KumaPower

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like 4

• "torchvision.models.resnet.BasicBlock",
• "models.deeplabv3.decoder.ASPPPooling",
• "models.mix_transformer.mix_transformer.Attention",
• "torch.nn.modules.conv.Conv3d",
• "numpy.dtype",
• "models.mix_transformer.mix_transformer.CrossAttention",
• "torch.nn.modules.activation.Softplus",
• "models.deeplabv3.decoder.ASPP",
• "torch.nn.modules.upsampling.UpsamplingBilinear2d",
• "torch.storage._load_from_bytes",
• "torch.nn.modules.linear.Linear",
• "models.deeplabv3.decoder.DeepLabV3Decoder",
• "torch_utils.persistence._reconstruct_persistent_obj",
• "recon.training.reconstructor.triplane_ae.SiLU",
• "recon.volumetric_rendering.ray_sampler.RaySampler_zxc",
• "models.mix_transformer.mix_transformer.OverlapPatchEmbed",
• "torch.nn.modules.container.Sequential",
• "models.mix_transformer.mix_transformer.BlockCross",
• "training_avatar_texture.volumetric_rendering.ray_marcher.MipRayMarcher2",
• "torch.nn.modules.container.ModuleList",
• "torch.nn.modules.activation.ReLU",
• "collections.OrderedDict",
• "torch.nn.modules.activation.GELU",
• "torch.nn.modules.activation.LeakyReLU",
• "models.mix_transformer.mix_transformer.Block",
• "segmentation_models_pytorch.encoders.resnet.ResNetEncoder",
• "torch.nn.modules.pooling.MaxPool2d",
• "dnnlib.util.EasyDict",
• "torch.nn.modules.linear.Identity",
• "torch.nn.modules.module.Module",
• "torch.nn.modules.normalization.LayerNorm",
• "recon.training.generator.triplane_v20_original.OSGDecoder",
• "numpy.core.multiarray.scalar",
• "recon.training.reconstructor.triplane_ae.ResBlock",
• "recon.training.reconstructor.triplane_ae.SamePadConv3d",
• "models.mix_transformer.mix_transformer.DWConv",
• "torch.nn.modules.pooling.AdaptiveAvgPool2d",
• "torch.nn.modules.pixelshuffle.PixelShuffle",
• "recon.training.reconstructor.triplane_ae.Encoder",
• "torch._utils._rebuild_tensor_v2",
• "torch.nn.modules.normalization.GroupNorm",
• "recon.volumetric_rendering.renderer.ImportanceRenderer_bsMotion",
• "recon.training.reconstructor.triplane_reconstruct_gallery.EncoderTriplane",
• "torch.nn.modules.conv.Conv2d",
• "torch._utils._rebuild_parameter",
• "models.deeplabv3.decoder.ASPPConv",
• "torch.nn.modules.dropout.Dropout",
• "models.mix_transformer.mix_transformer.Mlp"

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