Permute input tensor from src_format to dst_format.
tf.raw_ops.DataFormatVecPermute(
x, src_format='NHWC', dst_format='NCHW', name=None
)
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]
, the output will be:
[1, 4, 2, 3]
With src_format of NDHWC, dst_format of NCDHW, and input:
[[1, 6], [2, 7], [3, 8], [4, 9], [5, 10]]
, the output will be:
[[1, 6], [5, 10], [2, 7], [3, 8], [4, 9]]
With src_format of NHWC, dst_format of NCHW, and input:
[1, 2]
, the output will be:
[1, 2]
x
Tensor. Must be one of the following types: int32, int64.
Tensor of rank 1 or 2 in source data format.
src_format
string. Defaults to "NHWC".
source data format.
dst_format
string. Defaults to "NCHW".
destination data format.
name
Tensor. Has the same type as x.
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Last updated 2024-04-26 UTC.