T
- data type for z()
output@Operator(group="bitwise") public final class BitwiseOr<T extends Number> extends PrimitiveOp implements Operand<T>
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
operation
Modifier and Type | Method and Description |
---|---|
Output<T> |
asOutput()
Returns the symbolic handle of a tensor.
|
static <T extends Number> |
create(Scope scope,
Operand<T> x,
Operand<T> y)
Factory method to create a class wrapping a new BitwiseOr operation.
|
Output<T> |
z() |
equals, hashCode, op, toString
public static <T extends Number> BitwiseOr<T> create(Scope scope, Operand<T> x, Operand<T> y)
scope
- current scopex
- y
- public Output<T> asOutput()
Operand
Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.
asOutput
in interface Operand<T extends Number>
OperationBuilder.addInput(Output)
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