tf.raw_ops.Squeeze
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Removes dimensions of size 1 from the shape of a tensor.
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tf.compat.v1.raw_ops.Squeeze
tf.raw_ops.Squeeze(
input, axis=[], name=None
)
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
|
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).
|
Returns |
A Tensor . Has the same type as input .
|
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Last updated 2024-04-26 UTC.
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