tf.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] tf.shape(tf.squeeze(t)) # [2, 3]
Or, to remove specific size 1 dimensions:
# 't' is a tensor of shape [1, 2, 1, 3, 1, 1] tf.shape(tf.squeeze(t, [2, 4])) # [1, 2, 3, 1]
input
: A Tensor
. The input
to squeeze.axis
: An optional list of ints
. 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. Must be in the range [-rank(input), rank(input))
.name
: A name for the operation (optional).squeeze_dims
: Deprecated keyword argument that is now axis.A Tensor
. Has the same type as input
. Contains the same data as input
, but has one or more dimensions of size 1 removed.
ValueError
: When both squeeze_dims
and axis
are specified.
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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