 TensorFlow 1 version |  View source on GitHub |
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 | |
|---|---|
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)). Must be specified if input is a RaggedTensor. |
name | A name for the operation (optional). |
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 | |
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ValueError | The input cannot be converted to a tensor, or the specified axis cannot be squeezed. |