skip installing packages with pip if theyare already installed

record time it took to launch
This commit is contained in:
AUTOMATIC1111 2023-07-17 20:10:24 +03:00
parent 699108bfbb
commit a99d5708e6
3 changed files with 52 additions and 7 deletions

View File

@ -1,4 +1,5 @@
# this scripts installs necessary requirements and launches main program in webui.py
import re
import subprocess
import os
import sys
@ -9,6 +10,9 @@ from functools import lru_cache
from modules import cmd_args, errors
from modules.paths_internal import script_path, extensions_dir
from modules import timer
timer.startup_timer.record("start")
args, _ = cmd_args.parser.parse_known_args()
@ -226,6 +230,44 @@ def run_extensions_installers(settings_file):
run_extension_installer(os.path.join(extensions_dir, dirname_extension))
re_requirement = re.compile(r"\s*([-_a-zA-Z0-9]+)\s*(?:==\s*([-+_.a-zA-Z0-9]+))?\s*")
def requrements_met(requirements_file):
"""
Does a simple parse of a requirements.txt file to determine if all rerqirements in it
are already installed. Returns True if so, False if not installed or parsing fails.
"""
import importlib.metadata
import packaging.version
with open(requirements_file, "r", encoding="utf8") as file:
for line in file:
if line.strip() == "":
continue
m = re.match(re_requirement, line)
if m is None:
return False
package = m.group(1).strip()
version_required = (m.group(2) or "").strip()
if version_required == "":
continue
try:
version_installed = importlib.metadata.version(package)
except Exception:
return False
if packaging.version.parse(version_required) != packaging.version.parse(version_installed):
return False
return True
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}")
@ -311,7 +353,9 @@ def prepare_environment():
if not os.path.isfile(requirements_file):
requirements_file = os.path.join(script_path, requirements_file)
run_pip(f"install -r \"{requirements_file}\"", "requirements")
if not requrements_met(requirements_file):
run_pip(f"install -r \"{requirements_file}\"", "requirements")
run_extensions_installers(settings_file=args.ui_settings_file)

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@ -8,7 +8,7 @@ einops==0.4.1
fastapi==0.94.0
gfpgan==1.3.8
gradio==3.32.0
httpcore<=0.15
httpcore==0.15
inflection==0.5.1
jsonmerge==1.8.0
kornia==0.6.7
@ -17,7 +17,7 @@ numpy==1.23.5
omegaconf==2.2.3
open-clip-torch==2.20.0
piexif==1.1.3
psutil~=5.9.5
psutil==5.9.5
pytorch_lightning==1.9.4
realesrgan==0.3.0
resize-right==0.0.2

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@ -31,21 +31,22 @@ if log_level:
logging.getLogger("torch.distributed.nn").setLevel(logging.ERROR) # sshh...
logging.getLogger("xformers").addFilter(lambda record: 'A matching Triton is not available' not in record.getMessage())
from modules import paths, timer, import_hook, errors, devices # noqa: F401
from modules import timer
startup_timer = timer.startup_timer
startup_timer.record("launcher")
import torch
import pytorch_lightning # noqa: F401 # pytorch_lightning should be imported after torch, but it re-enables warnings on import so import once to disable them
warnings.filterwarnings(action="ignore", category=DeprecationWarning, module="pytorch_lightning")
warnings.filterwarnings(action="ignore", category=UserWarning, module="torchvision")
startup_timer.record("import torch")
import gradio # noqa: F401
startup_timer.record("import gradio")
from modules import paths, timer, import_hook, errors, devices # noqa: F401
startup_timer.record("setup paths")
import ldm.modules.encoders.modules # noqa: F401
startup_timer.record("import ldm")