45 lines
1.2 KiB
45 lines
1.2 KiB
# Copyright (c) 2018 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 contextlib
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import sys
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import numpy as np
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from paddle.fluid import core
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from paddle.fluid import framework
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from paddle.fluid.imperative import base
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__all__ = ['PyLayer']
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class PyLayer(core.Layer):
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def __init__(self, dtype=core.VarDesc.VarType.FP32, name=None):
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self._once_built = False
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self._dtype = dtype
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def _build_once(self, inputs):
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pass
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def __call__(self, *inputs):
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if not self._once_built:
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self._build_once(*inputs)
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self._once_built = True
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outputs = self.forward(*inputs)
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return outputs
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def forward(self, *inputs):
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raise NotImplementedError
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