tf.squeeze(input, axis=None, name=None, squeeze_dims=None)
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
# '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]
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.
name: A name for the operation (optional).
squeeze_dims: Deprecated keyword argument that is now axis.
Tensor. Has the same type as
Contains the same data as
input, but has one or more dimensions of
size 1 removed.
ValueError: When both