TensorFlow 1 version
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View source on GitHub
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Removes dimensions of size 1 from the shape of a tensor.
tf.squeeze(
input, axis=None, 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]
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]
Unlike the older op tf.compat.v1.squeeze, this op does not accept a
deprecated squeeze_dims argument.
Args | |
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input
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A Tensor. The input to squeeze.
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axis
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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)). Must be specified if input is a
RaggedTensor.
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name
|
A name for the operation (optional). |
Returns | |
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A Tensor. Has the same type as input.
Contains the same data as input, but has one or more dimensions of
size 1 removed.
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Raises | |
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ValueError
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The input cannot be converted to a tensor, or the specified axis cannot be squeezed. |