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请问为什么我在您提供的ghostnetv2的源码中使用summary方法测量模型大小得到的params是19.51m 我使用的代码是 model = ghostnetv2(num_classes=1, width=1.0, dropout=0.2, args=None) # 模拟输入数据 (batch_size=1, channels=3, height=224, width=224) input_tensor = torch.randn(1, 3, 224, 224)
# 使用 torchinfo 来打印模型摘要 summary(model, input_data=input_tensor)
The text was updated successfully, but these errors were encountered:
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请问为什么我在您提供的ghostnetv2的源码中使用summary方法测量模型大小得到的params是19.51m 我使用的代码是
model = ghostnetv2(num_classes=1, width=1.0, dropout=0.2, args=None)
# 模拟输入数据 (batch_size=1, channels=3, height=224, width=224)
input_tensor = torch.randn(1, 3, 224, 224)
The text was updated successfully, but these errors were encountered: