TTypes< T, NDIMS >::Tensor tensorflow::Tensor::tensor()

TTypes< T, NDIMS >::ConstTensor tensorflow::Tensor::tensor() const

Tensor tensorflow::Tensor::Slice(int64 dim0_start, int64 dim0_limit) const Slice this tensor along the 1st dimension. I.e., the returned tensor satisfies returned[i, ...] == this[dim0_start + i, ...]. The returned tensor shares the underlying tensor buffer with this tensor. NOTE: The returned tensor may not satisfies the same alignment requirement as this tensor depending on the shape. The caller must check the returned tensor's alignment before calling certain methods that have alignment requ

bool tensorflow::Tensor::SharesBufferWith(const Tensor &b) const

tensorflow::Tensor::Tensor() Creates a 1-dimensional, 0-element float tensor. The returned Tensor is not a scalar (shape {}), but is instead an empty one-dimensional Tensor (shape {0}, NumElements() == 0). Since it has no elements, it does not need to be assigned a value and is initialized by default ( IsInitialized() is true). If this is undesirable, consider creating a one-element scalar which does require initialization:

string tensorflow::Tensor::SummarizeValue(int64 max_entries) const Render the first max_entries values in *this into a string.

const TensorShape& tensorflow::Tensor::shape() const Returns the shape of the tensor.

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

TTypes<T>::ConstMatrix tensorflow::Tensor::matrix() const

int64 tensorflow::Tensor::NumElements() const Convenience accessor for the tensor shape.