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- jittor
- jittor.nn
BCELoss
BCEWithLogitsLoss
BatchNorm
BatchNorm1d
BatchNorm2d
BatchNorm3d
Bilinear
ConstantPad2d
Conv
Conv1d
Conv1d_sp
Conv2d
ConvTranspose
ConvTranspose2d
ConvTranspose3d
CrossEntropyLoss
DropPath
Dropout
Dropout2d
ELU
Embedding
Flatten
GRU
GRUCell
GroupNorm
Identity
InstanceNorm
InstanceNorm1d
InstanceNorm2d
InstanceNorm3d
KLDivLoss
L1Loss
LSTM
LSTMCell
LayerNorm
LayerNorm1d
LayerNorm2d
LayerNorm3d
Linear
MSELoss
Mish
ModuleList
PReLU
Parameter()
ParameterDict
PixelShuffle
RNN
RNNBase
RNNCell
ReflectionPad2d
ReplicationPad2d
Resize
Sequential
Sigmoid
Softplus
Tanh
Upsample
UpsamplingBilinear2d
UpsamplingNearest2d
ZeroPad2d
affine_grid()
affine_grid_generator_4D()
affine_grid_generator_5D()
backward()
baddbmm()
batch_norm()
bce_loss()
bilinear()
binary_cross_entropy_with_logits()
bmm()
bmm_transpose()
clip_coordinates()
conv()
conv2d()
conv3d()
conv_transpose()
conv_transpose2d()
conv_transpose3d()
cross_entropy_loss()
dropout()
dropout2d()
droppath()
elu()
embedding()
fold()
fp32_guard()
gelu()
get_init_var_rand()
grid_sample()
grid_sample_v0()
grid_sampler()
grid_sampler_2d()
grid_sampler_3d()
grid_sampler_compute_source_index()
grid_sampler_unnormalize()
group_norm()
hardtanh()
identity()
instance_norm()
interpolate()
l1_loss()
layer_norm()
leaky_relu()
linear()
linspace_from_neg_one()
log_sigmoid()
log_softmax()
logsumexp()
make_base_grid_4D()
make_base_grid_5D()
matmul()
matmul_transpose()
mish()
mse_loss()
nll_loss()
one_hot()
pad()
reflect_coordinates()
relu()
relu6()
resize()
sign()
silu()
skip_init()
smooth_l1_loss()
softmax()
softplus()
unfold()
upsample()
AdaptiveAvgPool2d
AdaptiveAvgPool3d
AdaptiveMaxPool2d
AdaptiveMaxPool2d
AvgPool2d
AvgPool3d
MaxPool2d
MaxPool3d
MaxUnpool2d
MaxUnpool3d
Pool
Pool3d
avg_pool2d()
max_pool2d()
max_pool3d()
pool()
pool3d()
ComplexNumber
- jittor.models
AlexNet
DenseNet
GoogLeNet
Inception3
MNASNet
MobileNetV2
ResNet
Resnet101()
Resnet152()
Resnet18()
Resnet26()
Resnet34()
Resnet38()
Resnet50()
Resnext101_32x8d()
Resnext50_32x4d()
ShuffleNetV2
SqueezeNet
VGG
Wide_resnet101_2()
Wide_resnet50_2()
alexnet()
densenet121()
densenet161()
densenet169()
densenet201()
googlenet()
inception_v3()
mnasnet0_5()
mnasnet0_75()
mnasnet1_0()
mnasnet1_3()
mobilenet_v2()
res2net101()
res2net50()
resnet101()
resnet152()
resnet18()
resnet26()
resnet34()
resnet38()
resnet50()
resnext101_32x8d()
resnext50_32x4d()
shufflenet_v2_x0_5()
shufflenet_v2_x1_0()
shufflenet_v2_x1_5()
shufflenet_v2_x2_0()
squeezenet1_0()
squeezenet1_1()
vgg11()
vgg11_bn()
vgg13()
vgg13_bn()
vgg16()
vgg16_bn()
vgg19()
vgg19_bn()
wide_resnet101_2()
wide_resnet50_2()
- jittor.optim
- jittor.init
calculate_gain()
calculate_std()
constant()
constant_()
eye()
eye_()
fill()
gauss()
gauss_()
invariant_uniform()
invariant_uniform_()
kaiming_normal_()
kaiming_uniform_()
one()
one_()
random_()
relu_invariant_gauss()
relu_invariant_gauss_()
trunc_normal_()
uniform()
uniform_()
xavier_gauss()
xavier_gauss_()
xavier_uniform()
xavier_uniform_()
zero()
zero_()
- jittor.contrib
- jittor.dataset
- jittor.transform
CenterCrop
ColorJitter
Compose
Crop
FiveCrop
Gray
ImageNormalize
Lambda
RandomAffine
RandomApply
RandomChoice
RandomCrop
RandomCropAndResize
RandomGray
RandomHorizontalFlip
RandomOrder
RandomPerspective
RandomResizedCrop
RandomRotation
RandomSizedCrop
RandomVerticalFlip
Resize
TenCrop
ToPILImage
ToTensor
adjust_brightness()
adjust_contrast()
adjust_gamma()
adjust_hue()
adjust_saturation()
center_crop()
crop()
crop_and_resize()
gray()
hflip()
image_normalize()
pil_to_tensor()
resize()
to_pil_image()
to_tensor()
vflip()
- jittor.mpi
- jittor.linalg
- jittor.console
- jittor.distributions
- jittor.attention
- jittor.einops
- jittor.sparse
- jittor.weightnorm