Comments (2)
Lyken17
commented on July 18, 2024
ensure you are running the latest version of pytorch and thop.
In [1]: import torch
In [2]: torch.__version__
Out[2]: '1.0.0'
In [3]: a = torch.randn(3, 10)
In [4]: b = a.size()
In [5]: b.numel()
Out[5]: 30
In [6]: b[1:].numel()
Out[6]: 10from pytorch-opcounter.
Jiangchitang
commented on July 18, 2024
It's done,thanks!
from pytorch-opcounter.
Related Issues (20)
- 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
- Source distribution (sdist) and Git tags
- I got different results using thop and torchinfo HOT 1
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