| #------------------------------------------------------------- |
| # |
| # Licensed to the Apache Software Foundation (ASF) under one |
| # or more contributor license agreements. See the NOTICE file |
| # distributed with this work for additional information |
| # regarding copyright ownership. The ASF licenses this file |
| # to you under the Apache License, Version 2.0 (the |
| # "License"); you may not use this file except in compliance |
| # with the License. You may obtain a copy of the License at |
| # |
| # http://www.apache.org/licenses/LICENSE-2.0 |
| # |
| # Unless required by applicable law or agreed to in writing, |
| # software distributed under the License is distributed on an |
| # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY |
| # KIND, either express or implied. See the License for the |
| # specific language governing permissions and limitations |
| # under the License. |
| # |
| #------------------------------------------------------------- |
| |
| N = 64 |
| C = 4 |
| H = 12 |
| W = 12 |
| X = matrix(7, N, C*H*W); |
| B = seq(1, C) |
| |
| while(FALSE){} |
| |
| R1 = bias_add(X, B); |
| R2 = bias_multiply(X, B); |
| R = (R1 + R2) / rowSums(X); |
| |
| while(FALSE){} |
| R = as.matrix(sum(R)); |
| |
| write(R, $1) |
