chore: import upstream snapshot with attribution

2026-07-13 12:40:42 +08:00
commit e25996e7db
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+#   Copyright (c) 2020 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.
+
+# TODO: define activation functions of neural network
+
+from . import container, rnn, transformer  # noqa: F401
+from .activation import (  # noqa: F401
+    CELU,
+    LeakyReLU,
+    LogSoftmax,
+    PReLU,
+    ReLU,
+    ReLU6,
+    RReLU,
+    Sigmoid,
+    Softmax,
+    Softmax2D,
+)
+from .common import (  # noqa: F401
+    AlphaDropout,
+    Bilinear,
+    ConstantPad1D,
+    ConstantPad2D,
+    ConstantPad3D,
+    CosineSimilarity,
+    Dropout,
+    Dropout2D,
+    Dropout3D,
+    Embedding,
+    FeatureAlphaDropout,
+    Flatten,
+    Fold,
+    Identity,
+    Linear,
+    Pad1D,
+    Pad2D,
+    Pad3D,
+    ReflectionPad1D,
+    ReflectionPad2D,
+    ReflectionPad3D,
+    ReplicationPad1D,
+    ReplicationPad2D,
+    ReplicationPad3D,
+    Unflatten,
+    Upsample,
+    UpsamplingBilinear2D,
+    UpsamplingNearest2D,
+    ZeroPad2D,
+)
+from .container import LayerDict  # noqa: F401
+from .conv import (  # noqa: F401
+    Conv1D,
+    Conv1DTranspose,
+    Conv2D,
+    Conv2DTranspose,
+    Conv3D,
+    Conv3DTranspose,
+)
+from .distance import PairwiseDistance  # noqa: F401
+from .layers import Layer  # noqa: F401
+from .loss import (  # noqa: F401
+    AdaptiveLogSoftmaxWithLoss,
+    BCELoss,
+    BCEWithLogitsLoss,
+    CrossEntropyLoss,
+    CTCLoss,
+    GaussianNLLLoss,
+    HingeEmbeddingLoss,
+    KLDivLoss,
+    L1Loss,
+    MarginRankingLoss,
+    MSELoss,
+    MultiLabelMarginLoss,
+    MultiLabelSoftMarginLoss,
+    MultiMarginLoss,
+    NLLLoss,
+    PoissonNLLLoss,
+    RNNTLoss,
+    SmoothL1Loss,
+    SoftMarginLoss,
+    TripletMarginLoss,
+    TripletMarginWithDistanceLoss,
+)
+from .norm import (  # noqa: F401
+    BatchNorm1D,
+    BatchNorm2D,
+    BatchNorm3D,
+    GroupNorm,
+    LayerNorm,
+    LocalResponseNorm,
+    SpectralNorm,
+    SyncBatchNorm,
+)
+from .pooling import (  # noqa: F401
+    AdaptiveAvgPool1D,
+    AdaptiveAvgPool2D,
+    AdaptiveAvgPool3D,
+    AdaptiveMaxPool1D,
+    AdaptiveMaxPool2D,
+    AdaptiveMaxPool3D,
+    AvgPool1D,
+    AvgPool2D,
+    AvgPool3D,
+    FractionalMaxPool2D,
+    FractionalMaxPool3D,
+    LPPool1D,
+    LPPool2D,
+    MaxPool1D,
+    MaxPool2D,
+    MaxPool3D,
+    MaxUnPool1D,
+    MaxUnPool2D,
+    MaxUnPool3D,
+)
+from .vision import ChannelShuffle, PixelShuffle, PixelUnshuffle  # noqa: F401
+
+__all__ = []