NamedTensorProtoOrBuilder
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Known Indirect Subclasses
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Public Methods
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abstract
String
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abstract
com.google.protobuf.ByteString
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abstract
TensorProto
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getTensor()
The client can populate a TensorProto using a tensorflow::Tensor`, or
directly using the protobuf field accessors.
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abstract
TensorProtoOrBuilder
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getTensorOrBuilder()
The client can populate a TensorProto using a tensorflow::Tensor`, or
directly using the protobuf field accessors.
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abstract
boolean
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hasTensor()
The client can populate a TensorProto using a tensorflow::Tensor`, or
directly using the protobuf field accessors.
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Public Methods
public
abstract
String
getName
()
Name of the tensor.
string name = 1;
public
abstract
com.google.protobuf.ByteString
getNameBytes
()
Name of the tensor.
string name = 1;
public
abstract
TensorProto
getTensor
()
The client can populate a TensorProto using a tensorflow::Tensor`, or
directly using the protobuf field accessors.
The client specifies whether the returned tensor values should be
filled tensor fields (float_val, int_val, etc.) or encoded in a
compact form in tensor.tensor_content.
.tensorflow.TensorProto tensor = 2;
The client can populate a TensorProto using a tensorflow::Tensor`, or
directly using the protobuf field accessors.
The client specifies whether the returned tensor values should be
filled tensor fields (float_val, int_val, etc.) or encoded in a
compact form in tensor.tensor_content.
.tensorflow.TensorProto tensor = 2;
public
abstract
boolean
hasTensor
()
The client can populate a TensorProto using a tensorflow::Tensor`, or
directly using the protobuf field accessors.
The client specifies whether the returned tensor values should be
filled tensor fields (float_val, int_val, etc.) or encoded in a
compact form in tensor.tensor_content.
.tensorflow.TensorProto tensor = 2;
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Last updated 2021-11-29 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2021-11-29 UTC."],[],[],null,["# NamedTensorProtoOrBuilder\n\npublic interface **NamedTensorProtoOrBuilder** \n\n|---|---|---|\n| Known Indirect Subclasses [NamedTensorProto](/jvm/api_docs/java/org/tensorflow/proto/framework/NamedTensorProto), [NamedTensorProto.Builder](/jvm/api_docs/java/org/tensorflow/proto/framework/NamedTensorProto.Builder) |--------------------------------------------------------------------------------------------------------|---------------------------------------------------| | [NamedTensorProto](/jvm/api_docs/java/org/tensorflow/proto/framework/NamedTensorProto) | ``` A pair of tensor name and tensor values. ``` | | [NamedTensorProto.Builder](/jvm/api_docs/java/org/tensorflow/proto/framework/NamedTensorProto.Builder) | ``` A pair of tensor name and tensor values. ``` | |||\n\n### Public Methods\n\n|---------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| abstract String | [getName](/jvm/api_docs/java/org/tensorflow/proto/framework/NamedTensorProtoOrBuilder#getName())() ``` Name of the tensor. ``` |\n| abstract com.google.protobuf.ByteString | [getNameBytes](/jvm/api_docs/java/org/tensorflow/proto/framework/NamedTensorProtoOrBuilder#getNameBytes())() ``` Name of the tensor. ``` |\n| abstract [TensorProto](/jvm/api_docs/java/org/tensorflow/proto/framework/TensorProto) | [getTensor](/jvm/api_docs/java/org/tensorflow/proto/framework/NamedTensorProtoOrBuilder#getTensor())() ``` The client can populate a TensorProto using a tensorflow::Tensor`, or directly using the protobuf field accessors. ``` |\n| abstract [TensorProtoOrBuilder](/jvm/api_docs/java/org/tensorflow/proto/framework/TensorProtoOrBuilder) | [getTensorOrBuilder](/jvm/api_docs/java/org/tensorflow/proto/framework/NamedTensorProtoOrBuilder#getTensorOrBuilder())() ``` The client can populate a TensorProto using a tensorflow::Tensor`, or directly using the protobuf field accessors. ``` |\n| abstract boolean | [hasTensor](/jvm/api_docs/java/org/tensorflow/proto/framework/NamedTensorProtoOrBuilder#hasTensor())() ``` The client can populate a TensorProto using a tensorflow::Tensor`, or directly using the protobuf field accessors. ``` |\n\nPublic Methods\n--------------\n\n#### public abstract String\n**getName**\n()\n\n\u003cbr /\u003e\n\n```\n Name of the tensor.\n \n```\n`string name = 1;`\n\n\u003cbr /\u003e\n\n#### public abstract com.google.protobuf.ByteString\n**getNameBytes**\n()\n\n\u003cbr /\u003e\n\n```\n Name of the tensor.\n \n```\n`string name = 1;`\n\n\u003cbr /\u003e\n\n#### public abstract [TensorProto](/jvm/api_docs/java/org/tensorflow/proto/framework/TensorProto)\n**getTensor**\n()\n\n\u003cbr /\u003e\n\n```\n The client can populate a TensorProto using a tensorflow::Tensor`, or\n directly using the protobuf field accessors.\n The client specifies whether the returned tensor values should be\n filled tensor fields (float_val, int_val, etc.) or encoded in a\n compact form in tensor.tensor_content.\n \n```\n`.tensorflow.TensorProto tensor = 2;`\n\n\u003cbr /\u003e\n\n#### public abstract [TensorProtoOrBuilder](/jvm/api_docs/java/org/tensorflow/proto/framework/TensorProtoOrBuilder)\n**getTensorOrBuilder**\n()\n\n\u003cbr /\u003e\n\n```\n The client can populate a TensorProto using a tensorflow::Tensor`, or\n directly using the protobuf field accessors.\n The client specifies whether the returned tensor values should be\n filled tensor fields (float_val, int_val, etc.) or encoded in a\n compact form in tensor.tensor_content.\n \n```\n`.tensorflow.TensorProto tensor = 2;`\n\n\u003cbr /\u003e\n\n#### public abstract boolean\n**hasTensor**\n()\n\n\u003cbr /\u003e\n\n```\n The client can populate a TensorProto using a tensorflow::Tensor`, or\n directly using the protobuf field accessors.\n The client specifies whether the returned tensor values should be\n filled tensor fields (float_val, int_val, etc.) or encoded in a\n compact form in tensor.tensor_content.\n \n```\n`.tensorflow.TensorProto tensor = 2;`\n\n\u003cbr /\u003e"]]
