colramos-amd
86 regels
3.4 KiB
Python
86 regels
3.4 KiB
Python
##############################################################################bl
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# MIT License
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#
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# Copyright (c) 2021 - 2023 Advanced Micro Devices, Inc. All Rights Reserved.
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#
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# Permission is hereby granted, free of charge, to any person obtaining a copy
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# of this software and associated documentation files (the "Software"), to deal
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# in the Software without restriction, including without limitation the rights
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# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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# copies of the Software, and to permit persons to whom the Software is
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# furnished to do so, subject to the following conditions:
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#
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# The above copyright notice and this permission notice shall be included in all
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# copies or substantial portions of the Software.
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#
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# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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# SOFTWARE.
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##############################################################################el
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from omniperf_analyze.analysis_base import OmniAnalyze_Base
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from utils.utils import demarcate, error
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from utils import file_io, parser, tty
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from utils.csv_processor import kernel_name_shortener
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class cli_analysis(OmniAnalyze_Base):
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#-----------------------
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# Required child methods
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#-----------------------
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@demarcate
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def pre_processing(self):
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"""Perform any pre-processing steps prior to analysis.
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"""
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super().pre_processing()
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if self.get_args().random_port:
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error("--gui flag is required to enable --random-port")
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for d in self.get_args().path:
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# demangle and overwrite original 'KernelName'
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kernel_name_shortener(d[0], self.get_args().kernel_verbose)
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file_io.create_df_kernel_top_stats(
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raw_data_dir=d[0],
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filter_gpu_ids=self._runs[d[0]].filter_gpu_ids,
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filter_dispatch_ids=self._runs[d[0]].filter_dispatch_ids,
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time_unit=self.get_args().time_unit,
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max_kernel_num=self.get_args().max_kernel_num
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)
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# create 'mega dataframe'
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self._runs[d[0]].raw_pmc = file_io.create_df_pmc(
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d[0], self.get_args().verbose
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)
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# create the loaded table
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parser.load_table_data(
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workload=self._runs[d[0]],
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dir=d[0],
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is_gui=False,
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debug=self.get_args().debug,
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verbose=self.get_args().verbose
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)
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@demarcate
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def run_analysis(self):
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"""Run CLI analysis.
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"""
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super().run_analysis()
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if self.get_args().list_kernels:
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tty.show_kernels(
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self.get_args(),
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self._runs,
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self._arch_configs[self._runs[self.get_args().path[0][0]].sys_info.iloc[0]["gpu_soc"]],
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self._output
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)
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else:
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tty.show_all(
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self.get_args(),
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self._runs,
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self._arch_configs[self._runs[self.get_args().path[0][0]].sys_info.iloc[0]["gpu_soc"]],
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self._output
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)
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