-
Notifications
You must be signed in to change notification settings - Fork 3.5k
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
[MetaSchedule] Distributed Measurement
- Loading branch information
1 parent
6732a9e
commit 36ad76c
Showing
10 changed files
with
364 additions
and
13 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
199 changes: 199 additions & 0 deletions
199
python/tvm/meta_schedule/testing/distributed_measure_candidates.py
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,199 @@ | ||
| # Licensed to the Apache Software Foundation (ASF) under one | ||
| # or more contributor license agreements. See the NOTICE file | ||
| # distributed with this work for additional information | ||
| # regarding copyright ownership. The ASF licenses this file | ||
| # to you under the Apache License, Version 2.0 (the | ||
| # "License"); you may not use this file except in compliance | ||
| # with the License. You may obtain a copy of the License at | ||
| # | ||
| # http://www.apache.org/licenses/LICENSE-2.0 | ||
| # | ||
| # Unless required by applicable law or agreed to in writing, | ||
| # software distributed under the License is distributed on an | ||
| # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY | ||
| # KIND, either express or implied. See the License for the | ||
| # specific language governing permissions and limitations | ||
| # under the License. | ||
| # pylint: disable=missing-docstring | ||
|
|
||
| import argparse | ||
| import glob | ||
| import os | ||
| import time | ||
|
|
||
| from tqdm import tqdm # type: ignore | ||
| from tvm import meta_schedule as ms | ||
| from tvm.target import Target | ||
|
|
||
|
|
||
| def _parse_args(): | ||
| parser = argparse.ArgumentParser() | ||
| parser.add_argument( | ||
| "--candidate_cache_dir", type=str, help="Please provide the full path to the candidates." | ||
| ) | ||
| parser.add_argument( | ||
| "--result_cache_dir", type=str, help="Please provide the full path to the result database." | ||
| ) | ||
| parser.add_argument( | ||
| "--target", | ||
| type=str, | ||
| default="nvidia/nvidia-v100", | ||
| help="Please specify the target hardware for tuning context.", | ||
| ) | ||
| parser.add_argument( | ||
| "--rpc_host", type=str, help="Please provide the private IPv4 address for the tracker." | ||
| ) | ||
| parser.add_argument( | ||
| "--rpc_port", type=int, default=4445, help="Please provide the port for the tracker." | ||
| ) | ||
| parser.add_argument( | ||
| "--rpc_key", | ||
| type=str, | ||
| default="p3.2xlarge", | ||
| help="Please provide the key for the rpc servers.", | ||
| ) | ||
| parser.add_argument( | ||
| "--builder_timeout_sec", | ||
| type=int, | ||
| default=10, | ||
| help="The time for the builder session to time out.", | ||
| ) | ||
| parser.add_argument( | ||
| "--min_repeat_ms", type=int, default=100, help="The time for preheating the gpu." | ||
| ) | ||
| parser.add_argument( | ||
| "--runner_timeout_sec", | ||
| type=int, | ||
| default=100, | ||
| help="The time for the runner session to time out.", | ||
| ) | ||
| parser.add_argument( | ||
| "--batch_size", | ||
| type=int, | ||
| default=128, | ||
| help="The batch size of candidates sent to builder and runner each time.", | ||
| ) | ||
| return parser.parse_args() | ||
|
|
||
|
|
||
| # pylint: disable=too-many-locals | ||
| def measure_candidates(database, builder, runner): | ||
| """Send the candidates to builder and runner for distributed measurement, | ||
| and save the results in a new json database. | ||
| Parameters | ||
| ---------- | ||
| database : JSONDatabase | ||
| The database for candidates to be measured. | ||
| builder : Builder | ||
| The builder for building the candidates. | ||
| runner : Runner | ||
| The runner for measuring the candidates. | ||
| Returns | ||
| ------- | ||
| None | ||
| """ | ||
| candidates, runner_results, build_fail_indices, run_fail_indices = [], [], [], [] | ||
| build_time, run_time = 0.0, 0.0 | ||
| context = ms.TuneContext(target=Target(args.target)) | ||
| tuning_records = database.get_all_tuning_records() | ||
| for record in tuning_records: | ||
| candidates.append(context.get_measure_candidate(record.workload.mod, record.trace)) | ||
| for idx in range(0, len(candidates), args.batch_size): | ||
| batch_candidates = candidates[idx : idx + args.batch_size] | ||
| context.set_measure_candidates(batch_candidates) | ||
| build_start_time = time.time() | ||
| context.send_to_builder(builder) | ||
| build_end_time = time.time() | ||
| context.send_to_runner(runner) | ||
| batch_runner_results = context.join() | ||
| run_end_time = time.time() | ||
| runner_results.extend(batch_runner_results) | ||
| for i, result in enumerate(context.builder_results): | ||
| if result.error_msg is None: | ||
| ms.utils.remove_build_dir(result.artifact_path) | ||
| else: | ||
| build_fail_indices.append(i + idx) | ||
| context.clear_measure_state() | ||
| build_time += build_end_time - build_start_time | ||
| run_time += run_end_time - build_end_time | ||
|
|
||
| model_name, workload_name = database.path_workload.split("/")[-2:] | ||
| record_name = database.path_tuning_record.split("/")[-1] | ||
| new_database = ms.database.JSONDatabase( | ||
| path_workload=os.path.join(args.result_cache_dir, model_name, workload_name), | ||
| path_tuning_record=os.path.join(args.result_cache_dir, model_name, record_name), | ||
| ) | ||
| workload = tuning_records[0].workload | ||
| new_database.commit_workload(workload.mod) | ||
| for i, (record, result) in enumerate(zip(tuning_records, runner_results)): | ||
| if result.error_msg is None: | ||
| new_database.commit_tuning_record( | ||
| ms.database.TuningRecord( | ||
| trace=record.trace, | ||
| workload=workload, | ||
| run_secs=[v.value for v in result.run_secs], | ||
| target=Target(args.target), | ||
| ) | ||
| ) | ||
| else: | ||
| run_fail_indices.append(i) | ||
| fail_indices_name = workload_name[:-13] + "failed_indices.txt" | ||
| with open( | ||
| os.path.join(args.result_cache_dir, model_name, fail_indices_name), "w", encoding="utf8" | ||
| ) as file: | ||
| file.write(" ".join([str(n) for n in run_fail_indices])) | ||
| print( | ||
| f"Builder time: {build_time}, Runner time: {run_time}\n\ | ||
| Failed number of builds: {len(build_fail_indices)},\ | ||
| Failed number of runs: {len(run_fail_indices)}" | ||
| ) | ||
|
|
||
|
|
||
| args = _parse_args() # pylint: disable=invalid-name | ||
|
|
||
|
|
||
| def main(): | ||
| builder = ms.builder.LocalBuilder(timeout_sec=args.builder_timeout_sec) | ||
| runner = ms.runner.RPCRunner( | ||
| rpc_config=ms.runner.RPCConfig( | ||
| tracker_host=args.rpc_host, | ||
| tracker_port=args.rpc_port, | ||
| tracker_key=args.rpc_key, | ||
| session_timeout_sec=args.runner_timeout_sec, | ||
| ), | ||
| evaluator_config=ms.runner.EvaluatorConfig( | ||
| number=1, | ||
| repeat=1, | ||
| min_repeat_ms=args.min_repeat_ms, | ||
| enable_cpu_cache_flush=False, | ||
| ), | ||
| max_workers=os.cpu_count(), | ||
| ) | ||
| if not os.path.isdir(args.candidate_cache_dir): | ||
| raise Exception("Please provide a correct candidate cache dir.") | ||
| try: | ||
| os.makedirs(args.result_cache_dir, exist_ok=True) | ||
| except OSError: | ||
| print(f"Directory {args.result_cache_dir} cannot be created successfully.") | ||
| model_dirs = glob.glob(os.path.join(args.candidate_cache_dir, "*")) | ||
| for model_dir in model_dirs: | ||
| model_name = model_dir.split("/")[-1] | ||
| os.makedirs(os.path.join(args.result_cache_dir, model_name), exist_ok=True) | ||
| all_tasks = glob.glob(os.path.join(model_dir, "*.json")) | ||
| workload_paths = [] | ||
| for path in all_tasks: | ||
| if "workload" in path: | ||
| workload_paths.append(path) | ||
| for workload_path in tqdm(workload_paths): | ||
| candidate_path = workload_path[:-13] + "candidates.json" | ||
| database = ms.database.JSONDatabase( | ||
| path_workload=workload_path, | ||
| path_tuning_record=candidate_path, | ||
| ) | ||
| measure_candidates(database, builder, runner) | ||
|
|
||
|
|
||
| if __name__ == "__main__": | ||
| main() |
Oops, something went wrong.