# tf.raw_ops.Squeeze

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

#### View aliases


**Compat aliases for migration**

See
[Migration guide](https://www.tensorflow.org/guide/migrate) for
more details.

[`tf.compat.v1.raw_ops.Squeeze`](https://www.tensorflow.org/api_docs/python/tf/raw_ops/Squeeze)

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    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]

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| ## 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). |

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| ## Returns ||
|---|---|
| A `Tensor`. Has the same type as `input`. ||

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