return b;
} else {
return (com.google.protobuf.ByteString) ref;
}
}
public static final int TENSOR_VALUE_FIELD_NUMBER = 15;
private tensorflow.tfprof.TfprofOutput.TFProfTensorProto tensorValue_;
/**
*
* tensor value restored from checkpoint.
*
*
* .tensorflow.tfprof.TFProfTensorProto tensor_value = 15;
*/
public boolean hasTensorValue() {
return tensorValue_ != null;
}
/**
*
* tensor value restored from checkpoint.
*
*
* .tensorflow.tfprof.TFProfTensorProto tensor_value = 15;
*/
public tensorflow.tfprof.TfprofOutput.TFProfTensorProto getTensorValue() {
return tensorValue_ == null ? tensorflow.tfprof.TfprofOutput.TFProfTensorProto.getDefaultInstance() : tensorValue_;
}
/**
*
* tensor value restored from checkpoint.
*
*
* .tensorflow.tfprof.TFProfTensorProto tensor_value = 15;
*/
public tensorflow.tfprof.TfprofOutput.TFProfTensorProtoOrBuilder getTensorValueOrBuilder() {
return getTensorValue();
}
public static final int RUN_COUNT_FIELD_NUMBER = 21;
private long runCount_;
/**
*
* op execution time.
* A node can be defined once but run multiple times in tf.while_loop.
* the times sum up all different runs.
*
*
* int64 run_count = 21;
*/
public long getRunCount() {
return runCount_;
}
public static final int EXEC_MICROS_FIELD_NUMBER = 2;
private long execMicros_;
/**
* int64 exec_micros = 2;
*/
public long getExecMicros() {
return execMicros_;
}
public static final int ACCELERATOR_EXEC_MICROS_FIELD_NUMBER = 17;
private long acceleratorExecMicros_;
/**
* int64 accelerator_exec_micros = 17;
*/
public long getAcceleratorExecMicros() {
return acceleratorExecMicros_;
}
public static final int CPU_EXEC_MICROS_FIELD_NUMBER = 18;
private long cpuExecMicros_;
/**
* int64 cpu_exec_micros = 18;
*/
public long getCpuExecMicros() {
return cpuExecMicros_;
}
public static final int REQUESTED_BYTES_FIELD_NUMBER = 3;
private long requestedBytes_;
/**
*
* Total bytes requested by the op.
*
*
* int64 requested_bytes = 3;
*/
public long getRequestedBytes() {
return requestedBytes_;
}
public static final int PEAK_BYTES_FIELD_NUMBER = 24;
private long peakBytes_;
/**
*
* Max bytes allocated and being used by the op at a point.
*
*
* int64 peak_bytes = 24;
*/
public long getPeakBytes() {
return peakBytes_;
}
public static final int RESIDUAL_BYTES_FIELD_NUMBER = 25;
private long residualBytes_;
/**
*
* Total bytes requested by the op and not released before end.
*
*
* int64 residual_bytes = 25;
*/
public long getResidualBytes() {
return residualBytes_;
}
public static final int OUTPUT_BYTES_FIELD_NUMBER = 26;
private long outputBytes_;
/**
*
* Total bytes output by the op (not necessarily allocated by the op).
*
*
* int64 output_bytes = 26;
*/
public long getOutputBytes() {
return outputBytes_;
}
public static final int PARAMETERS_FIELD_NUMBER = 4;
private long parameters_;
/**
*
* Number of parameters if available.
*
*
* int64 parameters = 4;
*/
public long getParameters() {
return parameters_;
}
public static final int FLOAT_OPS_FIELD_NUMBER = 13;
private long floatOps_;
/**
*
* Number of float operations.
*
*
* int64 float_ops = 13;
*/
public long getFloatOps() {
return floatOps_;
}
public static final int DEVICES_FIELD_NUMBER = 10;
private com.google.protobuf.LazyStringList devices_;
/**
*
* Device the op is assigned to.
* Since an op can fire multiple kernel calls, there can be multiple devices.
*
*
* repeated string devices = 10;
*/
public com.google.protobuf.ProtocolStringList
getDevicesList() {
return devices_;
}
/**
*
* Device the op is assigned to.
* Since an op can fire multiple kernel calls, there can be multiple devices.
*
*
* repeated string devices = 10;
*/
public int getDevicesCount() {
return devices_.size();
}
/**
*
* Device the op is assigned to.
* Since an op can fire multiple kernel calls, there can be multiple devices.
*
*
* repeated string devices = 10;
*/
public java.lang.String getDevices(int index) {
return devices_.get(index);
}
/**
*
* Device the op is assigned to.
* Since an op can fire multiple kernel calls, there can be multiple devices.
*
*
* repeated string devices = 10;
*/
public com.google.protobuf.ByteString
getDevicesBytes(int index) {
return devices_.getByteString(index);
}
public static final int TOTAL_DEFINITION_COUNT_FIELD_NUMBER = 23;
private long totalDefinitionCount_;
/**
*
* The following are the aggregated stats from all *accounted* children and
* the node itself. The actual children depend on the data structure used.
* In graph view, children are inputs recursively.
* In scope view, children are nodes under the name scope.
*
*
* int64 total_definition_count = 23;
*/
public long getTotalDefinitionCount() {
return totalDefinitionCount_;
}
public static final int TOTAL_RUN_COUNT_FIELD_NUMBER = 22;
private long totalRunCount_;
/**
* int64 total_run_count = 22;
*/
public long getTotalRunCount() {
return totalRunCount_;
}
public static final int TOTAL_EXEC_MICROS_FIELD_NUMBER = 6;
private long totalExecMicros_;
/**
* int64 total_exec_micros = 6;
*/
public long getTotalExecMicros() {
return totalExecMicros_;
}
public static final int TOTAL_ACCELERATOR_EXEC_MICROS_FIELD_NUMBER = 19;
private long totalAcceleratorExecMicros_;
/**
* int64 total_accelerator_exec_micros = 19;
*/
public long getTotalAcceleratorExecMicros() {
return totalAcceleratorExecMicros_;
}
public static final int TOTAL_CPU_EXEC_MICROS_FIELD_NUMBER = 20;
private long totalCpuExecMicros_;
/**
* int64 total_cpu_exec_micros = 20;
*/
public long getTotalCpuExecMicros() {
return totalCpuExecMicros_;
}
public static final int TOTAL_REQUESTED_BYTES_FIELD_NUMBER = 7;
private long totalRequestedBytes_;
/**
* int64 total_requested_bytes = 7;
*/
public long getTotalRequestedBytes() {
return totalRequestedBytes_;
}
public static final int TOTAL_PEAK_BYTES_FIELD_NUMBER = 27;
private long totalPeakBytes_;
/**
* int64 total_peak_bytes = 27;
*/
public long getTotalPeakBytes() {
return totalPeakBytes_;
}
public static final int TOTAL_RESIDUAL_BYTES_FIELD_NUMBER = 28;
private long totalResidualBytes_;
/**
* int64 total_residual_bytes = 28;
*/
public long getTotalResidualBytes() {
return totalResidualBytes_;
}
public static final int TOTAL_OUTPUT_BYTES_FIELD_NUMBER = 29;
private long totalOutputBytes_;
/**
* int64 total_output_bytes = 29;
*/
public long getTotalOutputBytes() {
return totalOutputBytes_;
}
public static final int TOTAL_PARAMETERS_FIELD_NUMBER = 8;
private long totalParameters_;
/**
* int64 total_parameters = 8;
*/
public long getTotalParameters() {
return totalParameters_;
}
public static final int TOTAL_FLOAT_OPS_FIELD_NUMBER = 14;
private long totalFloatOps_;
/**
* int64 total_float_ops = 14;
*/
public long getTotalFloatOps() {
return totalFloatOps_;
}
public static final int SHAPES_FIELD_NUMBER = 11;
private java.util.List shapes_;
/**
*
* shape information, if available.
* TODO(xpan): Why is this repeated?
*
*
* repeated .tensorflow.TensorShapeProto shapes = 11;
*/
public java.util.List getShapesList() {
return shapes_;
}
/**
*
* shape information, if available.
* TODO(xpan): Why is this repeated?
*
*
* repeated .tensorflow.TensorShapeProto shapes = 11;
*/
public java.util.List
getShapesOrBuilderList() {
return shapes_;
}
/**
*
* shape information, if available.
* TODO(xpan): Why is this repeated?
*
*
* repeated .tensorflow.TensorShapeProto shapes = 11;
*/
public int getShapesCount() {
return shapes_.size();
}
/**
*
* shape information, if available.
* TODO(xpan): Why is this repeated?
*
*
* repeated .tensorflow.TensorShapeProto shapes = 11;
*/
public org.tensorflow.framework.TensorShapeProto getShapes(int index) {
return shapes_.get(index);
}
/**
*
* shape information, if available.
* TODO(xpan): Why is this repeated?
*
*
* repeated .tensorflow.TensorShapeProto shapes = 11;
*/
public org.tensorflow.framework.TensorShapeProtoOrBuilder getShapesOrBuilder(
int index) {
return shapes_.get(index);
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static final com.google.protobuf.MapEntry<
java.lang.Integer, org.tensorflow.framework.TensorShapeProto> defaultEntry =
com.google.protobuf.MapEntry
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tensorflow.tfprof.TfprofOutput.internal_static_tensorflow_tfprof_GraphNodeProto_InputShapesEntry_descriptor,
com.google.protobuf.WireFormat.FieldType.INT32,
0,
com.google.protobuf.WireFormat.FieldType.MESSAGE,
org.tensorflow.framework.TensorShapeProto.getDefaultInstance());
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private com.google.protobuf.MapField<
java.lang.Integer, org.tensorflow.framework.TensorShapeProto> inputShapes_;
private com.google.protobuf.MapField
internalGetInputShapes() {
if (inputShapes_ == null) {
return com.google.protobuf.MapField.emptyMapField(
InputShapesDefaultEntryHolder.defaultEntry);
}
return inputShapes_;
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* map<int32, .tensorflow.TensorShapeProto> input_shapes = 16;
*/
public boolean containsInputShapes(
int key) {
return internalGetInputShapes().getMap().containsKey(key);
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/**
* Use {@link #getInputShapesMap()} instead.
*/
@java.lang.Deprecated
public java.util.Map getInputShapes() {
return getInputShapesMap();
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/**
* map<int32, .tensorflow.TensorShapeProto> input_shapes = 16;
*/
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return internalGetInputShapes().getMap();
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/**
* map<int32, .tensorflow.TensorShapeProto> input_shapes = 16;
*/
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int key,
org.tensorflow.framework.TensorShapeProto defaultValue) {
java.util.Map map =
internalGetInputShapes().getMap();
return map.containsKey(key) ? map.get(key) : defaultValue;
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*/
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int key) {
java.util.Map map =
internalGetInputShapes().getMap();
if (!map.containsKey(key)) {
throw new java.lang.IllegalArgumentException();
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return map.get(key);
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public static final int CHILDREN_FIELD_NUMBER = 12;
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/**
*
* Descendants of the graph. The actual descendants depend on the data
* structure used (scope, graph).
*
*
* repeated .tensorflow.tfprof.GraphNodeProto children = 12;
*/
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/**
*
* Descendants of the graph. The actual descendants depend on the data
* structure used (scope, graph).
*
*
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*/
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return children_;
}
/**
*
* Descendants of the graph. The actual descendants depend on the data
* structure used (scope, graph).
*
*
* repeated .tensorflow.tfprof.GraphNodeProto children = 12;
*/
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return children_.size();
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/**
*
* Descendants of the graph. The actual descendants depend on the data
* structure used (scope, graph).
*
*
* repeated .tensorflow.tfprof.GraphNodeProto children = 12;
*/
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return children_.get(index);
}
/**
*
* Descendants of the graph. The actual descendants depend on the data
* structure used (scope, graph).
*
*
* repeated .tensorflow.tfprof.GraphNodeProto children = 12;
*/
public tensorflow.tfprof.TfprofOutput.GraphNodeProtoOrBuilder getChildrenOrBuilder(
int index) {
return children_.get(index);
}
private byte memoizedIsInitialized = -1;
@java.lang.Override
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byte isInitialized = memoizedIsInitialized;
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@java.lang.Override
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com.google.protobuf.GeneratedMessageV3.writeString(output, 1, name_);
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com.google.protobuf.GeneratedMessageV3
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if (acceleratorExecMicros_ != 0L) {
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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;
if (!getNameBytes().isEmpty()) {
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com.google.protobuf.MapEntry
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size += unknownFields.getSerializedSize();
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@java.lang.Override
public boolean equals(final java.lang.Object obj) {
if (obj == this) {
return true;
}
if (!(obj instanceof tensorflow.tfprof.TfprofOutput.GraphNodeProto)) {
return super.equals(obj);
}
tensorflow.tfprof.TfprofOutput.GraphNodeProto other = (tensorflow.tfprof.TfprofOutput.GraphNodeProto) obj;
boolean result = true;
result = result && getName()
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result = result && (hasTensorValue() == other.hasTensorValue());
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result = result && (getRunCount()
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result = result && (getExecMicros()
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result = result && (getParameters()
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result = result && (getFloatOps()
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result = result && getDevicesList()
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result = result && (getTotalDefinitionCount()
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result = result && (getTotalRunCount()
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result = result && (getTotalExecMicros()
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result = result && (getTotalAcceleratorExecMicros()
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result = result && (getTotalCpuExecMicros()
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result = result && (getTotalRequestedBytes()
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result = result && (getTotalPeakBytes()
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result = result && (getTotalResidualBytes()
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result = result && (getTotalOutputBytes()
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result = result && (getTotalFloatOps()
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result = result && getShapesList()
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result = result && internalGetInputShapes().equals(
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result = result && getChildrenList()
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result = result && unknownFields.equals(other.unknownFields);
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int hash = 41;
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com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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public static tensorflow.tfprof.TfprofOutput.GraphNodeProto parseFrom(
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com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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public Builder mergeFrom(tensorflow.tfprof.TfprofOutput.GraphNodeProto other) {
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if (!other.getName().isEmpty()) {
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@java.lang.Override
public final boolean isInitialized() {
return true;
}
@java.lang.Override
public Builder mergeFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
tensorflow.tfprof.TfprofOutput.GraphNodeProto parsedMessage = null;
try {
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parsedMessage = (tensorflow.tfprof.TfprofOutput.GraphNodeProto) e.getUnfinishedMessage();
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private int bitField0_;
private java.lang.Object name_ = "";
/**
*
* op name.
*
*
* string name = 1;
*/
public java.lang.String getName() {
java.lang.Object ref = name_;
if (!(ref instanceof java.lang.String)) {
com.google.protobuf.ByteString bs =
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java.lang.String s = bs.toStringUtf8();
name_ = s;
return s;
} else {
return (java.lang.String) ref;
}
}
/**
*
* op name.
*
*
* string name = 1;
*/
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getNameBytes() {
java.lang.Object ref = name_;
if (ref instanceof String) {
com.google.protobuf.ByteString b =
com.google.protobuf.ByteString.copyFromUtf8(
(java.lang.String) ref);
name_ = b;
return b;
} else {
return (com.google.protobuf.ByteString) ref;
}
}
/**
*
* op name.
*
*
* string name = 1;
*/
public Builder setName(
java.lang.String value) {
if (value == null) {
throw new NullPointerException();
}
name_ = value;
onChanged();
return this;
}
/**
*
* op name.
*
*
* string name = 1;
*/
public Builder clearName() {
name_ = getDefaultInstance().getName();
onChanged();
return this;
}
/**
*
* op name.
*
*
* string name = 1;
*/
public Builder setNameBytes(
com.google.protobuf.ByteString value) {
if (value == null) {
throw new NullPointerException();
}
checkByteStringIsUtf8(value);
name_ = value;
onChanged();
return this;
}
private tensorflow.tfprof.TfprofOutput.TFProfTensorProto tensorValue_ = null;
private com.google.protobuf.SingleFieldBuilderV3<
tensorflow.tfprof.TfprofOutput.TFProfTensorProto, tensorflow.tfprof.TfprofOutput.TFProfTensorProto.Builder, tensorflow.tfprof.TfprofOutput.TFProfTensorProtoOrBuilder> tensorValueBuilder_;
/**
*
* tensor value restored from checkpoint.
*
*
* .tensorflow.tfprof.TFProfTensorProto tensor_value = 15;
*/
public boolean hasTensorValue() {
return tensorValueBuilder_ != null || tensorValue_ != null;
}
/**
*
* tensor value restored from checkpoint.
*
*
* .tensorflow.tfprof.TFProfTensorProto tensor_value = 15;
*/
public tensorflow.tfprof.TfprofOutput.TFProfTensorProto getTensorValue() {
if (tensorValueBuilder_ == null) {
return tensorValue_ == null ? tensorflow.tfprof.TfprofOutput.TFProfTensorProto.getDefaultInstance() : tensorValue_;
} else {
return tensorValueBuilder_.getMessage();
}
}
/**
*
* tensor value restored from checkpoint.
*
*
* .tensorflow.tfprof.TFProfTensorProto tensor_value = 15;
*/
public Builder setTensorValue(tensorflow.tfprof.TfprofOutput.TFProfTensorProto value) {
if (tensorValueBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
tensorValue_ = value;
onChanged();
} else {
tensorValueBuilder_.setMessage(value);
}
return this;
}
/**
*
* tensor value restored from checkpoint.
*
*
* .tensorflow.tfprof.TFProfTensorProto tensor_value = 15;
*/
public Builder setTensorValue(
tensorflow.tfprof.TfprofOutput.TFProfTensorProto.Builder builderForValue) {
if (tensorValueBuilder_ == null) {
tensorValue_ = builderForValue.build();
onChanged();
} else {
tensorValueBuilder_.setMessage(builderForValue.build());
}
return this;
}
/**
*
* tensor value restored from checkpoint.
*
*
* .tensorflow.tfprof.TFProfTensorProto tensor_value = 15;
*/
public Builder mergeTensorValue(tensorflow.tfprof.TfprofOutput.TFProfTensorProto value) {
if (tensorValueBuilder_ == null) {
if (tensorValue_ != null) {
tensorValue_ =
tensorflow.tfprof.TfprofOutput.TFProfTensorProto.newBuilder(tensorValue_).mergeFrom(value).buildPartial();
} else {
tensorValue_ = value;
}
onChanged();
} else {
tensorValueBuilder_.mergeFrom(value);
}
return this;
}
/**
*
* tensor value restored from checkpoint.
*
*
* .tensorflow.tfprof.TFProfTensorProto tensor_value = 15;
*/
public Builder clearTensorValue() {
if (tensorValueBuilder_ == null) {
tensorValue_ = null;
onChanged();
} else {
tensorValue_ = null;
tensorValueBuilder_ = null;
}
return this;
}
/**
*
* tensor value restored from checkpoint.
*
*
* .tensorflow.tfprof.TFProfTensorProto tensor_value = 15;
*/
public tensorflow.tfprof.TfprofOutput.TFProfTensorProto.Builder getTensorValueBuilder() {
onChanged();
return getTensorValueFieldBuilder().getBuilder();
}
/**
*
* tensor value restored from checkpoint.
*
*
* .tensorflow.tfprof.TFProfTensorProto tensor_value = 15;
*/
public tensorflow.tfprof.TfprofOutput.TFProfTensorProtoOrBuilder getTensorValueOrBuilder() {
if (tensorValueBuilder_ != null) {
return tensorValueBuilder_.getMessageOrBuilder();
} else {
return tensorValue_ == null ?
tensorflow.tfprof.TfprofOutput.TFProfTensorProto.getDefaultInstance() : tensorValue_;
}
}
/**
*
* tensor value restored from checkpoint.
*
*
* .tensorflow.tfprof.TFProfTensorProto tensor_value = 15;
*/
private com.google.protobuf.SingleFieldBuilderV3<
tensorflow.tfprof.TfprofOutput.TFProfTensorProto, tensorflow.tfprof.TfprofOutput.TFProfTensorProto.Builder, tensorflow.tfprof.TfprofOutput.TFProfTensorProtoOrBuilder>
getTensorValueFieldBuilder() {
if (tensorValueBuilder_ == null) {
tensorValueBuilder_ = new com.google.protobuf.SingleFieldBuilderV3<
tensorflow.tfprof.TfprofOutput.TFProfTensorProto, tensorflow.tfprof.TfprofOutput.TFProfTensorProto.Builder, tensorflow.tfprof.TfprofOutput.TFProfTensorProtoOrBuilder>(
getTensorValue(),
getParentForChildren(),
isClean());
tensorValue_ = null;
}
return tensorValueBuilder_;
}
private long runCount_ ;
/**
*
* op execution time.
* A node can be defined once but run multiple times in tf.while_loop.
* the times sum up all different runs.
*
*
* int64 run_count = 21;
*/
public long getRunCount() {
return runCount_;
}
/**
*
* op execution time.
* A node can be defined once but run multiple times in tf.while_loop.
* the times sum up all different runs.
*
*
* int64 run_count = 21;
*/
public Builder setRunCount(long value) {
runCount_ = value;
onChanged();
return this;
}
/**
*
* op execution time.
* A node can be defined once but run multiple times in tf.while_loop.
* the times sum up all different runs.
*
*
* int64 run_count = 21;
*/
public Builder clearRunCount() {
runCount_ = 0L;
onChanged();
return this;
}
private long execMicros_ ;
/**
* int64 exec_micros = 2;
*/
public long getExecMicros() {
return execMicros_;
}
/**
* int64 exec_micros = 2;
*/
public Builder setExecMicros(long value) {
execMicros_ = value;
onChanged();
return this;
}
/**
* int64 exec_micros = 2;
*/
public Builder clearExecMicros() {
execMicros_ = 0L;
onChanged();
return this;
}
private long acceleratorExecMicros_ ;
/**
* int64 accelerator_exec_micros = 17;
*/
public long getAcceleratorExecMicros() {
return acceleratorExecMicros_;
}
/**
* int64 accelerator_exec_micros = 17;
*/
public Builder setAcceleratorExecMicros(long value) {
acceleratorExecMicros_ = value;
onChanged();
return this;
}
/**
* int64 accelerator_exec_micros = 17;
*/
public Builder clearAcceleratorExecMicros() {
acceleratorExecMicros_ = 0L;
onChanged();
return this;
}
private long cpuExecMicros_ ;
/**
* int64 cpu_exec_micros = 18;
*/
public long getCpuExecMicros() {
return cpuExecMicros_;
}
/**
* int64 cpu_exec_micros = 18;
*/
public Builder setCpuExecMicros(long value) {
cpuExecMicros_ = value;
onChanged();
return this;
}
/**
* int64 cpu_exec_micros = 18;
*/
public Builder clearCpuExecMicros() {
cpuExecMicros_ = 0L;
onChanged();
return this;
}
private long requestedBytes_ ;
/**
*
* Total bytes requested by the op.
*
*
* int64 requested_bytes = 3;
*/
public long getRequestedBytes() {
return requestedBytes_;
}
/**
*
* Total bytes requested by the op.
*
*
* int64 requested_bytes = 3;
*/
public Builder setRequestedBytes(long value) {
requestedBytes_ = value;
onChanged();
return this;
}
/**
*
* Total bytes requested by the op.
*
*
* int64 requested_bytes = 3;
*/
public Builder clearRequestedBytes() {
requestedBytes_ = 0L;
onChanged();
return this;
}
private long peakBytes_ ;
/**
*
* Max bytes allocated and being used by the op at a point.
*
*
* int64 peak_bytes = 24;
*/
public long getPeakBytes() {
return peakBytes_;
}
/**
*
* Max bytes allocated and being used by the op at a point.
*
*
* int64 peak_bytes = 24;
*/
public Builder setPeakBytes(long value) {
peakBytes_ = value;
onChanged();
return this;
}
/**
*
* Max bytes allocated and being used by the op at a point.
*
*
* int64 peak_bytes = 24;
*/
public Builder clearPeakBytes() {
peakBytes_ = 0L;
onChanged();
return this;
}
private long residualBytes_ ;
/**
*
* Total bytes requested by the op and not released before end.
*
*
* int64 residual_bytes = 25;
*/
public long getResidualBytes() {
return residualBytes_;
}
/**
*
* Total bytes requested by the op and not released before end.
*
*
* int64 residual_bytes = 25;
*/
public Builder setResidualBytes(long value) {
residualBytes_ = value;
onChanged();
return this;
}
/**
*
* Total bytes requested by the op and not released before end.
*
*
* int64 residual_bytes = 25;
*/
public Builder clearResidualBytes() {
residualBytes_ = 0L;
onChanged();
return this;
}
private long outputBytes_ ;
/**
*
* Total bytes output by the op (not necessarily allocated by the op).
*
*
* int64 output_bytes = 26;
*/
public long getOutputBytes() {
return outputBytes_;
}
/**
*
* Total bytes output by the op (not necessarily allocated by the op).
*
*
* int64 output_bytes = 26;
*/
public Builder setOutputBytes(long value) {
outputBytes_ = value;
onChanged();
return this;
}
/**
*
* Total bytes output by the op (not necessarily allocated by the op).
*
*
* int64 output_bytes = 26;
*/
public Builder clearOutputBytes() {
outputBytes_ = 0L;
onChanged();
return this;
}
private long parameters_ ;
/**
*
* Number of parameters if available.
*
*
* int64 parameters = 4;
*/
public long getParameters() {
return parameters_;
}
/**
*
* Number of parameters if available.
*
*
* int64 parameters = 4;
*/
public Builder setParameters(long value) {
parameters_ = value;
onChanged();
return this;
}
/**
*
* Number of parameters if available.
*
*
* int64 parameters = 4;
*/
public Builder clearParameters() {
parameters_ = 0L;
onChanged();
return this;
}
private long floatOps_ ;
/**
*
* Number of float operations.
*
*
* int64 float_ops = 13;
*/
public long getFloatOps() {
return floatOps_;
}
/**
*
* Number of float operations.
*
*
* int64 float_ops = 13;
*/
public Builder setFloatOps(long value) {
floatOps_ = value;
onChanged();
return this;
}
/**
*
* Number of float operations.
*
*
* int64 float_ops = 13;
*/
public Builder clearFloatOps() {
floatOps_ = 0L;
onChanged();
return this;
}
private com.google.protobuf.LazyStringList devices_ = com.google.protobuf.LazyStringArrayList.EMPTY;
private void ensureDevicesIsMutable() {
if (!((bitField0_ & 0x00001000) == 0x00001000)) {
devices_ = new com.google.protobuf.LazyStringArrayList(devices_);
bitField0_ |= 0x00001000;
}
}
/**
*
* Device the op is assigned to.
* Since an op can fire multiple kernel calls, there can be multiple devices.
*
*
* repeated string devices = 10;
*/
public com.google.protobuf.ProtocolStringList
getDevicesList() {
return devices_.getUnmodifiableView();
}
/**
*
* Device the op is assigned to.
* Since an op can fire multiple kernel calls, there can be multiple devices.
*
*
* repeated string devices = 10;
*/
public int getDevicesCount() {
return devices_.size();
}
/**
*
* Device the op is assigned to.
* Since an op can fire multiple kernel calls, there can be multiple devices.
*
*
* repeated string devices = 10;
*/
public java.lang.String getDevices(int index) {
return devices_.get(index);
}
/**
*
* Device the op is assigned to.
* Since an op can fire multiple kernel calls, there can be multiple devices.
*
*
* repeated string devices = 10;
*/
public com.google.protobuf.ByteString
getDevicesBytes(int index) {
return devices_.getByteString(index);
}
/**
*
* Device the op is assigned to.
* Since an op can fire multiple kernel calls, there can be multiple devices.
*
*
* repeated string devices = 10;
*/
public Builder setDevices(
int index, java.lang.String value) {
if (value == null) {
throw new NullPointerException();
}
ensureDevicesIsMutable();
devices_.set(index, value);
onChanged();
return this;
}
/**
*
* Device the op is assigned to.
* Since an op can fire multiple kernel calls, there can be multiple devices.
*
*
* repeated string devices = 10;
*/
public Builder addDevices(
java.lang.String value) {
if (value == null) {
throw new NullPointerException();
}
ensureDevicesIsMutable();
devices_.add(value);
onChanged();
return this;
}
/**
*
* Device the op is assigned to.
* Since an op can fire multiple kernel calls, there can be multiple devices.
*
*
* repeated string devices = 10;
*/
public Builder addAllDevices(
java.lang.Iterable values) {
ensureDevicesIsMutable();
com.google.protobuf.AbstractMessageLite.Builder.addAll(
values, devices_);
onChanged();
return this;
}
/**
*
* Device the op is assigned to.
* Since an op can fire multiple kernel calls, there can be multiple devices.
*
*
* repeated string devices = 10;
*/
public Builder clearDevices() {
devices_ = com.google.protobuf.LazyStringArrayList.EMPTY;
bitField0_ = (bitField0_ & ~0x00001000);
onChanged();
return this;
}
/**
*
* Device the op is assigned to.
* Since an op can fire multiple kernel calls, there can be multiple devices.
*
*
* repeated string devices = 10;
*/
public Builder addDevicesBytes(
com.google.protobuf.ByteString value) {
if (value == null) {
throw new NullPointerException();
}
checkByteStringIsUtf8(value);
ensureDevicesIsMutable();
devices_.add(value);
onChanged();
return this;
}
private long totalDefinitionCount_ ;
/**
*
* The following are the aggregated stats from all *accounted* children and
* the node itself. The actual children depend on the data structure used.
* In graph view, children are inputs recursively.
* In scope view, children are nodes under the name scope.
*
*
* int64 total_definition_count = 23;
*/
public long getTotalDefinitionCount() {
return totalDefinitionCount_;
}
/**
*
* The following are the aggregated stats from all *accounted* children and
* the node itself. The actual children depend on the data structure used.
* In graph view, children are inputs recursively.
* In scope view, children are nodes under the name scope.
*
*
* int64 total_definition_count = 23;
*/
public Builder setTotalDefinitionCount(long value) {
totalDefinitionCount_ = value;
onChanged();
return this;
}
/**
*
* The following are the aggregated stats from all *accounted* children and
* the node itself. The actual children depend on the data structure used.
* In graph view, children are inputs recursively.
* In scope view, children are nodes under the name scope.
*
*
* int64 total_definition_count = 23;
*/
public Builder clearTotalDefinitionCount() {
totalDefinitionCount_ = 0L;
onChanged();
return this;
}
private long totalRunCount_ ;
/**
* int64 total_run_count = 22;
*/
public long getTotalRunCount() {
return totalRunCount_;
}
/**
* int64 total_run_count = 22;
*/
public Builder setTotalRunCount(long value) {
totalRunCount_ = value;
onChanged();
return this;
}
/**
* int64 total_run_count = 22;
*/
public Builder clearTotalRunCount() {
totalRunCount_ = 0L;
onChanged();
return this;
}
private long totalExecMicros_ ;
/**
* int64 total_exec_micros = 6;
*/
public long getTotalExecMicros() {
return totalExecMicros_;
}
/**
* int64 total_exec_micros = 6;
*/
public Builder setTotalExecMicros(long value) {
totalExecMicros_ = value;
onChanged();
return this;
}
/**
* int64 total_exec_micros = 6;
*/
public Builder clearTotalExecMicros() {
totalExecMicros_ = 0L;
onChanged();
return this;
}
private long totalAcceleratorExecMicros_ ;
/**
* int64 total_accelerator_exec_micros = 19;
*/
public long getTotalAcceleratorExecMicros() {
return totalAcceleratorExecMicros_;
}
/**
* int64 total_accelerator_exec_micros = 19;
*/
public Builder setTotalAcceleratorExecMicros(long value) {
totalAcceleratorExecMicros_ = value;
onChanged();
return this;
}
/**
* int64 total_accelerator_exec_micros = 19;
*/
public Builder clearTotalAcceleratorExecMicros() {
totalAcceleratorExecMicros_ = 0L;
onChanged();
return this;
}
private long totalCpuExecMicros_ ;
/**
* int64 total_cpu_exec_micros = 20;
*/
public long getTotalCpuExecMicros() {
return totalCpuExecMicros_;
}
/**
* int64 total_cpu_exec_micros = 20;
*/
public Builder setTotalCpuExecMicros(long value) {
totalCpuExecMicros_ = value;
onChanged();
return this;
}
/**
* int64 total_cpu_exec_micros = 20;
*/
public Builder clearTotalCpuExecMicros() {
totalCpuExecMicros_ = 0L;
onChanged();
return this;
}
private long totalRequestedBytes_ ;
/**
* int64 total_requested_bytes = 7;
*/
public long getTotalRequestedBytes() {
return totalRequestedBytes_;
}
/**
* int64 total_requested_bytes = 7;
*/
public Builder setTotalRequestedBytes(long value) {
totalRequestedBytes_ = value;
onChanged();
return this;
}
/**
* int64 total_requested_bytes = 7;
*/
public Builder clearTotalRequestedBytes() {
totalRequestedBytes_ = 0L;
onChanged();
return this;
}
private long totalPeakBytes_ ;
/**
* int64 total_peak_bytes = 27;
*/
public long getTotalPeakBytes() {
return totalPeakBytes_;
}
/**
* int64 total_peak_bytes = 27;
*/
public Builder setTotalPeakBytes(long value) {
totalPeakBytes_ = value;
onChanged();
return this;
}
/**
* int64 total_peak_bytes = 27;
*/
public Builder clearTotalPeakBytes() {
totalPeakBytes_ = 0L;
onChanged();
return this;
}
private long totalResidualBytes_ ;
/**
* int64 total_residual_bytes = 28;
*/
public long getTotalResidualBytes() {
return totalResidualBytes_;
}
/**
* int64 total_residual_bytes = 28;
*/
public Builder setTotalResidualBytes(long value) {
totalResidualBytes_ = value;
onChanged();
return this;
}
/**
* int64 total_residual_bytes = 28;
*/
public Builder clearTotalResidualBytes() {
totalResidualBytes_ = 0L;
onChanged();
return this;
}
private long totalOutputBytes_ ;
/**
* int64 total_output_bytes = 29;
*/
public long getTotalOutputBytes() {
return totalOutputBytes_;
}
/**
* int64 total_output_bytes = 29;
*/
public Builder setTotalOutputBytes(long value) {
totalOutputBytes_ = value;
onChanged();
return this;
}
/**
* int64 total_output_bytes = 29;
*/
public Builder clearTotalOutputBytes() {
totalOutputBytes_ = 0L;
onChanged();
return this;
}
private long totalParameters_ ;
/**
* int64 total_parameters = 8;
*/
public long getTotalParameters() {
return totalParameters_;
}
/**
* int64 total_parameters = 8;
*/
public Builder setTotalParameters(long value) {
totalParameters_ = value;
onChanged();
return this;
}
/**
* int64 total_parameters = 8;
*/
public Builder clearTotalParameters() {
totalParameters_ = 0L;
onChanged();
return this;
}
private long totalFloatOps_ ;
/**
* int64 total_float_ops = 14;
*/
public long getTotalFloatOps() {
return totalFloatOps_;
}
/**
* int64 total_float_ops = 14;
*/
public Builder setTotalFloatOps(long value) {
totalFloatOps_ = value;
onChanged();
return this;
}
/**
* int64 total_float_ops = 14;
*/
public Builder clearTotalFloatOps() {
totalFloatOps_ = 0L;
onChanged();
return this;
}
private java.util.List shapes_ =
java.util.Collections.emptyList();
private void ensureShapesIsMutable() {
if (!((bitField0_ & 0x01000000) == 0x01000000)) {
shapes_ = new java.util.ArrayList(shapes_);
bitField0_ |= 0x01000000;
}
}
private com.google.protobuf.RepeatedFieldBuilderV3<
org.tensorflow.framework.TensorShapeProto, org.tensorflow.framework.TensorShapeProto.Builder, org.tensorflow.framework.TensorShapeProtoOrBuilder> shapesBuilder_;
/**
*
* shape information, if available.
* TODO(xpan): Why is this repeated?
*
*
* repeated .tensorflow.TensorShapeProto shapes = 11;
*/
public java.util.List getShapesList() {
if (shapesBuilder_ == null) {
return java.util.Collections.unmodifiableList(shapes_);
} else {
return shapesBuilder_.getMessageList();
}
}
/**
*
* shape information, if available.
* TODO(xpan): Why is this repeated?
*
*
* repeated .tensorflow.TensorShapeProto shapes = 11;
*/
public int getShapesCount() {
if (shapesBuilder_ == null) {
return shapes_.size();
} else {
return shapesBuilder_.getCount();
}
}
/**
*
* shape information, if available.
* TODO(xpan): Why is this repeated?
*
*
* repeated .tensorflow.TensorShapeProto shapes = 11;
*/
public org.tensorflow.framework.TensorShapeProto getShapes(int index) {
if (shapesBuilder_ == null) {
return shapes_.get(index);
} else {
return shapesBuilder_.getMessage(index);
}
}
/**
*
* shape information, if available.
* TODO(xpan): Why is this repeated?
*
*
* repeated .tensorflow.TensorShapeProto shapes = 11;
*/
public Builder setShapes(
int index, org.tensorflow.framework.TensorShapeProto value) {
if (shapesBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensureShapesIsMutable();
shapes_.set(index, value);
onChanged();
} else {
shapesBuilder_.setMessage(index, value);
}
return this;
}
/**
*
* shape information, if available.
* TODO(xpan): Why is this repeated?
*
*
* repeated .tensorflow.TensorShapeProto shapes = 11;
*/
public Builder setShapes(
int index, org.tensorflow.framework.TensorShapeProto.Builder builderForValue) {
if (shapesBuilder_ == null) {
ensureShapesIsMutable();
shapes_.set(index, builderForValue.build());
onChanged();
} else {
shapesBuilder_.setMessage(index, builderForValue.build());
}
return this;
}
/**
*
* shape information, if available.
* TODO(xpan): Why is this repeated?
*
*
* repeated .tensorflow.TensorShapeProto shapes = 11;
*/
public Builder addShapes(org.tensorflow.framework.TensorShapeProto value) {
if (shapesBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensureShapesIsMutable();
shapes_.add(value);
onChanged();
} else {
shapesBuilder_.addMessage(value);
}
return this;
}
/**
*
* shape information, if available.
* TODO(xpan): Why is this repeated?
*
*
* repeated .tensorflow.TensorShapeProto shapes = 11;
*/
public Builder addShapes(
int index, org.tensorflow.framework.TensorShapeProto value) {
if (shapesBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensureShapesIsMutable();
shapes_.add(index, value);
onChanged();
} else {
shapesBuilder_.addMessage(index, value);
}
return this;
}
/**
*
* shape information, if available.
* TODO(xpan): Why is this repeated?
*
*
* repeated .tensorflow.TensorShapeProto shapes = 11;
*/
public Builder addShapes(
org.tensorflow.framework.TensorShapeProto.Builder builderForValue) {
if (shapesBuilder_ == null) {
ensureShapesIsMutable();
shapes_.add(builderForValue.build());
onChanged();
} else {
shapesBuilder_.addMessage(builderForValue.build());
}
return this;
}
/**
*
* shape information, if available.
* TODO(xpan): Why is this repeated?
*
*
* repeated .tensorflow.TensorShapeProto shapes = 11;
*/
public Builder addShapes(
int index, org.tensorflow.framework.TensorShapeProto.Builder builderForValue) {
if (shapesBuilder_ == null) {
ensureShapesIsMutable();
shapes_.add(index, builderForValue.build());
onChanged();
} else {
shapesBuilder_.addMessage(index, builderForValue.build());
}
return this;
}
/**
*
* shape information, if available.
* TODO(xpan): Why is this repeated?
*
*
* repeated .tensorflow.TensorShapeProto shapes = 11;
*/
public Builder addAllShapes(
java.lang.Iterable values) {
if (shapesBuilder_ == null) {
ensureShapesIsMutable();
com.google.protobuf.AbstractMessageLite.Builder.addAll(
values, shapes_);
onChanged();
} else {
shapesBuilder_.addAllMessages(values);
}
return this;
}
/**
*
* shape information, if available.
* TODO(xpan): Why is this repeated?
*
*
* repeated .tensorflow.TensorShapeProto shapes = 11;
*/
public Builder clearShapes() {
if (shapesBuilder_ == null) {
shapes_ = java.util.Collections.emptyList();
bitField0_ = (bitField0_ & ~0x01000000);
onChanged();
} else {
shapesBuilder_.clear();
}
return this;
}
/**
*
* shape information, if available.
* TODO(xpan): Why is this repeated?
*
*
* repeated .tensorflow.TensorShapeProto shapes = 11;
*/
public Builder removeShapes(int index) {
if (shapesBuilder_ == null) {
ensureShapesIsMutable();
shapes_.remove(index);
onChanged();
} else {
shapesBuilder_.remove(index);
}
return this;
}
/**
*
* shape information, if available.
* TODO(xpan): Why is this repeated?
*
*
* repeated .tensorflow.TensorShapeProto shapes = 11;
*/
public org.tensorflow.framework.TensorShapeProto.Builder getShapesBuilder(
int index) {
return getShapesFieldBuilder().getBuilder(index);
}
/**
*
* shape information, if available.
* TODO(xpan): Why is this repeated?
*
*
* repeated .tensorflow.TensorShapeProto shapes = 11;
*/
public org.tensorflow.framework.TensorShapeProtoOrBuilder getShapesOrBuilder(
int index) {
if (shapesBuilder_ == null) {
return shapes_.get(index); } else {
return shapesBuilder_.getMessageOrBuilder(index);
}
}
/**
*
* shape information, if available.
* TODO(xpan): Why is this repeated?
*
*
* repeated .tensorflow.TensorShapeProto shapes = 11;
*/
public java.util.List
getShapesOrBuilderList() {
if (shapesBuilder_ != null) {
return shapesBuilder_.getMessageOrBuilderList();
} else {
return java.util.Collections.unmodifiableList(shapes_);
}
}
/**
*
* shape information, if available.
* TODO(xpan): Why is this repeated?
*
*
* repeated .tensorflow.TensorShapeProto shapes = 11;
*/
public org.tensorflow.framework.TensorShapeProto.Builder addShapesBuilder() {
return getShapesFieldBuilder().addBuilder(
org.tensorflow.framework.TensorShapeProto.getDefaultInstance());
}
/**
*
* shape information, if available.
* TODO(xpan): Why is this repeated?
*
*
* repeated .tensorflow.TensorShapeProto shapes = 11;
*/
public org.tensorflow.framework.TensorShapeProto.Builder addShapesBuilder(
int index) {
return getShapesFieldBuilder().addBuilder(
index, org.tensorflow.framework.TensorShapeProto.getDefaultInstance());
}
/**
*
* shape information, if available.
* TODO(xpan): Why is this repeated?
*
*
* repeated .tensorflow.TensorShapeProto shapes = 11;
*/
public java.util.List
getShapesBuilderList() {
return getShapesFieldBuilder().getBuilderList();
}
private com.google.protobuf.RepeatedFieldBuilderV3<
org.tensorflow.framework.TensorShapeProto, org.tensorflow.framework.TensorShapeProto.Builder, org.tensorflow.framework.TensorShapeProtoOrBuilder>
getShapesFieldBuilder() {
if (shapesBuilder_ == null) {
shapesBuilder_ = new com.google.protobuf.RepeatedFieldBuilderV3<
org.tensorflow.framework.TensorShapeProto, org.tensorflow.framework.TensorShapeProto.Builder, org.tensorflow.framework.TensorShapeProtoOrBuilder>(
shapes_,
((bitField0_ & 0x01000000) == 0x01000000),
getParentForChildren(),
isClean());
shapes_ = null;
}
return shapesBuilder_;
}
private com.google.protobuf.MapField<
java.lang.Integer, org.tensorflow.framework.TensorShapeProto> inputShapes_;
private com.google.protobuf.MapField
internalGetInputShapes() {
if (inputShapes_ == null) {
return com.google.protobuf.MapField.emptyMapField(
InputShapesDefaultEntryHolder.defaultEntry);
}
return inputShapes_;
}
private com.google.protobuf.MapField
internalGetMutableInputShapes() {
onChanged();;
if (inputShapes_ == null) {
inputShapes_ = com.google.protobuf.MapField.newMapField(
InputShapesDefaultEntryHolder.defaultEntry);
}
if (!inputShapes_.isMutable()) {
inputShapes_ = inputShapes_.copy();
}
return inputShapes_;
}
public int getInputShapesCount() {
return internalGetInputShapes().getMap().size();
}
/**
* map<int32, .tensorflow.TensorShapeProto> input_shapes = 16;
*/
public boolean containsInputShapes(
int key) {
return internalGetInputShapes().getMap().containsKey(key);
}
/**
* Use {@link #getInputShapesMap()} instead.
*/
@java.lang.Deprecated
public java.util.Map getInputShapes() {
return getInputShapesMap();
}
/**
* map<int32, .tensorflow.TensorShapeProto> input_shapes = 16;
*/
public java.util.Map getInputShapesMap() {
return internalGetInputShapes().getMap();
}
/**
* map<int32, .tensorflow.TensorShapeProto> input_shapes = 16;
*/
public org.tensorflow.framework.TensorShapeProto getInputShapesOrDefault(
int key,
org.tensorflow.framework.TensorShapeProto defaultValue) {
java.util.Map map =
internalGetInputShapes().getMap();
return map.containsKey(key) ? map.get(key) : defaultValue;
}
/**
* map<int32, .tensorflow.TensorShapeProto> input_shapes = 16;
*/
public org.tensorflow.framework.TensorShapeProto getInputShapesOrThrow(
int key) {
java.util.Map map =
internalGetInputShapes().getMap();
if (!map.containsKey(key)) {
throw new java.lang.IllegalArgumentException();
}
return map.get(key);
}
public Builder clearInputShapes() {
internalGetMutableInputShapes().getMutableMap()
.clear();
return this;
}
/**
* map<int32, .tensorflow.TensorShapeProto> input_shapes = 16;
*/
public Builder removeInputShapes(
int key) {
internalGetMutableInputShapes().getMutableMap()
.remove(key);
return this;
}
/**
* Use alternate mutation accessors instead.
*/
@java.lang.Deprecated
public java.util.Map
getMutableInputShapes() {
return internalGetMutableInputShapes().getMutableMap();
}
/**
* map<int32, .tensorflow.TensorShapeProto> input_shapes = 16;
*/
public Builder putInputShapes(
int key,
org.tensorflow.framework.TensorShapeProto value) {
if (value == null) { throw new java.lang.NullPointerException(); }
internalGetMutableInputShapes().getMutableMap()
.put(key, value);
return this;
}
/**
* map<int32, .tensorflow.TensorShapeProto> input_shapes = 16;
*/
public Builder putAllInputShapes(
java.util.Map values) {
internalGetMutableInputShapes().getMutableMap()
.putAll(values);
return this;
}
private java.util.List children_ =
java.util.Collections.emptyList();
private void ensureChildrenIsMutable() {
if (!((bitField0_ & 0x04000000) == 0x04000000)) {
children_ = new java.util.ArrayList(children_);
bitField0_ |= 0x04000000;
}
}
private com.google.protobuf.RepeatedFieldBuilderV3<
tensorflow.tfprof.TfprofOutput.GraphNodeProto, tensorflow.tfprof.TfprofOutput.GraphNodeProto.Builder, tensorflow.tfprof.TfprofOutput.GraphNodeProtoOrBuilder> childrenBuilder_;
/**
*
* Descendants of the graph. The actual descendants depend on the data
* structure used (scope, graph).
*
*
* repeated .tensorflow.tfprof.GraphNodeProto children = 12;
*/
public java.util.List getChildrenList() {
if (childrenBuilder_ == null) {
return java.util.Collections.unmodifiableList(children_);
} else {
return childrenBuilder_.getMessageList();
}
}
/**
*
* Descendants of the graph. The actual descendants depend on the data
* structure used (scope, graph).
*
*
* repeated .tensorflow.tfprof.GraphNodeProto children = 12;
*/
public int getChildrenCount() {
if (childrenBuilder_ == null) {
return children_.size();
} else {
return childrenBuilder_.getCount();
}
}
/**
*
* Descendants of the graph. The actual descendants depend on the data
* structure used (scope, graph).
*
*
* repeated .tensorflow.tfprof.GraphNodeProto children = 12;
*/
public tensorflow.tfprof.TfprofOutput.GraphNodeProto getChildren(int index) {
if (childrenBuilder_ == null) {
return children_.get(index);
} else {
return childrenBuilder_.getMessage(index);
}
}
/**
*
* Descendants of the graph. The actual descendants depend on the data
* structure used (scope, graph).
*
*
* repeated .tensorflow.tfprof.GraphNodeProto children = 12;
*/
public Builder setChildren(
int index, tensorflow.tfprof.TfprofOutput.GraphNodeProto value) {
if (childrenBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensureChildrenIsMutable();
children_.set(index, value);
onChanged();
} else {
childrenBuilder_.setMessage(index, value);
}
return this;
}
/**
*
* Descendants of the graph. The actual descendants depend on the data
* structure used (scope, graph).
*
*
* repeated .tensorflow.tfprof.GraphNodeProto children = 12;
*/
public Builder setChildren(
int index, tensorflow.tfprof.TfprofOutput.GraphNodeProto.Builder builderForValue) {
if (childrenBuilder_ == null) {
ensureChildrenIsMutable();
children_.set(index, builderForValue.build());
onChanged();
} else {
childrenBuilder_.setMessage(index, builderForValue.build());
}
return this;
}
/**
*
* Descendants of the graph. The actual descendants depend on the data
* structure used (scope, graph).
*
*
* repeated .tensorflow.tfprof.GraphNodeProto children = 12;
*/
public Builder addChildren(tensorflow.tfprof.TfprofOutput.GraphNodeProto value) {
if (childrenBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensureChildrenIsMutable();
children_.add(value);
onChanged();
} else {
childrenBuilder_.addMessage(value);
}
return this;
}
/**
*
* Descendants of the graph. The actual descendants depend on the data
* structure used (scope, graph).
*
*
* repeated .tensorflow.tfprof.GraphNodeProto children = 12;
*/
public Builder addChildren(
int index, tensorflow.tfprof.TfprofOutput.GraphNodeProto value) {
if (childrenBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensureChildrenIsMutable();
children_.add(index, value);
onChanged();
} else {
childrenBuilder_.addMessage(index, value);
}
return this;
}
/**
*
* Descendants of the graph. The actual descendants depend on the data
* structure used (scope, graph).
*
*
* repeated .tensorflow.tfprof.GraphNodeProto children = 12;
*/
public Builder addChildren(
tensorflow.tfprof.TfprofOutput.GraphNodeProto.Builder builderForValue) {
if (childrenBuilder_ == null) {
ensureChildrenIsMutable();
children_.add(builderForValue.build());
onChanged();
} else {
childrenBuilder_.addMessage(builderForValue.build());
}
return this;
}
/**
*
* Descendants of the graph. The actual descendants depend on the data
* structure used (scope, graph).
*
*
* repeated .tensorflow.tfprof.GraphNodeProto children = 12;
*/
public Builder addChildren(
int index, tensorflow.tfprof.TfprofOutput.GraphNodeProto.Builder builderForValue) {
if (childrenBuilder_ == null) {
ensureChildrenIsMutable();
children_.add(index, builderForValue.build());
onChanged();
} else {
childrenBuilder_.addMessage(index, builderForValue.build());
}
return this;
}
/**
*
* Descendants of the graph. The actual descendants depend on the data
* structure used (scope, graph).
*
*
* repeated .tensorflow.tfprof.GraphNodeProto children = 12;
*/
public Builder addAllChildren(
java.lang.Iterable values) {
if (childrenBuilder_ == null) {
ensureChildrenIsMutable();
com.google.protobuf.AbstractMessageLite.Builder.addAll(
values, children_);
onChanged();
} else {
childrenBuilder_.addAllMessages(values);
}
return this;
}
/**
*
* Descendants of the graph. The actual descendants depend on the data
* structure used (scope, graph).
*
*
* repeated .tensorflow.tfprof.GraphNodeProto children = 12;
*/
public Builder clearChildren() {
if (childrenBuilder_ == null) {
children_ = java.util.Collections.emptyList();
bitField0_ = (bitField0_ & ~0x04000000);
onChanged();
} else {
childrenBuilder_.clear();
}
return this;
}
/**
*
* Descendants of the graph. The actual descendants depend on the data
* structure used (scope, graph).
*
*
* repeated .tensorflow.tfprof.GraphNodeProto children = 12;
*/
public Builder removeChildren(int index) {
if (childrenBuilder_ == null) {
ensureChildrenIsMutable();
children_.remove(index);
onChanged();
} else {
childrenBuilder_.remove(index);
}
return this;
}
/**
*
* Descendants of the graph. The actual descendants depend on the data
* structure used (scope, graph).
*
*
* repeated .tensorflow.tfprof.GraphNodeProto children = 12;
*/
public tensorflow.tfprof.TfprofOutput.GraphNodeProto.Builder getChildrenBuilder(
int index) {
return getChildrenFieldBuilder().getBuilder(index);
}
/**
*
* Descendants of the graph. The actual descendants depend on the data
* structure used (scope, graph).
*
*
* repeated .tensorflow.tfprof.GraphNodeProto children = 12;
*/
public tensorflow.tfprof.TfprofOutput.GraphNodeProtoOrBuilder getChildrenOrBuilder(
int index) {
if (childrenBuilder_ == null) {
return children_.get(index); } else {
return childrenBuilder_.getMessageOrBuilder(index);
}
}
/**
*
* Descendants of the graph. The actual descendants depend on the data
* structure used (scope, graph).
*
*
* repeated .tensorflow.tfprof.GraphNodeProto children = 12;
*/
public java.util.List
getChildrenOrBuilderList() {
if (childrenBuilder_ != null) {
return childrenBuilder_.getMessageOrBuilderList();
} else {
return java.util.Collections.unmodifiableList(children_);
}
}
/**
*
* Descendants of the graph. The actual descendants depend on the data
* structure used (scope, graph).
*
*
* repeated .tensorflow.tfprof.GraphNodeProto children = 12;
*/
public tensorflow.tfprof.TfprofOutput.GraphNodeProto.Builder addChildrenBuilder() {
return getChildrenFieldBuilder().addBuilder(
tensorflow.tfprof.TfprofOutput.GraphNodeProto.getDefaultInstance());
}
/**
*
* Descendants of the graph. The actual descendants depend on the data
* structure used (scope, graph).
*
*
* repeated .tensorflow.tfprof.GraphNodeProto children = 12;
*/
public tensorflow.tfprof.TfprofOutput.GraphNodeProto.Builder addChildrenBuilder(
int index) {
return getChildrenFieldBuilder().addBuilder(
index, tensorflow.tfprof.TfprofOutput.GraphNodeProto.getDefaultInstance());
}
/**
*
* Descendants of the graph. The actual descendants depend on the data
* structure used (scope, graph).
*
*
* repeated .tensorflow.tfprof.GraphNodeProto children = 12;
*/
public java.util.List
getChildrenBuilderList() {
return getChildrenFieldBuilder().getBuilderList();
}
private com.google.protobuf.RepeatedFieldBuilderV3<
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getChildrenFieldBuilder() {
if (childrenBuilder_ == null) {
childrenBuilder_ = new com.google.protobuf.RepeatedFieldBuilderV3<
tensorflow.tfprof.TfprofOutput.GraphNodeProto, tensorflow.tfprof.TfprofOutput.GraphNodeProto.Builder, tensorflow.tfprof.TfprofOutput.GraphNodeProtoOrBuilder>(
children_,
((bitField0_ & 0x04000000) == 0x04000000),
getParentForChildren(),
isClean());
children_ = null;
}
return childrenBuilder_;
}
@java.lang.Override
public final Builder setUnknownFields(
final com.google.protobuf.UnknownFieldSet unknownFields) {
return super.setUnknownFieldsProto3(unknownFields);
}
@java.lang.Override
public final Builder mergeUnknownFields(
final com.google.protobuf.UnknownFieldSet unknownFields) {
return super.mergeUnknownFields(unknownFields);
}
// @@protoc_insertion_point(builder_scope:tensorflow.tfprof.GraphNodeProto)
}
// @@protoc_insertion_point(class_scope:tensorflow.tfprof.GraphNodeProto)
private static final tensorflow.tfprof.TfprofOutput.GraphNodeProto DEFAULT_INSTANCE;
static {
DEFAULT_INSTANCE = new tensorflow.tfprof.TfprofOutput.GraphNodeProto();
}
public static tensorflow.tfprof.TfprofOutput.GraphNodeProto getDefaultInstance() {
return DEFAULT_INSTANCE;
}
private static final com.google.protobuf.Parser
PARSER = new com.google.protobuf.AbstractParser() {
@java.lang.Override
public GraphNodeProto parsePartialFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return new GraphNodeProto(input, extensionRegistry);
}
};
public static com.google.protobuf.Parser parser() {
return PARSER;
}
@java.lang.Override
public com.google.protobuf.Parser getParserForType() {
return PARSER;
}
@java.lang.Override
public tensorflow.tfprof.TfprofOutput.GraphNodeProto getDefaultInstanceForType() {
return DEFAULT_INSTANCE;
}
}
public interface MultiGraphNodeProtoOrBuilder extends
// @@protoc_insertion_point(interface_extends:tensorflow.tfprof.MultiGraphNodeProto)
com.google.protobuf.MessageOrBuilder {
/**
*
* Name of the node.
*
*
* string name = 1;
*/
java.lang.String getName();
/**
*
* Name of the node.
*
*
* string name = 1;
*/
com.google.protobuf.ByteString
getNameBytes();
/**
*
* code execution time.
*
*
* int64 exec_micros = 2;
*/
long getExecMicros();
/**
* int64 accelerator_exec_micros = 12;
*/
long getAcceleratorExecMicros();
/**
* int64 cpu_exec_micros = 13;
*/
long getCpuExecMicros();
/**
*
* Total requested bytes by the code.
*
*
* int64 requested_bytes = 3;
*/
long getRequestedBytes();
/**
*
* Max bytes allocated and being used by the op at a point.
*
*
* int64 peak_bytes = 16;
*/
long getPeakBytes();
/**
*
* Total bytes requested by the op and not released before end.
*
*
* int64 residual_bytes = 17;
*/
long getResidualBytes();
/**
*
* Total bytes output by the op (not necessarily allocated by the op).
*
*
* int64 output_bytes = 18;
*/
long getOutputBytes();
/**
*
* Number of parameters if available.
*
*
* int64 parameters = 4;
*/
long getParameters();
/**
*
* Number of float operations.
*
*
* int64 float_ops = 5;
*/
long getFloatOps();
/**
*
* The following are the aggregated stats from descendants.
* The actual descendants depend on the data structure used.
*
*
* int64 total_exec_micros = 6;
*/
long getTotalExecMicros();
/**
* int64 total_accelerator_exec_micros = 14;
*/
long getTotalAcceleratorExecMicros();
/**
* int64 total_cpu_exec_micros = 15;
*/
long getTotalCpuExecMicros();
/**
* int64 total_requested_bytes = 7;
*/
long getTotalRequestedBytes();
/**
* int64 total_peak_bytes = 19;
*/
long getTotalPeakBytes();
/**
* int64 total_residual_bytes = 20;
*/
long getTotalResidualBytes();
/**
* int64 total_output_bytes = 21;
*/
long getTotalOutputBytes();
/**
* int64 total_parameters = 8;
*/
long getTotalParameters();
/**
* int64 total_float_ops = 9;
*/
long getTotalFloatOps();
/**
*
* TensorFlow graph nodes contained by the MultiGraphNodeProto.
*
*
* repeated .tensorflow.tfprof.GraphNodeProto graph_nodes = 10;
*/
java.util.List
getGraphNodesList();
/**
*
* TensorFlow graph nodes contained by the MultiGraphNodeProto.
*
*
* repeated .tensorflow.tfprof.GraphNodeProto graph_nodes = 10;
*/
tensorflow.tfprof.TfprofOutput.GraphNodeProto getGraphNodes(int index);
/**
*
* TensorFlow graph nodes contained by the MultiGraphNodeProto.
*
*
* repeated .tensorflow.tfprof.GraphNodeProto graph_nodes = 10;
*/
int getGraphNodesCount();
/**
*
* TensorFlow graph nodes contained by the MultiGraphNodeProto.
*
*
* repeated .tensorflow.tfprof.GraphNodeProto graph_nodes = 10;
*/
java.util.List
getGraphNodesOrBuilderList();
/**
*
* TensorFlow graph nodes contained by the MultiGraphNodeProto.
*
*
* repeated .tensorflow.tfprof.GraphNodeProto graph_nodes = 10;
*/
tensorflow.tfprof.TfprofOutput.GraphNodeProtoOrBuilder getGraphNodesOrBuilder(
int index);
/**
*
* Descendants of the node. The actual descendants depend on the data
* structure used.
*
*
* repeated .tensorflow.tfprof.MultiGraphNodeProto children = 11;
*/
java.util.List
getChildrenList();
/**
*
* Descendants of the node. The actual descendants depend on the data
* structure used.
*
*
* repeated .tensorflow.tfprof.MultiGraphNodeProto children = 11;
*/
tensorflow.tfprof.TfprofOutput.MultiGraphNodeProto getChildren(int index);
/**
*
* Descendants of the node. The actual descendants depend on the data
* structure used.
*
*
* repeated .tensorflow.tfprof.MultiGraphNodeProto children = 11;
*/
int getChildrenCount();
/**
*
* Descendants of the node. The actual descendants depend on the data
* structure used.
*
*
* repeated .tensorflow.tfprof.MultiGraphNodeProto children = 11;
*/
java.util.List
getChildrenOrBuilderList();
/**
*
* Descendants of the node. The actual descendants depend on the data
* structure used.
*
*
* repeated .tensorflow.tfprof.MultiGraphNodeProto children = 11;
*/
tensorflow.tfprof.TfprofOutput.MultiGraphNodeProtoOrBuilder getChildrenOrBuilder(
int index);
}
/**
*
* A node that groups multiple GraphNodeProto.
* Depending on the 'view', the semantics of the TFmultiGraphNodeProto
* is different:
* code view: A node groups all TensorFlow graph nodes created by the
* Python code.
* op view: A node groups all TensorFlow graph nodes that are of type
* of the op (e.g. MatMul, Conv2D).
*
*
* Protobuf type {@code tensorflow.tfprof.MultiGraphNodeProto}
*/
public static final class MultiGraphNodeProto extends
com.google.protobuf.GeneratedMessageV3 implements
// @@protoc_insertion_point(message_implements:tensorflow.tfprof.MultiGraphNodeProto)
MultiGraphNodeProtoOrBuilder {
private static final long serialVersionUID = 0L;
// Use MultiGraphNodeProto.newBuilder() to construct.
private MultiGraphNodeProto(com.google.protobuf.GeneratedMessageV3.Builder builder) {
super(builder);
}
private MultiGraphNodeProto() {
name_ = "";
execMicros_ = 0L;
acceleratorExecMicros_ = 0L;
cpuExecMicros_ = 0L;
requestedBytes_ = 0L;
peakBytes_ = 0L;
residualBytes_ = 0L;
outputBytes_ = 0L;
parameters_ = 0L;
floatOps_ = 0L;
totalExecMicros_ = 0L;
totalAcceleratorExecMicros_ = 0L;
totalCpuExecMicros_ = 0L;
totalRequestedBytes_ = 0L;
totalPeakBytes_ = 0L;
totalResidualBytes_ = 0L;
totalOutputBytes_ = 0L;
totalParameters_ = 0L;
totalFloatOps_ = 0L;
graphNodes_ = java.util.Collections.emptyList();
children_ = java.util.Collections.emptyList();
}
@java.lang.Override
public final com.google.protobuf.UnknownFieldSet
getUnknownFields() {
return this.unknownFields;
}
private MultiGraphNodeProto(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
this();
if (extensionRegistry == null) {
throw new java.lang.NullPointerException();
}
int mutable_bitField0_ = 0;
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boolean done = false;
while (!done) {
int tag = input.readTag();
switch (tag) {
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break;
case 10: {
java.lang.String s = input.readStringRequireUtf8();
name_ = s;
break;
}
case 16: {
execMicros_ = input.readInt64();
break;
}
case 24: {
requestedBytes_ = input.readInt64();
break;
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case 32: {
parameters_ = input.readInt64();
break;
}
case 40: {
floatOps_ = input.readInt64();
break;
}
case 48: {
totalExecMicros_ = input.readInt64();
break;
}
case 56: {
totalRequestedBytes_ = input.readInt64();
break;
}
case 64: {
totalParameters_ = input.readInt64();
break;
}
case 72: {
totalFloatOps_ = input.readInt64();
break;
}
case 82: {
if (!((mutable_bitField0_ & 0x00080000) == 0x00080000)) {
graphNodes_ = new java.util.ArrayList();
mutable_bitField0_ |= 0x00080000;
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graphNodes_.add(
input.readMessage(tensorflow.tfprof.TfprofOutput.GraphNodeProto.parser(), extensionRegistry));
break;
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mutable_bitField0_ |= 0x00100000;
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children_.add(
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}
case 96: {
acceleratorExecMicros_ = input.readInt64();
break;
}
case 104: {
cpuExecMicros_ = input.readInt64();
break;
}
case 112: {
totalAcceleratorExecMicros_ = input.readInt64();
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case 120: {
totalCpuExecMicros_ = input.readInt64();
break;
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case 128: {
peakBytes_ = input.readInt64();
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case 136: {
residualBytes_ = input.readInt64();
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case 144: {
outputBytes_ = input.readInt64();
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case 152: {
totalPeakBytes_ = input.readInt64();
break;
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case 160: {
totalResidualBytes_ = input.readInt64();
break;
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case 168: {
totalOutputBytes_ = input.readInt64();
break;
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default: {
if (!parseUnknownFieldProto3(
input, unknownFields, extensionRegistry, tag)) {
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break;
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}
}
} catch (com.google.protobuf.InvalidProtocolBufferException e) {
throw e.setUnfinishedMessage(this);
} catch (java.io.IOException e) {
throw new com.google.protobuf.InvalidProtocolBufferException(
e).setUnfinishedMessage(this);
} finally {
if (((mutable_bitField0_ & 0x00080000) == 0x00080000)) {
graphNodes_ = java.util.Collections.unmodifiableList(graphNodes_);
}
if (((mutable_bitField0_ & 0x00100000) == 0x00100000)) {
children_ = java.util.Collections.unmodifiableList(children_);
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this.unknownFields = unknownFields.build();
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}
public static final com.google.protobuf.Descriptors.Descriptor
getDescriptor() {
return tensorflow.tfprof.TfprofOutput.internal_static_tensorflow_tfprof_MultiGraphNodeProto_descriptor;
}
@java.lang.Override
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
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private int bitField0_;
public static final int NAME_FIELD_NUMBER = 1;
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/**
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*
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name_ = s;
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/**
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* Name of the node.
*
*
* string name = 1;
*/
public com.google.protobuf.ByteString
getNameBytes() {
java.lang.Object ref = name_;
if (ref instanceof java.lang.String) {
com.google.protobuf.ByteString b =
com.google.protobuf.ByteString.copyFromUtf8(
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name_ = b;
return b;
} else {
return (com.google.protobuf.ByteString) ref;
}
}
public static final int EXEC_MICROS_FIELD_NUMBER = 2;
private long execMicros_;
/**
*
* code execution time.
*
*
* int64 exec_micros = 2;
*/
public long getExecMicros() {
return execMicros_;
}
public static final int ACCELERATOR_EXEC_MICROS_FIELD_NUMBER = 12;
private long acceleratorExecMicros_;
/**
* int64 accelerator_exec_micros = 12;
*/
public long getAcceleratorExecMicros() {
return acceleratorExecMicros_;
}
public static final int CPU_EXEC_MICROS_FIELD_NUMBER = 13;
private long cpuExecMicros_;
/**
* int64 cpu_exec_micros = 13;
*/
public long getCpuExecMicros() {
return cpuExecMicros_;
}
public static final int REQUESTED_BYTES_FIELD_NUMBER = 3;
private long requestedBytes_;
/**
*
* Total requested bytes by the code.
*
*
* int64 requested_bytes = 3;
*/
public long getRequestedBytes() {
return requestedBytes_;
}
public static final int PEAK_BYTES_FIELD_NUMBER = 16;
private long peakBytes_;
/**
*
* Max bytes allocated and being used by the op at a point.
*
*
* int64 peak_bytes = 16;
*/
public long getPeakBytes() {
return peakBytes_;
}
public static final int RESIDUAL_BYTES_FIELD_NUMBER = 17;
private long residualBytes_;
/**
*
* Total bytes requested by the op and not released before end.
*
*
* int64 residual_bytes = 17;
*/
public long getResidualBytes() {
return residualBytes_;
}
public static final int OUTPUT_BYTES_FIELD_NUMBER = 18;
private long outputBytes_;
/**
*
* Total bytes output by the op (not necessarily allocated by the op).
*
*
* int64 output_bytes = 18;
*/
public long getOutputBytes() {
return outputBytes_;
}
public static final int PARAMETERS_FIELD_NUMBER = 4;
private long parameters_;
/**
*
* Number of parameters if available.
*
*
* int64 parameters = 4;
*/
public long getParameters() {
return parameters_;
}
public static final int FLOAT_OPS_FIELD_NUMBER = 5;
private long floatOps_;
/**
*
* Number of float operations.
*
*
* int64 float_ops = 5;
*/
public long getFloatOps() {
return floatOps_;
}
public static final int TOTAL_EXEC_MICROS_FIELD_NUMBER = 6;
private long totalExecMicros_;
/**
*
* The following are the aggregated stats from descendants.
* The actual descendants depend on the data structure used.
*
*
* int64 total_exec_micros = 6;
*/
public long getTotalExecMicros() {
return totalExecMicros_;
}
public static final int TOTAL_ACCELERATOR_EXEC_MICROS_FIELD_NUMBER = 14;
private long totalAcceleratorExecMicros_;
/**
* int64 total_accelerator_exec_micros = 14;
*/
public long getTotalAcceleratorExecMicros() {
return totalAcceleratorExecMicros_;
}
public static final int TOTAL_CPU_EXEC_MICROS_FIELD_NUMBER = 15;
private long totalCpuExecMicros_;
/**
* int64 total_cpu_exec_micros = 15;
*/
public long getTotalCpuExecMicros() {
return totalCpuExecMicros_;
}
public static final int TOTAL_REQUESTED_BYTES_FIELD_NUMBER = 7;
private long totalRequestedBytes_;
/**
* int64 total_requested_bytes = 7;
*/
public long getTotalRequestedBytes() {
return totalRequestedBytes_;
}
public static final int TOTAL_PEAK_BYTES_FIELD_NUMBER = 19;
private long totalPeakBytes_;
/**
* int64 total_peak_bytes = 19;
*/
public long getTotalPeakBytes() {
return totalPeakBytes_;
}
public static final int TOTAL_RESIDUAL_BYTES_FIELD_NUMBER = 20;
private long totalResidualBytes_;
/**
* int64 total_residual_bytes = 20;
*/
public long getTotalResidualBytes() {
return totalResidualBytes_;
}
public static final int TOTAL_OUTPUT_BYTES_FIELD_NUMBER = 21;
private long totalOutputBytes_;
/**
* int64 total_output_bytes = 21;
*/
public long getTotalOutputBytes() {
return totalOutputBytes_;
}
public static final int TOTAL_PARAMETERS_FIELD_NUMBER = 8;
private long totalParameters_;
/**
* int64 total_parameters = 8;
*/
public long getTotalParameters() {
return totalParameters_;
}
public static final int TOTAL_FLOAT_OPS_FIELD_NUMBER = 9;
private long totalFloatOps_;
/**
* int64 total_float_ops = 9;
*/
public long getTotalFloatOps() {
return totalFloatOps_;
}
public static final int GRAPH_NODES_FIELD_NUMBER = 10;
private java.util.List graphNodes_;
/**
*
* TensorFlow graph nodes contained by the MultiGraphNodeProto.
*
*
* repeated .tensorflow.tfprof.GraphNodeProto graph_nodes = 10;
*/
public java.util.List getGraphNodesList() {
return graphNodes_;
}
/**
*
* TensorFlow graph nodes contained by the MultiGraphNodeProto.
*
*
* repeated .tensorflow.tfprof.GraphNodeProto graph_nodes = 10;
*/
public java.util.List
getGraphNodesOrBuilderList() {
return graphNodes_;
}
/**
*
* TensorFlow graph nodes contained by the MultiGraphNodeProto.
*
*
* repeated .tensorflow.tfprof.GraphNodeProto graph_nodes = 10;
*/
public int getGraphNodesCount() {
return graphNodes_.size();
}
/**
*
* TensorFlow graph nodes contained by the MultiGraphNodeProto.
*
*
* repeated .tensorflow.tfprof.GraphNodeProto graph_nodes = 10;
*/
public tensorflow.tfprof.TfprofOutput.GraphNodeProto getGraphNodes(int index) {
return graphNodes_.get(index);
}
/**
*
* TensorFlow graph nodes contained by the MultiGraphNodeProto.
*
*
* repeated .tensorflow.tfprof.GraphNodeProto graph_nodes = 10;
*/
public tensorflow.tfprof.TfprofOutput.GraphNodeProtoOrBuilder getGraphNodesOrBuilder(
int index) {
return graphNodes_.get(index);
}
public static final int CHILDREN_FIELD_NUMBER = 11;
private java.util.List children_;
/**
*
* Descendants of the node. The actual descendants depend on the data
* structure used.
*
*
* repeated .tensorflow.tfprof.MultiGraphNodeProto children = 11;
*/
public java.util.List getChildrenList() {
return children_;
}
/**
*
* Descendants of the node. The actual descendants depend on the data
* structure used.
*
*
* repeated .tensorflow.tfprof.MultiGraphNodeProto children = 11;
*/
public java.util.List
getChildrenOrBuilderList() {
return children_;
}
/**
*
* Descendants of the node. The actual descendants depend on the data
* structure used.
*
*
* repeated .tensorflow.tfprof.MultiGraphNodeProto children = 11;
*/
public int getChildrenCount() {
return children_.size();
}
/**
*
* Descendants of the node. The actual descendants depend on the data
* structure used.
*
*
* repeated .tensorflow.tfprof.MultiGraphNodeProto children = 11;
*/
public tensorflow.tfprof.TfprofOutput.MultiGraphNodeProto getChildren(int index) {
return children_.get(index);
}
/**
*
* Descendants of the node. The actual descendants depend on the data
* structure used.
*
*
* repeated .tensorflow.tfprof.MultiGraphNodeProto children = 11;
*/
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mergeFrom(parsedMessage);
}
}
return this;
}
private int bitField0_;
private java.lang.Object name_ = "";
/**
*
* Name of the node.
*
*
* string name = 1;
*/
public java.lang.String getName() {
java.lang.Object ref = name_;
if (!(ref instanceof java.lang.String)) {
com.google.protobuf.ByteString bs =
(com.google.protobuf.ByteString) ref;
java.lang.String s = bs.toStringUtf8();
name_ = s;
return s;
} else {
return (java.lang.String) ref;
}
}
/**
*
* Name of the node.
*
*
* string name = 1;
*/
public com.google.protobuf.ByteString
getNameBytes() {
java.lang.Object ref = name_;
if (ref instanceof String) {
com.google.protobuf.ByteString b =
com.google.protobuf.ByteString.copyFromUtf8(
(java.lang.String) ref);
name_ = b;
return b;
} else {
return (com.google.protobuf.ByteString) ref;
}
}
/**
*
* Name of the node.
*
*
* string name = 1;
*/
public Builder setName(
java.lang.String value) {
if (value == null) {
throw new NullPointerException();
}
name_ = value;
onChanged();
return this;
}
/**
*
* Name of the node.
*
*
* string name = 1;
*/
public Builder clearName() {
name_ = getDefaultInstance().getName();
onChanged();
return this;
}
/**
*
* Name of the node.
*
*
* string name = 1;
*/
public Builder setNameBytes(
com.google.protobuf.ByteString value) {
if (value == null) {
throw new NullPointerException();
}
checkByteStringIsUtf8(value);
name_ = value;
onChanged();
return this;
}
private long execMicros_ ;
/**
*
* code execution time.
*
*
* int64 exec_micros = 2;
*/
public long getExecMicros() {
return execMicros_;
}
/**
*
* code execution time.
*
*
* int64 exec_micros = 2;
*/
public Builder setExecMicros(long value) {
execMicros_ = value;
onChanged();
return this;
}
/**
*
* code execution time.
*
*
* int64 exec_micros = 2;
*/
public Builder clearExecMicros() {
execMicros_ = 0L;
onChanged();
return this;
}
private long acceleratorExecMicros_ ;
/**
* int64 accelerator_exec_micros = 12;
*/
public long getAcceleratorExecMicros() {
return acceleratorExecMicros_;
}
/**
* int64 accelerator_exec_micros = 12;
*/
public Builder setAcceleratorExecMicros(long value) {
acceleratorExecMicros_ = value;
onChanged();
return this;
}
/**
* int64 accelerator_exec_micros = 12;
*/
public Builder clearAcceleratorExecMicros() {
acceleratorExecMicros_ = 0L;
onChanged();
return this;
}
private long cpuExecMicros_ ;
/**
* int64 cpu_exec_micros = 13;
*/
public long getCpuExecMicros() {
return cpuExecMicros_;
}
/**
* int64 cpu_exec_micros = 13;
*/
public Builder setCpuExecMicros(long value) {
cpuExecMicros_ = value;
onChanged();
return this;
}
/**
* int64 cpu_exec_micros = 13;
*/
public Builder clearCpuExecMicros() {
cpuExecMicros_ = 0L;
onChanged();
return this;
}
private long requestedBytes_ ;
/**
*
* Total requested bytes by the code.
*
*
* int64 requested_bytes = 3;
*/
public long getRequestedBytes() {
return requestedBytes_;
}
/**
*
* Total requested bytes by the code.
*
*
* int64 requested_bytes = 3;
*/
public Builder setRequestedBytes(long value) {
requestedBytes_ = value;
onChanged();
return this;
}
/**
*
* Total requested bytes by the code.
*
*
* int64 requested_bytes = 3;
*/
public Builder clearRequestedBytes() {
requestedBytes_ = 0L;
onChanged();
return this;
}
private long peakBytes_ ;
/**
*
* Max bytes allocated and being used by the op at a point.
*
*
* int64 peak_bytes = 16;
*/
public long getPeakBytes() {
return peakBytes_;
}
/**
*
* Max bytes allocated and being used by the op at a point.
*
*
* int64 peak_bytes = 16;
*/
public Builder setPeakBytes(long value) {
peakBytes_ = value;
onChanged();
return this;
}
/**
*
* Max bytes allocated and being used by the op at a point.
*
*
* int64 peak_bytes = 16;
*/
public Builder clearPeakBytes() {
peakBytes_ = 0L;
onChanged();
return this;
}
private long residualBytes_ ;
/**
*
* Total bytes requested by the op and not released before end.
*
*
* int64 residual_bytes = 17;
*/
public long getResidualBytes() {
return residualBytes_;
}
/**
*
* Total bytes requested by the op and not released before end.
*
*
* int64 residual_bytes = 17;
*/
public Builder setResidualBytes(long value) {
residualBytes_ = value;
onChanged();
return this;
}
/**
*
* Total bytes requested by the op and not released before end.
*
*
* int64 residual_bytes = 17;
*/
public Builder clearResidualBytes() {
residualBytes_ = 0L;
onChanged();
return this;
}
private long outputBytes_ ;
/**
*
* Total bytes output by the op (not necessarily allocated by the op).
*
*
* int64 output_bytes = 18;
*/
public long getOutputBytes() {
return outputBytes_;
}
/**
*
* Total bytes output by the op (not necessarily allocated by the op).
*
*
* int64 output_bytes = 18;
*/
public Builder setOutputBytes(long value) {
outputBytes_ = value;
onChanged();
return this;
}
/**
*
* Total bytes output by the op (not necessarily allocated by the op).
*
*
* int64 output_bytes = 18;
*/
public Builder clearOutputBytes() {
outputBytes_ = 0L;
onChanged();
return this;
}
private long parameters_ ;
/**
*
* Number of parameters if available.
*
*
* int64 parameters = 4;
*/
public long getParameters() {
return parameters_;
}
/**
*
* Number of parameters if available.
*
*
* int64 parameters = 4;
*/
public Builder setParameters(long value) {
parameters_ = value;
onChanged();
return this;
}
/**
*
* Number of parameters if available.
*
*
* int64 parameters = 4;
*/
public Builder clearParameters() {
parameters_ = 0L;
onChanged();
return this;
}
private long floatOps_ ;
/**
*
* Number of float operations.
*
*
* int64 float_ops = 5;
*/
public long getFloatOps() {
return floatOps_;
}
/**
*
* Number of float operations.
*
*
* int64 float_ops = 5;
*/
public Builder setFloatOps(long value) {
floatOps_ = value;
onChanged();
return this;
}
/**
*
* Number of float operations.
*
*
* int64 float_ops = 5;
*/
public Builder clearFloatOps() {
floatOps_ = 0L;
onChanged();
return this;
}
private long totalExecMicros_ ;
/**
*
* The following are the aggregated stats from descendants.
* The actual descendants depend on the data structure used.
*
*
* int64 total_exec_micros = 6;
*/
public long getTotalExecMicros() {
return totalExecMicros_;
}
/**
*
* The following are the aggregated stats from descendants.
* The actual descendants depend on the data structure used.
*
*
* int64 total_exec_micros = 6;
*/
public Builder setTotalExecMicros(long value) {
totalExecMicros_ = value;
onChanged();
return this;
}
/**
*
* The following are the aggregated stats from descendants.
* The actual descendants depend on the data structure used.
*
*
* int64 total_exec_micros = 6;
*/
public Builder clearTotalExecMicros() {
totalExecMicros_ = 0L;
onChanged();
return this;
}
private long totalAcceleratorExecMicros_ ;
/**
* int64 total_accelerator_exec_micros = 14;
*/
public long getTotalAcceleratorExecMicros() {
return totalAcceleratorExecMicros_;
}
/**
* int64 total_accelerator_exec_micros = 14;
*/
public Builder setTotalAcceleratorExecMicros(long value) {
totalAcceleratorExecMicros_ = value;
onChanged();
return this;
}
/**
* int64 total_accelerator_exec_micros = 14;
*/
public Builder clearTotalAcceleratorExecMicros() {
totalAcceleratorExecMicros_ = 0L;
onChanged();
return this;
}
private long totalCpuExecMicros_ ;
/**
* int64 total_cpu_exec_micros = 15;
*/
public long getTotalCpuExecMicros() {
return totalCpuExecMicros_;
}
/**
* int64 total_cpu_exec_micros = 15;
*/
public Builder setTotalCpuExecMicros(long value) {
totalCpuExecMicros_ = value;
onChanged();
return this;
}
/**
* int64 total_cpu_exec_micros = 15;
*/
public Builder clearTotalCpuExecMicros() {
totalCpuExecMicros_ = 0L;
onChanged();
return this;
}
private long totalRequestedBytes_ ;
/**
* int64 total_requested_bytes = 7;
*/
public long getTotalRequestedBytes() {
return totalRequestedBytes_;
}
/**
* int64 total_requested_bytes = 7;
*/
public Builder setTotalRequestedBytes(long value) {
totalRequestedBytes_ = value;
onChanged();
return this;
}
/**
* int64 total_requested_bytes = 7;
*/
public Builder clearTotalRequestedBytes() {
totalRequestedBytes_ = 0L;
onChanged();
return this;
}
private long totalPeakBytes_ ;
/**
* int64 total_peak_bytes = 19;
*/
public long getTotalPeakBytes() {
return totalPeakBytes_;
}
/**
* int64 total_peak_bytes = 19;
*/
public Builder setTotalPeakBytes(long value) {
totalPeakBytes_ = value;
onChanged();
return this;
}
/**
* int64 total_peak_bytes = 19;
*/
public Builder clearTotalPeakBytes() {
totalPeakBytes_ = 0L;
onChanged();
return this;
}
private long totalResidualBytes_ ;
/**
* int64 total_residual_bytes = 20;
*/
public long getTotalResidualBytes() {
return totalResidualBytes_;
}
/**
* int64 total_residual_bytes = 20;
*/
public Builder setTotalResidualBytes(long value) {
totalResidualBytes_ = value;
onChanged();
return this;
}
/**
* int64 total_residual_bytes = 20;
*/
public Builder clearTotalResidualBytes() {
totalResidualBytes_ = 0L;
onChanged();
return this;
}
private long totalOutputBytes_ ;
/**
* int64 total_output_bytes = 21;
*/
public long getTotalOutputBytes() {
return totalOutputBytes_;
}
/**
* int64 total_output_bytes = 21;
*/
public Builder setTotalOutputBytes(long value) {
totalOutputBytes_ = value;
onChanged();
return this;
}
/**
* int64 total_output_bytes = 21;
*/
public Builder clearTotalOutputBytes() {
totalOutputBytes_ = 0L;
onChanged();
return this;
}
private long totalParameters_ ;
/**
* int64 total_parameters = 8;
*/
public long getTotalParameters() {
return totalParameters_;
}
/**
* int64 total_parameters = 8;
*/
public Builder setTotalParameters(long value) {
totalParameters_ = value;
onChanged();
return this;
}
/**
* int64 total_parameters = 8;
*/
public Builder clearTotalParameters() {
totalParameters_ = 0L;
onChanged();
return this;
}
private long totalFloatOps_ ;
/**
* int64 total_float_ops = 9;
*/
public long getTotalFloatOps() {
return totalFloatOps_;
}
/**
* int64 total_float_ops = 9;
*/
public Builder setTotalFloatOps(long value) {
totalFloatOps_ = value;
onChanged();
return this;
}
/**
* int64 total_float_ops = 9;
*/
public Builder clearTotalFloatOps() {
totalFloatOps_ = 0L;
onChanged();
return this;
}
private java.util.List graphNodes_ =
java.util.Collections.emptyList();
private void ensureGraphNodesIsMutable() {
if (!((bitField0_ & 0x00080000) == 0x00080000)) {
graphNodes_ = new java.util.ArrayList(graphNodes_);
bitField0_ |= 0x00080000;
}
}
private com.google.protobuf.RepeatedFieldBuilderV3<
tensorflow.tfprof.TfprofOutput.GraphNodeProto, tensorflow.tfprof.TfprofOutput.GraphNodeProto.Builder, tensorflow.tfprof.TfprofOutput.GraphNodeProtoOrBuilder> graphNodesBuilder_;
/**
*
* TensorFlow graph nodes contained by the MultiGraphNodeProto.
*
*
* repeated .tensorflow.tfprof.GraphNodeProto graph_nodes = 10;
*/
public java.util.List getGraphNodesList() {
if (graphNodesBuilder_ == null) {
return java.util.Collections.unmodifiableList(graphNodes_);
} else {
return graphNodesBuilder_.getMessageList();
}
}
/**
*
* TensorFlow graph nodes contained by the MultiGraphNodeProto.
*
*
* repeated .tensorflow.tfprof.GraphNodeProto graph_nodes = 10;
*/
public int getGraphNodesCount() {
if (graphNodesBuilder_ == null) {
return graphNodes_.size();
} else {
return graphNodesBuilder_.getCount();
}
}
/**
*
* TensorFlow graph nodes contained by the MultiGraphNodeProto.
*
*
* repeated .tensorflow.tfprof.GraphNodeProto graph_nodes = 10;
*/
public tensorflow.tfprof.TfprofOutput.GraphNodeProto getGraphNodes(int index) {
if (graphNodesBuilder_ == null) {
return graphNodes_.get(index);
} else {
return graphNodesBuilder_.getMessage(index);
}
}
/**
*
* TensorFlow graph nodes contained by the MultiGraphNodeProto.
*
*
* repeated .tensorflow.tfprof.GraphNodeProto graph_nodes = 10;
*/
public Builder setGraphNodes(
int index, tensorflow.tfprof.TfprofOutput.GraphNodeProto value) {
if (graphNodesBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensureGraphNodesIsMutable();
graphNodes_.set(index, value);
onChanged();
} else {
graphNodesBuilder_.setMessage(index, value);
}
return this;
}
/**
*
* TensorFlow graph nodes contained by the MultiGraphNodeProto.
*
*
* repeated .tensorflow.tfprof.GraphNodeProto graph_nodes = 10;
*/
public Builder setGraphNodes(
int index, tensorflow.tfprof.TfprofOutput.GraphNodeProto.Builder builderForValue) {
if (graphNodesBuilder_ == null) {
ensureGraphNodesIsMutable();
graphNodes_.set(index, builderForValue.build());
onChanged();
} else {
graphNodesBuilder_.setMessage(index, builderForValue.build());
}
return this;
}
/**
*
* TensorFlow graph nodes contained by the MultiGraphNodeProto.
*
*
* repeated .tensorflow.tfprof.GraphNodeProto graph_nodes = 10;
*/
public Builder addGraphNodes(tensorflow.tfprof.TfprofOutput.GraphNodeProto value) {
if (graphNodesBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensureGraphNodesIsMutable();
graphNodes_.add(value);
onChanged();
} else {
graphNodesBuilder_.addMessage(value);
}
return this;
}
/**
*
* TensorFlow graph nodes contained by the MultiGraphNodeProto.
*
*
* repeated .tensorflow.tfprof.GraphNodeProto graph_nodes = 10;
*/
public Builder addGraphNodes(
int index, tensorflow.tfprof.TfprofOutput.GraphNodeProto value) {
if (graphNodesBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensureGraphNodesIsMutable();
graphNodes_.add(index, value);
onChanged();
} else {
graphNodesBuilder_.addMessage(index, value);
}
return this;
}
/**
*
* TensorFlow graph nodes contained by the MultiGraphNodeProto.
*
*
* repeated .tensorflow.tfprof.GraphNodeProto graph_nodes = 10;
*/
public Builder addGraphNodes(
tensorflow.tfprof.TfprofOutput.GraphNodeProto.Builder builderForValue) {
if (graphNodesBuilder_ == null) {
ensureGraphNodesIsMutable();
graphNodes_.add(builderForValue.build());
onChanged();
} else {
graphNodesBuilder_.addMessage(builderForValue.build());
}
return this;
}
/**
*
* TensorFlow graph nodes contained by the MultiGraphNodeProto.
*
*
* repeated .tensorflow.tfprof.GraphNodeProto graph_nodes = 10;
*/
public Builder addGraphNodes(
int index, tensorflow.tfprof.TfprofOutput.GraphNodeProto.Builder builderForValue) {
if (graphNodesBuilder_ == null) {
ensureGraphNodesIsMutable();
graphNodes_.add(index, builderForValue.build());
onChanged();
} else {
graphNodesBuilder_.addMessage(index, builderForValue.build());
}
return this;
}
/**
*
* TensorFlow graph nodes contained by the MultiGraphNodeProto.
*
*
* repeated .tensorflow.tfprof.GraphNodeProto graph_nodes = 10;
*/
public Builder addAllGraphNodes(
java.lang.Iterable values) {
if (graphNodesBuilder_ == null) {
ensureGraphNodesIsMutable();
com.google.protobuf.AbstractMessageLite.Builder.addAll(
values, graphNodes_);
onChanged();
} else {
graphNodesBuilder_.addAllMessages(values);
}
return this;
}
/**
*
* TensorFlow graph nodes contained by the MultiGraphNodeProto.
*
*
* repeated .tensorflow.tfprof.GraphNodeProto graph_nodes = 10;
*/
public Builder clearGraphNodes() {
if (graphNodesBuilder_ == null) {
graphNodes_ = java.util.Collections.emptyList();
bitField0_ = (bitField0_ & ~0x00080000);
onChanged();
} else {
graphNodesBuilder_.clear();
}
return this;
}
/**
*
* TensorFlow graph nodes contained by the MultiGraphNodeProto.
*
*
* repeated .tensorflow.tfprof.GraphNodeProto graph_nodes = 10;
*/
public Builder removeGraphNodes(int index) {
if (graphNodesBuilder_ == null) {
ensureGraphNodesIsMutable();
graphNodes_.remove(index);
onChanged();
} else {
graphNodesBuilder_.remove(index);
}
return this;
}
/**
*
* TensorFlow graph nodes contained by the MultiGraphNodeProto.
*
*
* repeated .tensorflow.tfprof.GraphNodeProto graph_nodes = 10;
*/
public tensorflow.tfprof.TfprofOutput.GraphNodeProto.Builder getGraphNodesBuilder(
int index) {
return getGraphNodesFieldBuilder().getBuilder(index);
}
/**
*
* TensorFlow graph nodes contained by the MultiGraphNodeProto.
*
*
* repeated .tensorflow.tfprof.GraphNodeProto graph_nodes = 10;
*/
public tensorflow.tfprof.TfprofOutput.GraphNodeProtoOrBuilder getGraphNodesOrBuilder(
int index) {
if (graphNodesBuilder_ == null) {
return graphNodes_.get(index); } else {
return graphNodesBuilder_.getMessageOrBuilder(index);
}
}
/**
*
* TensorFlow graph nodes contained by the MultiGraphNodeProto.
*
*
* repeated .tensorflow.tfprof.GraphNodeProto graph_nodes = 10;
*/
public java.util.List
getGraphNodesOrBuilderList() {
if (graphNodesBuilder_ != null) {
return graphNodesBuilder_.getMessageOrBuilderList();
} else {
return java.util.Collections.unmodifiableList(graphNodes_);
}
}
/**
*
* TensorFlow graph nodes contained by the MultiGraphNodeProto.
*
*
* repeated .tensorflow.tfprof.GraphNodeProto graph_nodes = 10;
*/
public tensorflow.tfprof.TfprofOutput.GraphNodeProto.Builder addGraphNodesBuilder() {
return getGraphNodesFieldBuilder().addBuilder(
tensorflow.tfprof.TfprofOutput.GraphNodeProto.getDefaultInstance());
}
/**
*
* TensorFlow graph nodes contained by the MultiGraphNodeProto.
*
*
* repeated .tensorflow.tfprof.GraphNodeProto graph_nodes = 10;
*/
public tensorflow.tfprof.TfprofOutput.GraphNodeProto.Builder addGraphNodesBuilder(
int index) {
return getGraphNodesFieldBuilder().addBuilder(
index, tensorflow.tfprof.TfprofOutput.GraphNodeProto.getDefaultInstance());
}
/**
*
* TensorFlow graph nodes contained by the MultiGraphNodeProto.
*
*
* repeated .tensorflow.tfprof.GraphNodeProto graph_nodes = 10;
*/
public java.util.List
getGraphNodesBuilderList() {
return getGraphNodesFieldBuilder().getBuilderList();
}
private com.google.protobuf.RepeatedFieldBuilderV3<
tensorflow.tfprof.TfprofOutput.GraphNodeProto, tensorflow.tfprof.TfprofOutput.GraphNodeProto.Builder, tensorflow.tfprof.TfprofOutput.GraphNodeProtoOrBuilder>
getGraphNodesFieldBuilder() {
if (graphNodesBuilder_ == null) {
graphNodesBuilder_ = new com.google.protobuf.RepeatedFieldBuilderV3<
tensorflow.tfprof.TfprofOutput.GraphNodeProto, tensorflow.tfprof.TfprofOutput.GraphNodeProto.Builder, tensorflow.tfprof.TfprofOutput.GraphNodeProtoOrBuilder>(
graphNodes_,
((bitField0_ & 0x00080000) == 0x00080000),
getParentForChildren(),
isClean());
graphNodes_ = null;
}
return graphNodesBuilder_;
}
private java.util.List children_ =
java.util.Collections.emptyList();
private void ensureChildrenIsMutable() {
if (!((bitField0_ & 0x00100000) == 0x00100000)) {
children_ = new java.util.ArrayList(children_);
bitField0_ |= 0x00100000;
}
}
private com.google.protobuf.RepeatedFieldBuilderV3<
tensorflow.tfprof.TfprofOutput.MultiGraphNodeProto, tensorflow.tfprof.TfprofOutput.MultiGraphNodeProto.Builder, tensorflow.tfprof.TfprofOutput.MultiGraphNodeProtoOrBuilder> childrenBuilder_;
/**
*
* Descendants of the node. The actual descendants depend on the data
* structure used.
*
*
* repeated .tensorflow.tfprof.MultiGraphNodeProto children = 11;
*/
public java.util.List getChildrenList() {
if (childrenBuilder_ == null) {
return java.util.Collections.unmodifiableList(children_);
} else {
return childrenBuilder_.getMessageList();
}
}
/**
*
* Descendants of the node. The actual descendants depend on the data
* structure used.
*
*
* repeated .tensorflow.tfprof.MultiGraphNodeProto children = 11;
*/
public int getChildrenCount() {
if (childrenBuilder_ == null) {
return children_.size();
} else {
return childrenBuilder_.getCount();
}
}
/**
*
* Descendants of the node. The actual descendants depend on the data
* structure used.
*
*
* repeated .tensorflow.tfprof.MultiGraphNodeProto children = 11;
*/
public tensorflow.tfprof.TfprofOutput.MultiGraphNodeProto getChildren(int index) {
if (childrenBuilder_ == null) {
return children_.get(index);
} else {
return childrenBuilder_.getMessage(index);
}
}
/**
*
* Descendants of the node. The actual descendants depend on the data
* structure used.
*
*
* repeated .tensorflow.tfprof.MultiGraphNodeProto children = 11;
*/
public Builder setChildren(
int index, tensorflow.tfprof.TfprofOutput.MultiGraphNodeProto value) {
if (childrenBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensureChildrenIsMutable();
children_.set(index, value);
onChanged();
} else {
childrenBuilder_.setMessage(index, value);
}
return this;
}
/**
*
* Descendants of the node. The actual descendants depend on the data
* structure used.
*
*
* repeated .tensorflow.tfprof.MultiGraphNodeProto children = 11;
*/
public Builder setChildren(
int index, tensorflow.tfprof.TfprofOutput.MultiGraphNodeProto.Builder builderForValue) {
if (childrenBuilder_ == null) {
ensureChildrenIsMutable();
children_.set(index, builderForValue.build());
onChanged();
} else {
childrenBuilder_.setMessage(index, builderForValue.build());
}
return this;
}
/**
*
* Descendants of the node. The actual descendants depend on the data
* structure used.
*
*
* repeated .tensorflow.tfprof.MultiGraphNodeProto children = 11;
*/
public Builder addChildren(tensorflow.tfprof.TfprofOutput.MultiGraphNodeProto value) {
if (childrenBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensureChildrenIsMutable();
children_.add(value);
onChanged();
} else {
childrenBuilder_.addMessage(value);
}
return this;
}
/**
*
* Descendants of the node. The actual descendants depend on the data
* structure used.
*
*
* repeated .tensorflow.tfprof.MultiGraphNodeProto children = 11;
*/
public Builder addChildren(
int index, tensorflow.tfprof.TfprofOutput.MultiGraphNodeProto value) {
if (childrenBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensureChildrenIsMutable();
children_.add(index, value);
onChanged();
} else {
childrenBuilder_.addMessage(index, value);
}
return this;
}
/**
*
* Descendants of the node. The actual descendants depend on the data
* structure used.
*
*
* repeated .tensorflow.tfprof.MultiGraphNodeProto children = 11;
*/
public Builder addChildren(
tensorflow.tfprof.TfprofOutput.MultiGraphNodeProto.Builder builderForValue) {
if (childrenBuilder_ == null) {
ensureChildrenIsMutable();
children_.add(builderForValue.build());
onChanged();
} else {
childrenBuilder_.addMessage(builderForValue.build());
}
return this;
}
/**
*
* Descendants of the node. The actual descendants depend on the data
* structure used.
*
*
* repeated .tensorflow.tfprof.MultiGraphNodeProto children = 11;
*/
public Builder addChildren(
int index, tensorflow.tfprof.TfprofOutput.MultiGraphNodeProto.Builder builderForValue) {
if (childrenBuilder_ == null) {
ensureChildrenIsMutable();
children_.add(index, builderForValue.build());
onChanged();
} else {
childrenBuilder_.addMessage(index, builderForValue.build());
}
return this;
}
/**
*
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