TRELLIS-Scene / sft_ss_vae_64 /encoder_model_summary.txt
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Parameters:
================================================================================================================================
Name Shape Type Grad
input_layer.weight torch.Size([32, 1, 3, 3, 3]) torch.float32 True
input_layer.bias torch.Size([32]) torch.float32 True
blocks.0.norm1.weight torch.Size([32]) torch.float32 True
blocks.0.norm1.bias torch.Size([32]) torch.float32 True
blocks.0.norm2.weight torch.Size([32]) torch.float32 True
blocks.0.norm2.bias torch.Size([32]) torch.float32 True
blocks.0.conv1.weight torch.Size([32, 32, 3, 3, 3]) torch.float16 True
blocks.0.conv1.bias torch.Size([32]) torch.float16 True
blocks.0.conv2.weight torch.Size([32, 32, 3, 3, 3]) torch.float16 True
blocks.0.conv2.bias torch.Size([32]) torch.float16 True
blocks.1.norm1.weight torch.Size([32]) torch.float32 True
blocks.1.norm1.bias torch.Size([32]) torch.float32 True
blocks.1.norm2.weight torch.Size([32]) torch.float32 True
blocks.1.norm2.bias torch.Size([32]) torch.float32 True
blocks.1.conv1.weight torch.Size([32, 32, 3, 3, 3]) torch.float16 True
blocks.1.conv1.bias torch.Size([32]) torch.float16 True
blocks.1.conv2.weight torch.Size([32, 32, 3, 3, 3]) torch.float16 True
blocks.1.conv2.bias torch.Size([32]) torch.float16 True
blocks.2.conv.weight torch.Size([128, 32, 2, 2, 2]) torch.float16 True
blocks.2.conv.bias torch.Size([128]) torch.float16 True
blocks.3.norm1.weight torch.Size([128]) torch.float32 True
blocks.3.norm1.bias torch.Size([128]) torch.float32 True
blocks.3.norm2.weight torch.Size([128]) torch.float32 True
blocks.3.norm2.bias torch.Size([128]) torch.float32 True
blocks.3.conv1.weight torch.Size([128, 128, 3, 3, 3]) torch.float16 True
blocks.3.conv1.bias torch.Size([128]) torch.float16 True
blocks.3.conv2.weight torch.Size([128, 128, 3, 3, 3]) torch.float16 True
blocks.3.conv2.bias torch.Size([128]) torch.float16 True
blocks.4.norm1.weight torch.Size([128]) torch.float32 True
blocks.4.norm1.bias torch.Size([128]) torch.float32 True
blocks.4.norm2.weight torch.Size([128]) torch.float32 True
blocks.4.norm2.bias torch.Size([128]) torch.float32 True
blocks.4.conv1.weight torch.Size([128, 128, 3, 3, 3]) torch.float16 True
blocks.4.conv1.bias torch.Size([128]) torch.float16 True
blocks.4.conv2.weight torch.Size([128, 128, 3, 3, 3]) torch.float16 True
blocks.4.conv2.bias torch.Size([128]) torch.float16 True
blocks.5.conv.weight torch.Size([512, 128, 2, 2, 2]) torch.float16 True
blocks.5.conv.bias torch.Size([512]) torch.float16 True
blocks.6.norm1.weight torch.Size([512]) torch.float32 True
blocks.6.norm1.bias torch.Size([512]) torch.float32 True
blocks.6.norm2.weight torch.Size([512]) torch.float32 True
blocks.6.norm2.bias torch.Size([512]) torch.float32 True
blocks.6.conv1.weight torch.Size([512, 512, 3, 3, 3]) torch.float16 True
blocks.6.conv1.bias torch.Size([512]) torch.float16 True
blocks.6.conv2.weight torch.Size([512, 512, 3, 3, 3]) torch.float16 True
blocks.6.conv2.bias torch.Size([512]) torch.float16 True
blocks.7.norm1.weight torch.Size([512]) torch.float32 True
blocks.7.norm1.bias torch.Size([512]) torch.float32 True
blocks.7.norm2.weight torch.Size([512]) torch.float32 True
blocks.7.norm2.bias torch.Size([512]) torch.float32 True
blocks.7.conv1.weight torch.Size([512, 512, 3, 3, 3]) torch.float16 True
blocks.7.conv1.bias torch.Size([512]) torch.float16 True
blocks.7.conv2.weight torch.Size([512, 512, 3, 3, 3]) torch.float16 True
blocks.7.conv2.bias torch.Size([512]) torch.float16 True
middle_block.0.norm1.weight torch.Size([512]) torch.float32 True
middle_block.0.norm1.bias torch.Size([512]) torch.float32 True
middle_block.0.norm2.weight torch.Size([512]) torch.float32 True
middle_block.0.norm2.bias torch.Size([512]) torch.float32 True
middle_block.0.conv1.weight torch.Size([512, 512, 3, 3, 3]) torch.float16 True
middle_block.0.conv1.bias torch.Size([512]) torch.float16 True
middle_block.0.conv2.weight torch.Size([512, 512, 3, 3, 3]) torch.float16 True
middle_block.0.conv2.bias torch.Size([512]) torch.float16 True
middle_block.1.norm1.weight torch.Size([512]) torch.float32 True
middle_block.1.norm1.bias torch.Size([512]) torch.float32 True
middle_block.1.norm2.weight torch.Size([512]) torch.float32 True
middle_block.1.norm2.bias torch.Size([512]) torch.float32 True
middle_block.1.conv1.weight torch.Size([512, 512, 3, 3, 3]) torch.float16 True
middle_block.1.conv1.bias torch.Size([512]) torch.float16 True
middle_block.1.conv2.weight torch.Size([512, 512, 3, 3, 3]) torch.float16 True
middle_block.1.conv2.bias torch.Size([512]) torch.float16 True
out_layer.0.weight torch.Size([512]) torch.float32 True
out_layer.0.bias torch.Size([512]) torch.float32 True
out_layer.2.weight torch.Size([16, 512, 3, 3, 3]) torch.float32 True
out_layer.2.bias torch.Size([16]) torch.float32 True
Number of parameters: 59298192
Number of trainable parameters: 59298192