SaveSlices

tensorflow C++ API

tensorflow::ops::SaveSlices

Saves input tensors slices to disk.

Summary

This is likeSaveexcept that tensors can be listed in the saved file as being a slice of a larger tensor.shapes_and_slicesspecifies the shape of the larger tensor and the slice that this tensor covers.shapes_and_slicesmust have as many elements astensor_names.

Elements of theshapes_and_slicesinput must either be:

• The empty string, in which case the corresponding tensor is saved normally.
• A string of the formdim0 dim1 ... dimN-1 slice-specwhere thedimIare the dimensions of the larger tensor and slice-specspecifies what part is covered by the tensor to save.

slice-specitself is a:-separated list:slice0:slice1:...:sliceN-1where eachsliceIis either:

• The string-meaning that the slice covers all indices of this dimensionstart,length
• wherestartandlengthare integers. In that case the slice coverslengthindices starting atstart.

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:Ntensors to save.

Returns:

• the created Operation.

Constructor

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

Public attributes

• tensorflow::Operation operation.

SaveSlices block

Source link : https://github.com/EXPNUNI/enuSpaceTensorflow/blob/master/enuSpaceTensorflow/tf_i_o__ops.cpp

Argument:

• Scope scope : A Scope object (A scope is generated automatically each page. A scope is not connected.)
• Input filename : input filename with path.
• Input tensor_names: input tensor_names.
• Input shapes_and_slices : input shapes_and_slices .
• InputList data : connect InputList node.

Return:

• Operation operation: Operation operation of SaveSlices class object.

Result:

• std::vector(Tensor) product_result : Returned object of executed result by calling session.

Using Method