# ascending order
# activation <- __t_ops order, ascending
// losses
/// binary_cross_entropy
BCELoss
BCEWithLogitsLoss
/// corss_entropy
CrossEntropyLoss
/// huber
HuberLoss
/// mae
MAELoss
/// mse
MSELoss
/// nll
NLLLoss
// modules
/// activation
ReLU
Sigmoid
Tanh
Gelu
Softplus
LeakyReLU
ELU
/// conv
Conv1D
Conv2D
Conv3D
ConvTranspose1D
ConvTranspose2D
ConvTranspose3D
/// dropout
Dropout
/// embedding
Embedding
/// linear
Linear
/// norm
BatchNorm1D
BatchNorm2D
BatchNorm3D
LayerNorm
/// pooling
AdaptiveAvgPool1D
AdaptiveAvgPool2D
AdaptiveAvgPool3D
AdaptiveMaxPool1D
AdaptiveMaxPool2D
AdaptiveMaxPool3D
AvgPool1D
AvgPool2D
AvgPool3D
MaxPool1D
MaxPool2D
MaxPool3D
// optimizers
/// adam
Adam
AdamW
/// sgd
SGD