tensorflow::ops::RestoreSlice

Restores a tensor from checkpoint files.

Summary

This is like Restore except that restored tensor can be listed as filling only a slice of a larger tensor. shape_and_slice specifies the shape of the larger tensor and the slice that the restored tensor covers.

The shape_and_slice input has the same format as the elements of the shapes_and_slices input of the SaveSlices op.

Args:

• 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 (see Attrs):

• preferred_shard: Index of file to open first if multiple files match file_pattern. See the documentation for Restore.

Returns:

• Output: The restored tensor.

Public attributes

Operation operation

::tensorflow::Output tensor

Public functions

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

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

::tensorflow::Node * node() const 

 operator::tensorflow::Input() const 

 operator::tensorflow::Output() const 

Public static functions

Attrs PreferredShard(
  int64 x
)