RestoreSlices

tensorflow C++ API

tensorflow::ops::RestorSlices

Restores a tensor from checkpoint files.

Summary

This is likeRestoreexcept that restored tensor can be listed as filling only a slice of a larger tensor.shape_and_slicespecifies the shape of the larger tensor and the slice that the restored tensor covers.

Theshape_and_sliceinput has the same format as the elements of theshapes_and_slicesinput of theSaveSlicesop.

Arguments:

• scope: A Scope object
• file_pattern: Must have a single element. The pattern of the files from which we read the tensor.
• tensor_name: Must have a single element. The name of the tensor to be restored.
• shape_and_slice: Scalar. The shapes and slice specifications to use when restoring a tensors.
• dt: The type of the tensor to be restored.

Optional attributes (seeAttrs):

• preferred_shard: Index of file to open first if multiple files matchfile_pattern. See the documentation forRestore.

Returns:

• Output : The restored tensor.

Constructor

• RestoreSlice(const ::tensorflow::Scope & scope, ::tensorflow::Input file_pattern, ::tensorflow::Input tensor_name, ::tensorflow::Input shape_and_slice, DataType dt, const RestoreSlice::Attrs & attrs).

Public attributes

• tensorflow::Output tensor

Restore 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 file_pattern: input file_pattern with path.
• Input tensor_names: input tensor_name.
• Restore::Attrs attrs : input attrs. ex) preferred_shard_ = -1;

Return:

• Output tensor : Output tensor of Restore class object.

Result:

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

Using Method