rocm-systems/tests/test_profile_general.py

import inspect
import os
import re
import shutil
import subprocess
import sys
from importlib.machinery import SourceFileLoader
from pathlib import Path
from unittest.mock import patch

import pandas as pd
import pytest
import test_utils

# Globals

SUPPORTED_ARCHS = {
    "gfx906": {"mi50": ["MI50", "MI60"]},
    "gfx908": {"mi100": ["MI100"]},
    "gfx90a": {"mi200": ["MI210", "MI250", "MI250X"]},
    "gfx940": {"mi300": ["MI300A_A0"]},
    "gfx941": {"mi300": ["MI300X_A0"]},
    "gfx942": {"mi300": ["MI300A_A1", "MI300X_A1"]},
}

MI300_CHIP_IDS = {
    "29856": "MI300A_A1",
    "29857": "MI300X_A1",
    "29858": "MI308X",
}


# --
# Runtime config options
# --

config = {}
config["kernel_name_1"] = "vecCopy"
config["app_1"] = ["./tests/vcopy", "-n", "1048576", "-b", "256", "-i", "3"]
config["cleanup"] = True
config["COUNTER_LOGGING"] = False
config["METRIC_COMPARE"] = False
config["METRIC_LOGGING"] = False

num_kernels = 3
num_devices = 1

DEFAULT_ABS_DIFF = 15
DEFAULT_REL_DIFF = 50
MAX_REOCCURING_COUNT = 28

ALL_CSVS = sorted(
    [
        "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",
        "pmc_perf_9.csv",
        "pmc_perf_10.csv",
        "sysinfo.csv",
        "timestamps.csv",
    ]
)
ALL_CSVS_MI200 = sorted(
    [
        "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",
        "pmc_perf_9.csv",
        "sysinfo.csv",
        "timestamps.csv",
    ]
)
ALL_CSVS_MI300 = sorted(
    [
        "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",
    ]
)

ROOF_ONLY_FILES = sorted(
    [
        "empirRoof_gpu-0_fp32_fp64.pdf",
        "empirRoof_gpu-0_int8_fp16.pdf",
        "empirRoof_gpu-0_fp8.pdf",
        "pmc_perf.csv",
        "pmc_perf_0.csv",
        "pmc_perf_1.csv",
        "pmc_perf_2.csv",
        "roofline.csv",
        "sysinfo.csv",
        "timestamps.csv",
    ]
)

METRIC_THRESHOLDS = {
    "2.1.12": {"absolute": 0, "relative": 8},
    "3.1.1": {"absolute": 0, "relative": 10},
    "3.1.10": {"absolute": 0, "relative": 10},
    "3.1.11": {"absolute": 0, "relative": 1},
    "3.1.12": {"absolute": 0, "relative": 1},
    "3.1.13": {"absolute": 0, "relative": 1},
    "5.1.0": {"absolute": 0, "relative": 15},
    "5.2.0": {"absolute": 0, "relative": 15},
    "6.1.4": {"absolute": 4, "relative": 0},
    "6.1.5": {"absolute": 0, "relative": 1},
    "6.1.0": {"absolute": 0, "relative": 15},
    "6.1.3": {"absolute": 0, "relative": 11},
    "6.2.12": {"absolute": 0, "relative": 1},
    "6.2.13": {"absolute": 0, "relative": 1},
    "7.1.0": {"absolute": 0, "relative": 1},
    "7.1.1": {"absolute": 0, "relative": 1},
    "7.1.2": {"absolute": 0, "relative": 1},
    "7.1.5": {"absolute": 0, "relative": 1},
    "7.1.6": {"absolute": 0, "relative": 1},
    "7.1.7": {"absolute": 0, "relative": 1},
    "7.2.1": {"absolute": 0, "relative": 10},
    "7.2.3": {"absolute": 0, "relative": 12},
    "7.2.6": {"absolute": 0, "relative": 1},
    "10.1.4": {"absolute": 0, "relative": 1},
    "10.1.5": {"absolute": 0, "relative": 1},
    "10.1.6": {"absolute": 0, "relative": 1},
    "10.1.7": {"absolute": 0, "relative": 1},
    "10.3.4": {"absolute": 0, "relative": 1},
    "10.3.5": {"absolute": 0, "relative": 1},
    "10.3.6": {"absolute": 0, "relative": 1},
    "11.2.1": {"absolute": 0, "relative": 1},
    "11.2.4": {"absolute": 0, "relative": 5},
    "13.2.0": {"absolute": 0, "relative": 1},
    "13.2.2": {"absolute": 0, "relative": 1},
    "14.2.0": {"absolute": 0, "relative": 1},
    "14.2.5": {"absolute": 0, "relative": 1},
    "14.2.7": {"absolute": 0, "relative": 1},
    "14.2.8": {"absolute": 0, "relative": 1},
    "15.1.4": {"absolute": 0, "relative": 1},
    "15.1.5": {"absolute": 0, "relative": 1},
    "15.1.6": {"absolute": 0, "relative": 1},
    "15.1.7": {"absolute": 0, "relative": 1},
    "15.2.4": {"absolute": 0, "relative": 1},
    "15.2.5": {"absolute": 0, "relative": 1},
    "16.1.0": {"absolute": 0, "relative": 1},
    "16.1.3": {"absolute": 0, "relative": 1},
    "16.3.0": {"absolute": 0, "relative": 1},
    "16.3.1": {"absolute": 0, "relative": 1},
    "16.3.2": {"absolute": 0, "relative": 1},
    "16.3.5": {"absolute": 0, "relative": 1},
    "16.3.6": {"absolute": 0, "relative": 1},
    "16.3.7": {"absolute": 0, "relative": 1},
    "16.3.9": {"absolute": 0, "relative": 1},
    "16.3.10": {"absolute": 0, "relative": 1},
    "16.3.11": {"absolute": 0, "relative": 1},
    "16.4.3": {"absolute": 0, "relative": 1},
    "16.4.4": {"absolute": 0, "relative": 1},
    "16.5.0": {"absolute": 0, "relative": 1},
    "17.3.3": {"absolute": 0, "relative": 1},
    "17.3.6": {"absolute": 0, "relative": 1},
    "18.1.0": {"absolute": 0, "relative": 1},
    "18.1.1": {"absolute": 0, "relative": 1},
    "18.1.2": {"absolute": 0, "relative": 1},
    "18.1.3": {"absolute": 0, "relative": 1},
    "18.1.5": {"absolute": 0, "relative": 1},
    "18.1.6": {"absolute": 1, "relative": 0},
}
# check for parallel resource allocation
test_utils.check_resource_allocation()


def counter_compare(test_name, errors_pd, baseline_df, run_df, threshold=5):
    # iterate data one row at a time
    for idx_1 in run_df.index:
        run_row = run_df.iloc[idx_1]
        baseline_row = baseline_df.iloc[idx_1]
        if not run_row["KernelName"] == baseline_row["KernelName"]:
            print("Kernel/dispatch mismatch")
            assert 0
        kernel_name = run_row["KernelName"]
        gpu_id = run_row["gpu-id"]
        differences = {}

        for pmc_counter in run_row.index:
            if "Ns" in pmc_counter or "id" in pmc_counter or "[" in pmc_counter:
                # print("skipping "+pmc_counter)
                continue
                # assert 0

            if not pmc_counter in list(baseline_df.columns):
                print("error: pmc mismatch! " + pmc_counter + " is not in baseline_df")
                continue

            run_data = run_row[pmc_counter]
            baseline_data = baseline_row[pmc_counter]
            if isinstance(run_data, str) and isinstance(baseline_data, str):
                if run_data not in baseline_data:
                    print(baseline_data)
            else:
                # relative difference
                if not run_data == 0:
                    diff = round(100 * abs(baseline_data - run_data) / run_data, 2)
                    if diff > threshold:
                        print("[" + pmc_counter + "] diff is :" + str(diff) + "%")
                        if pmc_counter not in differences.keys():
                            print(
                                "[" + pmc_counter + "] not found in ",
                                list(differences.keys()),
                            )
                            differences[pmc_counter] = [diff]
                        else:
                            # Why are we here?
                            print(
                                "Why did we get here?!?!? errors_pd[idx_1]:",
                                list(differences.keys()),
                            )
                            differences[pmc_counter].append(diff)
                else:
                    # if 0 show absolute difference
                    diff = round(baseline_data - run_data, 2)
                    if diff > threshold:
                        print(str(idx_1) + "[" + pmc_counter + "] diff is :" + str(diff))
        differences["kernel_name"] = [kernel_name]
        differences["test_name"] = [test_name]
        differences["gpu-id"] = [gpu_id]
        errors_pd = pd.concat([errors_pd, pd.DataFrame.from_dict(differences)])
    return errors_pd


def run(cmd):
    p = subprocess.run(cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
    if cmd[0] == "rocm-smi" and p.returncode == 8:
        print("ERROR: No GPU detected. Unable to load rocm-smi")
        assert 0
    return p.stdout.decode("ascii")


def gpu_soc():
    global num_devices
    ## 1) Parse arch details from rocminfo
    rocminfo = str(
        # decode with utf-8 to account for rocm-smi changes in latest rocm
        subprocess.run(
            ["rocminfo"], stdout=subprocess.PIPE, stderr=subprocess.PIPE
        ).stdout.decode("utf-8")
    )
    rocminfo = rocminfo.split("\n")
    soc_regex = re.compile(r"^\s*Name\s*:\s+ ([a-zA-Z0-9]+)\s*$", re.MULTILINE)
    devices = list(filter(soc_regex.match, rocminfo))
    gpu_arch = devices[0].split()[1]

    if not gpu_arch in SUPPORTED_ARCHS.keys():
        print("Cannot find a supported arch in rocminfo")
        assert 0
    else:
        num_devices = (
            len(devices)
            if not "CI_VISIBLE_DEVICES" in os.environ
            else os.environ["CI_VISIBLE_DEVICES"]
        )

    ## 2) Parse chip id from rocminfo
    chip_id = re.compile(r"^\s*Chip ID:\s+ ([a-zA-Z0-9]+)\s*", re.MULTILINE)
    ids = list(filter(chip_id.match, rocminfo))
    for id in ids:
        chip_id = re.match(r"^[^()]+", id.split()[2]).group(0)

    ## 3) Deduce gpu model name from arch
    gpu_model = list(SUPPORTED_ARCHS[gpu_arch].keys())[0].upper()
    if gpu_model == "MI300":
        if chip_id in MI300_CHIP_IDS:
            gpu_model = MI300_CHIP_IDS[chip_id]

    return gpu_model


soc = gpu_soc()

# Set rocprofv2 as profiler if MI300
if "MI300" in soc:
    os.environ["ROCPROF"] = "rocprofv2"

Baseline_dir = str(Path("tests/workloads/vcopy/" + soc).resolve())


def log_counter(file_dict, test_name):
    for file in file_dict.keys():
        if file == "pmc_perf.csv" or "SQ" in file:
            # read file in Baseline
            df_1 = pd.read_csv(Baseline_dir + "/" + file, index_col=0)
            # get corresponding file from current test run
            df_2 = file_dict[file]

            errors = counter_compare(test_name, pd.DataFrame(), df_1, df_2, 5)
            if not errors.empty:
                if Path(
                    Baseline_dir + "/" + file.split(".")[0] + "_error_log.csv"
                ).exists():
                    error_log = pd.read_csv(
                        Baseline_dir + "/" + file.split(".")[0] + "_error_log.csv",
                        index_col=0,
                    )
                    new_error_log = pd.concat([error_log, errors])
                    new_error_log = new_error_log.reindex(
                        sorted(new_error_log.columns), axis=1
                    )
                    new_error_log = new_error_log.sort_values(
                        by=["test_name", "kernel_name", "gpu-id"]
                    )
                    new_error_log.to_csv(
                        Baseline_dir + "/" + file.split(".")[0] + "_error_log.csv"
                    )
                else:
                    errors.to_csv(
                        Baseline_dir + "/" + file.split(".")[0] + "_error_log.csv"
                    )


def baseline_compare_metric(test_name, workload_dir, args=[]):
    t = subprocess.Popen(
        [
            sys.executable,
            "src/rocprof_compute",
            "analyze",
            "--path",
            Baseline_dir,
        ]
        + args
        + ["--path", workload_dir, "--report-diff", "-1"],
        stdout=subprocess.PIPE,
    )
    captured_output = t.communicate(timeout=1300)[0].decode("utf-8")
    print(captured_output)
    assert t.returncode == 0

    if "DEBUG ERROR" in captured_output:
        error_df = pd.DataFrame()
        if Path(Baseline_dir + "/metric_error_log.csv").exists():
            error_df = pd.read_csv(
                Baseline_dir + "/metric_error_log.csv",
                index_col=0,
            )
        output_metric_errors = re.findall(r"(\')([0-9.]*)(\')", captured_output)
        high_diff_metrics = [x[1] for x in output_metric_errors]
        for metric in high_diff_metrics:
            metric_info = re.findall(
                r"(^"
                + metric
                + r")(?: *)([()0-9A-Za-z- ]+ )(?: *)([0-9.-]*)(?: *)([0-9.-]*)(?: *)\(([-0-9.]*)%\)(?: *)([-0-9.e]*)",
                captured_output,
                flags=re.MULTILINE,
            )
            if len(metric_info):
                metric_info = metric_info[0]
                metric_idx = metric_info[0]
                metric_name = metric_info[1].strip()
                baseline_val = metric_info[-3]
                current_val = metric_info[-4]
                relative_diff = float(metric_info[-2])
                absolute_diff = float(metric_info[-1])
                if relative_diff > -99:
                    if metric_idx in METRIC_THRESHOLDS.keys():
                        # print(metric_idx+" is in FIXED_METRICS")
                        threshold_type = (
                            "absolute"
                            if METRIC_THRESHOLDS[metric_idx]["absolute"]
                            > METRIC_THRESHOLDS[metric_idx]["relative"]
                            else "relative"
                        )

                        isValid = (
                            (
                                abs(absolute_diff)
                                <= METRIC_THRESHOLDS[metric_idx]["absolute"]
                            )
                            if (threshold_type == "absolute")
                            else (
                                abs(relative_diff)
                                <= METRIC_THRESHOLDS[metric_idx]["relative"]
                            )
                        )
                        if not isValid:
                            print(
                                "index "
                                + metric_idx
                                + " "
                                + threshold_type
                                + " difference is supposed to be "
                                + str(METRIC_THRESHOLDS[metric_idx][threshold_type])
                                + ", absolute diff:",
                                absolute_diff,
                                "relative diff: ",
                                relative_diff,
                            )
                            assert 0
                        continue

                    # Used for debugging metric lists
                    if config["METRIC_LOGGING"] and (
                        (
                            abs(relative_diff) <= abs(DEFAULT_REL_DIFF)
                            or (abs(absolute_diff) <= abs(DEFAULT_ABS_DIFF))
                        )
                        and (False if baseline_val == "" else float(baseline_val) > 0)
                    ):
                        # print("logging...")
                        # print(metric_info)

                        new_error = pd.DataFrame.from_dict(
                            {
                                "Index": [metric_idx],
                                "Metric": [metric_name],
                                "Percent Difference": [relative_diff],
                                "Absolute Difference": [absolute_diff],
                                "Baseline": [baseline_val],
                                "Current": [current_val],
                                "Test Name": [test_name],
                            }
                        )
                        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)


@pytest.mark.section
def test_instmix_section(binary_handler_profile_rocprof_compute):
    options = ["--block", "10"]
    workload_dir = test_utils.get_output_dir()
    _ = binary_handler_profile_rocprof_compute(
        config, workload_dir, options, check_success=True, roof=False
    )

    file_dict = test_utils.check_csv_files(workload_dir, 1, num_kernels)
    validate(
        inspect.stack()[0][3],
        workload_dir,
        file_dict,
    )

    assert test_utils.check_file_pattern(
        "'10': metric_id", f"{workload_dir}/profiling_config.yaml"
    )
    assert test_utils.check_file_pattern(
        "SQ_INSTS_VALU_MFMA_F64", f"{workload_dir}/pmc_perf.csv"
    )
    test_utils.clean_output_dir(config["cleanup"], workload_dir)


@pytest.mark.section
def test_instmix_memchart_section(binary_handler_profile_rocprof_compute):
    options = ["--block", "10", "3"]
    workload_dir = test_utils.get_output_dir()
    _ = binary_handler_profile_rocprof_compute(
        config, workload_dir, options, check_success=True, roof=False
    )

    file_dict = test_utils.check_csv_files(workload_dir, 1, num_kernels)
    validate(
        inspect.stack()[0][3],
        workload_dir,
        file_dict,
    )

    assert test_utils.check_file_pattern(
        "'10': metric_id", f"{workload_dir}/profiling_config.yaml"
    )
    assert test_utils.check_file_pattern(
        "'3': metric_id", f"{workload_dir}/profiling_config.yaml"
    )
    assert test_utils.check_file_pattern(
        "SQ_INSTS_VALU_MFMA_F64", f"{workload_dir}/pmc_perf.csv"
    )
    assert test_utils.check_file_pattern(
        "SQC_TC_DATA_READ_REQ", f"{workload_dir}/pmc_perf.csv"
    )
    test_utils.clean_output_dir(config["cleanup"], workload_dir)


@pytest.mark.section
def test_instmix_section_TA_block(binary_handler_profile_rocprof_compute):
    options = ["--block", "10", "TA"]
    workload_dir = test_utils.get_output_dir()
    _ = binary_handler_profile_rocprof_compute(
        config, workload_dir, options, check_success=True, roof=False
    )

    file_dict = test_utils.check_csv_files(workload_dir, 1, num_kernels)
    validate(
        inspect.stack()[0][3],
        workload_dir,
        file_dict,
    )

    assert test_utils.check_file_pattern(
        "'10': metric_id", f"{workload_dir}/profiling_config.yaml"
    )
    assert test_utils.check_file_pattern(
        "TA: hardware_block", f"{workload_dir}/profiling_config.yaml"
    )
    assert test_utils.check_file_pattern(
        "TA_FLAT_WAVEFRONTS", f"{workload_dir}/pmc_perf.csv"
    )
    assert not test_utils.check_file_pattern(
        "SQC_TC_DATA_READ_REQ", f"{workload_dir}/pmc_perf.csv"
    )
    assert test_utils.check_file_pattern("", f"{workload_dir}/pmc_perf.csv")
    test_utils.clean_output_dir(config["cleanup"], workload_dir)


@pytest.mark.section
def test_instmix_section_global_write_kernel(binary_handler_profile_rocprof_compute):
    options = ["-k", "global_write", "--block", "10"]
    custom_config = dict(config)
    custom_config["kernel_name_1"] = "global_write"
    custom_config["app_1"] = ["./tests/vmem"]
    num_kernels = 1

    workload_dir = test_utils.get_output_dir()
    _ = binary_handler_profile_rocprof_compute(
        custom_config, workload_dir, options, check_success=True, roof=False
    )

    file_dict = test_utils.check_csv_files(workload_dir, 1, num_kernels)
    validate(
        inspect.stack()[0][3],
        workload_dir,
        file_dict,
    )

    assert test_utils.check_file_pattern(
        "'10': metric_id", f"{workload_dir}/profiling_config.yaml"
    )
    assert test_utils.check_file_pattern(
        "- global_write", f"{workload_dir}/profiling_config.yaml"
    )
    assert test_utils.check_file_pattern(
        "SQ_INSTS_VALU_MFMA_F64", f"{workload_dir}/pmc_perf.csv"
    )
    assert test_utils.check_file_pattern("global_write", f"{workload_dir}/pmc_perf.csv")
    assert not test_utils.check_file_pattern(
        "global_read", f"{workload_dir}/pmc_perf.csv"
    )
    test_utils.clean_output_dir(config["cleanup"], workload_dir)


@pytest.mark.section
def test_list_metrics(binary_handler_profile_rocprof_compute):
    options = ["--list-metrics"]
    workload_dir = test_utils.get_output_dir()
    _ = binary_handler_profile_rocprof_compute(
        config, workload_dir, options, check_success=True, roof=False
    )
    # workload dir should be empty
    assert not os.listdir(workload_dir)
    test_utils.clean_output_dir(config["cleanup"], workload_dir)