tensorflow:: ops:: SaveSlices

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 .

Args:

• 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:

• the created Operation

Public attributes

Operation operation

Public functions

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

 operator::tensorflow::Operation() const