chore: import upstream snapshot with attribution

2026-07-13 12:40:42 +08:00
commit e25996e7db
15472 changed files with 3536181 additions and 0 deletions
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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.
+import paddle  # noqa: F401
+from paddle import nn  # noqa: F401
+
+from . import (  # noqa: F401
+    datasets,
+    models,
+    ops,
+    transforms,
+)
+from .datasets import (  # noqa: F401
+    MNIST,
+    VOC2012,
+    Cifar10,
+    Cifar100,
+    DatasetFolder,
+    FashionMNIST,
+    Flowers,
+    ImageFolder,
+)
+from .image import (
+    get_image_backend,
+    image_load,
+    set_image_backend,
+)
+from .models import (  # noqa: F401
+    VGG,
+    AlexNet,
+    DenseNet,
+    GoogLeNet,
+    InceptionV3,
+    LeNet,
+    MobileNetV1,
+    MobileNetV2,
+    MobileNetV3Large,
+    MobileNetV3Small,
+    ResNet,
+    ShuffleNetV2,
+    SqueezeNet,
+    alexnet,
+    densenet121,
+    densenet161,
+    densenet169,
+    densenet201,
+    densenet264,
+    googlenet,
+    inception_v3,
+    mobilenet_v1,
+    mobilenet_v2,
+    mobilenet_v3_large,
+    mobilenet_v3_small,
+    resnet18,
+    resnet34,
+    resnet50,
+    resnet101,
+    resnet152,
+    resnext50_32x4d,
+    resnext50_64x4d,
+    resnext101_32x4d,
+    resnext101_64x4d,
+    resnext152_32x4d,
+    resnext152_64x4d,
+    shufflenet_v2_swish,
+    shufflenet_v2_x0_5,
+    shufflenet_v2_x0_25,
+    shufflenet_v2_x0_33,
+    shufflenet_v2_x1_0,
+    shufflenet_v2_x1_5,
+    shufflenet_v2_x2_0,
+    squeezenet1_0,
+    squeezenet1_1,
+    vgg11,
+    vgg13,
+    vgg16,
+    vgg19,
+    wide_resnet50_2,
+    wide_resnet101_2,
+)
+from .transforms import (  # noqa: F401
+    BaseTransform,
+    BrightnessTransform,
+    CenterCrop,
+    ColorJitter,
+    Compose,
+    ContrastTransform,
+    Grayscale,
+    HueTransform,
+    Normalize,
+    Pad,
+    RandomCrop,
+    RandomHorizontalFlip,
+    RandomResizedCrop,
+    RandomRotation,
+    RandomVerticalFlip,
+    Resize,
+    SaturationTransform,
+    ToTensor,
+    Transpose,
+    adjust_brightness,
+    adjust_contrast,
+    adjust_hue,
+    center_crop,
+    crop,
+    hflip,
+    normalize,
+    pad,
+    resize,
+    rotate,
+    to_grayscale,
+    to_tensor,
+    vflip,
+)
+
+__all__ = ['set_image_backend', 'get_image_backend', 'image_load']