Create alternative requirements.txt with AMD and Metal wheels (#4052)

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oobabooga 2023-09-24 09:58:29 -03:00 committed by GitHub
parent 9de2dfa887
commit 2e7b6b0014
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GPG key ID: 4AEE18F83AFDEB23
13 changed files with 336 additions and 66 deletions

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@ -108,11 +108,11 @@ pip install -r requirements.txt
1) Replace the last command above with
```
pip install -r requirements_nocuda.txt
pip install -r requirements_nowheels.txt
```
2) Manually install llama-cpp-python using the appropriate command for your hardware: [Installation from PyPI](https://github.com/abetlen/llama-cpp-python#installation-from-pypi).
3) Do the same for CTransformers: [Installation](https://github.com/marella/ctransformers#installation).
4) AMD: Manually install AutoGPTQ: [Installation](https://github.com/PanQiWei/AutoGPTQ#installation).

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@ -10,19 +10,19 @@ from transformers.modeling_outputs import CausalLMOutputWithPast
from modules import RoPE, shared
from modules.logging_colors import logger
import llama_cpp
try:
import llama_cpp
except:
llama_cpp = None
if torch.cuda.is_available() and not torch.version.hip:
try:
import llama_cpp_cuda
except:
llama_cpp_cuda = None
else:
try:
import llama_cpp_cuda
except:
llama_cpp_cuda = None
def llama_cpp_lib():
if shared.args.cpu or llama_cpp_cuda is None:
if (shared.args.cpu and llama_cpp is not None) or llama_cpp_cuda is None:
return llama_cpp
else:
return llama_cpp_cuda

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@ -9,19 +9,19 @@ from modules.callbacks import Iteratorize
from modules.logging_colors import logger
from modules.text_generation import get_max_prompt_length
import llama_cpp
try:
import llama_cpp
except:
llama_cpp = None
if torch.cuda.is_available() and not torch.version.hip:
try:
import llama_cpp_cuda
except:
llama_cpp_cuda = None
else:
try:
import llama_cpp_cuda
except:
llama_cpp_cuda = None
def llama_cpp_lib():
if shared.args.cpu or llama_cpp_cuda is None:
if (shared.args.cpu and llama_cpp is not None) or llama_cpp_cuda is None:
return llama_cpp
else:
return llama_cpp_cuda

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@ -1,6 +1,7 @@
import argparse
import glob
import os
import platform
import site
import subprocess
import sys
@ -34,6 +35,25 @@ def is_macos():
return sys.platform.startswith("darwin")
def is_x86_64():
return platform.machine() == "x86_64"
def cpu_has_avx2():
import cpuinfo
info = cpuinfo.get_cpu_info()
if 'avx2' in info['flags']:
return True
return False
def torch_version():
from torch import __version__ as torver
return torver
def is_installed():
for sitedir in site.getsitepackages():
if "site-packages" in sitedir and conda_env_path in sitedir:
@ -137,7 +157,7 @@ def install_webui():
install_pytorch = "python -m pip install torch==2.0.1a0 torchvision==0.15.2a0 intel_extension_for_pytorch==2.0.110+xpu -f https://developer.intel.com/ipex-whl-stable-xpu"
# Install Git and then Pytorch
run_cmd(f"{install_git} && {install_pytorch}", assert_success=True, environment=True)
run_cmd(f"{install_git} && {install_pytorch} && python -m pip install py-cpuinfo", assert_success=True, environment=True)
# Install the webui requirements
update_requirements(initial_installation=True)
@ -162,7 +182,37 @@ def update_requirements(initial_installation=False):
if os.path.exists(extension_req_path):
run_cmd("python -m pip install -r " + extension_req_path + " --upgrade", assert_success=True, environment=True)
textgen_requirements = open("requirements.txt").read().splitlines()
# Detect the PyTorch version
torver = torch_version()
is_cuda = '+cu' in torver # 2.0.1+cu117
is_rocm = '+rocm' in torver # 2.0.1+rocm5.4.2
is_intel = '+cxx11' in torver # 2.0.1a0+cxx11.abi
is_cpu = '+cpu' in torver # 2.0.1+cpu
if is_rocm:
if cpu_has_avx2():
requirements_file = "requirements_amd.txt"
else:
requirements_file = "requirements_amd_noavx2.txt"
elif is_cpu:
if cpu_has_avx2():
requirements_file = "requirements_cpu_only.txt"
else:
requirements_file = "requirements_cpu_only_noavx2.txt"
elif is_macos():
if is_x86_64():
requirements_file = "requirements_apple_intel.txt"
else:
requirements_file = "requirements_apple_silicon.txt"
else:
if cpu_has_avx2():
requirements_file = "requirements.txt"
else:
requirements_file = "requirements_noavx2.txt"
print(f"Using the following requirements file: {requirements_file}")
textgen_requirements = open(requirements_file).read().splitlines()
# Workaround for git+ packages not updating properly. Also store requirements.txt for later use
git_requirements = [req for req in textgen_requirements if req.startswith("git+")]
@ -178,14 +228,7 @@ def update_requirements(initial_installation=False):
print(f"Uninstalled {package_name}")
# Install/update the project requirements
run_cmd("python -m pip install -r requirements.txt --upgrade", assert_success=True, environment=True)
# The following requirements are for CUDA, not CPU
# Parse output of 'pip show torch' to determine torch version
torver_cmd = run_cmd("python -m pip show torch", assert_success=True, environment=True, capture_output=True)
torver = [v.split()[1] for v in torver_cmd.stdout.decode('utf-8').splitlines() if 'Version:' in v][0]
is_cuda = '+cu' in torver
is_rocm = '+rocm' in torver
run_cmd(f"python -m pip install -r {requirements_file} --upgrade", assert_success=True, environment=True)
# Check for '+cu' or '+rocm' in version string to determine if torch uses CUDA or ROCm. Check for pytorch-cuda as well for backwards compatibility
if not any((is_cuda, is_rocm)) and run_cmd("conda list -f pytorch-cuda | grep pytorch-cuda", environment=True, capture_output=True).returncode == 1:
@ -216,29 +259,6 @@ def update_requirements(initial_installation=False):
# Install the correct version of g++
run_cmd("conda install -y -k conda-forge::gxx_linux-64=11.2.0", environment=True)
if is_rocm:
# Pre-installed ExLlama module does not support AMD GPU
run_cmd("python -m pip uninstall -y exllama", environment=True)
# Get download URL for latest ExLlama ROCm wheel
exllama_rocm = run_cmd('curl -s https://api.github.com/repos/jllllll/exllama/releases/latest | grep browser_download_url | grep rocm5.4.2-cp310-cp310-linux_x86_64.whl | cut -d : -f 2,3 | tr -d \'"\'', environment=True, capture_output=True).stdout.decode('utf-8')
if 'rocm5.4.2-cp310-cp310-linux_x86_64.whl' in exllama_rocm:
run_cmd("python -m pip install " + exllama_rocm, environment=True)
# Install/Update ROCm AutoGPTQ for AMD GPUs
auto_gptq_version = [req for req in textgen_requirements if req.startswith('https://github.com/PanQiWei/AutoGPTQ/releases/download/')][0].split('/')[7]
auto_gptq_wheel = run_cmd(f'curl -s https://api.github.com/repos/PanQiWei/AutoGPTQ/releases/tags/{auto_gptq_version} | grep browser_download_url | grep rocm5.4.2-cp310-cp310-linux_x86_64.whl | cut -d : -f 2,3 | tr -d \'"\'', environment=True, capture_output=True).stdout.decode('utf-8')
if not auto_gptq_wheel and run_cmd(f"python -m pip install {auto_gptq_wheel} --force-reinstall --no-deps", environment=True).returncode != 0:
print_big_message("ERROR: AutoGPTQ wheel installation failed!\n You will not be able to use GPTQ-based models with AutoGPTQ.")
# Install GPTQ-for-LLaMa for ROCm
gptq_wheel = run_cmd('curl -s https://api.github.com/repos/jllllll/GPTQ-for-LLaMa-CUDA/releases/latest | grep browser_download_url | grep rocm5.4.2-cp310-cp310-linux_x86_64.whl | cut -d : -f 2,3 | tr -d \'"\'', environment=True, capture_output=True).stdout.decode('utf-8')
install_gptq = run_cmd("python -m pip install " + gptq_wheel, environment=True).returncode == 0
if install_gptq:
print("Wheel installation success!")
else:
print("ERROR: GPTQ wheel installation failed.")
print("You will not be able to use GPTQ-based models with GPTQ-for-LLaMa.")
clear_cache()

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@ -29,25 +29,17 @@ wandb
bitsandbytes==0.41.1; platform_system != "Windows"
https://github.com/jllllll/bitsandbytes-windows-webui/releases/download/wheels/bitsandbytes-0.41.1-py3-none-win_amd64.whl; platform_system == "Windows"
# AutoGPTQ
https://github.com/PanQiWei/AutoGPTQ/releases/download/v0.4.2/auto_gptq-0.4.2+cu117-cp310-cp310-win_amd64.whl; platform_system == "Windows"
https://github.com/PanQiWei/AutoGPTQ/releases/download/v0.4.2/auto_gptq-0.4.2+cu117-cp310-cp310-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64"
# ExLlama
https://github.com/jllllll/exllama/releases/download/0.0.17/exllama-0.0.17+cu117-cp310-cp310-win_amd64.whl; platform_system == "Windows"
https://github.com/jllllll/exllama/releases/download/0.0.17/exllama-0.0.17+cu117-cp310-cp310-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64"
# llama-cpp-python without GPU support
llama-cpp-python==0.2.6; platform_system != "Windows"
# llama-cpp-python (CPU only, AVX2)
https://github.com/abetlen/llama-cpp-python/releases/download/v0.2.6/llama_cpp_python-0.2.6-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64"
https://github.com/abetlen/llama-cpp-python/releases/download/v0.2.6/llama_cpp_python-0.2.6-cp310-cp310-win_amd64.whl; platform_system == "Windows"
# llama-cpp-python with CUDA support
# CUDA wheels
https://github.com/PanQiWei/AutoGPTQ/releases/download/v0.4.2/auto_gptq-0.4.2+cu117-cp310-cp310-win_amd64.whl; platform_system == "Windows"
https://github.com/PanQiWei/AutoGPTQ/releases/download/v0.4.2/auto_gptq-0.4.2+cu117-cp310-cp310-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64"
https://github.com/jllllll/exllama/releases/download/0.0.17/exllama-0.0.17+cu117-cp310-cp310-win_amd64.whl; platform_system == "Windows"
https://github.com/jllllll/exllama/releases/download/0.0.17/exllama-0.0.17+cu117-cp310-cp310-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64"
https://github.com/jllllll/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda-0.2.6+cu117-cp310-cp310-win_amd64.whl; platform_system == "Windows"
https://github.com/jllllll/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda-0.2.6+cu117-cp310-cp310-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64"
# GPTQ-for-LLaMa
https://github.com/jllllll/GPTQ-for-LLaMa-CUDA/releases/download/0.1.0/gptq_for_llama-0.1.0+cu117-cp310-cp310-win_amd64.whl; platform_system == "Windows"
https://github.com/jllllll/GPTQ-for-LLaMa-CUDA/releases/download/0.1.0/gptq_for_llama-0.1.0+cu117-cp310-cp310-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64"
# ctransformers
https://github.com/jllllll/ctransformers-cuBLAS-wheels/releases/download/AVX2/ctransformers-0.2.27+cu117-py3-none-any.whl

40
requirements_amd.txt Normal file
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@ -0,0 +1,40 @@
aiofiles==23.1.0
fastapi==0.95.2
gradio_client==0.2.5
gradio==3.33.1
pydantic==1.10.12
accelerate==0.23.*
colorama
datasets
einops
exllamav2==0.0.3
markdown
numpy==1.24
optimum==1.13.1
pandas
peft==0.5.*
Pillow>=9.5.0
pyyaml
requests
safetensors==0.3.2
transformers==4.33.*
scipy
sentencepiece
tensorboard
tqdm
wandb
# bitsandbytes
bitsandbytes==0.41.1; platform_system != "Windows"
https://github.com/jllllll/bitsandbytes-windows-webui/releases/download/wheels/bitsandbytes-0.41.1-py3-none-win_amd64.whl; platform_system == "Windows"
# llama-cpp-python (CPU only, AVX2)
https://github.com/abetlen/llama-cpp-python/releases/download/v0.2.6/llama_cpp_python-0.2.6-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64"
https://github.com/abetlen/llama-cpp-python/releases/download/v0.2.6/llama_cpp_python-0.2.6-cp310-cp310-win_amd64.whl; platform_system == "Windows"
# AMD wheels
https://github.com/PanQiWei/AutoGPTQ/releases/download/v0.4.2/auto_gptq-0.4.2+rocm5.4.2-cp310-cp310-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64"
https://github.com/jllllll/exllama/releases/download/0.0.17/exllama-0.0.17+rocm5.4.2-cp310-cp310-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64"
https://github.com/jllllll/llama-cpp-python-cuBLAS-wheels/releases/download/rocm/llama_cpp_python_cuda-0.2.6+rocm5.4.2-cp310-cp310-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64"
https://github.com/jllllll/GPTQ-for-LLaMa-CUDA/releases/download/0.1.0/gptq_for_llama-0.1.0+rocm5.4.2-cp310-cp310-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64"

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@ -0,0 +1,39 @@
aiofiles==23.1.0
fastapi==0.95.2
gradio_client==0.2.5
gradio==3.33.1
pydantic==1.10.12
accelerate==0.23.*
colorama
datasets
einops
exllamav2==0.0.3
markdown
numpy==1.24
optimum==1.13.1
pandas
peft==0.5.*
Pillow>=9.5.0
pyyaml
requests
safetensors==0.3.2
transformers==4.33.*
scipy
sentencepiece
tensorboard
tqdm
wandb
# bitsandbytes
bitsandbytes==0.41.1; platform_system != "Windows"
https://github.com/jllllll/bitsandbytes-windows-webui/releases/download/wheels/bitsandbytes-0.41.1-py3-none-win_amd64.whl; platform_system == "Windows"
# llama-cpp-python (CPU only)
https://github.com/jllllll/llama-cpp-python-cuBLAS-wheels/releases/download/basic/llama_cpp_python-0.2.6+cu117-cp310-cp310-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64"
https://github.com/jllllll/llama-cpp-python-cuBLAS-wheels/releases/download/basic/llama_cpp_python-0.2.6+cu117-cp310-cp310-win_amd64.whl; platform_system == "Windows"
# AMD wheels
https://github.com/PanQiWei/AutoGPTQ/releases/download/v0.4.2/auto_gptq-0.4.2+rocm5.4.2-cp310-cp310-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64"
https://github.com/jllllll/exllama/releases/download/0.0.17/exllama-0.0.17+rocm5.4.2-cp310-cp310-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64"
https://github.com/jllllll/GPTQ-for-LLaMa-CUDA/releases/download/0.1.0/gptq_for_llama-0.1.0+rocm5.4.2-cp310-cp310-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64"

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@ -0,0 +1,33 @@
aiofiles==23.1.0
fastapi==0.95.2
gradio_client==0.2.5
gradio==3.33.1
pydantic==1.10.12
accelerate==0.23.*
colorama
datasets
einops
exllamav2==0.0.3
markdown
numpy==1.24
optimum==1.13.1
pandas
peft==0.5.*
Pillow>=9.5.0
pyyaml
requests
safetensors==0.3.2
transformers==4.33.*
scipy
sentencepiece
tensorboard
tqdm
wandb
# bitsandbytes
bitsandbytes==0.41.1; platform_system != "Windows"
https://github.com/jllllll/bitsandbytes-windows-webui/releases/download/wheels/bitsandbytes-0.41.1-py3-none-win_amd64.whl; platform_system == "Windows"
# Mac wheels
https://github.com/jllllll/llama-cpp-python-cuBLAS-wheels/releases/download/metal/llama_cpp_python-0.2.6-cp310-cp310-macosx_11_0_x86_64.whl

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@ -0,0 +1,33 @@
aiofiles==23.1.0
fastapi==0.95.2
gradio_client==0.2.5
gradio==3.33.1
pydantic==1.10.12
accelerate==0.23.*
colorama
datasets
einops
exllamav2==0.0.3
markdown
numpy==1.24
optimum==1.13.1
pandas
peft==0.5.*
Pillow>=9.5.0
pyyaml
requests
safetensors==0.3.2
transformers==4.33.*
scipy
sentencepiece
tensorboard
tqdm
wandb
# bitsandbytes
bitsandbytes==0.41.1; platform_system != "Windows"
https://github.com/jllllll/bitsandbytes-windows-webui/releases/download/wheels/bitsandbytes-0.41.1-py3-none-win_amd64.whl; platform_system == "Windows"
# Mac wheels
https://github.com/jllllll/llama-cpp-python-cuBLAS-wheels/releases/download/metal/llama_cpp_python-0.2.6-cp310-cp310-macosx_11_0_arm64.whl

34
requirements_cpu_only.txt Normal file
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@ -0,0 +1,34 @@
aiofiles==23.1.0
fastapi==0.95.2
gradio_client==0.2.5
gradio==3.33.1
pydantic==1.10.12
accelerate==0.23.*
colorama
datasets
einops
exllamav2==0.0.3
markdown
numpy==1.24
optimum==1.13.1
pandas
peft==0.5.*
Pillow>=9.5.0
pyyaml
requests
safetensors==0.3.2
transformers==4.33.*
scipy
sentencepiece
tensorboard
tqdm
wandb
# bitsandbytes
bitsandbytes==0.41.1; platform_system != "Windows"
https://github.com/jllllll/bitsandbytes-windows-webui/releases/download/wheels/bitsandbytes-0.41.1-py3-none-win_amd64.whl; platform_system == "Windows"
# llama-cpp-python (CPU only, AVX2)
https://github.com/abetlen/llama-cpp-python/releases/download/v0.2.6/llama_cpp_python-0.2.6-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64"
https://github.com/abetlen/llama-cpp-python/releases/download/v0.2.6/llama_cpp_python-0.2.6-cp310-cp310-win_amd64.whl; platform_system == "Windows"

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@ -0,0 +1,34 @@
aiofiles==23.1.0
fastapi==0.95.2
gradio_client==0.2.5
gradio==3.33.1
pydantic==1.10.12
accelerate==0.23.*
colorama
datasets
einops
exllamav2==0.0.3
markdown
numpy==1.24
optimum==1.13.1
pandas
peft==0.5.*
Pillow>=9.5.0
pyyaml
requests
safetensors==0.3.2
transformers==4.33.*
scipy
sentencepiece
tensorboard
tqdm
wandb
# bitsandbytes
bitsandbytes==0.41.1; platform_system != "Windows"
https://github.com/jllllll/bitsandbytes-windows-webui/releases/download/wheels/bitsandbytes-0.41.1-py3-none-win_amd64.whl; platform_system == "Windows"
# llama-cpp-python (CPU only)
https://github.com/jllllll/llama-cpp-python-cuBLAS-wheels/releases/download/basic/llama_cpp_python-0.2.6+cu117-cp310-cp310-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64"
https://github.com/jllllll/llama-cpp-python-cuBLAS-wheels/releases/download/basic/llama_cpp_python-0.2.6+cu117-cp310-cp310-win_amd64.whl; platform_system == "Windows"

45
requirements_noavx2.txt Normal file
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@ -0,0 +1,45 @@
aiofiles==23.1.0
fastapi==0.95.2
gradio_client==0.2.5
gradio==3.33.1
pydantic==1.10.12
accelerate==0.23.*
colorama
datasets
einops
exllamav2==0.0.3
markdown
numpy==1.24
optimum==1.13.1
pandas
peft==0.5.*
Pillow>=9.5.0
pyyaml
requests
safetensors==0.3.2
transformers==4.33.*
scipy
sentencepiece
tensorboard
tqdm
wandb
# bitsandbytes
bitsandbytes==0.41.1; platform_system != "Windows"
https://github.com/jllllll/bitsandbytes-windows-webui/releases/download/wheels/bitsandbytes-0.41.1-py3-none-win_amd64.whl; platform_system == "Windows"
# llama-cpp-python (CPU only)
https://github.com/jllllll/llama-cpp-python-cuBLAS-wheels/releases/download/basic/llama_cpp_python-0.2.6+cu117-cp310-cp310-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64"
https://github.com/jllllll/llama-cpp-python-cuBLAS-wheels/releases/download/basic/llama_cpp_python-0.2.6+cu117-cp310-cp310-win_amd64.whl; platform_system == "Windows"
# CUDA wheels
https://github.com/PanQiWei/AutoGPTQ/releases/download/v0.4.2/auto_gptq-0.4.2+cu117-cp310-cp310-win_amd64.whl; platform_system == "Windows"
https://github.com/PanQiWei/AutoGPTQ/releases/download/v0.4.2/auto_gptq-0.4.2+cu117-cp310-cp310-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64"
https://github.com/jllllll/exllama/releases/download/0.0.17/exllama-0.0.17+cu117-cp310-cp310-win_amd64.whl; platform_system == "Windows"
https://github.com/jllllll/exllama/releases/download/0.0.17/exllama-0.0.17+cu117-cp310-cp310-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64"
https://github.com/jllllll/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda-0.2.6+cu117-cp310-cp310-win_amd64.whl; platform_system == "Windows"
https://github.com/jllllll/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda-0.2.6+cu117-cp310-cp310-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64"
https://github.com/jllllll/GPTQ-for-LLaMa-CUDA/releases/download/0.1.0/gptq_for_llama-0.1.0+cu117-cp310-cp310-win_amd64.whl; platform_system == "Windows"
https://github.com/jllllll/GPTQ-for-LLaMa-CUDA/releases/download/0.1.0/gptq_for_llama-0.1.0+cu117-cp310-cp310-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64"
https://github.com/jllllll/ctransformers-cuBLAS-wheels/releases/download/AVX2/ctransformers-0.2.27+cu117-py3-none-any.whl