Permute input tensor from src_format
to dst_format
.
tf.raw_ops.DataFormatVecPermute( x, src_format='NHWC', dst_format='NCHW', name=None )
Input tensor must be a vector of size 4, or a 4x2 tensor.
For example, with src_format
of NHWC
, dst_format
of NCHW
, and inputs:
[1, 2, 3, 4]
and
[[1, 2, 3, 4], [5, 6, 7, 8]]
, the outputs will be (respectively):
[1, 4, 2, 3]
and
[[1, 4, 2, 3], [5, 8, 6, 7]]
Args | |
---|---|
x | A Tensor . Must be one of the following types: int32 , int64 . Vector of size 4 or Tensor of shape (4, 2) in source data format. |
src_format | An optional string . Defaults to "NHWC" . source data format. |
dst_format | An optional string . Defaults to "NCHW" . destination data format. |
name | A name for the operation (optional). |
Returns | |
---|---|
A Tensor . Has the same type as x . |
© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.4/api_docs/python/tf/raw_ops/DataFormatVecPermute