Comments (1)
I am a programmer, not a magician. Without a detailed description, I cannot know what the problem you met.
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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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