forked from huawei/mindspore2022
45 lines
1.4 KiB
Python
45 lines
1.4 KiB
Python
# Copyright 2020 Huawei Technologies Co., Ltd
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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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# ============================================================================
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"""
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Neural Networks Cells.
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Pre-defined building blocks or computing units to construct neural networks.
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"""
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from . import layer, loss, optim, metrics, wrap, grad, probability, sparse, dynamic_lr
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from .learning_rate_schedule import *
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from .dynamic_lr import *
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from .cell import Cell, GraphKernel, GraphCell
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from .layer import *
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from .loss import *
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from .optim import *
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from .metrics import *
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from .wrap import *
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from .grad import *
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from .sparse import *
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__all__ = ["Cell", "GraphKernel", "GraphCell"]
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__all__.extend(layer.__all__)
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__all__.extend(loss.__all__)
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__all__.extend(optim.__all__)
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__all__.extend(metrics.__all__)
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__all__.extend(wrap.__all__)
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__all__.extend(grad.__all__)
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__all__.extend(sparse.__all__)
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__all__.extend(learning_rate_schedule.__all__)
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__all__.extend(dynamic_lr.__all__)
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__all__.sort()
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