LeftShift
קל לארגן דפים בעזרת אוספים
אפשר לשמור ולסווג תוכן על סמך ההעדפות שלך.
Elementwise מחשב את ההזזה שמאלה בסיביות של 'x' ו-'y'.
אם 'y' הוא שלילי, או גדול או שווה לרוחב 'x' בסיביות, התוצאה מוגדרת למימוש.
דוּגמָה:
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)>
קבועים
חוּט | OP_NAME | השם של המבצע הזה, כפי שידוע על ידי מנוע הליבה של TensorFlow |
שיטות בירושה
מכיתה java.lang.Object בוליאני | שווה (Object arg0) |
שיעור אחרון<?> | getClass () |
int | hashcode () |
ריק סופי | להודיע () |
ריק סופי | הודע הכל () |
חוּט | toString () |
ריק סופי | המתן (ארג0 ארוך, int arg1) |
ריק סופי | חכה (ארג0 ארוך) |
ריק סופי | חכה () |
קבועים
מחרוזת סופית סטטית ציבורית OP_NAME
השם של המבצע הזה, כפי שידוע על ידי מנוע הליבה של TensorFlow
ערך קבוע: "LeftShift"
שיטות ציבוריות
פלט ציבורי <T> asOutput ()
מחזירה את הידית הסמלית של הטנזור.
כניסות לפעולות TensorFlow הן יציאות של פעולת TensorFlow אחרת. שיטה זו משמשת להשגת ידית סמלית המייצגת את חישוב הקלט.
שיטת מפעל ליצירת מחלקה העוטפת פעולת LeftShift חדשה.
אלא אם צוין אחרת, התוכן של דף זה הוא ברישיון Creative Commons Attribution 4.0 ודוגמאות הקוד הן ברישיון Apache 2.0. לפרטים, ניתן לעיין במדיניות האתר Google Developers. Java הוא סימן מסחרי רשום של חברת Oracle ו/או של השותפים העצמאיים שלה.
עדכון אחרון: 2025-07-26 (שעון UTC).
[null,null,["עדכון אחרון: 2025-07-26 (שעון 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"]]