Files
rocm-systems/tests/rocprofv3/pc-sampling/stochastic/transpose-multiple-agents/conftest.py
T
Indic, Vladimir 49ce79a5b5 [SDK][rocprofv3] MI300 Stochastic PC sampling (#92)
* MI300 Stochastic PC sampling SDK API implementation

* ROCProfV3: Stochastic PC sampling Support (#94)

* ROCProfV3: MI300 Stochastic PC sampling initial draft

* ROCProfV3: Initial Stochastic PC sampling Tests (#95)

ROCProfV3: Initial Stochastic PC sampling tests

* Update rocprofiler_pc_sampling_record_stochastic_v0_t

- update doxygen docs for members
- replace rocprofiler_correlation_id_t with rocprofiler_async_correlation_id_t

* Relax the check in JSON tests

* drain PC sampling buffer during finalize_rocprofv3

* Increase timeout for "Test Install Build" step

- 10 minutes -> 20 minutes
- "Test Installed Packages" has 20 minutes so "Test Install Build" should also

---------

Co-authored-by: Jonathan R. Madsen <jonathanrmadsen@gmail.com>
2025-03-21 14:40:45 -05:00

85 regels
2.4 KiB
Python

#!/usr/bin/env python3
import json
import os
import pytest
import pandas as pd
from rocprofiler_sdk.pytest_utils.dotdict import dotdict
from rocprofiler_sdk.pytest_utils import collapse_dict_list
def pytest_addoption(parser):
parser.addoption(
"--input-samples-csv",
action="store",
help="Path to CSV file containing PC samples.",
)
parser.addoption(
"--input-kernel-trace-csv",
action="store",
help="Path to CSV file containing kernel trace.",
)
parser.addoption(
"--input-agent-info-csv",
action="store",
help="Path to CSV file containing agents information.",
)
parser.addoption(
"--input-samples-json",
action="store",
help="Path to JSON file containing PC samples.",
)
@pytest.fixture
def input_samples_csv(request):
filename = request.config.getoption("--input-samples-csv")
if not os.path.isfile(filename):
# The CSV file is not generated, because the dependency test
# responsible to generate this file was skipped or failed.
# Thus emit the message to skip this test as well.
print("PC sampling unavailable")
else:
with open(filename, "r") as inp:
return pd.read_csv(
inp,
na_filter=False, # parse empty fields as ""
keep_default_na=False, # parse empty fields as ""
dtype={
"Exec_Mask": "uint64",
"Instruction": str,
"Instruction_Comment": str,
"Wave_Issued_Instruction": bool,
"Instruction_Type": str,
"Stall_Reason": str,
},
)
@pytest.fixture
def input_kernel_trace_csv(request):
filename = request.config.getoption("--input-kernel-trace-csv")
with open(filename, "r") as inp:
return pd.read_csv(inp)
@pytest.fixture
def input_agent_info_csv(request):
filename = request.config.getoption("--input-agent-info-csv")
with open(filename, "r") as inp:
return pd.read_csv(inp)
@pytest.fixture
def input_samples_json(request):
filename = request.config.getoption("--input-samples-json")
with open(filename, "r") as inp:
# Significant overhead of 5-6secs observed when feeding
# data into the dotdict.
# Using plain python dict instead
return collapse_dict_list(json.load(inp))