tf.squeeze(
input,
axis=None,
name=None,
squeeze_dims=None
)
Defined in tensorflow/python/ops/array_ops.py
.
Removes dimensions of size 1 from the shape of a tensor. (deprecated arguments)
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]
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. 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.
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.