LeftShift
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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 |
Inherited Methods
From class
java.lang.Object
boolean
|
equals(Object arg0)
|
final
Class<?>
|
getClass()
|
int
|
hashCode()
|
final
void
|
notify()
|
final
void
|
notifyAll()
|
String
|
toString()
|
final
void
|
wait(long arg0, int arg1)
|
final
void
|
wait(long arg0)
|
final
void
|
wait()
|
From interface
org.tensorflow.Operand
abstract
Output<T>
|
asOutput()
Returns the symbolic handle of the tensor.
|
abstract
T
|
asTensor()
Returns the tensor at this operand.
|
abstract
Shape
|
shape()
Returns the (possibly partially known) shape of the tensor referred to by the Output of this operand.
|
abstract
Class<T>
|
type()
Returns the tensor type of this operand
|
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.
Factory method to create a class wrapping a new LeftShift operation.
Returns
- a new instance of LeftShift
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.
Last updated 2021-11-29 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2021-11-29 UTC."],[],[],null,["# LeftShift\n\npublic final class **LeftShift** \nElementwise computes the bitwise left-shift of \\`x\\` and \\`y\\`.\n\n\nIf \\`y\\` is negative, or greater than or equal to the width of \\`x\\` in bits the\nresult is implementation defined.\n\n\nExample: \n\n import tensorflow as tf\n from tensorflow.python.ops import bitwise_ops\n import numpy as np\n dtype_list = [tf.int8, tf.int16, tf.int32, tf.int64]\n \n for dtype in dtype_list:\n lhs = tf.constant([-1, -5, -3, -14], dtype=dtype)\n rhs = tf.constant([5, 0, 7, 11], dtype=dtype)\n \n left_shift_result = bitwise_ops.left_shift(lhs, rhs)\n \n print(left_shift_result)\n \n # This will print:\n # tf.Tensor([ -32 -5 -128 0], shape=(4,), dtype=int8)\n # tf.Tensor([ -32 -5 -384 -28672], shape=(4,), dtype=int16)\n # tf.Tensor([ -32 -5 -384 -28672], shape=(4,), dtype=int32)\n # tf.Tensor([ -32 -5 -384 -28672], shape=(4,), dtype=int64)\n \n lhs = np.array([-2, 64, 101, 32], dtype=np.int8)\n rhs = np.array([-1, -5, -3, -14], dtype=np.int8)\n bitwise_ops.left_shift(lhs, rhs)\n # \u003ctf.Tensor: shape=(4,), dtype=int8, numpy=array([ -2, 64, 101, 32], dtype=int8)\u003e\n \n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n### Constants\n\n|--------|---------------------------------------------------------------------------|---------------------------------------------------------|\n| String | [OP_NAME](/jvm/api_docs/java/org/tensorflow/op/bitwise/LeftShift#OP_NAME) | The name of this op, as known by TensorFlow core engine |\n\n### Public Methods\n\n|-----------------------------------------------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [Output](/jvm/api_docs/java/org/tensorflow/Output)\\\u003cT\\\u003e | [asOutput](/jvm/api_docs/java/org/tensorflow/op/bitwise/LeftShift#asOutput())() Returns the symbolic handle of the tensor. |\n| static \\\u003cT extends [TNumber](/jvm/api_docs/java/org/tensorflow/types/family/TNumber)\\\u003e [LeftShift](/jvm/api_docs/java/org/tensorflow/op/bitwise/LeftShift)\\\u003cT\\\u003e | [create](/jvm/api_docs/java/org/tensorflow/op/bitwise/LeftShift#create(org.tensorflow.op.Scope, org.tensorflow.Operand\u003cT\u003e, org.tensorflow.Operand\u003cT\u003e))([Scope](/jvm/api_docs/java/org/tensorflow/op/Scope) scope, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003cT\\\u003e x, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003cT\\\u003e y) Factory method to create a class wrapping a new LeftShift operation. |\n| [Output](/jvm/api_docs/java/org/tensorflow/Output)\\\u003cT\\\u003e | [z](/jvm/api_docs/java/org/tensorflow/op/bitwise/LeftShift#z())() |\n\n### Inherited Methods\n\nFrom class [org.tensorflow.op.RawOp](/jvm/api_docs/java/org/tensorflow/op/RawOp) \n\n|----------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| final boolean | [equals](/jvm/api_docs/java/org/tensorflow/op/RawOp#equals(java.lang.Object))(Object obj) |\n| final int | [hashCode](/jvm/api_docs/java/org/tensorflow/op/RawOp#hashCode())() |\n| [Operation](/jvm/api_docs/java/org/tensorflow/Operation) | [op](/jvm/api_docs/java/org/tensorflow/op/RawOp#op())() Return this unit of computation as a single [Operation](/jvm/api_docs/java/org/tensorflow/Operation). |\n| final String | [toString](/jvm/api_docs/java/org/tensorflow/op/RawOp#toString())() |\n\nFrom class java.lang.Object \n\n|------------------|---------------------------|\n| boolean | equals(Object arg0) |\n| final Class\\\u003c?\\\u003e | getClass() |\n| int | hashCode() |\n| final void | notify() |\n| final void | notifyAll() |\n| String | toString() |\n| final void | wait(long arg0, int arg1) |\n| final void | wait(long arg0) |\n| final void | wait() |\n\nFrom interface [org.tensorflow.op.Op](/jvm/api_docs/java/org/tensorflow/op/Op) \n\n|-----------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| abstract [ExecutionEnvironment](/jvm/api_docs/java/org/tensorflow/ExecutionEnvironment) | [env](/jvm/api_docs/java/org/tensorflow/op/Op#env())() Return the execution environment this op was created in. |\n| abstract [Operation](/jvm/api_docs/java/org/tensorflow/Operation) | [op](/jvm/api_docs/java/org/tensorflow/op/Op#op())() Return this unit of computation as a single [Operation](/jvm/api_docs/java/org/tensorflow/Operation). |\n\nFrom interface [org.tensorflow.Operand](/jvm/api_docs/java/org/tensorflow/Operand) \n\n|-------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| abstract [Output](/jvm/api_docs/java/org/tensorflow/Output)\\\u003cT\\\u003e | [asOutput](/jvm/api_docs/java/org/tensorflow/Operand#asOutput())() Returns the symbolic handle of the tensor. |\n| abstract T | [asTensor](/jvm/api_docs/java/org/tensorflow/Operand#asTensor())() Returns the tensor at this operand. |\n| abstract [Shape](/jvm/api_docs/java/org/tensorflow/ndarray/Shape) | [shape](/jvm/api_docs/java/org/tensorflow/Operand#shape())() Returns the (possibly partially known) shape of the tensor referred to by the [Output](/jvm/api_docs/java/org/tensorflow/Output) of this operand. |\n| abstract Class\\\u003cT\\\u003e | [type](/jvm/api_docs/java/org/tensorflow/Operand#type())() Returns the tensor type of this operand |\n\nFrom interface [org.tensorflow.ndarray.Shaped](/jvm/api_docs/java/org/tensorflow/ndarray/Shaped) \n\n|-------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------|\n| abstract int | [rank](/jvm/api_docs/java/org/tensorflow/ndarray/Shaped#rank())() |\n| abstract [Shape](/jvm/api_docs/java/org/tensorflow/ndarray/Shape) | [shape](/jvm/api_docs/java/org/tensorflow/ndarray/Shaped#shape())() |\n| abstract long | [size](/jvm/api_docs/java/org/tensorflow/ndarray/Shaped#size())() Computes and returns the total size of this container, in number of values. |\n\nConstants\n---------\n\n#### public static final String\n**OP_NAME**\n\nThe name of this op, as known by TensorFlow core engine \nConstant Value: \"LeftShift\"\n\nPublic Methods\n--------------\n\n#### public [Output](/jvm/api_docs/java/org/tensorflow/Output)\\\u003cT\\\u003e\n**asOutput**\n()\n\nReturns the symbolic handle of the tensor.\n\nInputs to TensorFlow operations are outputs of another TensorFlow operation. This method is\nused to obtain a symbolic handle that represents the computation of the input.\n\n\u003cbr /\u003e\n\n#### public static [LeftShift](/jvm/api_docs/java/org/tensorflow/op/bitwise/LeftShift)\\\u003cT\\\u003e\n**create**\n([Scope](/jvm/api_docs/java/org/tensorflow/op/Scope) scope, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003cT\\\u003e x, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003cT\\\u003e y)\n\nFactory method to create a class wrapping a new LeftShift operation. \n\n##### Parameters\n\n| scope | current scope |\n|-------|---------------|\n\n##### Returns\n\n- a new instance of LeftShift \n\n#### public [Output](/jvm/api_docs/java/org/tensorflow/Output)\\\u003cT\\\u003e\n**z**\n()\n\n\u003cbr /\u003e"]]