size_t tensorflow::Tensor::TotalBytes() const Returns the estimated memory usage of this tensor.

A file abstraction for sequential writing. The implementation must provide buffering since callers may append small fragments at a time to the

Member Details uint8 tensorflow::TensorShape::buf[16][16] Rep64* tensorflow::Tensor

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

TTypes<T>::ConstFlat tensorflow::Tensor::flat() const

Tensor tensorflow::Tensor::Slice(int64 dim0_start, int64 dim0_limit) const Slice this tensor along the 1st dimension.

tensorflow::TensorShape::TensorShape(gtl::ArraySlice< int64 > dim_sizes) Construct a TensorShape from the provided

TTypes< T, NDIMS >::ConstTensor tensorflow::Tensor::bit_casted_tensor() const Return the tensor data to an Eigen::Tensor

void tensorflow::Tensor::AsProtoTensorContent(TensorProto *proto) const

Status tensorflow::Env::IsDirectory(const string &fname) Returns whether the given path is a directory or not. Typical return