wehub-resource-sync
94 lines
3.1 KiB
Python
94 lines
3.1 KiB
Python
# Copyright (c) 2025 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import warnings
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import paddle
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from .pir_attrs_serializer import PirAttrsSerializer
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class FacadeOp:
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def __init__(self):
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self.custom_op_name_ = self.custom_op_name()
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self.infer_meta_ = self._check_to_str_pair(self.infer_meta())
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self.infer_symbolic_ = self._check_to_str_pair(self.infer_symbolic())
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self.num_inputs_ = self.num_inputs()
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self.attrs_serializer_ = PirAttrsSerializer(self.attributes_schema)
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def custom_op_name(self) -> str:
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raise NotImplementedError(
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"static method custom_op_name() is not overwritten"
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)
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def infer_meta(self) -> str:
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raise NotImplementedError(
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"static method infer_meta() is not overwritten"
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)
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def infer_symbolic(self) -> str:
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raise NotImplementedError(
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"static method infer_symbolic() is not overwritten"
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)
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def num_inputs(self) -> int:
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raise NotImplementedError(
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"static method num_inputs() is not overwritten"
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)
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def num_outputs(self, args) -> int:
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raise NotImplementedError(
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"static method num_outputs() is not overwritten"
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)
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def attributes_schema(self):
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# annotations matter.
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raise NotImplementedError(
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"static method attributes_schema() is not overwritten"
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)
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def __call__(self, args, **kwargs):
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if paddle.in_dynamic_mode():
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warnings.warn("ap FacadeOp should not run in dynamic mode")
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assert isinstance(args, (tuple, list))
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self._check_num_inputs(len(args))
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serialized_attrs = self.attrs_serializer_(**kwargs)
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ret = paddle._C_ops.ap_facade(
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args if len(args) > 0 else None,
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self.num_outputs(args),
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self.custom_op_name_,
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self.infer_meta_,
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self.infer_symbolic_,
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serialized_attrs,
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)
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self._check_num_outputs(args, len(ret))
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return ret
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def _check_num_inputs(self, num_args):
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if self.num_inputs_ >= 0:
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assert self.num_inputs_ == num_args
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def _check_num_outputs(self, args, num_rets):
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num_outputs = self.num_outputs(args)
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if num_outputs >= 0:
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assert num_outputs == num_rets
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def _check_to_str_pair(self, pair_str):
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assert isinstance(pair_str, str)
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pair = pair_str.split(".")
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assert len(pair) == 2
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assert pair[0] not in (None, "")
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assert pair[1] not in (None, "")
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return pair_str
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