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TensorFlow 1 version

Defined in generated file: python/ops/

Elementwise computes the bitwise OR of x and y.


  • tf.compat.v1.bitwise.bitwise_or
  • tf.compat.v2.bitwise.bitwise_or

The result will have those bits set, that are set in x, y or both. The computation is performed on the underlying representations of x and y.

For example:

import tensorflow as tf
from tensorflow.python.ops import bitwise_ops
dtype_list = [tf.int8, tf.int16, tf.int32, tf.int64,
              tf.uint8, tf.uint16, tf.uint32, tf.uint64]

for dtype in dtype_list:
  lhs = tf.constant([0, 5, 3, 14], dtype=dtype)
  rhs = tf.constant([5, 0, 7, 11], dtype=dtype)
  exp = tf.constant([5, 5, 7, 15], dtype=tf.float32)

  res = bitwise_ops.bitwise_or(lhs, rhs)
  tf.assert_equal(tf.cast(res,  tf.float32), exp)  # TRUE


  • 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).


A Tensor. Has the same type as x.