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fix: minor fix from last PR regarding py3.12 upgrades #85

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Merged
chichun-charlie-liu merged 1 commit into from
Apr 1, 2025
Merged

fix: minor fix from last PR regarding py3.12 upgrades #85

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13 changes: 7 additions & 6 deletions README.md
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Expand Up @@ -36,9 +36,7 @@ FMS Model Optimizer is a framework for developing reduced precision neural netwo
### Requirements

1. **🐧 Linux system with Nvidia GPU (V100/A100/H100)**
2. Python 3.9 to Python 3.11

📋 Python 3.12 is currently not supported due to PyTorch Dynamo constraint
2. Python 3.10 to Python 3.12
3. CUDA >=12

*Optional packages based on optimization functionality required:*
Expand All @@ -47,9 +45,12 @@ FMS Model Optimizer is a framework for developing reduced precision neural netwo
- [auto_gptq](https://pypi.org/project/auto-gptq/) or build from [source](https://github.com/AutoGPTQ/AutoGPTQ)
- If you want to experiment with **INT8** deployment in [QAT](./examples/QAT_INT8/) and [PTQ](./examples/PTQ_INT8/) examples:
- Nvidia GPU with compute capability > 8.0 (A100 family or higher)
- [Ninja](https://ninja-build.org/)
- Clone the [CUTLASS](https://github.com/NVIDIA/cutlass) repository
- `PyTorch 2.3.1` (as newer version will cause issue for the custom CUDA kernel used in these examples)
- Option 1:
- [Ninja](https://ninja-build.org/)
- Clone the [CUTLASS](https://github.com/NVIDIA/cutlass) repository
- `PyTorch 2.3.1` (as newer version will cause issue for the custom CUDA kernel used in these examples)
- Option 2:
- use triton kernel included. But this kernel is currently not faster than FP16.
- **FP8** is a reduced precision format like **INT8**:
- Nvidia A100 family or higher
- [llm-compressor](https://github.com/vllm-project/llm-compressor)
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2 changes: 1 addition & 1 deletion tox.ini
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Expand Up @@ -91,6 +91,6 @@ commands =

[gh]
python =
3.11 = 3.12-{unitcov}
3.12 = 3.12-{unitcov}
3.11 = 3.11-{unitcov}
3.10 = 3.10-{unitcov}