Comments (6)
Lyken17
commented on July 18, 2024
Looks like a network issue. Can you try to install it again?
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InstantWindy
commented on July 18, 2024
I try it again,but it still appears same error.
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Lyken17
commented on July 18, 2024
Where is your physical location? If mainland China, it is very likely that pip suffers from packet loss. Have you tried any proxy?
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Lyken17
commented on July 18, 2024
In any case, if pip continues to fail, you can clone the project and install by python setup.py install.
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InstantWindy
commented on July 18, 2024
Yeah ,it works .thanks!Is InstanceNorm2d the same as BatchNorm2d? Is AdaptiveAvgPool2d the same as AvgPool2d? Is Sigmoid the same as Softmax?
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Lyken17
commented on July 18, 2024
InstanceNorm2d is not exactly the same as BatchNorm2d, I will add one later.
AvgPool2d with proper parameters is the same as AdaptiveAvgPool2d.
Please refer to PyTorch documentation for the layer details.
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Related Issues (20)
- question about the MACs of nn.BatchNorm2d
- got 0 ops for nn.MultiheadAttention HOT 7
- Count flops by a range
- thop/profile.py:12: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. `if LooseVersion(torch.__version__) < LooseVersion("1.0.0"):` HOT 2
- Does MACs and FLOPs count correctly for and INT8 quantized model? HOT 1
- Upload sdist to PyPI HOT 1
- Problem in bert HOT 1
- multiple inputs HOT 1
- Is the latest version calculate MACs or FLOPs HOT 2
- RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu!
- How to calculate the FLOPs of each type of layers?
- How to exclude flops of 1st input? HOT 1
- Incorrect macs without specifying batch size for conv layers
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- Is thop also effective for calculating Flops for spiking neural networks?
- rename calculate_conv2d_flops HOT 1
- thop calculates torch.nn module params incorrectly HOT 1
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- count_normalization is only correct for batch_norm. wrong flops count for layernorm HOT 1
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