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Update setup.py UX responses and module checks with helpful messaging #277

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255 changes: 155 additions & 100 deletions setup.py
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Original file line number Diff line number Diff line change
@@ -1,104 +1,159 @@
import sys
import importlib
import os
from setuptools import setup, Extension
from torch.utils import cpp_extension
from torch import version as torch_version
import os

extension_name = "exllamav2_ext"
verbose = False
ext_debug = False

precompile = 'EXLLAMA_NOCOMPILE' not in os.environ

windows = (os.name == "nt")

extra_cflags = ["/Ox"] if windows else ["-O3"]

if ext_debug:
extra_cflags += ["-ftime-report", "-DTORCH_USE_CUDA_DSA"]

extra_cuda_cflags = ["-lineinfo", "-O3"]

if torch_version.hip:
extra_cuda_cflags += ["-DHIPBLAS_USE_HIP_HALF"]

extra_compile_args = {
"cxx": extra_cflags,
"nvcc": extra_cuda_cflags,
}

setup_kwargs = {
"ext_modules": [
cpp_extension.CUDAExtension(
extension_name,
[
"exllamav2/exllamav2_ext/ext.cpp",
"exllamav2/exllamav2_ext/cuda/h_gemm.cu",
"exllamav2/exllamav2_ext/cuda/lora.cu",
"exllamav2/exllamav2_ext/cuda/pack_tensor.cu",
"exllamav2/exllamav2_ext/cuda/quantize.cu",
"exllamav2/exllamav2_ext/cuda/q_matrix.cu",
"exllamav2/exllamav2_ext/cuda/q_attn.cu",
"exllamav2/exllamav2_ext/cuda/q_mlp.cu",
"exllamav2/exllamav2_ext/cuda/q_gemm.cu",
"exllamav2/exllamav2_ext/cuda/rms_norm.cu",
"exllamav2/exllamav2_ext/cuda/rope.cu",
"exllamav2/exllamav2_ext/cuda/cache.cu",
"exllamav2/exllamav2_ext/cuda/util.cu",
"exllamav2/exllamav2_ext/cuda/comp_units/kernel_select.cu",
"exllamav2/exllamav2_ext/cuda/comp_units/unit_gptq_1.cu",
"exllamav2/exllamav2_ext/cuda/comp_units/unit_gptq_2.cu",
"exllamav2/exllamav2_ext/cuda/comp_units/unit_gptq_3.cu",
"exllamav2/exllamav2_ext/cuda/comp_units/unit_exl2_1a.cu",
"exllamav2/exllamav2_ext/cuda/comp_units/unit_exl2_1b.cu",
"exllamav2/exllamav2_ext/cuda/comp_units/unit_exl2_2a.cu",
"exllamav2/exllamav2_ext/cuda/comp_units/unit_exl2_2b.cu",
"exllamav2/exllamav2_ext/cuda/comp_units/unit_exl2_3a.cu",
"exllamav2/exllamav2_ext/cuda/comp_units/unit_exl2_3b.cu",
"exllamav2/exllamav2_ext/cpp/quantize_func.cpp",
"exllamav2/exllamav2_ext/cpp/sampling.cpp"
],
extra_compile_args=extra_compile_args,
libraries=["cublas"] if windows else [],
)],
"cmdclass": {"build_ext": cpp_extension.BuildExtension}
} if precompile else {}

version_py = {}
with open("exllamav2/version.py", encoding = "utf8") as fp:
exec(fp.read(), version_py)
version = version_py["__version__"]
print("Version:", version)

# version = "0.0.5"

setup(
name = "exllamav2",
version = version,
packages = [
"exllamav2",
"exllamav2.generator",
# "exllamav2.generator.filters",
# "exllamav2.server",
# "exllamav2.exllamav2_ext",
# "exllamav2.exllamav2_ext.cpp",
# "exllamav2.exllamav2_ext.cuda",
# "exllamav2.exllamav2_ext.cuda.quant",
],
url = "https://github.com/turboderp/exllamav2",
license = "MIT",
author = "turboderp",
install_requires = [
"pandas",
"ninja",
"fastparquet",
"torch>=2.0.1",
"safetensors>=0.3.2",
"sentencepiece>=0.1.97",
"pygments",
"websockets",
"regex"
],
include_package_data = True,
verbose = verbose,
**setup_kwargs,
)
def parse_requirements(install_requires):
return [req.split('>=')[0].strip() for req in install_requires]

install_requires_list = [
"pandas",
"ninja",
"fastparquet",
"torch>=2.0.1",
"safetensors>=0.3.2",
"sentencepiece>=0.1.97",
"pygments",
"websockets",
"regex"
]

required_modules = parse_requirements(install_requires_list)
missing_modules = []

for module in required_modules:
try:
importlib.import_module(module)
except ImportError:
missing_modules.append(module)

if missing_modules:
print("You may have some missing required modules:")
for module in missing_modules:
print(f"- {module}")
print("\nEnsure you have activated a local Python virtual environment and installed the dependencies.")
print("\nTo create and activate a virtual environment, follow these steps:")
print("$ python -m venv exllamav2_env")
print("$ source exllamav2_env/bin/activate # On Windows use `exllamav2_env\\Scripts\\activate`")
print("$ pip install -r requirements.txt")
print("$ python setup.py install")
print("\nCheck the README.md for more information on installation.")
sys.exit(1)
try:
from torch.utils import cpp_extension
from torch import version as torch_version
TORCH_AVAILABLE = True
except ImportError:
TORCH_AVAILABLE = False

if len(sys.argv) == 1:
print("To run the installer you need to enter: python setup.py install --user")
print("Refer to the README for further instructions.")
sys.exit(1)

try:
from setuptools import setup, Extension
SETUPTOOLS_AVAILABLE = True
except ImportError:
SETUPTOOLS_AVAILABLE = False

try:
from torch.utils import cpp_extension
from torch import version as torch_version
TORCH_AVAILABLE = True
except ImportError:
TORCH_AVAILABLE = False

if SETUPTOOLS_AVAILABLE and TORCH_AVAILABLE:
extension_name = "exllamav2_ext"
verbose = False
ext_debug = False

precompile = 'EXLLAMA_NOCOMPILE' not in os.environ
windows = (os.name == "nt")
extra_cflags = ["/Ox"] if windows else ["-O3"]

if ext_debug:
extra_cflags += ["-ftime-report", "-DTORCH_USE_CUDA_DSA"]

extra_cuda_cflags = ["-lineinfo", "-O3"]

if torch_version.hip:
extra_cuda_cflags += ["-DHIPBLAS_USE_HIP_HALF"]

extra_compile_args = {
"cxx": extra_cflags,
"nvcc": extra_cuda_cflags,
}

setup_kwargs = {
"ext_modules": [
cpp_extension.CUDAExtension(
extension_name,
[
"exllamav2/exllamav2_ext/ext.cpp",
"exllamav2/exllamav2_ext/cuda/h_gemm.cu",
"exllamav2/exllamav2_ext/cuda/lora.cu",
"exllamav2/exllamav2_ext/cuda/pack_tensor.cu",
"exllamav2/exllamav2_ext/cuda/quantize.cu",
"exllamav2/exllamav2_ext/cuda/q_matrix.cu",
"exllamav2/exllamav2_ext/cuda/q_attn.cu",
"exllamav2/exllamav2_ext/cuda/q_mlp.cu",
"exllamav2/exllamav2_ext/cuda/q_gemm.cu",
"exllamav2/exllamav2_ext/cuda/rms_norm.cu",
"exllamav2/exllamav2_ext/cuda/rope.cu",
"exllamav2/exllamav2_ext/cuda/cache.cu",
"exllamav2/exllamav2_ext/cuda/util.cu",
"exllamav2/exllamav2_ext/cuda/comp_units/kernel_select.cu",
"exllamav2/exllamav2_ext/cuda/comp_units/unit_gptq_1.cu",
"exllamav2/exllamav2_ext/cuda/comp_units/unit_gptq_2.cu",
"exllamav2/exllamav2_ext/cuda/comp_units/unit_gptq_3.cu",
"exllamav2/exllamav2_ext/cuda/comp_units/unit_exl2_1a.cu",
"exllamav2/exllamav2_ext/cuda/comp_units/unit_exl2_1b.cu",
"exllamav2/exllamav2_ext/cuda/comp_units/unit_exl2_2a.cu",
"exllamav2/exllamav2_ext/cuda/comp_units/unit_exl2_2b.cu",
"exllamav2/exllamav2_ext/cuda/comp_units/unit_exl2_3a.cu",
"exllamav2/exllamav2_ext/cuda/comp_units/unit_exl2_3b.cu",
"exllamav2/exllamav2_ext/cpp/quantize_func.cpp",
"exllamav2/exllamav2_ext/cpp/sampling.cpp"
],
extra_compile_args=extra_compile_args,
libraries=["cublas"] if windows else [],
)],
"cmdclass": {"build_ext": cpp_extension.BuildExtension}
} if precompile else {}

version_py = {}
with open("exllamav2/version.py", encoding="utf8") as fp:
exec(fp.read(), version_py)
version = version_py["__version__"]
print("Version:", version)
setup(
name="exllamav2",
version=version,
packages=[
"exllamav2",
"exllamav2.generator",
# "exllamav2.generator.filters",
# "exllamav2.server",
# "exllamav2.exllamav2_ext",
# "exllamav2.exllamav2_ext.cpp",
# "exllamav2.exllamav2_ext.cuda",
# "exllamav2.exllamav2_ext.cuda.quant",
],
url="https://github.com/turboderp/exllamav2",
license="MIT",
author="turboderp",
install_requires=install_requires_list,
include_package_data=True,
verbose=verbose,
**setup_kwargs,
)
else:
if not SETUPTOOLS_AVAILABLE:
print("Setuptools is required but not installed.")
if not TORCH_AVAILABLE:
print("Torch is required but not installed.")
sys.exit(1)