rondogency commented on a change in pull request #17270: Dynamic custom operator GPU support URL: https://github.com/apache/incubator-mxnet/pull/17270#discussion_r371045994
########## File path: example/extensions/lib_custom_op/test_relu.py ########## @@ -0,0 +1,69 @@ +#!/usr/bin/env python3 + +# 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. + +# coding: utf-8 +# pylint: disable=arguments-differ + +# This test checks dynamic loading of custom library into MXNet +# and checks end to end compute of a simple 2D gemm custom op + +import mxnet as mx +import os +import time + +#load library +if (os.name=='posix'): + path = os.path.abspath('librelu_lib.so') + mx.library.load(path) + +a = mx.nd.array([[-2,-1],[1,2]], ctx=mx.cpu()) +b = mx.nd.array([[-2,-1],[1,2]], ctx=mx.gpu()) + +print("--------start ndarray compute---------") +print(mx.nd.my_relu(a)) +print(mx.nd.my_relu(b)) +print(mx.nd.my_state_relu(a)) +print(mx.nd.my_state_relu(b)) + +print("--------start symbolic compute--------") +c = mx.sym.Variable('c') +d = mx.sym.my_relu(c) +in_grad = [mx.nd.empty((2,2), ctx=mx.gpu())] +exe = d.bind(ctx=mx.gpu(), args={'c':b}, args_grad=in_grad) +out = exe.forward() +print(out) + +print("--------start backward compute--------") +out_grad = mx.nd.ones((2,2), ctx=mx.gpu()) +exe.backward([out_grad]) +print(in_grad) + +print("--------start stress test---------") +a = mx.nd.uniform(shape=(1000,1000,100), ctx=mx.cpu()) +b = mx.nd.uniform(shape=(1000,1000,100), ctx=mx.gpu()) +t1 = time.time() +r1 = mx.nd.my_relu(a) +t2 = time.time() +r2 = mx.nd.my_relu(b) +t3 = time.time() +print("CPU running time:") +print(t2 - t1) Review comment: thanks for the pointing out the error. I didn't pay attention as we would do more tests including benchmark tests in the coming PRs. I have made the fix now. ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services
