tensorflow::Tensor::shaped()
  • References/Big Data/TensorFlow/TensorFlow C++/Tensor

TTypes< T, NDIMS >::ConstTensor tensorflow::Tensor::shaped(gtl::ArraySlice< int64 > new_sizes) const

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tensorflow::Status::code()
  • References/Big Data/TensorFlow/TensorFlow C++/Status

tensorflow::error::Code tensorflow::Status::code() const

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tensorflow::Tensor::IsInitialized()
  • References/Big Data/TensorFlow/TensorFlow C++/Tensor

bool tensorflow::Tensor::IsInitialized() const If necessary, has this Tensor been initialized? Zero-element

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tensorflow::TensorShape::unused_aligner
  • References/Big Data/TensorFlow/TensorFlow C++/TensorShape

Rep64* tensorflow::TensorShape::unused_aligner

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tensorflow::Env::GetRegisteredFileSystemSchemes()
  • References/Big Data/TensorFlow/TensorFlow C++/Env

Status tensorflow::Env::GetRegisteredFileSystemSchemes(std::vector< string > *schemes) Returns the file system schemes registered

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tensorflow::Env::Stat()
  • References/Big Data/TensorFlow/TensorFlow C++/Env

Status tensorflow::Env::Stat(const string &fname, FileStatistics *stat) Obtains statistics for the given path.

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tensorflow::PartialTensorShape::IsFullyDefined()
  • References/Big Data/TensorFlow/TensorFlow C++/PartialTensorShape

bool tensorflow::PartialTensorShape::IsFullyDefined() const Return true iff the rank and all of the dimensions are well defined

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tensorflow::Tensor::operator=()
  • References/Big Data/TensorFlow/TensorFlow C++/Tensor

Tensor& tensorflow::Tensor::operator=(const Tensor &other) Assign operator. This tensor shares other's underlying storage

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tensorflow::PartialTensorShapeUtils::PartialShapeListString()
  • References/Big Data/TensorFlow/TensorFlow C++/PartialTensorShapeUtils

string tensorflow::PartialTensorShapeUtils::PartialShapeListString(const gtl::ArraySlice< PartialTensorShape > &shapes)

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tensorflow::EnvWrapper::NowMicros()
  • References/Big Data/TensorFlow/TensorFlow C++/EnvWrapper

uint64 tensorflow::EnvWrapper::NowMicros() override Returns the number of micro-seconds since some fixed point in time. Only useful

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