基本方法
print(model)
print(type(model))
numEl_list = [p.numel() for p in model.parameters()]
total_params_mb = sum(numEl_list) / 1e6print(f'Total parameters: {total_params_mb:.2f} MB')
print(sum(numEl_list))
print(numEl_list)

def get_param_count(model):return sum(p.numel() for p in model.parameters() if p.requires_grad)param_count = get_param_count(model)
print(f"Model Parameter Count: {param_count}")
def print_layer_params_count(model):for name, param in model.named_parameters():if param.requires_grad:print(f"{name} : {param.numel()}")print(f"{name} : {param.shape}")print_layer_params_count(model)

使用Pytorch中的torchsummary包
from torchsummary import summary
summary(model, input_size=(1, 1, 128, 128, 32))

使用第三方库torchinfo
from torchinfo import summary
summary(model, input_size=(1, 1, 128, 128, 32))
