Files
rocm-systems/projects/rocprofiler-compute/utils/split_config.py
T
jamessiddeley-amd 5840940caa [rocprof-compute] Generalize Roofline (#325)
* per kernel analysis Roofline

* added per-kernel eval_metric calculation with display

* fixed typo

* updated tty.py show_all()

* formatting

* fixed ctest failures and updated equations

* formatting

* updated metric descriptoins

* review tweaks

* update docs

* added roofline gui analysis

* updated GUI docs

* updated print statement

* comment tweaks and ran ruff formatting
2025-08-20 09:58:08 -04:00

256 regels
10 KiB
Python

# NOTES
#
# Read utils/unified_config.yaml and split it into per gfx architecture per panel
# config files. WARNING: This script will overwrite existing files under per gfx
# architecture folders under src/rocprof_compute_soc/analysis_configs.
#
# Read utils/unified_config.yaml and split it into metric tables per documentation
# section.
# WARNING: This script will overwrite existing docs/data/metrics_description.yaml.
import copy
import hashlib
import re
from pathlib import Path
import yaml
# Get root directory of the project
ROOT_DIR = Path(__file__).parent.parent
SOURCE_DIR = ROOT_DIR.joinpath("utils")
TARGET_DIR = ROOT_DIR.joinpath("src", "rocprof_compute_soc", "analysis_configs")
SETS_TARGET_DIR = ROOT_DIR.joinpath(
"src", "rocprof_compute_soc", "profile_configs", "sets"
)
DOC_TARGET_DIR = ROOT_DIR.joinpath("docs", "data")
AUTOGEN_TEXT = (
"# AUTOGENERATED FILE. Only edit for testing purposes, not for development. "
"Generated from utils/unified_config.yaml. Generated by utils/split_config.py\n"
)
HASH_FILE = ROOT_DIR.joinpath("utils", "autogen_hash.yaml")
HASH_FILE_MAP = {}
GFX_VERSIONS = ["gfx908", "gfx90a", "gfx940", "gfx941", "gfx942", "gfx950"]
METRIC_ID_TO_NAME_MAP = {gfx_version: {} for gfx_version in GFX_VERSIONS}
def get_autogen_text(config_file="utils/unified_config.yaml"):
return f"# AUTOGENERATED FILE. Only edit for testing purposes, not for development. Generated from {config_file}. Generated by utils/split_config.py\n"
def update_analysis_config():
global METRIC_ID_TO_NAME_MAP
# Read the unified config file
with open(SOURCE_DIR.joinpath("unified_config.yaml")) as file:
unified_config = yaml.safe_load(file)
# Create per panel config file
for panel_config in unified_config["panels"]:
new_panel_config = {"Panel Config": {}}
new_panel_config["Panel Config"]["id"] = panel_config["id"]
new_panel_config["Panel Config"]["title"] = panel_config["title"]
new_panel_config["Panel Config"]["metrics_description"] = {
key: value["plain"]
for key, value in panel_config.get("metrics_description", {}).items()
}
panel_id_int = panel_config["id"]
# Convert int into str with 4 digits
panel_id = str(panel_config["id"]).zfill(4)
# Replace parentehsis, hyphen, slash and space with underscore
# Remove duplicate underscore
# Convert to lower case
panel_title = re.sub(r"[()\-/ ]+", "_", panel_config["title"])
panel_title = "_".join(filter(None, panel_title.split("_")))
panel_title = panel_title.lower()
for gfx_version in GFX_VERSIONS:
# Create per gfx architecture folder
gfx_dir = TARGET_DIR.joinpath(gfx_version)
# Create directory if it doesn't exist
if not gfx_dir.exists():
gfx_dir.mkdir()
print(f"Created directory: {gfx_dir}")
# Select metrics from current gfx arch
new_panel_config["Panel Config"]["data source"] = []
for data_source_index, data_source_config in enumerate(
panel_config["data source"]
):
data_source_config = copy.deepcopy(data_source_config)
if "metric_table" in data_source_config:
data_source_config["metric_table"]["metric"] = data_source_config[
"metric_table"
]["metric"][gfx_version]
build_metric_id_mapping(
panel_id_int,
data_source_index,
data_source_config["metric_table"]["metric"],
gfx_version,
)
new_panel_config["Panel Config"]["data source"].append(
data_source_config
)
# Write panel config to file
filename = Path(
TARGET_DIR.joinpath(gfx_version, f"{panel_id}_{panel_title}.yaml")
)
with open(filename, "w") as file:
file.write(get_autogen_text())
yaml.dump(new_panel_config, file, sort_keys=False)
print(f"File write: {filename}")
# Calculate hash of filename
HASH_FILE_MAP[str(filename.relative_to(ROOT_DIR))] = hashlib.sha256(
filename.read_bytes()
).hexdigest()
def build_metric_id_mapping(panel_id, data_source_index, metrics, gfx_version):
# Build metric id to metric name mapping
global METRIC_ID_TO_NAME_MAP
for metric_index, metric_name in enumerate(metrics.keys()):
metric_id = f"{panel_id // 100}.{data_source_index + 1}.{metric_index}"
METRIC_ID_TO_NAME_MAP[gfx_version][str(metric_id)] = metric_name
def update_sets_config():
# Create directory if it doesn't exist
if not SETS_TARGET_DIR.exists():
SETS_TARGET_DIR.mkdir()
print(f"Created directory: {SETS_TARGET_DIR}")
# Read the unified config file
with open(SOURCE_DIR.joinpath("unified_sets.yaml")) as file:
unified_sets = yaml.safe_load(file)
# Create per gfx version file
for gfx_version in GFX_VERSIONS:
new_sets = {"sets": []}
for sets in unified_sets["sets"]:
# Create new set object for each set
current_set = {
"title": sets["title"],
"set_option": sets["set_option"],
"description": sets["description"],
"metric": [],
}
for metric_id in sets["metric"][gfx_version]:
current_set["metric"].append({
metric_id: METRIC_ID_TO_NAME_MAP[gfx_version][str(metric_id)]
})
new_sets["sets"].append(current_set)
# Write gfx version sets to file
filename = Path(SETS_TARGET_DIR.joinpath(f"{gfx_version}_sets.yaml"))
with open(filename, "w") as file:
file.write(get_autogen_text("utils/unified_sets.yaml"))
yaml.dump(new_sets, file, sort_keys=False)
print(f"File write: {filename}")
# Calculate hash of filename
HASH_FILE_MAP[str(filename.relative_to(ROOT_DIR))] = hashlib.sha256(
filename.read_bytes()
).hexdigest()
def update_documentation():
# Documentation sections
section_panel_map = {
"Wavefront launch stats": 701,
"Wavefront runtime stats": 702,
"Overall instruction mix": 1001,
"VALU arithmetic instruction mix": 1002,
"MFMA instruction mix": 1004,
"Compute Speed-of-Light": 1101,
"Pipeline statistics": 1102,
"Arithmetic operations": 1103,
"LDS Speed-of-Light": 1201,
"LDS Statistics": 1202,
"vL1D Speed-of-Light": 1601,
"Busy / stall metrics": 1501,
"Instruction counts": 1502,
"Spill / stack metrics": 1503,
"L1 Unified Translation Cache (UTCL1)": 1605,
"vL1D cache stall metrics": 1602,
"vL1D cache access metrics": 1603,
"Vector L1 data-return path or Texture Data (TD)": 1504,
"L2 Speed-of-Light": 1701,
"L2 cache accesses": 1703,
"L2-Fabric interface metrics": 1702,
"L2 - Fabric interface detailed metrics": 1706,
"L2 - Fabric Interface stalls": 1705,
"Scalar L1D Speed-of-Light": 1401,
"Scalar L1D cache accesses": 1402,
"Scalar L1D Cache - L2 Interface": 1403,
"L1I Speed-of-Light": 1301,
"L1I cache accesses": 1302,
"L1I <-> L2 interface": 1303,
"Workgroup manager utilizations": 601,
"Workgroup Manager - Resource Allocation": 602,
"Command processor fetcher (CPF)": 501,
"Command processor packet processor (CPC)": 502,
"System Speed-of-Light": 201,
}
# Read the unified config file
with open(SOURCE_DIR.joinpath("unified_config.yaml")) as file:
unified_config = yaml.safe_load(file)
panel_metric_map = {}
for panel_config in unified_config["panels"]:
for data_source in panel_config["data source"]:
if "metric_table" in data_source:
metrics_info = {}
# Metric names from data source
metric_names = {
metric
for _, gfx_data in data_source["metric_table"]["metric"].items()
for metric in gfx_data
}
# Select metrics with descriptions available
metric_names = metric_names.intersection(
panel_config["metrics_description"].keys()
)
# Add metrics info
for metric_name in sorted(list(metric_names)):
metrics_info[metric_name] = {
"rst": panel_config["metrics_description"][metric_name]["rst"],
"unit": panel_config["metrics_description"][metric_name][
"unit"
],
}
panel_metric_map[data_source["metric_table"]["id"]] = metrics_info
# Merge panel_metric_map with section_panel_map
section_metric_map = {}
for section, panel_id in section_panel_map.items():
if panel_id in panel_metric_map:
section_metric_map[section] = panel_metric_map[panel_id]
# Write documentation metrics description file
filename = Path(DOC_TARGET_DIR.joinpath("metrics_description.yaml"))
with open(filename, "w") as file:
file.write(get_autogen_text())
yaml.dump(section_metric_map, file, sort_keys=False)
print(f"File write: {filename}")
# Calculate hash of filename
HASH_FILE_MAP[str(filename.relative_to(ROOT_DIR))] = hashlib.sha256(
filename.read_bytes()
).hexdigest()
def update_hash():
# Write hash file
with open(HASH_FILE, "w") as file:
file.write(get_autogen_text())
yaml.dump(HASH_FILE_MAP, file, sort_keys=False)
print(f"File write: {HASH_FILE}")
if __name__ == "__main__":
update_analysis_config()
update_sets_config()
update_documentation()
update_hash()