yzhliu commented on a change in pull request #15550: Infra to use tvm write op kernels URL: https://github.com/apache/incubator-mxnet/pull/15550#discussion_r305164261
########## File path: contrib/tvmop/compile.py ########## @@ -0,0 +1,58 @@ +# 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 +"""TVM Operator compile entry point""" +import tvm + +import os +import argparse +from tvmop.opdef import __OP_DEF__ + +def get_target(device): + if device == "cpu": + return "llvm" + elif device == "cuda" or device == "gpu": + return "cuda" + assert False, "Unknown device " + device + + +if __name__ == "__main__": + import sys + sys.path.append(os.path.dirname(sys.path[0])) + parser = argparse.ArgumentParser(description="Generate tvm operators") + parser.add_argument("-o", action="store", required=True, dest="target_path", + help="Target path which stores compiled library") + arguments = parser.parse_args() + + func_list_llvm = [] + func_list_cuda = [] + + for operator_def in __OP_DEF__: + for sch, args in operator_def.invoke_all(): + if tvm.module.enabled(get_target(operator_def.target)): + func_list = func_list_llvm if operator_def.target == "cpu" else func_list_cuda + func_lower = tvm.lower(sch, args, + name=operator_def.get_op_name(args), + binds=operator_def.get_binds(args)) + func_list.append(func_lower) + + lowered_funcs = {get_target("cpu") : func_list_llvm} + if len(func_list_cuda) > 0: + lowered_funcs[get_target("cuda")] = func_list_cuda + func_binary = tvm.build(lowered_funcs, name="tvmop") Review comment: That's a good idea. while I'm not sure where to attach the target info at this moment. How about we add a TODO and revisit later? ---------------------------------------------------------------- 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
