# MrYxJ/calculate-flops.pytorch

<https://repo.masters-masters.com/en/repos/MrYxJ/calculate-flops.pytorch>

[Home](https://repo.masters-masters.com/en) › [MrYxJ](https://repo.masters-masters.com/en/owners/MrYxJ) › [calculate-flops.pytorch](https://repo.masters-masters.com/en/repos/MrYxJ/calculate-flops.pytorch)

MrYxJ/calculate-flops.pytorch has 947 stars on GitHub. Its RepoMasters card: Beta tier. The calflops is designed to calculate FLOPs、MACs and Parameters in all…

| Field | Value |
| --- | --- |
| Owner | [MrYxJ](https://repo.masters-masters.com/en/owners/MrYxJ) |
| Stars | 947 |
| Forks | 44 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2023 |
| Topics | flops-counter, large-language-models, pytorch, calflops |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [MrYxJ/calculate-flops.pytorch](https://github.com/MrYxJ/calculate-flops.pytorch) |

## Repository

The calflops is designed to calculate FLOPs、MACs and Parameters in all various neural networks, such as Linear、 CNN、 RNN、 GCN、Transformer(Bert、LlaMA etc Large Language Model)

The tier for repos with 700 to 1,999 ★. Published odds per card pulled: 6%. Rarity: Rare.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.