tf.raw_ops.LeftShift  |  TensorFlow v2.16.1 (original) (raw)

tf.raw_ops.LeftShift

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

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tf.compat.v1.raw_ops.LeftShift

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)>