vedithal-amd
40f79c28b1
* Add cmake function to create standalone binary * Mention licenses used by dependencies in the LICENSE file * Add test cases for standalone binary by adding --call-binary option for pytest * Docker compose file to create standalone binary in standardized RHEL 8 environment * Add README instructions on how to create and test standalone binary * Move docker files from utils to docker folder; Add standalone binary testing instructions * Add CHANGELOG statement * Use different service names in docker compose files * Use volume mounting in docker files
1460 regels
45 KiB
Python
1460 regels
45 KiB
Python
import inspect
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import os
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import re
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import shutil
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import subprocess
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import sys
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from importlib.machinery import SourceFileLoader
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from pathlib import Path
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from unittest.mock import patch
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import pandas as pd
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import pytest
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import test_utils
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from test_utils import binary_handler_profile_rocprof_compute
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# Globals
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SUPPORTED_ARCHS = {
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"gfx906": {"mi50": ["MI50", "MI60"]},
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"gfx908": {"mi100": ["MI100"]},
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"gfx90a": {"mi200": ["MI210", "MI250", "MI250X"]},
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"gfx940": {"mi300": ["MI300A_A0"]},
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"gfx941": {"mi300": ["MI300X_A0"]},
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"gfx942": {"mi300": ["MI300A_A1", "MI300X_A1"]},
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}
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MI300_CHIP_IDS = {
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"29856": "MI300A_A1",
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"29857": "MI300X_A1",
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"29858": "MI308X",
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}
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# --
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# Runtime config options
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# --
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config = {}
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config["kernel_name_1"] = "vecCopy"
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config["app_1"] = ["./tests/vcopy", "-n", "1048576", "-b", "256", "-i", "3"]
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config["cleanup"] = True
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config["COUNTER_LOGGING"] = False
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config["METRIC_COMPARE"] = False
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config["METRIC_LOGGING"] = False
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num_kernels = 3
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num_devices = 1
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DEFAULT_ABS_DIFF = 15
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DEFAULT_REL_DIFF = 50
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MAX_REOCCURING_COUNT = 28
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ALL_CSVS = sorted(
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[
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"SQ_IFETCH_LEVEL.csv",
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"SQ_INST_LEVEL_LDS.csv",
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"SQ_INST_LEVEL_SMEM.csv",
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"SQ_INST_LEVEL_VMEM.csv",
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"SQ_LEVEL_WAVES.csv",
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"pmc_perf.csv",
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"pmc_perf_0.csv",
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"pmc_perf_1.csv",
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"pmc_perf_2.csv",
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"pmc_perf_3.csv",
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"pmc_perf_4.csv",
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"pmc_perf_5.csv",
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"pmc_perf_6.csv",
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"pmc_perf_7.csv",
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"pmc_perf_8.csv",
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"pmc_perf_9.csv",
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"pmc_perf_10.csv",
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"sysinfo.csv",
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"timestamps.csv",
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]
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)
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ALL_CSVS_MI200 = sorted(
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[
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"SQ_IFETCH_LEVEL.csv",
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"SQ_INST_LEVEL_LDS.csv",
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"SQ_INST_LEVEL_SMEM.csv",
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"SQ_INST_LEVEL_VMEM.csv",
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"SQ_LEVEL_WAVES.csv",
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"pmc_perf.csv",
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"pmc_perf_0.csv",
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"pmc_perf_1.csv",
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"pmc_perf_2.csv",
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"pmc_perf_3.csv",
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"pmc_perf_4.csv",
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"pmc_perf_5.csv",
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"pmc_perf_6.csv",
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"pmc_perf_7.csv",
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"pmc_perf_8.csv",
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"pmc_perf_9.csv",
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"sysinfo.csv",
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"timestamps.csv",
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]
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)
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ALL_CSVS_MI300 = sorted(
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[
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"SQ_IFETCH_LEVEL.csv",
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"SQ_INST_LEVEL_LDS.csv",
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"SQ_INST_LEVEL_SMEM.csv",
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"SQ_INST_LEVEL_VMEM.csv",
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"SQ_LEVEL_WAVES.csv",
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"pmc_perf.csv",
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"pmc_perf_0.csv",
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"pmc_perf_1.csv",
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"pmc_perf_2.csv",
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"pmc_perf_3.csv",
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"pmc_perf_4.csv",
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"pmc_perf_5.csv",
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"pmc_perf_6.csv",
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"pmc_perf_7.csv",
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"pmc_perf_8.csv",
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"sysinfo.csv",
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"timestamps.csv",
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]
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)
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ROOF_ONLY_FILES = sorted(
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[
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"empirRoof_gpu-0_fp32_fp64.pdf",
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"empirRoof_gpu-0_int8_fp16.pdf",
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"pmc_perf.csv",
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"pmc_perf_0.csv",
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"pmc_perf_1.csv",
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"pmc_perf_2.csv",
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"roofline.csv",
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"sysinfo.csv",
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"timestamps.csv",
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]
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)
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METRIC_THRESHOLDS = {
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"2.1.12": {"absolute": 0, "relative": 8},
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"3.1.1": {"absolute": 0, "relative": 10},
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"3.1.10": {"absolute": 0, "relative": 10},
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"3.1.11": {"absolute": 0, "relative": 1},
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"3.1.12": {"absolute": 0, "relative": 1},
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"3.1.13": {"absolute": 0, "relative": 1},
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"5.1.0": {"absolute": 0, "relative": 15},
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"5.2.0": {"absolute": 0, "relative": 15},
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"6.1.4": {"absolute": 4, "relative": 0},
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"6.1.5": {"absolute": 0, "relative": 1},
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"6.1.0": {"absolute": 0, "relative": 15},
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"6.1.3": {"absolute": 0, "relative": 11},
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"6.2.12": {"absolute": 0, "relative": 1},
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"6.2.13": {"absolute": 0, "relative": 1},
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"7.1.0": {"absolute": 0, "relative": 1},
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"7.1.1": {"absolute": 0, "relative": 1},
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"7.1.2": {"absolute": 0, "relative": 1},
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"7.1.5": {"absolute": 0, "relative": 1},
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"7.1.6": {"absolute": 0, "relative": 1},
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"7.1.7": {"absolute": 0, "relative": 1},
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"7.2.1": {"absolute": 0, "relative": 10},
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"7.2.3": {"absolute": 0, "relative": 12},
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"7.2.6": {"absolute": 0, "relative": 1},
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"10.1.4": {"absolute": 0, "relative": 1},
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"10.1.5": {"absolute": 0, "relative": 1},
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"10.1.6": {"absolute": 0, "relative": 1},
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"10.1.7": {"absolute": 0, "relative": 1},
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"10.3.4": {"absolute": 0, "relative": 1},
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"10.3.5": {"absolute": 0, "relative": 1},
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"10.3.6": {"absolute": 0, "relative": 1},
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"11.2.1": {"absolute": 0, "relative": 1},
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"11.2.4": {"absolute": 0, "relative": 5},
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"13.2.0": {"absolute": 0, "relative": 1},
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"13.2.2": {"absolute": 0, "relative": 1},
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"14.2.0": {"absolute": 0, "relative": 1},
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"14.2.5": {"absolute": 0, "relative": 1},
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"14.2.7": {"absolute": 0, "relative": 1},
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"14.2.8": {"absolute": 0, "relative": 1},
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"15.1.4": {"absolute": 0, "relative": 1},
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"15.1.5": {"absolute": 0, "relative": 1},
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"15.1.6": {"absolute": 0, "relative": 1},
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"15.1.7": {"absolute": 0, "relative": 1},
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"15.2.4": {"absolute": 0, "relative": 1},
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"15.2.5": {"absolute": 0, "relative": 1},
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"16.1.0": {"absolute": 0, "relative": 1},
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"16.1.3": {"absolute": 0, "relative": 1},
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"16.3.0": {"absolute": 0, "relative": 1},
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"16.3.1": {"absolute": 0, "relative": 1},
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"16.3.2": {"absolute": 0, "relative": 1},
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"16.3.5": {"absolute": 0, "relative": 1},
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"16.3.6": {"absolute": 0, "relative": 1},
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"16.3.7": {"absolute": 0, "relative": 1},
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"16.3.9": {"absolute": 0, "relative": 1},
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"16.3.10": {"absolute": 0, "relative": 1},
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"16.3.11": {"absolute": 0, "relative": 1},
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"16.4.3": {"absolute": 0, "relative": 1},
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"16.4.4": {"absolute": 0, "relative": 1},
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"16.5.0": {"absolute": 0, "relative": 1},
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"17.3.3": {"absolute": 0, "relative": 1},
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"17.3.6": {"absolute": 0, "relative": 1},
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"18.1.0": {"absolute": 0, "relative": 1},
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"18.1.1": {"absolute": 0, "relative": 1},
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"18.1.2": {"absolute": 0, "relative": 1},
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"18.1.3": {"absolute": 0, "relative": 1},
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"18.1.5": {"absolute": 0, "relative": 1},
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"18.1.6": {"absolute": 1, "relative": 0},
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}
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# check for parallel resource allocation
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test_utils.check_resource_allocation()
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def counter_compare(test_name, errors_pd, baseline_df, run_df, threshold=5):
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# iterate data one row at a time
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for idx_1 in run_df.index:
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run_row = run_df.iloc[idx_1]
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baseline_row = baseline_df.iloc[idx_1]
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if not run_row["KernelName"] == baseline_row["KernelName"]:
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print("Kernel/dispatch mismatch")
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assert 0
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kernel_name = run_row["KernelName"]
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gpu_id = run_row["gpu-id"]
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differences = {}
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for pmc_counter in run_row.index:
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if "Ns" in pmc_counter or "id" in pmc_counter or "[" in pmc_counter:
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# print("skipping "+pmc_counter)
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continue
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# assert 0
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if not pmc_counter in list(baseline_df.columns):
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print("error: pmc mismatch! " + pmc_counter + " is not in baseline_df")
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continue
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run_data = run_row[pmc_counter]
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baseline_data = baseline_row[pmc_counter]
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if isinstance(run_data, str) and isinstance(baseline_data, str):
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if run_data not in baseline_data:
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print(baseline_data)
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else:
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# relative difference
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if not run_data == 0:
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diff = round(100 * abs(baseline_data - run_data) / run_data, 2)
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if diff > threshold:
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print("[" + pmc_counter + "] diff is :" + str(diff) + "%")
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if pmc_counter not in differences.keys():
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print(
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"[" + pmc_counter + "] not found in ",
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list(differences.keys()),
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)
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differences[pmc_counter] = [diff]
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else:
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# Why are we here?
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print(
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"Why did we get here?!?!? errors_pd[idx_1]:",
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list(differences.keys()),
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)
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differences[pmc_counter].append(diff)
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else:
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# if 0 show absolute difference
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diff = round(baseline_data - run_data, 2)
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if diff > threshold:
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print(str(idx_1) + "[" + pmc_counter + "] diff is :" + str(diff))
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differences["kernel_name"] = [kernel_name]
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differences["test_name"] = [test_name]
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differences["gpu-id"] = [gpu_id]
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errors_pd = pd.concat([errors_pd, pd.DataFrame.from_dict(differences)])
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return errors_pd
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def run(cmd):
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p = subprocess.run(cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
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if cmd[0] == "rocm-smi" and p.returncode == 8:
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print("ERROR: No GPU detected. Unable to load rocm-smi")
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assert 0
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return p.stdout.decode("ascii")
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def gpu_soc():
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global num_devices
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## 1) Parse arch details from rocminfo
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rocminfo = str(
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# decode with utf-8 to account for rocm-smi changes in latest rocm
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subprocess.run(
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["rocminfo"], stdout=subprocess.PIPE, stderr=subprocess.PIPE
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).stdout.decode("utf-8")
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)
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rocminfo = rocminfo.split("\n")
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soc_regex = re.compile(r"^\s*Name\s*:\s+ ([a-zA-Z0-9]+)\s*$", re.MULTILINE)
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devices = list(filter(soc_regex.match, rocminfo))
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gpu_arch = devices[0].split()[1]
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if not gpu_arch in SUPPORTED_ARCHS.keys():
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print("Cannot find a supported arch in rocminfo")
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assert 0
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else:
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num_devices = (
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len(devices)
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if not "CI_VISIBLE_DEVICES" in os.environ
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else os.environ["CI_VISIBLE_DEVICES"]
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)
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## 2) Parse chip id from rocminfo
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chip_id = re.compile(r"^\s*Chip ID:\s+ ([a-zA-Z0-9]+)\s*", re.MULTILINE)
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ids = list(filter(chip_id.match, rocminfo))
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for id in ids:
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chip_id = re.match(r"^[^()]+", id.split()[2]).group(0)
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## 3) Deduce gpu model name from arch
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gpu_model = list(SUPPORTED_ARCHS[gpu_arch].keys())[0].upper()
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if gpu_model == "MI300":
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if chip_id in MI300_CHIP_IDS:
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gpu_model = MI300_CHIP_IDS[chip_id]
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return gpu_model
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soc = gpu_soc()
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# Set rocprofv2 as profiler if MI300
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if "MI300" in soc:
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os.environ["ROCPROF"] = "rocprofv2"
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Baseline_dir = str(Path("tests/workloads/vcopy/" + soc).resolve())
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def log_counter(file_dict, test_name):
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for file in file_dict.keys():
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if file == "pmc_perf.csv" or "SQ" in file:
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# read file in Baseline
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df_1 = pd.read_csv(Baseline_dir + "/" + file, index_col=0)
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# get corresponding file from current test run
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df_2 = file_dict[file]
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errors = counter_compare(test_name, pd.DataFrame(), df_1, df_2, 5)
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if not errors.empty:
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if Path(
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Baseline_dir + "/" + file.split(".")[0] + "_error_log.csv"
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).exists():
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error_log = pd.read_csv(
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Baseline_dir + "/" + file.split(".")[0] + "_error_log.csv",
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index_col=0,
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)
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new_error_log = pd.concat([error_log, errors])
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new_error_log = new_error_log.reindex(
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sorted(new_error_log.columns), axis=1
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)
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new_error_log = new_error_log.sort_values(
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by=["test_name", "kernel_name", "gpu-id"]
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)
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new_error_log.to_csv(
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Baseline_dir + "/" + file.split(".")[0] + "_error_log.csv"
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)
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else:
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errors.to_csv(
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Baseline_dir + "/" + file.split(".")[0] + "_error_log.csv"
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)
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def baseline_compare_metric(test_name, workload_dir, args=[]):
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t = subprocess.Popen(
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[
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sys.executable,
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"src/rocprof_compute",
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"analyze",
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"--path",
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Baseline_dir,
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]
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+ args
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+ ["--path", workload_dir, "--report-diff", "-1"],
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stdout=subprocess.PIPE,
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)
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captured_output = t.communicate(timeout=1300)[0].decode("utf-8")
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print(captured_output)
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assert t.returncode == 0
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if "DEBUG ERROR" in captured_output:
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error_df = pd.DataFrame()
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if Path(Baseline_dir + "/metric_error_log.csv").exists():
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error_df = pd.read_csv(
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Baseline_dir + "/metric_error_log.csv",
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index_col=0,
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)
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output_metric_errors = re.findall(r"(\')([0-9.]*)(\')", captured_output)
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high_diff_metrics = [x[1] for x in output_metric_errors]
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for metric in high_diff_metrics:
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metric_info = re.findall(
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r"(^"
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+ metric
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+ r")(?: *)([()0-9A-Za-z- ]+ )(?: *)([0-9.-]*)(?: *)([0-9.-]*)(?: *)\(([-0-9.]*)%\)(?: *)([-0-9.e]*)",
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captured_output,
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flags=re.MULTILINE,
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)
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if len(metric_info):
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metric_info = metric_info[0]
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metric_idx = metric_info[0]
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metric_name = metric_info[1].strip()
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baseline_val = metric_info[-3]
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current_val = metric_info[-4]
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relative_diff = float(metric_info[-2])
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absolute_diff = float(metric_info[-1])
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if relative_diff > -99:
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if metric_idx in METRIC_THRESHOLDS.keys():
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# print(metric_idx+" is in FIXED_METRICS")
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threshold_type = (
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"absolute"
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if METRIC_THRESHOLDS[metric_idx]["absolute"]
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> METRIC_THRESHOLDS[metric_idx]["relative"]
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else "relative"
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)
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isValid = (
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(
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abs(absolute_diff)
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<= METRIC_THRESHOLDS[metric_idx]["absolute"]
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)
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if (threshold_type == "absolute")
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else (
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abs(relative_diff)
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<= METRIC_THRESHOLDS[metric_idx]["relative"]
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)
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)
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if not isValid:
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print(
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"index "
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+ metric_idx
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+ " "
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+ threshold_type
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+ " difference is supposed to be "
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+ str(METRIC_THRESHOLDS[metric_idx][threshold_type])
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+ ", absolute diff:",
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absolute_diff,
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"relative diff: ",
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relative_diff,
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)
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assert 0
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continue
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|
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# Used for debugging metric lists
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if config["METRIC_LOGGING"] and (
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(
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abs(relative_diff) <= abs(DEFAULT_REL_DIFF)
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or (abs(absolute_diff) <= abs(DEFAULT_ABS_DIFF))
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)
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and (False if baseline_val == "" else float(baseline_val) > 0)
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):
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# print("logging...")
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# print(metric_info)
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new_error = pd.DataFrame.from_dict(
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{
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"Index": [metric_idx],
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"Metric": [metric_name],
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"Percent Difference": [relative_diff],
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"Absolute Difference": [absolute_diff],
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"Baseline": [baseline_val],
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"Current": [current_val],
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"Test Name": [test_name],
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}
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)
|
|
error_df = pd.concat([error_df, new_error])
|
|
counts = error_df.groupby(["Index"]).cumcount()
|
|
reoccurring_metrics = error_df.loc[counts > MAX_REOCCURING_COUNT]
|
|
reoccurring_metrics["counts"] = counts[
|
|
counts > MAX_REOCCURING_COUNT
|
|
]
|
|
if reoccurring_metrics.any(axis=None):
|
|
with pd.option_context(
|
|
"display.max_rows",
|
|
None,
|
|
"display.max_columns",
|
|
None,
|
|
# 'display.precision', 3,
|
|
):
|
|
print(
|
|
"These metrics appear alot\n",
|
|
reoccurring_metrics,
|
|
)
|
|
# print(list(reoccurring_metrics["Index"]))
|
|
|
|
# log into csv
|
|
if not error_df.empty:
|
|
error_df.to_csv(Baseline_dir + "/metric_error_log.csv")
|
|
|
|
|
|
def validate(test_name, workload_dir, file_dict, args=[]):
|
|
if config["COUNTER_LOGGING"]:
|
|
log_counter(file_dict, test_name)
|
|
|
|
if config["METRIC_COMPARE"]:
|
|
baseline_compare_metric(test_name, workload_dir, args)
|
|
|
|
|
|
# --
|
|
# Start of profiling tests
|
|
# --
|
|
|
|
|
|
@pytest.mark.misc
|
|
def test_path(binary_handler_profile_rocprof_compute):
|
|
workload_dir = test_utils.get_output_dir()
|
|
binary_handler_profile_rocprof_compute(config, workload_dir)
|
|
|
|
file_dict = test_utils.check_csv_files(workload_dir, num_devices, num_kernels)
|
|
|
|
if soc == "MI100":
|
|
assert sorted(list(file_dict.keys())) == ALL_CSVS
|
|
elif soc == "MI200":
|
|
assert sorted(list(file_dict.keys())) == sorted(ALL_CSVS_MI200)
|
|
elif "MI300" in soc:
|
|
assert sorted(list(file_dict.keys())) == sorted(ALL_CSVS_MI300)
|
|
else:
|
|
print("This test is not supported for {}".format(soc))
|
|
assert 0
|
|
|
|
validate(inspect.stack()[0][3], workload_dir, file_dict)
|
|
|
|
test_utils.clean_output_dir(config["cleanup"], workload_dir)
|
|
|
|
|
|
@pytest.mark.misc
|
|
def test_kernel_names(binary_handler_profile_rocprof_compute):
|
|
options = ["--device", "0", "--roof-only", "--kernel-names"]
|
|
workload_dir = test_utils.get_output_dir()
|
|
returncode = binary_handler_profile_rocprof_compute(
|
|
config, workload_dir, options, check_success=False, roof=True
|
|
)
|
|
|
|
if soc == "MI100":
|
|
# assert that it did not run
|
|
assert returncode >= 1
|
|
# Do not continue testing
|
|
return
|
|
# assert successful run
|
|
assert returncode == 0
|
|
|
|
file_dict = test_utils.check_csv_files(workload_dir, 1, num_kernels)
|
|
if soc == "MI200" or "MI300" in soc:
|
|
assert sorted(list(file_dict.keys())) == sorted(
|
|
ROOF_ONLY_FILES + ["kernelName_legend.pdf"]
|
|
)
|
|
else:
|
|
assert sorted(list(file_dict.keys())) == ALL_CSVS
|
|
|
|
validate(
|
|
inspect.stack()[0][3],
|
|
workload_dir,
|
|
file_dict,
|
|
)
|
|
|
|
test_utils.clean_output_dir(config["cleanup"], workload_dir)
|
|
|
|
|
|
@pytest.mark.misc
|
|
def test_device_filter(binary_handler_profile_rocprof_compute):
|
|
options = ["--device", "0"]
|
|
workload_dir = test_utils.get_output_dir()
|
|
binary_handler_profile_rocprof_compute(config, workload_dir, options)
|
|
|
|
file_dict = test_utils.check_csv_files(workload_dir, 1, num_kernels)
|
|
if soc == "MI100":
|
|
assert sorted(list(file_dict.keys())) == ALL_CSVS
|
|
elif soc == "MI200":
|
|
assert sorted(list(file_dict.keys())) == sorted(ALL_CSVS_MI200)
|
|
elif "MI300" in soc:
|
|
assert sorted(list(file_dict.keys())) == sorted(ALL_CSVS_MI300)
|
|
else:
|
|
print("Testing isn't supported yet for {}".format(soc))
|
|
assert 0
|
|
|
|
# TODO - verify expected device id in results
|
|
|
|
validate(
|
|
inspect.stack()[0][3],
|
|
workload_dir,
|
|
file_dict,
|
|
)
|
|
|
|
test_utils.clean_output_dir(config["cleanup"], workload_dir)
|
|
|
|
|
|
@pytest.mark.kernel_execution
|
|
def test_kernel(binary_handler_profile_rocprof_compute):
|
|
options = ["--kernel", config["kernel_name_1"]]
|
|
workload_dir = test_utils.get_output_dir()
|
|
binary_handler_profile_rocprof_compute(config, workload_dir, options)
|
|
|
|
file_dict = test_utils.check_csv_files(workload_dir, num_devices, num_kernels)
|
|
if soc == "MI100":
|
|
assert sorted(list(file_dict.keys())) == ALL_CSVS
|
|
elif soc == "MI200":
|
|
assert sorted(list(file_dict.keys())) == sorted(ALL_CSVS_MI200)
|
|
elif "MI300" in soc:
|
|
assert sorted(list(file_dict.keys())) == sorted(ALL_CSVS_MI300)
|
|
else:
|
|
print("Testing isn't supported yet for {}".format(soc))
|
|
assert 0
|
|
|
|
validate(
|
|
inspect.stack()[0][3],
|
|
workload_dir,
|
|
file_dict,
|
|
)
|
|
|
|
test_utils.clean_output_dir(config["cleanup"], workload_dir)
|
|
|
|
|
|
@pytest.mark.block
|
|
def test_block_SQ(binary_handler_profile_rocprof_compute):
|
|
options = ["--block", "SQ"]
|
|
workload_dir = test_utils.get_output_dir()
|
|
binary_handler_profile_rocprof_compute(config, workload_dir, options)
|
|
|
|
file_dict = test_utils.check_csv_files(workload_dir, num_devices, num_kernels)
|
|
expected_csvs = [
|
|
"SQ_IFETCH_LEVEL.csv",
|
|
"SQ_INST_LEVEL_LDS.csv",
|
|
"SQ_INST_LEVEL_SMEM.csv",
|
|
"SQ_INST_LEVEL_VMEM.csv",
|
|
"SQ_LEVEL_WAVES.csv",
|
|
"pmc_perf.csv",
|
|
"pmc_perf_0.csv",
|
|
"pmc_perf_1.csv",
|
|
"pmc_perf_2.csv",
|
|
"pmc_perf_3.csv",
|
|
"pmc_perf_4.csv",
|
|
"pmc_perf_5.csv",
|
|
"sysinfo.csv",
|
|
"timestamps.csv",
|
|
]
|
|
if soc == "MI200" or "MI300" in soc:
|
|
expected_csvs = [
|
|
"SQ_IFETCH_LEVEL.csv",
|
|
"SQ_INST_LEVEL_LDS.csv",
|
|
"SQ_INST_LEVEL_SMEM.csv",
|
|
"SQ_INST_LEVEL_VMEM.csv",
|
|
"SQ_LEVEL_WAVES.csv",
|
|
"pmc_perf.csv",
|
|
"pmc_perf_0.csv",
|
|
"pmc_perf_1.csv",
|
|
"pmc_perf_2.csv",
|
|
"pmc_perf_3.csv",
|
|
"pmc_perf_4.csv",
|
|
"pmc_perf_5.csv",
|
|
"pmc_perf_6.csv",
|
|
"pmc_perf_7.csv",
|
|
"pmc_perf_8.csv",
|
|
"sysinfo.csv",
|
|
"timestamps.csv",
|
|
]
|
|
|
|
assert sorted(list(file_dict.keys())) == sorted(expected_csvs)
|
|
|
|
validate(
|
|
inspect.stack()[0][3],
|
|
workload_dir,
|
|
file_dict,
|
|
)
|
|
|
|
test_utils.clean_output_dir(config["cleanup"], workload_dir)
|
|
|
|
|
|
@pytest.mark.block
|
|
def test_block_SQC(binary_handler_profile_rocprof_compute):
|
|
options = ["--block", "SQC"]
|
|
workload_dir = test_utils.get_output_dir()
|
|
binary_handler_profile_rocprof_compute(config, workload_dir, options)
|
|
|
|
file_dict = test_utils.check_csv_files(workload_dir, num_devices, num_kernels)
|
|
expected_csvs = [
|
|
"pmc_perf.csv",
|
|
"pmc_perf_0.csv",
|
|
"pmc_perf_1.csv",
|
|
"pmc_perf_2.csv",
|
|
"pmc_perf_3.csv",
|
|
"sysinfo.csv",
|
|
"timestamps.csv",
|
|
]
|
|
|
|
assert sorted(list(file_dict.keys())) == sorted(expected_csvs)
|
|
|
|
validate(
|
|
inspect.stack()[0][3],
|
|
workload_dir,
|
|
file_dict,
|
|
)
|
|
|
|
test_utils.clean_output_dir(config["cleanup"], workload_dir)
|
|
|
|
|
|
@pytest.mark.block
|
|
def test_block_TA(binary_handler_profile_rocprof_compute):
|
|
options = ["--block", "TA"]
|
|
workload_dir = test_utils.get_output_dir()
|
|
binary_handler_profile_rocprof_compute(config, workload_dir, options)
|
|
|
|
file_dict = test_utils.check_csv_files(workload_dir, num_devices, num_kernels)
|
|
expected_csvs = [
|
|
"pmc_perf.csv",
|
|
"pmc_perf_0.csv",
|
|
"pmc_perf_1.csv",
|
|
"pmc_perf_2.csv",
|
|
"pmc_perf_3.csv",
|
|
"pmc_perf_4.csv",
|
|
"pmc_perf_5.csv",
|
|
"pmc_perf_6.csv",
|
|
"pmc_perf_7.csv",
|
|
"sysinfo.csv",
|
|
"timestamps.csv",
|
|
]
|
|
|
|
assert sorted(list(file_dict.keys())) == sorted(expected_csvs)
|
|
|
|
validate(
|
|
inspect.stack()[0][3],
|
|
workload_dir,
|
|
file_dict,
|
|
)
|
|
|
|
test_utils.clean_output_dir(config["cleanup"], workload_dir)
|
|
|
|
|
|
@pytest.mark.block
|
|
def test_block_TD(binary_handler_profile_rocprof_compute):
|
|
options = ["--block", "TD"]
|
|
workload_dir = test_utils.get_output_dir()
|
|
binary_handler_profile_rocprof_compute(config, workload_dir, options)
|
|
|
|
file_dict = test_utils.check_csv_files(workload_dir, num_devices, num_kernels)
|
|
expected_csvs = [
|
|
"pmc_perf.csv",
|
|
"pmc_perf_0.csv",
|
|
"pmc_perf_1.csv",
|
|
"pmc_perf_2.csv",
|
|
"sysinfo.csv",
|
|
"timestamps.csv",
|
|
]
|
|
if soc == "MI200" or "MI300" in soc:
|
|
expected_csvs = [
|
|
"pmc_perf.csv",
|
|
"pmc_perf_0.csv",
|
|
"pmc_perf_1.csv",
|
|
"pmc_perf_2.csv",
|
|
"pmc_perf_3.csv",
|
|
"sysinfo.csv",
|
|
"timestamps.csv",
|
|
]
|
|
|
|
assert sorted(list(file_dict.keys())) == sorted(expected_csvs)
|
|
|
|
validate(
|
|
inspect.stack()[0][3],
|
|
workload_dir,
|
|
file_dict,
|
|
)
|
|
|
|
test_utils.clean_output_dir(config["cleanup"], workload_dir)
|
|
|
|
|
|
@pytest.mark.block
|
|
def test_block_TCP(binary_handler_profile_rocprof_compute):
|
|
options = ["--block", "TCP"]
|
|
workload_dir = test_utils.get_output_dir()
|
|
binary_handler_profile_rocprof_compute(config, workload_dir, options)
|
|
|
|
file_dict = test_utils.check_csv_files(workload_dir, num_devices, num_kernels)
|
|
expected_csvs = [
|
|
"pmc_perf.csv",
|
|
"pmc_perf_0.csv",
|
|
"pmc_perf_1.csv",
|
|
"pmc_perf_2.csv",
|
|
"pmc_perf_3.csv",
|
|
"pmc_perf_4.csv",
|
|
"pmc_perf_5.csv",
|
|
"pmc_perf_6.csv",
|
|
"pmc_perf_7.csv",
|
|
"pmc_perf_8.csv",
|
|
"pmc_perf_9.csv",
|
|
"sysinfo.csv",
|
|
"timestamps.csv",
|
|
]
|
|
|
|
assert sorted(list(file_dict.keys())) == sorted(expected_csvs)
|
|
|
|
validate(
|
|
inspect.stack()[0][3],
|
|
workload_dir,
|
|
file_dict,
|
|
)
|
|
|
|
test_utils.clean_output_dir(config["cleanup"], workload_dir)
|
|
|
|
|
|
@pytest.mark.block
|
|
def test_block_TCC(binary_handler_profile_rocprof_compute):
|
|
options = ["--block", "TCC"]
|
|
workload_dir = test_utils.get_output_dir()
|
|
binary_handler_profile_rocprof_compute(config, workload_dir, options)
|
|
|
|
file_dict = test_utils.check_csv_files(workload_dir, num_devices, num_kernels)
|
|
expected_csvs = [
|
|
"pmc_perf.csv",
|
|
"pmc_perf_0.csv",
|
|
"pmc_perf_1.csv",
|
|
"pmc_perf_2.csv",
|
|
"pmc_perf_3.csv",
|
|
"pmc_perf_4.csv",
|
|
"pmc_perf_5.csv",
|
|
"pmc_perf_6.csv",
|
|
"pmc_perf_7.csv",
|
|
"pmc_perf_8.csv",
|
|
"pmc_perf_9.csv",
|
|
"pmc_perf_10.csv",
|
|
"sysinfo.csv",
|
|
"timestamps.csv",
|
|
]
|
|
if soc == "MI200" or "MI300" in soc:
|
|
expected_csvs = [
|
|
"pmc_perf.csv",
|
|
"pmc_perf_0.csv",
|
|
"pmc_perf_1.csv",
|
|
"pmc_perf_2.csv",
|
|
"pmc_perf_3.csv",
|
|
"pmc_perf_4.csv",
|
|
"pmc_perf_5.csv",
|
|
"pmc_perf_6.csv",
|
|
"pmc_perf_7.csv",
|
|
"pmc_perf_8.csv",
|
|
"sysinfo.csv",
|
|
"timestamps.csv",
|
|
]
|
|
|
|
assert sorted(list(file_dict.keys())) == sorted(expected_csvs)
|
|
|
|
validate(
|
|
inspect.stack()[0][3],
|
|
workload_dir,
|
|
file_dict,
|
|
)
|
|
|
|
test_utils.clean_output_dir(config["cleanup"], workload_dir)
|
|
|
|
|
|
@pytest.mark.block
|
|
def test_block_SPI(binary_handler_profile_rocprof_compute):
|
|
options = ["--block", "SPI"]
|
|
workload_dir = test_utils.get_output_dir()
|
|
binary_handler_profile_rocprof_compute(config, workload_dir, options)
|
|
|
|
file_dict = test_utils.check_csv_files(workload_dir, num_devices, num_kernels)
|
|
expected_csvs = [
|
|
"pmc_perf.csv",
|
|
"pmc_perf_0.csv",
|
|
"pmc_perf_1.csv",
|
|
"pmc_perf_2.csv",
|
|
"pmc_perf_3.csv",
|
|
"pmc_perf_4.csv",
|
|
"pmc_perf_5.csv",
|
|
"pmc_perf_6.csv",
|
|
"pmc_perf_7.csv",
|
|
"pmc_perf_8.csv",
|
|
"sysinfo.csv",
|
|
"timestamps.csv",
|
|
]
|
|
|
|
assert sorted(list(file_dict.keys())) == sorted(expected_csvs)
|
|
|
|
validate(
|
|
inspect.stack()[0][3],
|
|
workload_dir,
|
|
file_dict,
|
|
)
|
|
|
|
test_utils.clean_output_dir(config["cleanup"], workload_dir)
|
|
|
|
|
|
@pytest.mark.block
|
|
def test_block_CPC(binary_handler_profile_rocprof_compute):
|
|
options = ["--block", "CPC"]
|
|
workload_dir = test_utils.get_output_dir()
|
|
binary_handler_profile_rocprof_compute(config, workload_dir, options)
|
|
|
|
file_dict = test_utils.check_csv_files(workload_dir, num_devices, num_kernels)
|
|
expected_csvs = [
|
|
"pmc_perf.csv",
|
|
"pmc_perf_0.csv",
|
|
"pmc_perf_1.csv",
|
|
"pmc_perf_2.csv",
|
|
"pmc_perf_3.csv",
|
|
"pmc_perf_4.csv",
|
|
"pmc_perf_5.csv",
|
|
"sysinfo.csv",
|
|
"timestamps.csv",
|
|
]
|
|
|
|
assert sorted(list(file_dict.keys())) == sorted(expected_csvs)
|
|
|
|
validate(inspect.stack()[0][3], workload_dir, file_dict)
|
|
|
|
test_utils.clean_output_dir(config["cleanup"], workload_dir)
|
|
|
|
|
|
@pytest.mark.block
|
|
def test_block_CPF(binary_handler_profile_rocprof_compute):
|
|
options = ["--block", "CPF"]
|
|
workload_dir = test_utils.get_output_dir()
|
|
binary_handler_profile_rocprof_compute(config, workload_dir, options)
|
|
|
|
file_dict = test_utils.check_csv_files(workload_dir, num_devices, num_kernels)
|
|
expected_csvs = [
|
|
"pmc_perf.csv",
|
|
"pmc_perf_0.csv",
|
|
"pmc_perf_1.csv",
|
|
"pmc_perf_2.csv",
|
|
"pmc_perf_3.csv",
|
|
"sysinfo.csv",
|
|
"timestamps.csv",
|
|
]
|
|
assert sorted(list(file_dict.keys())) == sorted(expected_csvs)
|
|
|
|
validate(
|
|
inspect.stack()[0][3],
|
|
workload_dir,
|
|
file_dict,
|
|
)
|
|
|
|
test_utils.clean_output_dir(config["cleanup"], workload_dir)
|
|
|
|
|
|
@pytest.mark.block
|
|
def test_block_SQ_CPC(binary_handler_profile_rocprof_compute):
|
|
options = ["--block", "SQ", "CPC"]
|
|
workload_dir = test_utils.get_output_dir()
|
|
binary_handler_profile_rocprof_compute(config, workload_dir, options)
|
|
|
|
file_dict = test_utils.check_csv_files(workload_dir, num_devices, num_kernels)
|
|
expected_csvs = [
|
|
"SQ_IFETCH_LEVEL.csv",
|
|
"SQ_INST_LEVEL_LDS.csv",
|
|
"SQ_INST_LEVEL_SMEM.csv",
|
|
"SQ_INST_LEVEL_VMEM.csv",
|
|
"SQ_LEVEL_WAVES.csv",
|
|
"pmc_perf.csv",
|
|
"pmc_perf_0.csv",
|
|
"pmc_perf_1.csv",
|
|
"pmc_perf_2.csv",
|
|
"pmc_perf_3.csv",
|
|
"pmc_perf_4.csv",
|
|
"pmc_perf_5.csv",
|
|
"sysinfo.csv",
|
|
"timestamps.csv",
|
|
]
|
|
if soc == "MI200" or "MI300" in soc:
|
|
expected_csvs = [
|
|
"SQ_IFETCH_LEVEL.csv",
|
|
"SQ_INST_LEVEL_LDS.csv",
|
|
"SQ_INST_LEVEL_SMEM.csv",
|
|
"SQ_INST_LEVEL_VMEM.csv",
|
|
"SQ_LEVEL_WAVES.csv",
|
|
"pmc_perf.csv",
|
|
"pmc_perf_0.csv",
|
|
"pmc_perf_1.csv",
|
|
"pmc_perf_2.csv",
|
|
"pmc_perf_3.csv",
|
|
"pmc_perf_4.csv",
|
|
"pmc_perf_5.csv",
|
|
"pmc_perf_6.csv",
|
|
"pmc_perf_7.csv",
|
|
"pmc_perf_8.csv",
|
|
"sysinfo.csv",
|
|
"timestamps.csv",
|
|
]
|
|
|
|
assert sorted(list(file_dict.keys())) == sorted(expected_csvs)
|
|
|
|
validate(
|
|
inspect.stack()[0][3],
|
|
workload_dir,
|
|
file_dict,
|
|
)
|
|
|
|
test_utils.clean_output_dir(config["cleanup"], workload_dir)
|
|
|
|
|
|
@pytest.mark.block
|
|
def test_block_SQ_TA(binary_handler_profile_rocprof_compute):
|
|
options = ["--block", "SQ", "TA"]
|
|
workload_dir = test_utils.get_output_dir()
|
|
binary_handler_profile_rocprof_compute(config, workload_dir, options)
|
|
|
|
file_dict = test_utils.check_csv_files(workload_dir, num_devices, num_kernels)
|
|
expected_csvs = [
|
|
"SQ_IFETCH_LEVEL.csv",
|
|
"SQ_INST_LEVEL_LDS.csv",
|
|
"SQ_INST_LEVEL_SMEM.csv",
|
|
"SQ_INST_LEVEL_VMEM.csv",
|
|
"SQ_LEVEL_WAVES.csv",
|
|
"pmc_perf.csv",
|
|
"pmc_perf_0.csv",
|
|
"pmc_perf_1.csv",
|
|
"pmc_perf_2.csv",
|
|
"pmc_perf_3.csv",
|
|
"pmc_perf_4.csv",
|
|
"pmc_perf_5.csv",
|
|
"sysinfo.csv",
|
|
"timestamps.csv",
|
|
]
|
|
if soc == "MI200" or "MI300" in soc:
|
|
expected_csvs = [
|
|
"SQ_IFETCH_LEVEL.csv",
|
|
"SQ_INST_LEVEL_LDS.csv",
|
|
"SQ_INST_LEVEL_SMEM.csv",
|
|
"SQ_INST_LEVEL_VMEM.csv",
|
|
"SQ_LEVEL_WAVES.csv",
|
|
"pmc_perf.csv",
|
|
"pmc_perf_0.csv",
|
|
"pmc_perf_1.csv",
|
|
"pmc_perf_2.csv",
|
|
"pmc_perf_3.csv",
|
|
"pmc_perf_4.csv",
|
|
"pmc_perf_5.csv",
|
|
"pmc_perf_6.csv",
|
|
"pmc_perf_7.csv",
|
|
"pmc_perf_8.csv",
|
|
"sysinfo.csv",
|
|
"timestamps.csv",
|
|
]
|
|
|
|
assert sorted(list(file_dict.keys())) == sorted(expected_csvs)
|
|
|
|
validate(inspect.stack()[0][3], workload_dir, file_dict)
|
|
|
|
test_utils.clean_output_dir(config["cleanup"], workload_dir)
|
|
|
|
|
|
@pytest.mark.block
|
|
def test_block_SQ_SPI(binary_handler_profile_rocprof_compute):
|
|
options = ["--block", "SQ", "SPI"]
|
|
workload_dir = test_utils.get_output_dir()
|
|
binary_handler_profile_rocprof_compute(config, workload_dir, options)
|
|
|
|
file_dict = test_utils.check_csv_files(workload_dir, num_devices, num_kernels)
|
|
expected_csvs = [
|
|
"SQ_IFETCH_LEVEL.csv",
|
|
"SQ_INST_LEVEL_LDS.csv",
|
|
"SQ_INST_LEVEL_SMEM.csv",
|
|
"SQ_INST_LEVEL_VMEM.csv",
|
|
"SQ_LEVEL_WAVES.csv",
|
|
"pmc_perf.csv",
|
|
"pmc_perf_0.csv",
|
|
"pmc_perf_1.csv",
|
|
"pmc_perf_2.csv",
|
|
"pmc_perf_3.csv",
|
|
"pmc_perf_4.csv",
|
|
"pmc_perf_5.csv",
|
|
"sysinfo.csv",
|
|
"timestamps.csv",
|
|
]
|
|
if soc == "MI200" or "MI300" in soc:
|
|
expected_csvs = [
|
|
"SQ_IFETCH_LEVEL.csv",
|
|
"SQ_INST_LEVEL_LDS.csv",
|
|
"SQ_INST_LEVEL_SMEM.csv",
|
|
"SQ_INST_LEVEL_VMEM.csv",
|
|
"SQ_LEVEL_WAVES.csv",
|
|
"pmc_perf.csv",
|
|
"pmc_perf_0.csv",
|
|
"pmc_perf_1.csv",
|
|
"pmc_perf_2.csv",
|
|
"pmc_perf_3.csv",
|
|
"pmc_perf_4.csv",
|
|
"pmc_perf_5.csv",
|
|
"pmc_perf_6.csv",
|
|
"pmc_perf_7.csv",
|
|
"pmc_perf_8.csv",
|
|
"sysinfo.csv",
|
|
"timestamps.csv",
|
|
]
|
|
|
|
assert sorted(list(file_dict.keys())) == sorted(expected_csvs)
|
|
|
|
validate(
|
|
inspect.stack()[0][3],
|
|
workload_dir,
|
|
file_dict,
|
|
)
|
|
test_utils.clean_output_dir(config["cleanup"], workload_dir)
|
|
|
|
|
|
@pytest.mark.block
|
|
def test_block_SQ_SQC_TCP_CPC(binary_handler_profile_rocprof_compute):
|
|
options = ["--block", "SQ", "SQC", "TCP", "CPC"]
|
|
workload_dir = test_utils.get_output_dir()
|
|
binary_handler_profile_rocprof_compute(config, workload_dir, options)
|
|
|
|
file_dict = test_utils.check_csv_files(workload_dir, num_devices, num_kernels)
|
|
expected_csvs = [
|
|
"SQ_IFETCH_LEVEL.csv",
|
|
"SQ_INST_LEVEL_LDS.csv",
|
|
"SQ_INST_LEVEL_SMEM.csv",
|
|
"SQ_INST_LEVEL_VMEM.csv",
|
|
"SQ_LEVEL_WAVES.csv",
|
|
"pmc_perf.csv",
|
|
"pmc_perf_0.csv",
|
|
"pmc_perf_1.csv",
|
|
"pmc_perf_2.csv",
|
|
"pmc_perf_3.csv",
|
|
"pmc_perf_4.csv",
|
|
"pmc_perf_5.csv",
|
|
"sysinfo.csv",
|
|
"timestamps.csv",
|
|
]
|
|
if soc == "MI200" or "MI300" in soc:
|
|
expected_csvs = [
|
|
"SQ_IFETCH_LEVEL.csv",
|
|
"SQ_INST_LEVEL_LDS.csv",
|
|
"SQ_INST_LEVEL_SMEM.csv",
|
|
"SQ_INST_LEVEL_VMEM.csv",
|
|
"SQ_LEVEL_WAVES.csv",
|
|
"pmc_perf.csv",
|
|
"pmc_perf_0.csv",
|
|
"pmc_perf_1.csv",
|
|
"pmc_perf_2.csv",
|
|
"pmc_perf_3.csv",
|
|
"pmc_perf_4.csv",
|
|
"pmc_perf_5.csv",
|
|
"pmc_perf_6.csv",
|
|
"pmc_perf_7.csv",
|
|
"pmc_perf_8.csv",
|
|
"sysinfo.csv",
|
|
"timestamps.csv",
|
|
]
|
|
|
|
assert sorted(list(file_dict.keys())) == sorted(expected_csvs)
|
|
|
|
validate(inspect.stack()[0][3], workload_dir, file_dict)
|
|
|
|
test_utils.clean_output_dir(config["cleanup"], workload_dir)
|
|
|
|
|
|
@pytest.mark.block
|
|
def test_block_SQ_SPI_TA_TCC_CPF(binary_handler_profile_rocprof_compute):
|
|
options = ["--block", "SQ", "SPI", "TA", "TCC", "CPF"]
|
|
workload_dir = test_utils.get_output_dir()
|
|
binary_handler_profile_rocprof_compute(config, workload_dir, options)
|
|
|
|
file_dict = test_utils.check_csv_files(workload_dir, num_devices, num_kernels)
|
|
expected_csvs = [
|
|
"SQ_IFETCH_LEVEL.csv",
|
|
"SQ_INST_LEVEL_LDS.csv",
|
|
"SQ_INST_LEVEL_SMEM.csv",
|
|
"SQ_INST_LEVEL_VMEM.csv",
|
|
"SQ_LEVEL_WAVES.csv",
|
|
"pmc_perf.csv",
|
|
"pmc_perf_0.csv",
|
|
"pmc_perf_1.csv",
|
|
"pmc_perf_2.csv",
|
|
"pmc_perf_3.csv",
|
|
"pmc_perf_4.csv",
|
|
"pmc_perf_5.csv",
|
|
"sysinfo.csv",
|
|
"timestamps.csv",
|
|
]
|
|
if soc == "MI200" or "MI300" in soc:
|
|
expected_csvs = [
|
|
"SQ_IFETCH_LEVEL.csv",
|
|
"SQ_INST_LEVEL_LDS.csv",
|
|
"SQ_INST_LEVEL_SMEM.csv",
|
|
"SQ_INST_LEVEL_VMEM.csv",
|
|
"SQ_LEVEL_WAVES.csv",
|
|
"pmc_perf.csv",
|
|
"pmc_perf_0.csv",
|
|
"pmc_perf_1.csv",
|
|
"pmc_perf_2.csv",
|
|
"pmc_perf_3.csv",
|
|
"pmc_perf_4.csv",
|
|
"pmc_perf_5.csv",
|
|
"pmc_perf_6.csv",
|
|
"pmc_perf_7.csv",
|
|
"pmc_perf_8.csv",
|
|
"sysinfo.csv",
|
|
"timestamps.csv",
|
|
]
|
|
|
|
assert sorted(list(file_dict.keys())) == sorted(expected_csvs)
|
|
|
|
validate(
|
|
inspect.stack()[0][3],
|
|
workload_dir,
|
|
file_dict,
|
|
)
|
|
|
|
test_utils.clean_output_dir(config["cleanup"], workload_dir)
|
|
|
|
|
|
@pytest.mark.dispatch
|
|
def test_dispatch_0(binary_handler_profile_rocprof_compute):
|
|
options = ["--dispatch", "0"]
|
|
workload_dir = test_utils.get_output_dir()
|
|
binary_handler_profile_rocprof_compute(config, workload_dir, options)
|
|
|
|
file_dict = test_utils.check_csv_files(workload_dir, num_devices, 1)
|
|
if soc == "MI100":
|
|
assert sorted(list(file_dict.keys())) == ALL_CSVS
|
|
elif soc == "MI200":
|
|
assert sorted(list(file_dict.keys())) == ALL_CSVS_MI200
|
|
elif "MI300" in soc:
|
|
assert sorted(list(file_dict.keys())) == ALL_CSVS_MI300
|
|
else:
|
|
print("Testing isn't supported yet for {}".format(soc))
|
|
assert 0
|
|
|
|
validate(
|
|
inspect.stack()[0][3],
|
|
workload_dir,
|
|
file_dict,
|
|
[
|
|
"--dispatch",
|
|
"0",
|
|
],
|
|
)
|
|
|
|
test_utils.clean_output_dir(config["cleanup"], workload_dir)
|
|
|
|
|
|
@pytest.mark.dispatch
|
|
def test_dispatch_0_1(binary_handler_profile_rocprof_compute):
|
|
options = ["--dispatch", "0:2"]
|
|
workload_dir = test_utils.get_output_dir()
|
|
binary_handler_profile_rocprof_compute(config, workload_dir, options)
|
|
|
|
file_dict = test_utils.check_csv_files(workload_dir, num_devices, 2)
|
|
if soc == "MI100":
|
|
assert sorted(list(file_dict.keys())) == ALL_CSVS
|
|
elif soc == "MI200":
|
|
assert sorted(list(file_dict.keys())) == ALL_CSVS_MI200
|
|
elif "MI300" in soc:
|
|
assert sorted(list(file_dict.keys())) == ALL_CSVS_MI300
|
|
else:
|
|
print("Testing isn't supported yet for {}".format(soc))
|
|
assert 0
|
|
|
|
validate(
|
|
inspect.stack()[0][3],
|
|
workload_dir,
|
|
file_dict,
|
|
["--dispatch", "0", "1"],
|
|
)
|
|
|
|
test_utils.clean_output_dir(config["cleanup"], workload_dir)
|
|
|
|
|
|
@pytest.mark.dispatch
|
|
def test_dispatch_2(binary_handler_profile_rocprof_compute):
|
|
options = ["--dispatch", "0"]
|
|
workload_dir = test_utils.get_output_dir()
|
|
binary_handler_profile_rocprof_compute(config, workload_dir, options)
|
|
|
|
file_dict = test_utils.check_csv_files(workload_dir, num_devices, 1)
|
|
if soc == "MI100":
|
|
assert sorted(list(file_dict.keys())) == ALL_CSVS
|
|
elif soc == "MI200":
|
|
assert sorted(list(file_dict.keys())) == ALL_CSVS_MI200
|
|
elif "MI300" in soc:
|
|
assert sorted(list(file_dict.keys())) == ALL_CSVS_MI300
|
|
else:
|
|
print("Testing isn't supported yet for {}".format(soc))
|
|
assert 0
|
|
|
|
validate(
|
|
inspect.stack()[0][3],
|
|
workload_dir,
|
|
file_dict,
|
|
[
|
|
"--dispatch",
|
|
"0",
|
|
],
|
|
)
|
|
|
|
test_utils.clean_output_dir(config["cleanup"], workload_dir)
|
|
|
|
|
|
@pytest.mark.join
|
|
def test_join_type_grid(binary_handler_profile_rocprof_compute):
|
|
options = ["--join-type", "grid"]
|
|
workload_dir = test_utils.get_output_dir()
|
|
binary_handler_profile_rocprof_compute(config, workload_dir, options)
|
|
|
|
file_dict = test_utils.check_csv_files(workload_dir, num_devices, num_kernels)
|
|
if soc == "MI100":
|
|
assert sorted(list(file_dict.keys())) == ALL_CSVS
|
|
elif soc == "MI200":
|
|
assert sorted(list(file_dict.keys())) == ALL_CSVS_MI200
|
|
elif "MI300" in soc:
|
|
assert sorted(list(file_dict.keys())) == ALL_CSVS_MI300
|
|
else:
|
|
print("Testing isn't supported yet for {}".format(soc))
|
|
assert 0
|
|
|
|
validate(
|
|
inspect.stack()[0][3],
|
|
workload_dir,
|
|
file_dict,
|
|
)
|
|
|
|
test_utils.clean_output_dir(config["cleanup"], workload_dir)
|
|
|
|
|
|
@pytest.mark.join
|
|
def test_join_type_kernel(binary_handler_profile_rocprof_compute):
|
|
options = ["--join-type", "kernel"]
|
|
workload_dir = test_utils.get_output_dir()
|
|
binary_handler_profile_rocprof_compute(config, workload_dir, options)
|
|
|
|
file_dict = test_utils.check_csv_files(workload_dir, num_devices, num_kernels)
|
|
|
|
if soc == "MI100":
|
|
assert sorted(list(file_dict.keys())) == ALL_CSVS
|
|
elif soc == "MI200":
|
|
assert sorted(list(file_dict.keys())) == ALL_CSVS_MI200
|
|
elif "MI300" in soc:
|
|
assert sorted(list(file_dict.keys())) == ALL_CSVS_MI300
|
|
else:
|
|
print("Testing isn't supported yet for {}".format(soc))
|
|
assert 0
|
|
|
|
validate(
|
|
inspect.stack()[0][3],
|
|
workload_dir,
|
|
file_dict,
|
|
)
|
|
|
|
test_utils.clean_output_dir(config["cleanup"], workload_dir)
|
|
|
|
|
|
@pytest.mark.sort
|
|
def test_sort_dispatches(binary_handler_profile_rocprof_compute):
|
|
# only test 1 device for roofline
|
|
options = ["--device", "0", "--roof-only", "--sort", "dispatches"]
|
|
workload_dir = test_utils.get_output_dir()
|
|
returncode = binary_handler_profile_rocprof_compute(
|
|
config, workload_dir, options, check_success=False, roof=True
|
|
)
|
|
|
|
if soc == "MI100":
|
|
# assert that it did not run
|
|
assert returncode >= 1
|
|
# Do not continue testing
|
|
return
|
|
|
|
# assert successful run
|
|
assert returncode == 0
|
|
|
|
file_dict = test_utils.check_csv_files(workload_dir, 1, num_kernels)
|
|
|
|
if soc == "MI200" or "MI300" in soc:
|
|
assert sorted(list(file_dict.keys())) == ROOF_ONLY_FILES
|
|
else:
|
|
assert sorted(list(file_dict.keys())) == ALL_CSVS
|
|
|
|
validate(
|
|
inspect.stack()[0][3],
|
|
workload_dir,
|
|
file_dict,
|
|
)
|
|
|
|
test_utils.clean_output_dir(config["cleanup"], workload_dir)
|
|
|
|
|
|
@pytest.mark.sort
|
|
def test_sort_kernels(binary_handler_profile_rocprof_compute):
|
|
# only test 1 device for roofline
|
|
options = ["--device", "0", "--roof-only", "--sort", "kernels"]
|
|
workload_dir = test_utils.get_output_dir()
|
|
returncode = binary_handler_profile_rocprof_compute(
|
|
config, workload_dir, options, check_success=False, roof=True
|
|
)
|
|
|
|
if soc == "MI100":
|
|
# assert that it did not run
|
|
assert returncode >= 1
|
|
# Do not continue testing
|
|
return
|
|
|
|
# assert successful run
|
|
assert returncode == 0
|
|
file_dict = test_utils.check_csv_files(workload_dir, 1, num_kernels)
|
|
|
|
if soc == "MI200" or "MI300" in soc:
|
|
assert sorted(list(file_dict.keys())) == ROOF_ONLY_FILES
|
|
else:
|
|
assert sorted(list(file_dict.keys())) == ALL_CSVS
|
|
|
|
validate(
|
|
inspect.stack()[0][3],
|
|
workload_dir,
|
|
file_dict,
|
|
)
|
|
|
|
test_utils.clean_output_dir(config["cleanup"], workload_dir)
|
|
|
|
|
|
@pytest.mark.mem
|
|
def test_mem_levels_vL1D(binary_handler_profile_rocprof_compute):
|
|
# only test 1 device for roofline
|
|
options = ["--device", "0", "--roof-only", "--mem-level", "vL1D"]
|
|
workload_dir = test_utils.get_output_dir()
|
|
returncode = binary_handler_profile_rocprof_compute(
|
|
config, workload_dir, options, check_success=False, roof=True
|
|
)
|
|
|
|
if soc == "MI100":
|
|
# assert that it did not run
|
|
assert returncode >= 1
|
|
# Do not continue testing
|
|
return
|
|
|
|
# assert successful run
|
|
assert returncode == 0
|
|
file_dict = test_utils.check_csv_files(workload_dir, 1, num_kernels)
|
|
|
|
if soc == "MI200" or "MI300" in soc:
|
|
assert sorted(list(file_dict.keys())) == ROOF_ONLY_FILES
|
|
else:
|
|
assert sorted(list(file_dict.keys())) == ALL_CSVS
|
|
|
|
validate(
|
|
inspect.stack()[0][3],
|
|
workload_dir,
|
|
file_dict,
|
|
)
|
|
|
|
test_utils.clean_output_dir(config["cleanup"], workload_dir)
|
|
|
|
|
|
@pytest.mark.mem
|
|
def test_mem_levels_LDS(binary_handler_profile_rocprof_compute):
|
|
# only test 1 device for roofline
|
|
options = ["--device", "0", "--roof-only", "--mem-level", "LDS"]
|
|
workload_dir = test_utils.get_output_dir()
|
|
returncode = binary_handler_profile_rocprof_compute(
|
|
config, workload_dir, options, check_success=False, roof=True
|
|
)
|
|
|
|
if soc == "MI100":
|
|
# assert that it did not run
|
|
assert returncode >= 1
|
|
# Do not continue testing
|
|
return
|
|
|
|
# assert successful run
|
|
assert returncode == 0
|
|
file_dict = test_utils.check_csv_files(workload_dir, 1, num_kernels)
|
|
|
|
if soc == "MI200" or "MI300" in soc:
|
|
assert sorted(list(file_dict.keys())) == ROOF_ONLY_FILES
|
|
else:
|
|
assert sorted(list(file_dict.keys())) == ALL_CSVS
|
|
|
|
validate(
|
|
inspect.stack()[0][3],
|
|
workload_dir,
|
|
file_dict,
|
|
)
|
|
|
|
test_utils.clean_output_dir(config["cleanup"], workload_dir)
|