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# LeftShift

public final class LeftShift

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

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)>
``````

### Constants

 String OP_NAME The name of this op, as known by TensorFlow core engine

### Public Methods

 Output () Returns the symbolic handle of the tensor. static LeftShift ( Scope scope, Operand x, Operand y) Factory method to create a class wrapping a new LeftShift operation. Output ()

## Constants

#### public static final String OP_NAME

The name of this op, as known by TensorFlow core engine

Constant Value: "LeftShift"

## Public Methods

#### public Output <T> asOutput ()

Returns the symbolic handle of the tensor.

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.

#### public static LeftShift <T> create ( Scope scope, Operand <T> x, Operand <T> y)

Factory method to create a class wrapping a new LeftShift operation.

##### Parameters
 scope current scope
##### Returns
• a new instance of LeftShift

#### public Output <T> z ()

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