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-rw-r--r--modules/launch_utils.py42
1 files changed, 35 insertions, 7 deletions
diff --git a/modules/launch_utils.py b/modules/launch_utils.py
index 6e54d063..29506f24 100644
--- a/modules/launch_utils.py
+++ b/modules/launch_utils.py
@@ -6,6 +6,7 @@ import os
import shutil
import sys
import importlib.util
+import importlib.metadata
import platform
import json
from functools import lru_cache
@@ -64,7 +65,7 @@ Use --skip-python-version-check to suppress this warning.
@lru_cache()
def commit_hash():
try:
- return subprocess.check_output([git, "rev-parse", "HEAD"], shell=False, encoding='utf8').strip()
+ return subprocess.check_output([git, "-C", script_path, "rev-parse", "HEAD"], shell=False, encoding='utf8').strip()
except Exception:
return "<none>"
@@ -72,7 +73,7 @@ def commit_hash():
@lru_cache()
def git_tag():
try:
- return subprocess.check_output([git, "describe", "--tags"], shell=False, encoding='utf8').strip()
+ return subprocess.check_output([git, "-C", script_path, "describe", "--tags"], shell=False, encoding='utf8').strip()
except Exception:
try:
@@ -119,11 +120,16 @@ def run(command, desc=None, errdesc=None, custom_env=None, live: bool = default_
def is_installed(package):
try:
- spec = importlib.util.find_spec(package)
- except ModuleNotFoundError:
- return False
+ dist = importlib.metadata.distribution(package)
+ except importlib.metadata.PackageNotFoundError:
+ try:
+ spec = importlib.util.find_spec(package)
+ except ModuleNotFoundError:
+ return False
+
+ return spec is not None
- return spec is not None
+ return dist is not None
def repo_dir(name):
@@ -310,6 +316,26 @@ def requirements_met(requirements_file):
def prepare_environment():
torch_index_url = os.environ.get('TORCH_INDEX_URL', "https://download.pytorch.org/whl/cu118")
torch_command = os.environ.get('TORCH_COMMAND', f"pip install torch==2.0.1 torchvision==0.15.2 --extra-index-url {torch_index_url}")
+ if args.use_ipex:
+ if platform.system() == "Windows":
+ # The "Nuullll/intel-extension-for-pytorch" wheels were built from IPEX source for Intel Arc GPU: https://github.com/intel/intel-extension-for-pytorch/tree/xpu-main
+ # This is NOT an Intel official release so please use it at your own risk!!
+ # See https://github.com/Nuullll/intel-extension-for-pytorch/releases/tag/v2.0.110%2Bxpu-master%2Bdll-bundle for details.
+ #
+ # Strengths (over official IPEX 2.0.110 windows release):
+ # - AOT build (for Arc GPU only) to eliminate JIT compilation overhead: https://github.com/intel/intel-extension-for-pytorch/issues/399
+ # - Bundles minimal oneAPI 2023.2 dependencies into the python wheels, so users don't need to install oneAPI for the whole system.
+ # - Provides a compatible torchvision wheel: https://github.com/intel/intel-extension-for-pytorch/issues/465
+ # Limitation:
+ # - Only works for python 3.10
+ url_prefix = "https://github.com/Nuullll/intel-extension-for-pytorch/releases/download/v2.0.110%2Bxpu-master%2Bdll-bundle"
+ torch_command = os.environ.get('TORCH_COMMAND', f"pip install {url_prefix}/torch-2.0.0a0+gite9ebda2-cp310-cp310-win_amd64.whl {url_prefix}/torchvision-0.15.2a0+fa99a53-cp310-cp310-win_amd64.whl {url_prefix}/intel_extension_for_pytorch-2.0.110+gitc6ea20b-cp310-cp310-win_amd64.whl")
+ else:
+ # Using official IPEX release for linux since it's already an AOT build.
+ # However, users still have to install oneAPI toolkit and activate oneAPI environment manually.
+ # See https://intel.github.io/intel-extension-for-pytorch/index.html#installation for details.
+ torch_index_url = os.environ.get('TORCH_INDEX_URL', "https://pytorch-extension.intel.com/release-whl/stable/xpu/us/")
+ torch_command = os.environ.get('TORCH_COMMAND', f"pip install torch==2.0.0a0 intel-extension-for-pytorch==2.0.110+gitba7f6c1 --extra-index-url {torch_index_url}")
requirements_file = os.environ.get('REQS_FILE', "requirements_versions.txt")
xformers_package = os.environ.get('XFORMERS_PACKAGE', 'xformers==0.0.20')
@@ -352,6 +378,8 @@ def prepare_environment():
run(f'"{python}" -m {torch_command}', "Installing torch and torchvision", "Couldn't install torch", live=True)
startup_timer.record("install torch")
+ if args.use_ipex:
+ args.skip_torch_cuda_test = True
if not args.skip_torch_cuda_test and not check_run_python("import torch; assert torch.cuda.is_available()"):
raise RuntimeError(
'Torch is not able to use GPU; '
@@ -441,7 +469,7 @@ def dump_sysinfo():
import datetime
text = sysinfo.get()
- filename = f"sysinfo-{datetime.datetime.utcnow().strftime('%Y-%m-%d-%H-%M')}.txt"
+ filename = f"sysinfo-{datetime.datetime.utcnow().strftime('%Y-%m-%d-%H-%M')}.json"
with open(filename, "w", encoding="utf8") as file:
file.write(text)