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// Generated by the protocol buffer compiler. DO NOT EDIT!
// source: tensorflow/core/protobuf/meta_graph.proto
package org.tensorflow.framework;
/**
*
* SignatureDef defines the signature of a computation supported by a TensorFlow
* graph.
* For example, a model with two loss computations, sharing a single input,
* might have the following signature_def map.
* Note that across the two SignatureDefs "loss_A" and "loss_B", the input key,
* output key, and method_name are identical, and will be used by system(s) that
* implement or rely upon this particular loss method. The output tensor names
* differ, demonstrating how different outputs can exist for the same method.
* signature_def {
* key: "loss_A"
* value {
* inputs {
* key: "input"
* value {
* name: "input:0"
* dtype: DT_STRING
* tensor_shape: ...
* }
* }
* outputs {
* key: "loss_output"
* value {
* name: "loss_output_A:0"
* dtype: DT_FLOAT
* tensor_shape: ...
* }
* }
* }
* ...
* method_name: "some/package/compute_loss"
* }
* signature_def {
* key: "loss_B"
* value {
* inputs {
* key: "input"
* value {
* name: "input:0"
* dtype: DT_STRING
* tensor_shape: ...
* }
* }
* outputs {
* key: "loss_output"
* value {
* name: "loss_output_B:0"
* dtype: DT_FLOAT
* tensor_shape: ...
* }
* }
* }
* ...
* method_name: "some/package/compute_loss"
* }
*
*
* Protobuf type {@code tensorflow.SignatureDef}
*/
public final class SignatureDef extends
org.nd4j.shade.protobuf.GeneratedMessageV3 implements
// @@protoc_insertion_point(message_implements:tensorflow.SignatureDef)
SignatureDefOrBuilder {
private static final long serialVersionUID = 0L;
// Use SignatureDef.newBuilder() to construct.
private SignatureDef(org.nd4j.shade.protobuf.GeneratedMessageV3.Builder builder) {
super(builder);
}
private SignatureDef() {
methodName_ = "";
}
@java.lang.Override
@SuppressWarnings({"unused"})
protected java.lang.Object newInstance(
UnusedPrivateParameter unused) {
return new SignatureDef();
}
@java.lang.Override
public final org.nd4j.shade.protobuf.UnknownFieldSet
getUnknownFields() {
return this.unknownFields;
}
private SignatureDef(
org.nd4j.shade.protobuf.CodedInputStream input,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
this();
if (extensionRegistry == null) {
throw new java.lang.NullPointerException();
}
int mutable_bitField0_ = 0;
org.nd4j.shade.protobuf.UnknownFieldSet.Builder unknownFields =
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try {
boolean done = false;
while (!done) {
int tag = input.readTag();
switch (tag) {
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inputs_ = org.nd4j.shade.protobuf.MapField.newMapField(
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mutable_bitField0_ |= 0x00000001;
}
org.nd4j.shade.protobuf.MapEntry
inputs__ = input.readMessage(
InputsDefaultEntryHolder.defaultEntry.getParserForType(), extensionRegistry);
inputs_.getMutableMap().put(
inputs__.getKey(), inputs__.getValue());
break;
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case 18: {
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}
org.nd4j.shade.protobuf.MapEntry
outputs__ = input.readMessage(
OutputsDefaultEntryHolder.defaultEntry.getParserForType(), extensionRegistry);
outputs_.getMutableMap().put(
outputs__.getKey(), outputs__.getValue());
break;
}
case 26: {
java.lang.String s = input.readStringRequireUtf8();
methodName_ = s;
break;
}
default: {
if (!parseUnknownField(
input, unknownFields, extensionRegistry, tag)) {
done = true;
}
break;
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}
}
} catch (org.nd4j.shade.protobuf.InvalidProtocolBufferException e) {
throw e.setUnfinishedMessage(this);
} catch (java.io.IOException e) {
throw new org.nd4j.shade.protobuf.InvalidProtocolBufferException(
e).setUnfinishedMessage(this);
} finally {
this.unknownFields = unknownFields.build();
makeExtensionsImmutable();
}
}
public static final org.nd4j.shade.protobuf.Descriptors.Descriptor
getDescriptor() {
return org.tensorflow.framework.MetaGraphProtos.internal_static_tensorflow_SignatureDef_descriptor;
}
@SuppressWarnings({"rawtypes"})
@java.lang.Override
protected org.nd4j.shade.protobuf.MapField internalGetMapField(
int number) {
switch (number) {
case 1:
return internalGetInputs();
case 2:
return internalGetOutputs();
default:
throw new RuntimeException(
"Invalid map field number: " + number);
}
}
@java.lang.Override
protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
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return org.tensorflow.framework.MetaGraphProtos.internal_static_tensorflow_SignatureDef_fieldAccessorTable
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org.tensorflow.framework.SignatureDef.class, org.tensorflow.framework.SignatureDef.Builder.class);
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public static final int INPUTS_FIELD_NUMBER = 1;
private static final class InputsDefaultEntryHolder {
static final org.nd4j.shade.protobuf.MapEntry<
java.lang.String, org.tensorflow.framework.TensorInfo> defaultEntry =
org.nd4j.shade.protobuf.MapEntry
.newDefaultInstance(
org.tensorflow.framework.MetaGraphProtos.internal_static_tensorflow_SignatureDef_InputsEntry_descriptor,
org.nd4j.shade.protobuf.WireFormat.FieldType.STRING,
"",
org.nd4j.shade.protobuf.WireFormat.FieldType.MESSAGE,
org.tensorflow.framework.TensorInfo.getDefaultInstance());
}
private org.nd4j.shade.protobuf.MapField<
java.lang.String, org.tensorflow.framework.TensorInfo> inputs_;
private org.nd4j.shade.protobuf.MapField
internalGetInputs() {
if (inputs_ == null) {
return org.nd4j.shade.protobuf.MapField.emptyMapField(
InputsDefaultEntryHolder.defaultEntry);
}
return inputs_;
}
public int getInputsCount() {
return internalGetInputs().getMap().size();
}
/**
*
* Named input parameters.
*
*
* map<string, .tensorflow.TensorInfo> inputs = 1;
*/
@java.lang.Override
public boolean containsInputs(
java.lang.String key) {
if (key == null) { throw new java.lang.NullPointerException(); }
return internalGetInputs().getMap().containsKey(key);
}
/**
* Use {@link #getInputsMap()} instead.
*/
@java.lang.Override
@java.lang.Deprecated
public java.util.Map getInputs() {
return getInputsMap();
}
/**
*
*
* map<string, .tensorflow.TensorInfo> outputs = 2;
*/
@java.lang.Override
public org.tensorflow.framework.TensorInfo getOutputsOrThrow(
java.lang.String key) {
if (key == null) { throw new java.lang.NullPointerException(); }
java.util.Map map =
internalGetOutputs().getMap();
if (!map.containsKey(key)) {
throw new java.lang.IllegalArgumentException();
}
return map.get(key);
}
public static final int METHOD_NAME_FIELD_NUMBER = 3;
private volatile java.lang.Object methodName_;
/**
*
* Extensible method_name information enabling third-party users to mark a
* SignatureDef as supporting a particular method. This enables producers and
* consumers of SignatureDefs, e.g. a model definition library and a serving
* library to have a clear hand-off regarding the semantics of a computation.
* Note that multiple SignatureDefs in a single MetaGraphDef may have the same
* method_name. This is commonly used to support multi-headed computation,
* where a single graph computation may return multiple results.
*
* Extensible method_name information enabling third-party users to mark a
* SignatureDef as supporting a particular method. This enables producers and
* consumers of SignatureDefs, e.g. a model definition library and a serving
* library to have a clear hand-off regarding the semantics of a computation.
* Note that multiple SignatureDefs in a single MetaGraphDef may have the same
* method_name. This is commonly used to support multi-headed computation,
* where a single graph computation may return multiple results.
*
* SignatureDef defines the signature of a computation supported by a TensorFlow
* graph.
* For example, a model with two loss computations, sharing a single input,
* might have the following signature_def map.
* Note that across the two SignatureDefs "loss_A" and "loss_B", the input key,
* output key, and method_name are identical, and will be used by system(s) that
* implement or rely upon this particular loss method. The output tensor names
* differ, demonstrating how different outputs can exist for the same method.
* signature_def {
* key: "loss_A"
* value {
* inputs {
* key: "input"
* value {
* name: "input:0"
* dtype: DT_STRING
* tensor_shape: ...
* }
* }
* outputs {
* key: "loss_output"
* value {
* name: "loss_output_A:0"
* dtype: DT_FLOAT
* tensor_shape: ...
* }
* }
* }
* ...
* method_name: "some/package/compute_loss"
* }
* signature_def {
* key: "loss_B"
* value {
* inputs {
* key: "input"
* value {
* name: "input:0"
* dtype: DT_STRING
* tensor_shape: ...
* }
* }
* outputs {
* key: "loss_output"
* value {
* name: "loss_output_B:0"
* dtype: DT_FLOAT
* tensor_shape: ...
* }
* }
* }
* ...
* method_name: "some/package/compute_loss"
* }
*
*
* Protobuf type {@code tensorflow.SignatureDef}
*/
public static final class Builder extends
org.nd4j.shade.protobuf.GeneratedMessageV3.Builder implements
// @@protoc_insertion_point(builder_implements:tensorflow.SignatureDef)
org.tensorflow.framework.SignatureDefOrBuilder {
public static final org.nd4j.shade.protobuf.Descriptors.Descriptor
getDescriptor() {
return org.tensorflow.framework.MetaGraphProtos.internal_static_tensorflow_SignatureDef_descriptor;
}
@SuppressWarnings({"rawtypes"})
protected org.nd4j.shade.protobuf.MapField internalGetMapField(
int number) {
switch (number) {
case 1:
return internalGetInputs();
case 2:
return internalGetOutputs();
default:
throw new RuntimeException(
"Invalid map field number: " + number);
}
}
@SuppressWarnings({"rawtypes"})
protected org.nd4j.shade.protobuf.MapField internalGetMutableMapField(
int number) {
switch (number) {
case 1:
return internalGetMutableInputs();
case 2:
return internalGetMutableOutputs();
default:
throw new RuntimeException(
"Invalid map field number: " + number);
}
}
@java.lang.Override
protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
internalGetFieldAccessorTable() {
return org.tensorflow.framework.MetaGraphProtos.internal_static_tensorflow_SignatureDef_fieldAccessorTable
.ensureFieldAccessorsInitialized(
org.tensorflow.framework.SignatureDef.class, org.tensorflow.framework.SignatureDef.Builder.class);
}
// Construct using org.tensorflow.framework.SignatureDef.newBuilder()
private Builder() {
maybeForceBuilderInitialization();
}
private Builder(
org.nd4j.shade.protobuf.GeneratedMessageV3.BuilderParent parent) {
super(parent);
maybeForceBuilderInitialization();
}
private void maybeForceBuilderInitialization() {
if (org.nd4j.shade.protobuf.GeneratedMessageV3
.alwaysUseFieldBuilders) {
}
}
@java.lang.Override
public Builder clear() {
super.clear();
internalGetMutableInputs().clear();
internalGetMutableOutputs().clear();
methodName_ = "";
return this;
}
@java.lang.Override
public org.nd4j.shade.protobuf.Descriptors.Descriptor
getDescriptorForType() {
return org.tensorflow.framework.MetaGraphProtos.internal_static_tensorflow_SignatureDef_descriptor;
}
@java.lang.Override
public org.tensorflow.framework.SignatureDef getDefaultInstanceForType() {
return org.tensorflow.framework.SignatureDef.getDefaultInstance();
}
@java.lang.Override
public org.tensorflow.framework.SignatureDef build() {
org.tensorflow.framework.SignatureDef result = buildPartial();
if (!result.isInitialized()) {
throw newUninitializedMessageException(result);
}
return result;
}
@java.lang.Override
public org.tensorflow.framework.SignatureDef buildPartial() {
org.tensorflow.framework.SignatureDef result = new org.tensorflow.framework.SignatureDef(this);
int from_bitField0_ = bitField0_;
result.inputs_ = internalGetInputs();
result.inputs_.makeImmutable();
result.outputs_ = internalGetOutputs();
result.outputs_.makeImmutable();
result.methodName_ = methodName_;
onBuilt();
return result;
}
@java.lang.Override
public Builder clone() {
return super.clone();
}
@java.lang.Override
public Builder setField(
org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
java.lang.Object value) {
return super.setField(field, value);
}
@java.lang.Override
public Builder clearField(
org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field) {
return super.clearField(field);
}
@java.lang.Override
public Builder clearOneof(
org.nd4j.shade.protobuf.Descriptors.OneofDescriptor oneof) {
return super.clearOneof(oneof);
}
@java.lang.Override
public Builder setRepeatedField(
org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
int index, java.lang.Object value) {
return super.setRepeatedField(field, index, value);
}
@java.lang.Override
public Builder addRepeatedField(
org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
java.lang.Object value) {
return super.addRepeatedField(field, value);
}
@java.lang.Override
public Builder mergeFrom(org.nd4j.shade.protobuf.Message other) {
if (other instanceof org.tensorflow.framework.SignatureDef) {
return mergeFrom((org.tensorflow.framework.SignatureDef)other);
} else {
super.mergeFrom(other);
return this;
}
}
public Builder mergeFrom(org.tensorflow.framework.SignatureDef other) {
if (other == org.tensorflow.framework.SignatureDef.getDefaultInstance()) return this;
internalGetMutableInputs().mergeFrom(
other.internalGetInputs());
internalGetMutableOutputs().mergeFrom(
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onChanged();
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this.mergeUnknownFields(other.unknownFields);
onChanged();
return this;
}
@java.lang.Override
public final boolean isInitialized() {
return true;
}
@java.lang.Override
public Builder mergeFrom(
org.nd4j.shade.protobuf.CodedInputStream input,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
org.tensorflow.framework.SignatureDef parsedMessage = null;
try {
parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
} catch (org.nd4j.shade.protobuf.InvalidProtocolBufferException e) {
parsedMessage = (org.tensorflow.framework.SignatureDef) e.getUnfinishedMessage();
throw e.unwrapIOException();
} finally {
if (parsedMessage != null) {
mergeFrom(parsedMessage);
}
}
return this;
}
private int bitField0_;
private org.nd4j.shade.protobuf.MapField<
java.lang.String, org.tensorflow.framework.TensorInfo> inputs_;
private org.nd4j.shade.protobuf.MapField
internalGetInputs() {
if (inputs_ == null) {
return org.nd4j.shade.protobuf.MapField.emptyMapField(
InputsDefaultEntryHolder.defaultEntry);
}
return inputs_;
}
private org.nd4j.shade.protobuf.MapField
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onChanged();;
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inputs_ = org.nd4j.shade.protobuf.MapField.newMapField(
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}
public int getInputsCount() {
return internalGetInputs().getMap().size();
}
/**
*
* Named input parameters.
*
*
* map<string, .tensorflow.TensorInfo> inputs = 1;
*/
@java.lang.Override
public boolean containsInputs(
java.lang.String key) {
if (key == null) { throw new java.lang.NullPointerException(); }
return internalGetInputs().getMap().containsKey(key);
}
/**
* Use {@link #getInputsMap()} instead.
*/
@java.lang.Override
@java.lang.Deprecated
public java.util.Map getInputs() {
return getInputsMap();
}
/**
*
* Extensible method_name information enabling third-party users to mark a
* SignatureDef as supporting a particular method. This enables producers and
* consumers of SignatureDefs, e.g. a model definition library and a serving
* library to have a clear hand-off regarding the semantics of a computation.
* Note that multiple SignatureDefs in a single MetaGraphDef may have the same
* method_name. This is commonly used to support multi-headed computation,
* where a single graph computation may return multiple results.
*
* Extensible method_name information enabling third-party users to mark a
* SignatureDef as supporting a particular method. This enables producers and
* consumers of SignatureDefs, e.g. a model definition library and a serving
* library to have a clear hand-off regarding the semantics of a computation.
* Note that multiple SignatureDefs in a single MetaGraphDef may have the same
* method_name. This is commonly used to support multi-headed computation,
* where a single graph computation may return multiple results.
*
*
* string method_name = 3;
* @return The bytes for methodName.
*/
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getMethodNameBytes() {
java.lang.Object ref = methodName_;
if (ref instanceof String) {
org.nd4j.shade.protobuf.ByteString b =
org.nd4j.shade.protobuf.ByteString.copyFromUtf8(
(java.lang.String) ref);
methodName_ = b;
return b;
} else {
return (org.nd4j.shade.protobuf.ByteString) ref;
}
}
/**
*
* Extensible method_name information enabling third-party users to mark a
* SignatureDef as supporting a particular method. This enables producers and
* consumers of SignatureDefs, e.g. a model definition library and a serving
* library to have a clear hand-off regarding the semantics of a computation.
* Note that multiple SignatureDefs in a single MetaGraphDef may have the same
* method_name. This is commonly used to support multi-headed computation,
* where a single graph computation may return multiple results.
*
*
* string method_name = 3;
* @param value The methodName to set.
* @return This builder for chaining.
*/
public Builder setMethodName(
java.lang.String value) {
if (value == null) {
throw new NullPointerException();
}
methodName_ = value;
onChanged();
return this;
}
/**
*
* Extensible method_name information enabling third-party users to mark a
* SignatureDef as supporting a particular method. This enables producers and
* consumers of SignatureDefs, e.g. a model definition library and a serving
* library to have a clear hand-off regarding the semantics of a computation.
* Note that multiple SignatureDefs in a single MetaGraphDef may have the same
* method_name. This is commonly used to support multi-headed computation,
* where a single graph computation may return multiple results.
*
*
* string method_name = 3;
* @return This builder for chaining.
*/
public Builder clearMethodName() {
methodName_ = getDefaultInstance().getMethodName();
onChanged();
return this;
}
/**
*
* Extensible method_name information enabling third-party users to mark a
* SignatureDef as supporting a particular method. This enables producers and
* consumers of SignatureDefs, e.g. a model definition library and a serving
* library to have a clear hand-off regarding the semantics of a computation.
* Note that multiple SignatureDefs in a single MetaGraphDef may have the same
* method_name. This is commonly used to support multi-headed computation,
* where a single graph computation may return multiple results.
*
*
* string method_name = 3;
* @param value The bytes for methodName to set.
* @return This builder for chaining.
*/
public Builder setMethodNameBytes(
org.nd4j.shade.protobuf.ByteString value) {
if (value == null) {
throw new NullPointerException();
}
checkByteStringIsUtf8(value);
methodName_ = value;
onChanged();
return this;
}
@java.lang.Override
public final Builder setUnknownFields(
final org.nd4j.shade.protobuf.UnknownFieldSet unknownFields) {
return super.setUnknownFields(unknownFields);
}
@java.lang.Override
public final Builder mergeUnknownFields(
final org.nd4j.shade.protobuf.UnknownFieldSet unknownFields) {
return super.mergeUnknownFields(unknownFields);
}
// @@protoc_insertion_point(builder_scope:tensorflow.SignatureDef)
}
// @@protoc_insertion_point(class_scope:tensorflow.SignatureDef)
private static final org.tensorflow.framework.SignatureDef DEFAULT_INSTANCE;
static {
DEFAULT_INSTANCE = new org.tensorflow.framework.SignatureDef();
}
public static org.tensorflow.framework.SignatureDef getDefaultInstance() {
return DEFAULT_INSTANCE;
}
private static final org.nd4j.shade.protobuf.Parser
PARSER = new org.nd4j.shade.protobuf.AbstractParser() {
@java.lang.Override
public SignatureDef parsePartialFrom(
org.nd4j.shade.protobuf.CodedInputStream input,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
return new SignatureDef(input, extensionRegistry);
}
};
public static org.nd4j.shade.protobuf.Parser parser() {
return PARSER;
}
@java.lang.Override
public org.nd4j.shade.protobuf.Parser getParserForType() {
return PARSER;
}
@java.lang.Override
public org.tensorflow.framework.SignatureDef getDefaultInstanceForType() {
return DEFAULT_INSTANCE;
}
}
