| # 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. |
| |
| require(mxnet) |
| |
| context("random") |
| |
| test_that("mx.runif", { |
| X <- mx.runif(shape = 50000, min = 0, max = 1, ctx = mx.ctx.default()) |
| expect_equal(X >= 0, mx.nd.ones(50000)) |
| expect_equal(X <= 1, mx.nd.ones(50000)) |
| sample_mean <- mean(as.array(X)) |
| expect_equal(sample_mean, 0.5, tolerance = 0.01) |
| }) |
| |
| test_that("mx.rnorm", { |
| X <- mx.rnorm(shape = 50000, mean = 5, sd = 0.1, ctx = mx.ctx.default()) |
| sample_mean <- mean(as.array(X)) |
| sample_sd <- sd(as.array(X)) |
| expect_equal(sample_mean, 5, tolerance = 0.01) |
| expect_equal(sample_sd, 0.1, tolerance = 0.01) |
| }) |
