Nagaraj, Sriraksha
c30bb7cbda
* Adding agent-index * review changes * review comments addressed * minor fix * fix CI failure * review comments * Fix agent index test and address review comments * Build Fixes --------- Co-authored-by: Benjamin Welton <bewelton@amd.com>
81 خطوط
2.9 KiB
Python
81 خطوط
2.9 KiB
Python
#!/usr/bin/env python3
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# MIT License
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#
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# Copyright (c) 2024-2025 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
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# all 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
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# THE 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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import re
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kernel_list = sorted(
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["addition_kernel", "subtract_kernel", "multiply_kernel", "divide_kernel"]
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)
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def unique(lst):
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return list(set(lst))
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def test_validate_counter_collection_pmc1_extra_counters(input_data: pd.DataFrame):
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df = input_data
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assert not df.empty
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df_agent_id = df["Agent_Id"].str.split(" ").str[-1]
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assert (df_agent_id.astype(int).values >= 0).all()
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assert (df["Queue_Id"].astype(int).values > 0).all()
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assert (df["Process_Id"].astype(int).values > 0).all()
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assert len(df["Kernel_Name"]) > 0
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counter_collection_pmc1_kernel_list = [
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x
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for x in sorted(df["Kernel_Name"].unique().tolist())
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if not re.search(r"__amd_rocclr_.*", x)
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]
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assert kernel_list == counter_collection_pmc1_kernel_list
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kernel_count = dict([[itr, 0] for itr in kernel_list])
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assert len(kernel_count) == len(kernel_list)
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for itr in df["Kernel_Name"]:
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if re.search(r"__amd_rocclr_.*", itr):
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continue
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kernel_count[itr] += 1
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kn_cnt = [itr for _, itr in kernel_count.items()]
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assert min(kn_cnt) == max(kn_cnt) and len(unique(kn_cnt)) == 1
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assert len(df["Counter_Value"]) > 0
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assert df["Counter_Name"].str.contains("TEST_YAML_LOAD").all()
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assert (df["Counter_Value"].astype(int).values > 0).all()
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di_list = df["Dispatch_Id"].astype(int).values.tolist()
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di_uniq = sorted(df["Dispatch_Id"].unique().tolist())
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# make sure the dispatch ids are unique and ordered
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di_expect = [idx + 1 for idx in range(len(di_list))]
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assert di_expect == di_uniq
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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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