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# 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 | ||
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import argparse | ||
import glob | ||
import json | ||
import os | ||
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import tvm | ||
from tqdm import tqdm # type: ignore | ||
from tvm import meta_schedule as ms | ||
from tvm.ir import save_json | ||
from tvm.meta_schedule.testing.relay_workload import _load_cache | ||
from tvm.runtime import load_param_dict | ||
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def _parse_args(): | ||
parser = argparse.ArgumentParser() | ||
parser.add_argument( | ||
"--model_cache_dir", type=str, help="Please provide the full path to the model cache dir." | ||
) | ||
parser.add_argument( | ||
"--task_cache_dir", type=str, help="Please provide the full path to save extracted tasks." | ||
) | ||
parser.add_argument( | ||
"--target", type=str, default="cuda", help="Please specify the target hardware for tuning." | ||
) | ||
return parser.parse_args() | ||
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# pylint: disable=too-many-locals | ||
def extract_and_save_tasks(cache_file): | ||
"""Extract tuning tasks and cache the nonspatial ones in the given directory. | ||
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Parameters | ||
---------- | ||
cache_file : str | ||
The filename of the cached model. | ||
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Returns | ||
------- | ||
None | ||
""" | ||
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mod, params_bytearray, _ = _load_cache(args.model_cache_dir, cache_file) | ||
params = load_param_dict(params_bytearray) | ||
try: | ||
extracted_tasks = ms.extract_task_from_relay(mod, target=args.target, params=params) | ||
except tvm.error.TVMError as e: # pylint: disable=protected-access | ||
print(str(e)) | ||
return | ||
task_cache_path = os.path.join( | ||
args.task_cache_dir, cache_file.split(".")[0] + "_extracted_tasks.json" | ||
) | ||
is_spatial = tvm.get_global_func("tir.schedule.IsSpatialPrimFunc") | ||
with open(task_cache_path, "w", encoding="utf8") as file: | ||
for i, task in enumerate(extracted_tasks): | ||
subgraph = task.dispatched[0] | ||
prim_func = subgraph[subgraph.get_global_vars()[0]] | ||
if not is_spatial(prim_func): | ||
subgraph_str = save_json(subgraph) | ||
json_obj = [task.task_name, json.loads(subgraph_str)] | ||
json_str = json.dumps(json_obj) | ||
assert "\n" not in json_str, "Failed to generate single line string." | ||
if i == len(extracted_tasks) - 1: | ||
file.write(json_str) | ||
else: | ||
file.write(json_str + "\n") | ||
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args = _parse_args() # pylint: disable=invalid-name | ||
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def main(): | ||
if not os.path.isdir(args.model_cache_dir): | ||
raise Exception("Please provide a correct model cache dir.") | ||
try: | ||
os.makedirs(args.task_cache_dir, exist_ok=True) | ||
except OSError: | ||
print(f"Directory {args.task_cache_dir} cannot be created successfully.") | ||
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paths = glob.glob(os.path.join(args.model_cache_dir, "*.json")) # pylint: disable=invalid-name | ||
for path in tqdm(paths): | ||
filename = path.split("/")[-1] | ||
extract_and_save_tasks(filename) | ||
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if __name__ == "__main__": | ||
main() |
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