python
for (name, param), (key, value) in zip(network.named_parameters(),network.state_dict().items()):
print(f"{name} Tensor size: {param.size()} {key} Tensor size: {value.size()}")
print("\nParameter details:")
State_dict keys:
patch_embed.conv_down.0.weight Tensor size: torch.Size([64, 3, 3, 3])
patch_embed.conv_down.1.weight Tensor size: torch.Size([64])
Parameter details: patch_embed.conv_down.1.bias Tensor size: torch.Size([64])