remove the dependency on AutoGPTQ for CPU and bump to V0.4.3 (#380)

Signed-off-by: Sun, Xuehao <[email protected]>
Co-authored-by: Wenhua Cheng <[email protected]>

Author: XuehaoSun

.azure-pipelines/template/ut-template.yml

@@ -35,15 +35,14 @@ steps:
   - ${{ if eq(parameters.imageSource, 'build') }}:
     - script: |
         docker exec ${{ parameters.utContainerName }} bash -c "cd /auto-round \
-          && pip install -r requirements.txt \
-          && pip install -vvv --no-build-isolation .[cpu] \
+          && pip install -vvv --no-build-isolation . \
           && pip list"
       displayName: "Env Setup"
 
   - ${{ if eq(parameters.imageSource, 'pull') }}:
     - script: |
         docker exec ${{ parameters.utContainerName }} bash -c "cd /auto-round \
-          && pip install -vvv --no-build-isolation .[hpu] \
+          && pip install -vvv --no-build-isolation . \
           && pip list"
       displayName: "HPU Env Setup"
 

MANIFEST.in

@@ -1 +1,3 @@
-include requirements.txt
+include requirements.txt
+include requirements-cpu.txt
+include requirements-hpu.txt

README.md

@@ -5,7 +5,7 @@ AutoRound
 <h3> Advanced Quantization Algorithm for LLMs</h3>
 
 [![python](https://img.shields.io/badge/python-3.9%2B-blue)](https://github.com/intel/auto-round)
-[![version](https://img.shields.io/badge/release-0.4.2-green)](https://github.com/intel/auto-round)
+[![version](https://img.shields.io/badge/release-0.4.3-green)](https://github.com/intel/auto-round)
 [![license](https://img.shields.io/badge/license-Apache%202-blue)](https://github.com/intel/auto-round/blob/main/LICENSE)
 ---
 <div align="left">
@@ -47,30 +47,14 @@ details and quantized models in several Hugging Face Spaces, e.g. [OPEA](https:/
 ### Install from pypi
 
 ```bash
-# GPU
 pip install auto-round
-
-# CPU
-pip install auto-round[cpu]
-
-# HPU
-pip install auto-round[hpu]
 ```
 
 <details>
   <summary>Build from Source</summary>
 
   ```bash
-  pip install -r requirements.txt
-
-  # GPU
-  pip install -vvv --no-build-isolation -e .
-
-  # CPU
-  pip install -vvv --no-build-isolation -e .[cpu]
-
-  # HPU
-  pip install -vvv --no-build-isolation -e .[hpu]
+  pip install -vvv --no-build-isolation .
   ```
 
 </details>

auto_round/version.py

@@ -14,4 +14,4 @@
 """Intel® auto-round: An open-source Python library
 supporting popular model weight only compression based on signround."""
 
-__version__ = "0.4.2"
+__version__ = "0.4.3"

requirements-cpu.txt

@@ -9,7 +9,6 @@ threadpoolctl
 lm-eval>=0.4.2,<0.5
 tqdm
 packaging
-auto-gptq>=0.7.1
 pillow
 numba
 tbb

setup.py

@@ -25,6 +25,7 @@
 
 def is_cuda_available():
     try:
+        os.system("pip install torch")
         import torch
 
         return torch.cuda.is_available()
@@ -111,6 +112,15 @@ def detect_local_sm_architectures():
     return arch_list
 
 
+def detect_hardware():
+    if is_hpu_available():
+        return "requirements-hpu.txt"
+    elif is_cuda_available():
+        return "requirements.txt"
+    else:
+        return "requirements-cpu.txt"
+
+
 UNSUPPORTED_COMPUTE_CAPABILITIES = ['3.5', '3.7', '5.0', '5.2', '5.3']
 
 if BUILD_CUDA_EXT:
@@ -219,11 +229,7 @@ def detect_local_sm_architectures():
             "auto_round_extension.*",
         ],
     ),
-    "install_requires": fetch_requirements("requirements.txt"),
-    "extras_require": {
-        "hpu": fetch_requirements("requirements-hpu.txt"),
-        "cpu": fetch_requirements("requirements-cpu.txt"),
-    },
+    "install_requires": fetch_requirements(detect_hardware()),
 }
 
 if __name__ == "__main__":
@@ -248,7 +254,6 @@ def detect_local_sm_architectures():
         url="https://github.com/intel/auto-round",
         packages=include_packages,
         include_dirs=include_dirs,
-        ##include_package_data=False,
         install_requires=install_requires,
         extras_require=extras_require,
         python_requires=">=3.7.0",