Removes dimensions of size 1 from the shape of a tensor.

• tf.compat.v2.squeeze

 tf.squeeze(
    input,
    axis=None,
    name=None
)

• Neuralstyletransfer
• Textgeneration withan RNN
• Transformer model for languageunderstanding``
• Unicode strings 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.

 # '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]

tf.compat.v1.squeezeUnlike the older op , this op does not accept a deprecated squeeze_dims argument.

• input: A Tensor. The input to squeeze. A Tensor. Has the same type as input. Contains the same data as input, but has one or more dimensions of size 1 removed.
• ValueError: The input cannot be converted to a tensor, or the specified axis cannot be squeezed.