# Copyright (c) 2021 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 from paddle.fluid.core import is_compiled_with_cuda, is_compiled_with_rocm, CUDAPlace if is_compiled_with_cuda() and not is_compiled_with_rocm(): from paddle.fluid.core import CUDAGraph as CoreCUDAGraph else: CoreCUDAGraph = None class CUDAGraph: def __init__(self, place=None, mode="thread_local"): assert CoreCUDAGraph is not None, "CUDA Graph is only supported on PaddlePaddle compiled with NVIDIA GPU." ALL_MODES = ["global", "thread_local", "relaxed"] self._graph = None if place is None: device_id = int(os.environ.get('FLAGS_selected_gpus', 0)) place = CUDAPlace(device_id) self._place = place assert mode in ALL_MODES self._mode = ALL_MODES.index(mode) def capture_begin(self): CoreCUDAGraph.begin_capture(self._place, self._mode) def capture_end(self): self._graph = CoreCUDAGraph.end_capture() def replay(self): self._graph.replay() def reset(self): self._graph.reset() def print_to_dot_files(self, dirname, flags=None): if not isinstance(dirname, (str, bytes)): dirname = dirname.name os.makedirs(name=dirname, exist_ok=True) assert os.path.isdir( dirname), "The dirname {} should be a directory".format(dirname) if flags is None: flags = 2047 # only all information. It can be any integer inside [1, 2048) self._graph.print_to_dot_files(dirname, flags)