add get ops scripts (#47048)

tools/get_op_list.py

+# 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 paddle
+import argparse
+import numpy as np
+import os
+import re
+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')