# 需要导入模块: from tensorflow.compat import v1 [as 别名]# 或者: from tensorflow.compat.v1 importreduce_prod[as 别名]def_conv1d_expression(expr, w, padding, stride):"""Scale a linear expression by w (through a convolutional layer)."""b = tf.nn.conv1d(expr.b, w, padding=padding,...
math_ops.reduce_prod(sample ** powers, axis=-1)) true_value =1.0/ math_ops.reduce_prod(powers +1.0)# Produces a relative absolute error of 1.7%.self.assertAllClose(integral.eval(), true_value.eval(), rtol=0.02)# Now skip the first 1000 samples and recompute the integral with the ...
math . reduce _ prod()原文:https://www . geesforgeks . org/python-tensorflow-math-reduce _ prod/TensorFlow 是谷歌设计的开源 Python 库,用于开发机器学习模型和深度学习神经网络。reduce_prod() 用于求张量各维元素的乘积。语法:tensorflow . math . reduce _ prod(input _ tensor,axis,keepdims,name)...
General ReduceProd operation performs the reduction with multiplication on a given src data along dimensions specified by axes. Take channel axis = 0 and keep_dims = True as an example: Operation attributes Attribute Name Description Value Type ...
Hi, I'm trying to convert a transformer network to TFLM. When I try to run my encoder, I get the following error: "Didn't find op for builtin opcode 'REDUCE_PROD' version '1'.An older version of this builtin might be supported. Are you u...
vars = tf.Variable([1., 2.]) tf.initialize_all_variables().run() tf.gradients(tf.reduce_prod(vars), vars)[0].eval() yields [ 2., 1.] which is correct. But vars = tf.Variable([0., 2.]) tf.initialize_all_variables().run() tf.gradients(tf.r...
# -*- coding: utf-8 -*- fromfunctoolsimportreduce defprod(L): deffn(x, y): returnx*y returnreduce(fn, L) #测试 print('3 * 5 * 7 * 9 =', prod([3,5,7,9])) ifprod([3,5,7,9])==945: print('测试成功!') else: print('测试失败!')...
#导入库from functools import reduce# 写一个prod()函数,可以接受一个list并利用reduce()求积def prod(list):# 声明自定义函数prod()def quadrature(x, y): # 设计自定义函数quadraturereturn x*y # 返回乘积return reduce(quadrature, list)# 测试list = [1,2,3,4,5]print(prod(list))结果120 ...
1#!/usr/bin/python2#-*- coding:utf-8 -*-3'''4Python提供的sum()函数可以接受一个list并求和,请编写一个prod()函数,可以接受一个list并利用reduce()求积:5'''6fromfunctoolsimportreduce7defprod(L):8returnreduce(lambdax, y: x*y, L)9print(prod([3, 5, 7, 9]))...
Optype [ReduceProd] of Ops kernel [DNN_VM HOST_CPU_OP_STORE] is unsupported. Reason: data_type DT_BCOL of input x is unsupported by current kernel info store. op type [ReduceProd].. Optype [ReduceProd] of Ops kernel [aicpu_tf_kernel] is unsupported. Reason: data_type DT_BCOL of...