5deeea71df
* updated rocprof-compute formatting * fixed ammolite peak variables in parser.py * format parser.py * update formatting rocprof_compute_base
335 righe
13 KiB
Python
335 righe
13 KiB
Python
##############################################################################
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# MIT License
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#
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# Copyright (c) 2021 - 2025 Advanced Micro Devices, Inc. All Rights Reserved.
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#
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# Permission is hereby granted, free of charge, to any person obtaining a copy
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# of this software and associated documentation files (the "Software"), to deal
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# in the Software without restriction, including without limitation the rights
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# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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# copies of the Software, and to permit persons to whom the Software is
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# furnished to do so, subject to the following conditions:
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#
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# The above copyright notice and this permission notice shall be included in
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# all copies or substantial portions of the Software.
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#
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# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
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# THE SOFTWARE.
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##############################################################################
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import copy
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import sys
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import textwrap
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from abc import abstractmethod
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from collections import OrderedDict
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from pathlib import Path
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import pandas as pd
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import config
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from utils import file_io, parser, schema
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from utils.logger import (
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console_debug,
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console_error,
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console_log,
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console_warning,
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demarcate,
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)
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from utils.utils import is_workload_empty, merge_counters_spatial_multiplex
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class OmniAnalyze_Base:
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def __init__(self, args, supported_archs):
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self.__args = args
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self._runs = OrderedDict()
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self._arch_configs = {}
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self._profiling_config = dict()
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self.__supported_archs = supported_archs
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self._output = None
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self.__socs: dict = None # available OmniSoC objs
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def get_args(self):
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return self.__args
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def set_soc(self, omni_socs):
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self.__socs = omni_socs
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def get_socs(self):
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return self.__socs
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@demarcate
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def spatial_multiplex_merge_counters(self, df):
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return merge_counters_spatial_multiplex(df)
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@demarcate
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def generate_configs(self, arch, config_dir, list_stats, filter_metrics, sys_info):
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single_panel_config = file_io.is_single_panel_config(
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Path(config_dir), self.__supported_archs
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)
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ac = schema.ArchConfig()
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if list_stats:
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ac.panel_configs = file_io.top_stats_build_in_config
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else:
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arch_panel_config = [
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config_dir if single_panel_config else config_dir.joinpath(arch)
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]
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# Use restructured perf metrics in TUI analyze mode
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if self.__args.tui and arch in ["gfx942", "gfx950"]:
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arch_panel_config.append(
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f"{config.rocprof_compute_home}/rocprof_compute_tui/utils/{arch}"
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)
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ac.panel_configs = file_io.load_panel_configs(arch_panel_config)
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# TODO: filter_metrics should/might be one per arch
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# print(ac)
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parser.build_dfs(
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archConfigs=ac, filter_metrics=filter_metrics, sys_info=sys_info
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)
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self._arch_configs[arch] = ac
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return self._arch_configs
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@demarcate
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def list_metrics(self):
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args = self.__args
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if args.list_metrics in self.__supported_archs.keys():
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arch = args.list_metrics
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if arch not in self._arch_configs.keys():
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sys_info = file_io.load_sys_info(
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Path(self.__args.path[0][0], "sysinfo.csv")
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)
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self.generate_configs(
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arch,
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args.config_dir,
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args.list_stats,
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args.filter_metrics,
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sys_info.iloc[0],
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)
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metric_descriptions = {
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k: v
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for dfs in self._arch_configs[args.list_metrics].dfs.values()
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for k, v in dfs.to_dict().get("Description", {}).items()
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}
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for key, value in self._arch_configs[args.list_metrics].metric_list.items():
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prefix = ""
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description = ""
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if "." not in str(key):
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prefix = ""
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elif str(key).count(".") == 1:
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prefix = "\t"
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else:
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prefix = "\t\t"
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description = metric_descriptions.get(key, "")
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print(prefix + key, "->", value + "\n")
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if description:
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print(
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prefix
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+ f"\n{prefix}".join(textwrap.wrap(description, width=40))
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+ "\n"
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)
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sys.exit(0)
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else:
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console_error("Unsupported arch")
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@demarcate
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def load_options(self, normalization_filter):
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if not normalization_filter:
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for k, v in self._arch_configs.items():
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parser.build_metric_value_string(
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v.dfs, v.dfs_type, self.__args.normal_unit, self._profiling_config
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)
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else:
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for k, v in self._arch_configs.items():
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parser.build_metric_value_string(
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v.dfs, v.dfs_type, normalization_filter, self._profiling_config
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)
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args = self.__args
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# Error checking for multiple runs and multiple kernel filters
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if args.gpu_kernel and (len(args.path) != len(args.gpu_kernel)):
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if len(args.gpu_kernel) == 1:
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for i in range(len(args.path) - 1):
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args.gpu_kernel.extend(args.gpu_kernel)
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else:
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console_error(
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"analysis"
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"The number of -k/--kernel doesn't match the number of --dir."
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)
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@demarcate
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def initalize_runs(self, normalization_filter=None):
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if self.__args.list_metrics:
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self.list_metrics()
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def get_sysinfo_path(data_path):
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return (
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Path(data_path)
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if self.__args.nodes is None
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and self.__args.spatial_multiplexing is not True
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else file_io.find_1st_sub_dir(data_path)
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)
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# load required configs
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for d in self.__args.path:
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sysinfo_path = get_sysinfo_path(d[0])
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sys_info = file_io.load_sys_info(sysinfo_path.joinpath("sysinfo.csv"))
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arch = sys_info.iloc[0]["gpu_arch"]
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args = self.__args
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self.generate_configs(
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arch,
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args.config_dir,
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args.list_stats,
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args.filter_metrics,
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sys_info.iloc[0],
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)
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self.load_options(normalization_filter)
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for d in self.__args.path:
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w = schema.Workload()
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# FIXME:
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# For regular single node case, load sysinfo.csv directly
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# For multi-node, either the default "all", or specified some,
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# pick up the one in the 1st sub_dir. We could fix it properly later.
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w = schema.Workload()
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sysinfo_path = get_sysinfo_path(d[0])
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w.sys_info = file_io.load_sys_info(sysinfo_path.joinpath("sysinfo.csv"))
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if not getattr(self.get_args(), "no_roof", False):
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try:
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roofline_csv_path = sysinfo_path / "roofline.csv"
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roofline_df = pd.read_csv(roofline_csv_path)
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w.roofline_peaks = roofline_df
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except FileNotFoundError:
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console_warning("roofline.csv not found.")
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w.roofline_peaks = pd.DataFrame()
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else:
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w.roofline_peaks = pd.DataFrame()
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arch = w.sys_info.iloc[0]["gpu_arch"]
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mspec = self.get_socs()[arch]._mspec
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if self.__args.specs_correction:
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w.sys_info = parser.correct_sys_info(
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mspec, self.__args.specs_correction
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)
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w.avail_ips = w.sys_info["ip_blocks"].item().split("|")
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w.dfs = copy.deepcopy(self._arch_configs[arch].dfs)
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w.dfs_type = self._arch_configs[arch].dfs_type
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self._runs[d[0]] = w
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return self._runs
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@demarcate
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def sanitize(self):
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"""Perform sanitization of inputs"""
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if self.__args.tui:
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return
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if not self.__args.path:
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console_error("The following arguments are required: -p/--path")
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# verify not accessing parent directories
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if ".." in str(self.__args.path):
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console_error(
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"Access denied. Cannot access parent directories in path (i.e. ../)"
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)
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# ensure absolute path
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for dir in self.__args.path:
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full_path = str(Path(dir[0]).absolute().resolve())
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dir[0] = full_path
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if not Path(dir[0]).is_dir():
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console_error("Invalid directory {}\nPlease try again.".format(dir[0]))
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# validate profiling data
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# Todo: more err check
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if not (
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self.__args.nodes is not None
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or self.__args.list_nodes
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or self.__args.spatial_multiplexing
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):
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is_workload_empty(dir[0])
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# else:
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# no using same paths
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occurances = set()
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for dir in self.__args.path:
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dir = dir[0]
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if dir in occurances:
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console_error("You cannot provide the same path twice.")
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else:
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occurances.add(dir)
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# FIXME:
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# The proper location of this func should be in pre_processing().
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# However, because of reading soc depends on sys spec, and sys
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# spec depends on sys_info. And we read sys_info too early so we
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# . can not do it now. There should be a way to make it simpler.
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if self.__args.list_nodes:
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nodes = []
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# NB:
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# There are 2 ways to do it: one is doing like the below, checking
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# sub dirs only as we assume the profiling stage generate sub dirs
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# with node name. The 2nd way would be checkign host name in each
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# sub dir and very those.
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for subdir in Path(self.__args.path[0][0]).iterdir():
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if subdir.is_dir():
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nodes.append(str(subdir.name))
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print("Node list:", " ".join(nodes))
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sys.exit(0)
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# ----------------------------------------------------
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# Required methods to be implemented by child classes
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# ----------------------------------------------------
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@abstractmethod
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def pre_processing(self):
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"""Perform initialization prior to analysis."""
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console_debug("analysis", "prepping to do some analysis")
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console_log("analysis", "deriving rocprofiler-compute metrics...")
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# initalize output file
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self._output = (
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open(self.__args.output_file, "w+")
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if self.__args.output_file
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else sys.stdout
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)
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# Read profiling config
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self._profiling_config = file_io.load_profiling_config(self.__args.path[0][0])
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# initalize runs
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self._runs = self.initalize_runs()
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# set filters
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if self.__args.gpu_kernel:
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for d, gk in zip(self.__args.path, self.__args.gpu_kernel):
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self._runs[d[0]].filter_kernel_ids = gk
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if self.__args.gpu_id:
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if len(self.__args.gpu_id) == 1 and len(self.__args.path) != 1:
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for i in range(len(self.__args.path) - 1):
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self.__args.gpu_id.extend(self.__args.gpu_id)
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for d, gi in zip(self.__args.path, self.__args.gpu_id):
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self._runs[d[0]].filter_gpu_ids = gi
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if self.__args.gpu_dispatch_id:
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if len(self.__args.gpu_dispatch_id) == 1 and len(self.__args.path) != 1:
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for i in range(len(self.__args.path) - 1):
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self.__args.gpu_dispatch_id.extend(self.__args.gpu_dispatch_id)
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for d, gd in zip(self.__args.path, self.__args.gpu_dispatch_id):
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self._runs[d[0]].filter_dispatch_ids = gd
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if self.__args.nodes:
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if len(self.__args.nodes) == 1 and len(self.__args.path) != 1:
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for i in range(len(self.__args.path) - 1):
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self.__args.nodes.extend(self.__args.nodes)
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for d, gd in zip(self.__args.path, self.__args.nodes):
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self._runs[d[0]].nodes = gd
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@abstractmethod
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def run_analysis(self):
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"""Run analysis."""
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console_debug("analysis", "generating analysis")
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