[Minor] require torch>=2.0.0

README.md

@@ -49,7 +49,7 @@ pip install -e .
 * For **edge devices** like Orin, before running the commands above, please:
 
     1. Modify [pyproject.toml](pyproject.toml) by commenting out [this line](https://github.com/mit-han-lab/llm-awq/blob/3fce69061682fdd528824e5da3d03a8a8b545f2a/pyproject.toml#L17).
-    2. Manually install precompiled PyTorch binaries from [NVIDIA](https://forums.developer.nvidia.com/t/pytorch-for-jetson/72048).
+    2. Manually install precompiled PyTorch binaries (>=2.0.0) from [NVIDIA](https://forums.developer.nvidia.com/t/pytorch-for-jetson/72048).
     3. Set the appropriate Python version for conda environment (e.g., `conda create -n awq python=3.8 -y` for JetPack 5).
   
 3. Install efficient W4A16 (4-bit weight, 16-bit activation) CUDA kernel and optimized FP16 kernels (e.g. layernorm, positional encodings).

pyproject.toml

@@ -14,7 +14,7 @@ classifiers = [
 ]
 dependencies = [
     "accelerate", "sentencepiece", "tokenizers>=0.12.1",
-    "torch", "torchvision", 
+    "torch>=2.0.0", "torchvision", 
     "transformers>=4.31.0", 
     "lm_eval", "texttable",
     "toml", "attributedict",