# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved. # # Licensed 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. import os import subprocess import unittest import paddle class TestDistTRT(unittest.TestCase): def setUp(self): self.init_case() self.script = "test_trt_c_allreduce_infer_script.py" def init_case(self): self.op_type = "c_allreduce_sum" self.target_value = 4.0 self.precision = "fp16" def test_run(self): env = dict(os.environ) env["CUDA_VISIBLE_DEVICES"] = "0,1" cmd = f"python -u -m paddle.distributed.fleet.launch --gpus 0,1 {self.script} {self.op_type} {self.precision}" cmd = cmd.split(" ") local_proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, env=env) local_out, local_err = local_proc.communicate() for line in local_out.decode("utf-8").split("\n"): results = line.split("=") if len(results) == 2 and results[0] == "c_allreduce_out": self.assertEqual(float(results[1]), self.target_value) class TestMin(TestDistTRT): def init_case(self): self.op_type = "c_allreduce_min" self.target_value = 2.0 self.precision = "int8" # class TestMax(TestDistTRT): # # def init_case(self): # self.op_type = "c_allreduce_max" # self.target_value = 2. # self.precision = "fp16" # # # class TestProd(TestDistTRT): # # def init_case(self): # self.op_type = "c_allreduce_prod" # self.target_value = 2. # self.precision = "fp16" if __name__ == '__main__': paddle.enable_static() unittest.main()