# tf.raw_ops.LeftShift

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Elementwise computes the bitwise left-shift of `x` and `y`.

#### View aliases


**Compat aliases for migration**

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

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

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    tf.raw_ops.LeftShift(
        x, y, name=None
    )

If `y` is negative, or greater than or equal to the width of `x` in bits the
result is implementation defined.

#### Example:

    import tensorflow as tf
    from tensorflow.python.ops import bitwise_ops
    import numpy as np
    dtype_list = [tf.int8, tf.int16, tf.int32, tf.int64]

    for dtype in dtype_list:
      lhs = tf.constant([-1, -5, -3, -14], dtype=dtype)
      rhs = tf.constant([5, 0, 7, 11], dtype=dtype)

      left_shift_result = bitwise_ops.left_shift(lhs, rhs)

      print(left_shift_result)

    # This will print:
    # tf.Tensor([ -32   -5 -128    0], shape=(4,), dtype=int8)
    # tf.Tensor([   -32     -5   -384 -28672], shape=(4,), dtype=int16)
    # tf.Tensor([   -32     -5   -384 -28672], shape=(4,), dtype=int32)
    # tf.Tensor([   -32     -5   -384 -28672], shape=(4,), dtype=int64)

    lhs = np.array([-2, 64, 101, 32], dtype=np.int8)
    rhs = np.array([-1, -5, -3, -14], dtype=np.int8)
    bitwise_ops.left_shift(lhs, rhs)
    # <tf.Tensor: shape=(4,), dtype=int8, numpy=array([ -2,  64, 101,  32], dtype=int8)>

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| ## Args ||
|---|---|
| `x` | A `Tensor`. Must be one of the following types: `int8`, `int16`, `int32`, `int64`, `uint8`, `uint16`, `uint32`, `uint64`. |
| `y` | A `Tensor`. Must have the same type as `x`. |
| `name` | A name for the operation (optional). |

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

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