tensorflow::ops::SaveSlices

#include <io_ops.h>

Saves input tensors slices to disk.

Summary

This is like Save except that tensors can be listed in the saved file as being a slice of a larger tensor. shapes_and_slices specifies the shape of the larger tensor and the slice that this tensor covers. shapes_and_slices must have as many elements as tensor_names.

Elements of the shapes_and_slices input must either be:

  • The empty string, in which case the corresponding tensor is saved normally.
  • A string of the form dim0 dim1 ... dimN-1 slice-spec where the dimI are the dimensions of the larger tensor and slice-spec specifies what part is covered by the tensor to save.

slice-spec itself is a :-separated list: slice0:slice1:...:sliceN-1 where each sliceI is either:

  • The string - meaning that the slice covers all indices of this dimension
  • start,length where start and length are integers. In that case the slice covers length indices starting at start.

See also Save.

Arguments:

  • scope: A Scope object
  • filename: Must have a single element. The name of the file to which we write the tensor.
  • tensor_names: Shape[N]. The names of the tensors to be saved.
  • shapes_and_slices: Shape[N]. The shapes and slice specifications to use when saving the tensors.
  • data: N tensors to save.

Returns:

Constructors and Destructors

SaveSlices(const ::tensorflow::Scope & scope, ::tensorflow::Input filename, ::tensorflow::Input tensor_names, ::tensorflow::Input shapes_and_slices, ::tensorflow::InputList data)

Public attributes

operation

Public functions

operator::tensorflow::Operation() const

Public attributes

operation

Operation operation

Public functions

SaveSlices

 SaveSlices(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input filename,
  ::tensorflow::Input tensor_names,
  ::tensorflow::Input shapes_and_slices,
  ::tensorflow::InputList data
)

operator::tensorflow::Operation

 operator::tensorflow::Operation() const