tensorflow::ops::DataFormatVecPermute

Permute input tensor from src_format to dst_format.

Summary

Given source and destination format strings of length n=4 or 5, the input tensor must be a vector of size n or n-2, or a 2D tensor of shape (n, 2) or (n-2, 2).

If the first dimension of the input tensor is n-2, it is assumed that non-spatial dimensions are omitted (i.e N, C).

For example, with src_format of NHWC, dst_format of NCHW, and input:

[1, 2, 3, 4]

[1, 4, 2, 3]

[[1, 6], [2, 7], [3, 8], [4, 9], [5, 10]]

[[1, 6], [5, 10], [2, 7], [3, 8], [4, 9]]

[1, 2]

[1, 2]

Args:

• scope: A Scope object
• x: Tensor of rank 1 or 2 in source data format.

Optional attributes (see Attrs):

• src_format: source data format.
• dst_format: destination data format.

Returns:

• Output: Tensor of rank 1 or 2 in destination data format.

Public attributes

Operation operation

::tensorflow::Output y

Public functions

 DataFormatVecPermute(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input x
)

 DataFormatVecPermute(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input x,
  const DataFormatVecPermute::Attrs & attrs
)

::tensorflow::Node * node() const 

 operator::tensorflow::Input() const 

 operator::tensorflow::Output() const 

Public static functions

Attrs DstFormat(
  StringPiece x
)

Attrs SrcFormat(
  StringPiece x
)