Madsen, Jonathan
3580478426
* Fix compilation for output library - link to targets for ATT (amd-comgr, dw, elf) * Relax correlation ID retirement log failures - only fail for correlation ID retirement underflow when building in CI mode * Fix shebang for several files - license was inserted before shebang in several places * Update code coverage exclude folders for samples * Tweak to agent tests - test to make sure hsa agent is not the old value instead of testing that it is the new value * Fix libdw include/link --------- Co-authored-by: Jonathan R. Madsen <jonathanrmadsen@gmail.com>
85 linhas
3.0 KiB
Python
85 linhas
3.0 KiB
Python
#!/usr/bin/env python3
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# MIT License
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#
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# Copyright (c) 2023-2025 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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import sys
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import pytest
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import numpy as np
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import pandas as pd
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# =========================== Validating fields common for both host-trap and stochastic CSV output
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def test_validate_pc_sampling_exec_mask_manipulation_csv(
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input_csv: pd.DataFrame, all_sampled: bool
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):
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from rocprofiler_sdk.pc_sampling.exec_mask_manipulation.csv import (
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exec_mask_manipulation_validate_csv,
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)
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exec_mask_manipulation_validate_csv(input_csv, all_sampled=all_sampled)
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# # ========================= Validating fields common for both host-trap and stochastic JSON output
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def test_validate_pc_sampling_exec_mask_manipulation_json(
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input_json, input_csv: pd.DataFrame, all_sampled: bool
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):
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data = input_json["rocprofiler-sdk-tool"]
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# The same amount of samples should be in both CSV and JSON files.
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assert len(input_csv) == len(data["buffer_records"]["pc_sample_stochastic"])
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# # validating JSON output
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from rocprofiler_sdk.pc_sampling.exec_mask_manipulation.json import (
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validate_json_exec_mask_manipulation,
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)
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validate_json_exec_mask_manipulation(
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data, pc_sampling_method="stochastic", all_sampled=all_sampled
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)
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# ======================== Validating fields specific for stochastic sampling
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def test_validate_pc_sampling_stochastic_specific_csv(input_csv: pd.DataFrame):
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from rocprofiler_sdk.pc_sampling.stochastic.csv.gfx9 import (
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validate_stochastic_samples_csv,
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)
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validate_stochastic_samples_csv(input_csv)
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def test_validate_pc_sampling_stochastic_specific_json(input_json):
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from rocprofiler_sdk.pc_sampling.stochastic.json.gfx9 import (
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validate_stochastic_samples_json,
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)
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validate_stochastic_samples_json(input_json["rocprofiler-sdk-tool"])
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if __name__ == "__main__":
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exit_code = pytest.main(["-x", __file__] + sys.argv[1:])
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sys.exit(exit_code)
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