| #------------------------------------------------------------- |
| # |
| # 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. |
| # |
| #------------------------------------------------------------- |
| |
| miniBatch = function(Matrix[Double] D) return (Matrix[Double] R) { |
| bs = 2048; |
| ep = 10; |
| iter_ep = ceil(nrow(D)/bs); |
| maxiter = ep * iter_ep; |
| beg = 1; |
| iter = 0; |
| i = 1; |
| |
| while (iter < maxiter) { |
| end = beg + bs - 1; |
| if (end>nrow(D)) |
| end = nrow(D); |
| X = D[beg:end,] |
| |
| # reusable OP across epochs |
| X = scale(X, TRUE, TRUE); |
| # pollute cache with not reusable OPs |
| X = ((X + X) * i - X) / (i+1) |
| X = ((X + X) * i - X) / (i+1) |
| X = ((X + X) * i - X) / (i+1) |
| X = ((X + X) * i - X) / (i+1) |
| X = ((X + X) * i - X) / (i+1) |
| |
| iter = iter + 1; |
| if (end == nrow(D)) |
| beg = 1; |
| else |
| beg = end + 1; |
| i = i + 1; |
| |
| } |
| R = X; |
| } |
| |
| D = rand(rows=25600, cols=784, min=0, max=20, seed=42) |
| for (i in 1:3) { |
| R = miniBatch(D); |
| print(sum(R)); |
| } |
| write(R, $1, format="text"); |
| |