old_contents: #   Copyright (c) 2018 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.
  
  from __future__ import print_function
  
  import unittest
  import numpy as np
  import paddle.fluid as fluid
  import paddle.fluid.core as core
  from paddle.fluid.tests.unittests.test_profiler import TestProfiler
  
  
  class TestPEProfiler(TestProfiler):
      def test_cpu_profiler(self):
          exe = fluid.Executor(fluid.CPUPlace())
          self.net_profiler(exe, 'CPU', "Default", use_parallel_executor=True)
  
      @unittest.skipIf(not core.is_compiled_with_cuda(),
                       "profiler is enabled only with GPU")
      def test_cuda_profiler(self):
          exe = fluid.Executor(fluid.CUDAPlace(0))
          self.net_profiler(exe, 'GPU', "OpDetail", use_parallel_executor=True)
  
      @unittest.skipIf(not core.is_compiled_with_cuda(),
                       "profiler is enabled only with GPU")
      def test_all_profiler(self):
          exe = fluid.Executor(fluid.CUDAPlace(0))
          self.net_profiler(exe, 'All', "AllOpDetail", use_parallel_executor=True)
  
  
  if __name__ == '__main__':
      unittest.main()
  
new_contents: #   Copyright (c) 2018 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.
  
  from __future__ import print_function
  
  import unittest
  import numpy as np
  import paddle.fluid as fluid
  import paddle.fluid.core as core
  from paddle.fluid.tests.unittests.test_profiler import TestProfiler
  import os
  
  # NCCL 2.7 decides to use shared memory while NCCL 2.6 didn't, hence causing the error.
  # include/shm.h:28 NCCL WARN Call to posix_fallocate failed: No space left on device
  #
  # Set environment variables NCCL_SHM_DISABLE=1 to disables the Shared Memory (SHM) transports 
  # and force to use P2P which is the default transports way of NCCL2.6.
  os.environ['NCCL_SHM_DISABLE'] = str(1)
  
  
  class TestPEProfiler(TestProfiler):
      def test_cpu_profiler(self):
          exe = fluid.Executor(fluid.CPUPlace())
          self.net_profiler(exe, 'CPU', "Default", use_parallel_executor=True)
  
      @unittest.skipIf(not core.is_compiled_with_cuda(),
                       "profiler is enabled only with GPU")
      def test_cuda_profiler(self):
          exe = fluid.Executor(fluid.CUDAPlace(0))
          self.net_profiler(exe, 'GPU', "OpDetail", use_parallel_executor=True)
  
      @unittest.skipIf(not core.is_compiled_with_cuda(),
                       "profiler is enabled only with GPU")
      def test_all_profiler(self):
          exe = fluid.Executor(fluid.CUDAPlace(0))
          self.net_profiler(exe, 'All', "AllOpDetail", use_parallel_executor=True)
  
  
  if __name__ == '__main__':
      unittest.main()
  
subject: set NCCL_SHM_DISABLE=1 for test_parallel_executor_profilery.py (#28484)