Rawat, Swati
97b7a6315d
* Update LICENSE * Update conf.py * Update copyright year * [fix] Update copyright year * Update copyright year "ROCm Developer Tools" * Add license headers to c++ files * Add license to *.py * Update licenses in rocdecode sources --------- Co-authored-by: srawat <120587655+SwRaw@users.noreply.github.com> Co-authored-by: Mythreya <mythreya.kuricheti@amd.com> Co-authored-by: Jonathan R. Madsen <jonathanrmadsen@gmail.com>
87 lines
3.3 KiB
Python
87 lines
3.3 KiB
Python
#!/usr/bin/env python3
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# MIT License
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#
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# Copyright (c) 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 itertools
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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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def test_multi_agent_support(
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input_samples_csv: pd.DataFrame,
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input_kernel_trace_csv: pd.DataFrame,
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input_agent_info_csv: pd.DataFrame,
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):
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transpose_kernel_source_line_start = 137
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transpose_kernel_source_line_end = 145
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mi2xx_mi3xx_agents_df = input_agent_info_csv[
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input_agent_info_csv["Name"].apply(
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lambda name: name == "gfx90a" or name.startswith("gfx94")
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)
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]
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# Extract samples that originates from know code object it
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samples_df = input_samples_csv[input_samples_csv["Dispatch_Id"] != 0].copy()
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# Determine the agent on which sample was generated
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samples_df["Agent_Id"] = (
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samples_df["Dispatch_Id"]
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.map(input_kernel_trace_csv.set_index("Dispatch_Id")["Agent_Id"])
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.astype(np.uint64)
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)
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sampled_agents = samples_df["Agent_Id"].unique()
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sampled_agents_num = len(sampled_agents)
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# all agents must be sampled
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assert sampled_agents_num == len(mi2xx_mi3xx_agents_df)
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# separate samples per agents
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grouped_samples_per_agent = samples_df.groupby("Agent_Id")
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for agent_id, agent_samples_df in grouped_samples_per_agent:
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sampled_dispatches = agent_samples_df["Dispatch_Id"].unique()
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# at least 1 sampled dispatch per agent
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assert len(sampled_dispatches) >= 1
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# extract decoded samples that are mapped to the transpose.cpp file
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transpose_samples_df = samples_df[
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samples_df["Instruction_Comment"].apply(
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lambda comment: "transpose-all-agents.cpp" in comment
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)
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].copy()
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# determine the line number for each sample
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transpose_samples_df["Source_Line_Num"] = transpose_samples_df[
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"Instruction_Comment"
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].apply(lambda source_line: int(source_line.split(":")[-1]))
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# assert that line belongs to a kernel range
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assert (
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(transpose_samples_df["Source_Line_Num"] >= transpose_kernel_source_line_start)
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& (transpose_samples_df["Source_Line_Num"] <= transpose_kernel_source_line_end)
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).all()
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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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