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66 lines
2.5 KiB
66 lines
2.5 KiB
# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import paddle.v2.fluid.core as core
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from contextlib import contextmanager
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import os
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__all__ = ['CudaProfiler']
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NVPROF_CONFIG = [
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"gpustarttimestamp",
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"gpuendtimestamp",
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"gridsize3d",
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"threadblocksize",
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"streamid",
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"enableonstart 0",
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"conckerneltrace",
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]
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@contextmanager
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def cuda_profiler(output_file, output_mode=None, config=None):
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"""The CUDA profiler.
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This fuctions is used to profile CUDA program by CUDA runtime application
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programming interface. The profiling result will be written into
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`output_file` with Key-Value pair format or Comma separated values format.
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The user can set the output mode by `output_mode` argument and set the
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counters/options for profiling by `config` argument. The default config
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is ['gpustarttimestamp', 'gpustarttimestamp', 'gridsize3d',
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'threadblocksize', 'streamid', 'enableonstart 0', 'conckerneltrace'].
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Args:
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output_file (string) : The output file name, the result will be
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written into this file.
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output_mode (string) : The output mode has Key-Value pair format and
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Comma separated values format. It should be 'kvp' or 'csv'.
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config (list of string) : The profiler options and counters can refer
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to "Compute Command Line Profiler User Guide".
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"""
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if output_mode is None:
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output_mode = 'csv'
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if output_mode not in ['kvp', 'csv']:
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raise ValueError("The output mode must be 'kvp' or 'csv'.")
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config = NVPROF_CONFIG if config is None else config
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config_file = 'nvprof_config_file'
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with open(config_file, 'wb') as fp:
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fp.writelines(["%s\n" % item for item in config])
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core.nvprof_init(output_file, output_mode, config_file)
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# Enables profiler collection by the active CUDA profiling tool.
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core.nvprof_start()
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yield
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# Disables profiler collection.
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core.nvprof_stop()
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os.remove(config_file)
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