sandeep-krishnamurthy commented on a change in pull request #14977: Add an utility for operator benchmarks URL: https://github.com/apache/incubator-mxnet/pull/14977#discussion_r285693432
########## File path: benchmark/opperf/README.md ########## @@ -0,0 +1,120 @@ +<!--- 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. --> + +# MXNet Operator Performance Benchmarks + +A Python utility for benchmarking and profiling individual MXNet operator execution. + +# How to use + +## Prerequisites + +This utility uses MXNet profiler under the hood to fetch compute and memory metrics. Hence, you need to build MXNet with `USE_PROFILER=1` flag. + +Make sure to build the flavor of MXNet, for example - with/without MKL, with CUDA 9 or 10.1 etc., on which you would like to measure operator performance. + +## Usecase 1 - Run benchmarks for all the operators + +Below command runs all the MXNet operators (NDArray and Gluon) benchmarks with default inputs and saves the final result as JSON in the provided file. Review comment: Moving everything to focus on the building blocks i.e., just using NDArray for 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: [email protected] With regards, Apache Git Services
