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- # Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
- #
- # Licensed 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.
-
- import argparse
- import os
- import re
-
- import numpy as np
-
- import paddle
- from paddle.inference import _get_phi_kernel_name
-
- paddle.enable_static()
-
-
- def parse_args():
- parser = argparse.ArgumentParser()
- parser.add_argument(
- '--model_dir',
- type=str,
- default="",
- help='Directory of the inference models.',
- )
- return parser.parse_args()
-
-
- def get_model_ops(model_file):
- model_bytes = paddle.static.load_from_file(model_file)
- pg = paddle.static.deserialize_program(model_bytes)
- ops_set = set()
-
- for i in range(0, pg.desc.num_blocks()):
- block = pg.desc.block(i)
- size = block.op_size()
-
- for j in range(0, size):
- ops_set.add(block.op(j).type())
-
- return ops_set
-
-
- def get_model_phi_kernels(ops_set):
- phi_set = set()
- for op in ops_set:
- phi_set.add(_get_phi_kernel_name(op))
-
- return phi_set
-
-
- if __name__ == '__main__':
- args = parse_args()
- for root, dirs, files in os.walk(args.model_dir, topdown=True):
- for name in files:
- if re.match(r'.*pdmodel', name):
- ops_set = get_model_ops(os.path.join(root, name))
- phi_set = get_model_phi_kernels(ops_set)
- ops = ";".join(ops_set)
- kernels = ";".join(phi_set)
- print("op_list: ", ops)
- print("kernel_list: ", kernels)
- ops = np.array([ops])
- kernels = np.array([kernels])
- np.savetxt("op_list.txt", ops, fmt='%s')
- np.savetxt("kernel_list.txt", kernels, fmt='%s')
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