Comments (4)
Lyken17
commented on July 18, 2024
Do you mean to profile a same model for multiple times? This feature is already added in https://github.com/Lyken17/pytorch-OpCounter/blob/master/thop/profile.py#L104.
Upgrading to latest version (either Github / PyPi) should allow you to do so.
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fengyuentau
commented on July 18, 2024
@Lyken17 Yes. I installed this repo through pip several days ago, while it is updated 3 days ago. Kind of award, lol.
However, I adjusted this repo a lot to fit my need. Will it work if I just add the new lines from the link you offer?
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Lyken17
commented on July 18, 2024
You can check the changes made by a62e93d and d797440.
Between, can you share the parts modified to fit your case? THOP aims to be a general framework that everyone can use it with smallest touch to internal codes.
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fengyuentau
commented on July 18, 2024
@Lyken17 Thanks a lot for your help. I will consider if I can make a pull request once I have done my project. Closing issue.
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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
- will torch.matmul regards as zero_ops ?
- 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
- RuntimeError: Can't add a new parameter
- count_normalization is only correct for batch_norm. wrong flops count for layernorm HOT 1
- Res add will be included when evaluate Resnet's OPs ? HOT 1
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