| # 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. |
| def mxnet_check(): |
| """This is a simple test function for MXNet bridge |
| |
| It is not included as pytests, because of its dependency on mxnet |
| |
| User can directly run this script to verify correctness. |
| """ |
| import mxnet as mx |
| from tvm import topi |
| import tvm |
| from tvm import te |
| import numpy as np |
| from tvm.contrib.mxnet import to_mxnet_func |
| |
| # build a TVM function through topi |
| n = 20 |
| shape = (20,) |
| scale = te.var("scale", dtype="float32") |
| x = te.placeholder(shape) |
| y = te.placeholder(shape) |
| z = topi.broadcast_add(x, y) |
| zz = te.compute(shape, lambda *i: z(*i) * scale) |
| |
| target = tvm.target.cuda() |
| |
| # build the function |
| with target: |
| s = topi.generic.schedule_injective(zz) |
| f = tvm.build(s, [x, y, zz, scale]) |
| |
| # get a mxnet version |
| mxf = to_mxnet_func(f, const_loc=[0, 1]) |
| |
| ctx = mx.gpu(0) |
| xx = mx.nd.uniform(shape=shape, ctx=ctx) |
| yy = mx.nd.uniform(shape=shape, ctx=ctx) |
| zz = mx.nd.empty(shape=shape, ctx=ctx) |
| |
| # invoke myf: this runs in mxnet engine |
| mxf(xx, yy, zz, 10.0) |
| mxf(xx, yy, zz, 10.0) |
| |
| tvm.testing.assert_allclose(zz.asnumpy(), (xx.asnumpy() + yy.asnumpy()) * 10) |
| |
| |
| if __name__ == "__main__": |
| mxnet_check() |