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- paddle
  - Overview
  - abs
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  - add
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- paddle.amp
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  - grad_scaler
    - GradScaler
- paddle.callbacks
- paddle.compat
- paddle.distributed
  - collective
    - all_gather
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  - entry_attr
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  - fleet
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        MultiSlotDataGenerator
        
        MultiSlotStringDataGenerator
    - dataset
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    - meta_optimizers
      - sharding_optimizer
        
        ShardingOptimizer
    - metrics
      - metric
        
        acc
        
        auc
        
        mae
        
        max
        
        min
        
        mse
        
        rmse
        
        sum
    - utils
      - fs
        
        HDFSClient
        
        LocalFS
  - parallel
  - ParallelEnv
  - spawn
- paddle.distribution
- paddle.fluid
- paddle.framework
  - framework
    - get_default_dtype
    - set_default_dtype
- paddle.jit
- paddle.metric
  - Accuracy
  - accuracy
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- paddle.nn
  - AdaptiveAvgPool1D
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  - AdaptiveMaxPool1D
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  - AlphaDropout
  - AvgPool1D
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  - BatchNorm
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  - BatchNorm2D
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  - BCELoss
  - BCEWithLogitsLoss
  - BeamSearchDecoder
  - Bilinear
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  - ClipGradByGlobalNorm
  - ClipGradByNorm
  - ClipGradByValue
  - Conv1D
  - Conv1DTranspose
  - Conv2D
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  - Conv3D
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  - CosineSimilarity
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  - CTCLoss
  - Dropout
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  - dynamic_decode
  - ELU
  - Embedding
  - Flatten
  - functional
    - adaptive_avg_pool1d
    - adaptive_avg_pool2d
    - adaptive_avg_pool3d
    - adaptive_max_pool1d
    - adaptive_max_pool2d
    - adaptive_max_pool3d
    - affine_grid
    - alpha_dropout
    - avg_pool1d
    - avg_pool2d
    - avg_pool3d
    - batch_norm
    - bilinear
    - binary_cross_entropy
    - binary_cross_entropy_with_logits
    - conv1d
    - conv1d_transpose
    - conv2d
    - conv2d_transpose
    - conv3d
    - conv3d_transpose
    - cosine_similarity
    - cross_entropy
    - ctc_loss
    - diag_embed
    - dice_loss
    - dropout
    - dropout2d
    - dropout3d
    - elu
    - elu_
    - embedding
    - gather_tree
    - gelu
    - grid_sample
    - hardshrink
    - hardsigmoid
    - hardswish
    - hardtanh
    - hsigmoid_loss
    - instance_norm
    - interpolate
    - kl_div
    - l1_loss
    - label_smooth
    - layer_norm
    - leaky_relu
    - linear
    - local_response_norm
    - log_loss
    - log_sigmoid
    - log_softmax
    - margin_ranking_loss
    - max_pool1d
    - max_pool2d
    - max_pool3d
    - maxout
    - mse_loss
    - nll_loss
    - normalize
    - npair_loss
    - one_hot
    - pad
    - pixel_shuffle
    - prelu
    - relu
    - relu6
    - relu_
    - selu
    - sigmoid
    - sigmoid_focal_loss
    - smooth_l1_loss
    - softmax
    - softmax_
    - softmax_with_cross_entropy
    - softplus
    - softshrink
    - softsign
    - square_error_cost
    - swish
    - tanhshrink
    - temporal_shift
    - thresholded_relu
    - unfold
    - upsample
  - GELU
  - GroupNorm
  - GRU
  - GRUCell
  - Hardshrink
  - Hardsigmoid
  - Hardswish
  - Hardtanh
  - HSigmoidLoss
  - initializer
  - InstanceNorm1D
  - InstanceNorm2D
  - InstanceNorm3D
  - KLDivLoss
  - L1Loss
  - Layer
  - LayerList
  - LayerNorm
  - LeakyReLU
  - Linear
  - LocalResponseNorm
  - LogSigmoid
  - LogSoftmax
  - LSTM
  - LSTMCell
  - MarginRankingLoss
  - Maxout
  - MaxPool1D
  - MaxPool2D
  - MaxPool3D
  - MSELoss
  - MultiHeadAttention
  - NLLLoss
  - Pad1D
  - Pad2D
  - Pad3D
  - PairwiseDistance
  - ParameterList
  - PixelShuffle
  - PReLU
  - ReLU
  - ReLU6
  - RNN
  - RNNCellBase
  - SELU
  - Sequential
  - Sigmoid
  - SimpleRNN
  - SimpleRNNCell
  - SmoothL1Loss
  - Softmax
  - Softplus
  - Softshrink
  - Softsign
  - SpectralNorm
  - Swish
  - SyncBatchNorm
  - Tanh
  - Tanhshrink
  - ThresholdedReLU
  - Transformer
  - TransformerDecoder
  - TransformerDecoderLayer
  - TransformerEncoder
  - TransformerEncoderLayer
  - Upsample
  - UpsamplingBilinear2D
  - UpsamplingNearest2D
  - utils
    - remove_weight_norm
    - weight_norm
- paddle.onnx
  - export
- paddle.optimizer
  - Adadelta
  - Adagrad
  - Adam
  - Adamax
  - AdamW
  - Lamb
  - lr
  - Momentum
  - Optimizer
  - RMSProp
  - SGD
- paddle.regularizer
  - L1Decay
  - L2Decay
- paddle.static
- paddle.sysconfig
  - get_include
  - get_lib
- paddle.tensor
  - to_string
    - set_printoptions
- paddle.text
  - datasets
    - Conll05st
    - Imdb
    - Imikolov
    - Movielens
    - UCIHousing
    - WMT14
    - WMT16
- paddle.utils
- paddle.vision
  - datasets
    - Cifar10
    - Cifar100
    - DatasetFolder
    - FashionMNIST
    - Flowers
    - ImageFolder
    - MNIST
    - VOC2012
  - get_image_backend
  - image_load
  - models
    - LeNet
    - mobilenet_v1
    - mobilenet_v2
    - MobileNetV1
    - MobileNetV2
    - ResNet
    - resnet101
    - resnet152
    - resnet18
    - resnet34
    - resnet50
    - VGG
    - vgg11
    - vgg13
    - vgg16
    - vgg19
  - ops
  - set_image_backend
  - transforms
    - adjust_brightness
    - adjust_contrast
    - adjust_hue
    - BaseTransform
    - BrightnessTransform
    - center_crop
    - CenterCrop
    - ColorJitter
    - Compose
    - ContrastTransform
    - crop
    - Grayscale
    - hflip
    - HueTransform
    - Normalize
    - normalize
    - Pad
    - pad
    - RandomCrop
    - RandomHorizontalFli
    - RandomResizedCrop
    - RandomRotation
    - RandomVerticalFlip
    - Resize
    - resize
    - rotate
    - SaturationTransform
    - to_grayscale
    - to_tensor
    - ToTensor
    - Transpose
    - vflip
2.0.0 Release Note

Inference API¶

Class Hierarchy¶

File Hierarchy¶

Full API¶