# tf.bitwise.right_shift

Defined in generated file: `python/ops/gen_bitwise_ops.py`

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

### Aliases:

• `tf.compat.v1.bitwise.right_shift`
• `tf.compat.v2.bitwise.right_shift`
``````tf.bitwise.right_shift(
x,
y,
name=None
)
``````

Performs a logical shift for unsigned integer types, and an arithmetic shift for signed integer types.

If `y` is negative, or greater than or equal to than 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)

right_shift_result = bitwise_ops.right_shift(lhs, rhs)

print(right_shift_result)

# This will print:
# tf.Tensor([-1 -5 -1 -1], shape=(4,), dtype=int8)
# tf.Tensor([-1 -5 -1 -1], shape=(4,), dtype=int16)
# tf.Tensor([-1 -5 -1 -1], shape=(4,), dtype=int32)
# tf.Tensor([-1 -5 -1 -1], 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.right_shift(lhs, rhs)
# <tf.Tensor: id=151, shape=(4,), dtype=int8, numpy=array([ -2,  64, 101,  32], dtype=int8)>
``````

#### 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).

#### Returns:

A `Tensor`. Has the same type as `x`.