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add static_ops.yaml for static op (PaddlePaddle#48991)
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,153 @@ | ||
| # 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 | ||
| from pathlib import Path | ||
|
|
||
| import yaml | ||
| from filters import ( | ||
| cartesian_prod_mapping, | ||
| to_input_name, | ||
| to_int_array_tensor_name, | ||
| to_int_array_tensors_name, | ||
| to_op_attr_type, | ||
| to_opmaker_name, | ||
| to_opmaker_name_cstr, | ||
| to_pascal_case, | ||
| to_scalar_tensor_name, | ||
| ) | ||
| from generate_op import replace_compat_name | ||
| from jinja2 import Environment, FileSystemLoader, StrictUndefined | ||
| from parse_utils import to_named_dict | ||
| from tests import ( | ||
| is_base_op, | ||
| is_initializer_list, | ||
| is_scalar, | ||
| is_vec, | ||
| supports_inplace, | ||
| supports_no_need_buffer, | ||
| ) | ||
|
|
||
| file_loader = FileSystemLoader(Path(__file__).parent / "templates") | ||
| env = Environment( | ||
| loader=file_loader, | ||
| keep_trailing_newline=True, | ||
| trim_blocks=True, | ||
| lstrip_blocks=True, | ||
| undefined=StrictUndefined, | ||
| extensions=['jinja2.ext.do'], | ||
| ) | ||
| env.filters["to_op_attr_type"] = to_op_attr_type | ||
| env.filters["to_opmaker_name"] = to_opmaker_name | ||
| env.filters["to_pascal_case"] = to_pascal_case | ||
| env.filters["to_scalar_tensor_name"] = to_scalar_tensor_name | ||
| env.filters["to_int_array_tensor_name"] = to_int_array_tensor_name | ||
| env.filters["to_int_array_tensors_name"] = to_int_array_tensors_name | ||
| env.filters["to_input_name"] = to_input_name | ||
| env.filters["to_opmaker_name_cstr"] = to_opmaker_name_cstr | ||
| env.filters["cartesian_prod_mapping"] = cartesian_prod_mapping | ||
| env.tests["base_op"] = is_base_op | ||
| env.tests["vec"] = is_vec | ||
| env.tests["scalar"] = is_scalar | ||
| env.tests["initializer_list"] = is_initializer_list | ||
| env.tests["supports_inplace"] = supports_inplace | ||
| env.tests["supports_no_need_buffer"] = supports_no_need_buffer | ||
|
|
||
|
|
||
| def restruct_io(op): | ||
| op["input_dict"] = to_named_dict(op["inputs"]) | ||
| op["attr_dict"] = to_named_dict(op["attrs"]) | ||
| op["output_dict"] = to_named_dict(op["outputs"]) | ||
| return op | ||
|
|
||
|
|
||
| def main( | ||
| ops_yaml_path, | ||
| op_compat_yaml_path, | ||
| op_version_yaml_path, | ||
| output_op_path, | ||
| output_arg_map_path, | ||
| ): | ||
| with open(ops_yaml_path, "rt") as f: | ||
| ops = yaml.safe_load(f) | ||
| ops = [restruct_io(op) for op in ops] | ||
| forward_op_dict = to_named_dict(ops) | ||
|
|
||
| with open(op_version_yaml_path, "rt") as f: | ||
| op_versions = yaml.safe_load(f) | ||
|
|
||
| # add op version info into op | ||
| for op_version in op_versions: | ||
| if op_version['op'] in forward_op_dict: | ||
| forward_op_dict[op_version['op']]['version'] = op_version['version'] | ||
|
|
||
| with open(op_compat_yaml_path, "rt") as f: | ||
| op_op_map = yaml.safe_load(f) | ||
|
|
||
| for op in ops: | ||
| op['op_name'] = op['name'] | ||
|
|
||
| replace_compat_name(op_op_map, forward_op_dict, {}) | ||
|
|
||
| if len(ops) == 0: | ||
| if os.path.isfile(output_op_path): | ||
| os.remove(output_op_path) | ||
| if os.path.isfile(output_arg_map_path): | ||
| os.remove(output_arg_map_path) | ||
| return | ||
|
|
||
| op_template = env.get_template('op.c.j2') | ||
| with open(output_op_path, "wt") as f: | ||
| msg = op_template.render( | ||
| ops=ops, backward_ops=[], op_dict=forward_op_dict | ||
| ) | ||
| f.write(msg) | ||
|
|
||
| ks_template = env.get_template('ks.c.j2') | ||
| with open(output_arg_map_path, 'wt') as f: | ||
| msg = ks_template.render(ops=ops, backward_ops=[]) | ||
| f.write(msg) | ||
|
|
||
|
|
||
| if __name__ == "__main__": | ||
| parser = argparse.ArgumentParser( | ||
| description="Generate operator file from op yaml." | ||
| ) | ||
| parser.add_argument( | ||
| '--ops_yaml_path', type=str, help="parsed static ops yaml file." | ||
| ) | ||
| parser.add_argument( | ||
| '--op_compat_yaml_path', type=str, help="ops args compat yaml file." | ||
| ) | ||
| parser.add_argument( | ||
| '--op_version_yaml_path', type=str, help="ops version yaml file." | ||
| ) | ||
| parser.add_argument( | ||
| "--output_op_path", type=str, help="path to save generated operators." | ||
| ) | ||
| parser.add_argument( | ||
| "--output_arg_map_path", | ||
| type=str, | ||
| help="path to save generated argument mapping functions.", | ||
| ) | ||
|
|
||
| args = parser.parse_args() | ||
| main( | ||
| args.ops_yaml_path, | ||
| args.op_compat_yaml_path, | ||
| args.op_version_yaml_path, | ||
| args.output_op_path, | ||
| args.output_arg_map_path, | ||
| ) |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,7 @@ | ||
| - op : share_buffer | ||
| args : (Tensor[] x, bool[] share_dims_and_dtype={}) | ||
| output : Tensor[](out){x.size()}, Tensor[](xout){x.size()} | ||
| infer_meta : | ||
| func : ShareBufferInferMeta | ||
| kernel : | ||
| func : share_buffer |