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// Generated by the protocol buffer compiler. DO NOT EDIT!
// source: tensorflow/core/protobuf/meta_graph.proto
package org.tensorflow.framework;
/**
*
* Information about a Tensor necessary for feeding or retrieval.
*
*
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*/
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// @@protoc_insertion_point(message_implements:tensorflow.TensorInfo)
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*
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*
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*
* The static shape should be recorded here, to the extent that it can
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/**
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// @@protoc_insertion_point(builder_implements:tensorflow.TensorInfo)
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/**
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*
* There are many possible encodings of sparse matrices
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* SparseTensor Python class.
*
* There are many possible encodings of sparse matrices
* (https://en.wikipedia.org/wiki/Sparse_matrix). Currently, TensorFlow
* uses only the COO encoding. This is supported and documented in the
* SparseTensor Python class.
*
* There are many possible encodings of sparse matrices
* (https://en.wikipedia.org/wiki/Sparse_matrix). Currently, TensorFlow
* uses only the COO encoding. This is supported and documented in the
* SparseTensor Python class.
*
* There are many possible encodings of sparse matrices
* (https://en.wikipedia.org/wiki/Sparse_matrix). Currently, TensorFlow
* uses only the COO encoding. This is supported and documented in the
* SparseTensor Python class.
*
* There are many possible encodings of sparse matrices
* (https://en.wikipedia.org/wiki/Sparse_matrix). Currently, TensorFlow
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* SparseTensor Python class.
*
* There are many possible encodings of sparse matrices
* (https://en.wikipedia.org/wiki/Sparse_matrix). Currently, TensorFlow
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* SparseTensor Python class.
*
* There are many possible encodings of sparse matrices
* (https://en.wikipedia.org/wiki/Sparse_matrix). Currently, TensorFlow
* uses only the COO encoding. This is supported and documented in the
* SparseTensor Python class.
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* The static shape should be recorded here, to the extent that it can
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* the logical shape of the represented tensor (aka dense_shape).
*
* The static shape should be recorded here, to the extent that it can
* be known in advance. In the case of a SparseTensor, this field describes
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*
*
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onChanged();
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/**
*
* The static shape should be recorded here, to the extent that it can
* be known in advance. In the case of a SparseTensor, this field describes
* the logical shape of the represented tensor (aka dense_shape).
*
* The static shape should be recorded here, to the extent that it can
* be known in advance. In the case of a SparseTensor, this field describes
* the logical shape of the represented tensor (aka dense_shape).
*
* The static shape should be recorded here, to the extent that it can
* be known in advance. In the case of a SparseTensor, this field describes
* the logical shape of the represented tensor (aka dense_shape).
*
* The static shape should be recorded here, to the extent that it can
* be known in advance. In the case of a SparseTensor, this field describes
* the logical shape of the represented tensor (aka dense_shape).
*
* The static shape should be recorded here, to the extent that it can
* be known in advance. In the case of a SparseTensor, this field describes
* the logical shape of the represented tensor (aka dense_shape).
*
* The static shape should be recorded here, to the extent that it can
* be known in advance. In the case of a SparseTensor, this field describes
* the logical shape of the represented tensor (aka dense_shape).
*
*
* .tensorflow.TensorShapeProto tensor_shape = 3;
*/
private com.google.protobuf.SingleFieldBuilderV3<
org.tensorflow.framework.TensorShapeProto, org.tensorflow.framework.TensorShapeProto.Builder, org.tensorflow.framework.TensorShapeProtoOrBuilder>
getTensorShapeFieldBuilder() {
if (tensorShapeBuilder_ == null) {
tensorShapeBuilder_ = new com.google.protobuf.SingleFieldBuilderV3<
org.tensorflow.framework.TensorShapeProto, org.tensorflow.framework.TensorShapeProto.Builder, org.tensorflow.framework.TensorShapeProtoOrBuilder>(
getTensorShape(),
getParentForChildren(),
isClean());
tensorShape_ = null;
}
return tensorShapeBuilder_;
}
public final Builder setUnknownFields(
final com.google.protobuf.UnknownFieldSet unknownFields) {
return this;
}
public final Builder mergeUnknownFields(
final com.google.protobuf.UnknownFieldSet unknownFields) {
return this;
}
// @@protoc_insertion_point(builder_scope:tensorflow.TensorInfo)
}
// @@protoc_insertion_point(class_scope:tensorflow.TensorInfo)
private static final org.tensorflow.framework.TensorInfo DEFAULT_INSTANCE;
static {
DEFAULT_INSTANCE = new org.tensorflow.framework.TensorInfo();
}
public static org.tensorflow.framework.TensorInfo getDefaultInstance() {
return DEFAULT_INSTANCE;
}
private static final com.google.protobuf.Parser
PARSER = new com.google.protobuf.AbstractParser() {
public TensorInfo parsePartialFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return new TensorInfo(input, extensionRegistry);
}
};
public static com.google.protobuf.Parser parser() {
return PARSER;
}
@java.lang.Override
public com.google.protobuf.Parser getParserForType() {
return PARSER;
}
public org.tensorflow.framework.TensorInfo getDefaultInstanceForType() {
return DEFAULT_INSTANCE;
}
}
