tf.squeeze
tf.squeeze
tf.squeeze
squeeze( input, axis=None, name=None, squeeze_dims=None )
Defined in tensorflow/python/ops/array_ops.py
.
See the guide: Tensor Transformations > Shapes and Shaping
Removes dimensions of size 1 from the shape of a tensor.
Given a tensor input
, this operation returns a tensor of the same type with all dimensions of size 1 removed. If you don't want to remove all size 1 dimensions, you can remove specific size 1 dimensions by specifying axis
.
For example:
# 't' is a tensor of shape [1, 2, 1, 3, 1, 1] shape(squeeze(t)) ==> [2, 3]
Or, to remove specific size 1 dimensions:
# 't' is a tensor of shape [1, 2, 1, 3, 1, 1] shape(squeeze(t, [2, 4])) ==> [1, 2, 3, 1]
Args:
-
input
: ATensor
. Theinput
to squeeze. -
axis
: An optional list ofints
. Defaults to[]
. If specified, only squeezes the dimensions listed. The dimension index starts at 0. It is an error to squeeze a dimension that is not 1. -
name
: A name for the operation (optional). -
squeeze_dims
: Deprecated keyword argument that is now axis.
Returns:
A Tensor
. Has the same type as input
. Contains the same data as input
, but has one or more dimensions of size 1 removed.
Raises:
-
ValueError
: When bothsqueeze_dims
andaxis
are specified.
© 2017 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/api_docs/python/tf/squeeze