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03f5c671bc
faceswap/setup.py
torzdf 03f5c671bc
Remove plaidML support (#1325) 
* Remove PlaidML reference from readme files

* Remove AMD option from installers

* remove amd requirements and update setup.py

* remove plaidml test from CI workflow

* gpustats: remove plaidml backend

* plaid removals:
  - faceswap.py - python version check
  - setup.cfg - plaidml typing ignore
  - lib.keras_utils - All plaid code
  - lib.launcher.py - All plaidml checks and configuration

* remove tf2.2 specific code from GUI event reader

* lib.model - remove all plaidml implementations

* plugins.extract - remove plaidml code

* plugins.train remove plaidml code

* lib.convert - remove plaidml code

* tools.model: remove plaidml code

* Remove plaidML tests from unit tests

* remove plaidml_utils and docsting cleanups

* Remove plaidML refs from configs

* fix keras imports
2023-06-21 12:57:33 +01:00

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#!/usr/bin/env python3
""" Install packages for faceswap.py """
# pylint: disable=too-many-lines
import logging
import ctypes
import json
import locale
import platform
import operator
import os
import re
import sys
from shutil import which
from subprocess import list2cmdline, PIPE, Popen, run, STDOUT
from typing import Any, Dict, List, Optional, Set, Tuple, Type
from pkg_resources import parse_requirements, Requirement
from lib.logger import log_setup
if sys.version_info < (3, 8):
from typing_extensions import Literal
else:
from typing import Literal
logger = logging.getLogger(__name__) # pylint: disable=invalid-name
_INSTALL_FAILED = False
# Revisions of tensorflow GPU and cuda/cudnn requirements. These relate specifically to the
# Tensorflow builds available from pypi
_TENSORFLOW_REQUIREMENTS = {">=2.7.0,<2.11.0": ["11.2", "8.1"]}
# ROCm min/max version requirements for Tensorflow
_TENSORFLOW_ROCM_REQUIREMENTS = {">=2.10.0,<2.11.0": ((5, 2, 0), (5, 4, 0))}
# TODO tensorflow-metal versioning
# Packages that are explicitly required for setup.py
_INSTALLER_REQUIREMENTS: List[Tuple[str, str]] = [("pexpect>=4.8.0", "!Windows"),
("pywinpty==2.0.2", "Windows")]
# Mapping of Python packages to their conda names if different from pip or in non-default channel
_CONDA_MAPPING: Dict[str, Tuple[str, str]] = {
# "opencv-python": ("opencv", "conda-forge"), # Periodic issues with conda-forge opencv
"fastcluster": ("fastcluster", "conda-forge"),
"imageio-ffmpeg": ("imageio-ffmpeg", "conda-forge"),
"scikit-learn": ("scikit-learn", "conda-forge"), # Exists in Default but is dependency hell
"tensorflow-deps": ("tensorflow-deps", "apple"),
"libblas": ("libblas", "conda-forge")}
# Packages that should be installed first to prevent version conflicts
_PRIORITY = ["numpy"]
class Environment():
""" The current install environment
Parameters
----------
updater: bool, Optional
``True`` if the script is being called by Faceswap's internal updater. ``False`` if full
setup is running. Default: ``False``
"""
_backends = (("nvidia", "apple_silicon", "directml", "rocm", "cpu"))
def __init__(self, updater: bool = False) -> None:
self.updater = updater
# Flag that setup is being run by installer so steps can be skipped
self.is_installer: bool = False
self.backend: Optional[Literal["nvidia", "apple_silicon",
"directml", "cpu", "rocm"]] = None
self.enable_docker: bool = False
self.cuda_cudnn = ["", ""]
self.rocm_version: Tuple[int, ...] = (0, 0, 0)
self._process_arguments()
self._check_permission()
self._check_system()
self._check_python()
self._output_runtime_info()
self._check_pip()
self._upgrade_pip()
self._set_env_vars()
self._packages = Packages(self)
@property
def encoding(self) -> str:
""" Get system encoding """
return locale.getpreferredencoding()
@property
def os_version(self) -> Tuple[str, str]:
""" Get OS Version """
return platform.system(), platform.release()
@property
def py_version(self) -> Tuple[str, str]:
""" Get Python Version """
return platform.python_version(), platform.architecture()[0]
@property
def is_conda(self) -> bool:
""" Check whether using Conda """
return ("conda" in sys.version.lower() or
os.path.exists(os.path.join(sys.prefix, 'conda-meta')))
@property
def is_admin(self) -> bool:
""" Check whether user is admin """
try:
retval = os.getuid() == 0 # type: ignore
except AttributeError:
retval = ctypes.windll.shell32.IsUserAnAdmin() != 0 # type: ignore
return retval
@property
def cuda_version(self) -> str:
""" str: The detected globally installed Cuda Version """
return self.cuda_cudnn[0]
@property
def cudnn_version(self) -> str:
""" str: The detected globally installed cuDNN Version """
return self.cuda_cudnn[1]
@property
def is_virtualenv(self) -> bool:
""" Check whether this is a virtual environment """
if not self.is_conda:
retval = (hasattr(sys, "real_prefix") or
(hasattr(sys, "base_prefix") and sys.base_prefix != sys.prefix))
else:
prefix = os.path.dirname(sys.prefix)
retval = os.path.basename(prefix) == "envs"
return retval
def _process_arguments(self) -> None:
""" Process any cli arguments and dummy in cli arguments if calling from updater. """
args = [arg for arg in sys.argv] # pylint:disable=unnecessary-comprehension
if self.updater:
from lib.utils import get_backend # pylint:disable=import-outside-toplevel
args.append(f"--{get_backend()}")
logger.debug(args)
for arg in args:
if arg == "--installer":
self.is_installer = True
if not self.backend and (arg.startswith("--") and
arg.replace("--", "") in self._backends):
self.backend = arg.replace("--", "").lower() # type:ignore
def _check_permission(self) -> None:
""" Check for Admin permissions """
if self.updater:
return
if self.is_admin:
logger.info("Running as Root/Admin")
else:
logger.info("Running without root/admin privileges")
def _check_system(self) -> None:
""" Check the system """
if not self.updater:
logger.info("The tool provides tips for installation and installs required python "
"packages")
logger.info("Setup in %s %s", self.os_version[0], self.os_version[1])
if not self.updater and not self.os_version[0] in ["Windows", "Linux", "Darwin"]:
logger.error("Your system %s is not supported!", self.os_version[0])
sys.exit(1)
if self.os_version[0].lower() == "darwin" and platform.machine() == "arm64":
self.backend = "apple_silicon"
if not self.updater and not self.is_conda:
logger.error("Setting up Faceswap for Apple Silicon outside of a Conda "
"environment is unsupported")
sys.exit(1)
def _check_python(self) -> None:
""" Check python and virtual environment status """
logger.info("Installed Python: %s %s", self.py_version[0], self.py_version[1])
if self.updater:
return
if not ((3, 7) <= sys.version_info < (3, 10) and self.py_version[1] == "64bit"):
logger.error("Please run this script with Python version 3.7 to 3.9 64bit and try "
"again.")
sys.exit(1)
def _output_runtime_info(self) -> None:
""" Output run time info """
if self.is_conda:
logger.info("Running in Conda")
if self.is_virtualenv:
logger.info("Running in a Virtual Environment")
logger.info("Encoding: %s", self.encoding)
def _check_pip(self) -> None:
""" Check installed pip version """
if self.updater:
return
try:
import pip # noqa pylint:disable=unused-import,import-outside-toplevel
except ImportError:
logger.error("Import pip failed. Please Install python3-pip and try again")
sys.exit(1)
def _upgrade_pip(self) -> None:
""" Upgrade pip to latest version """
if not self.is_conda:
# Don't do this with Conda, as we must use Conda version of pip
logger.info("Upgrading pip...")
pipexe = [sys.executable, "-m", "pip"]
pipexe.extend(["install", "--no-cache-dir", "-qq", "--upgrade"])
if not self.is_admin and not self.is_virtualenv:
pipexe.append("--user")
pipexe.append("pip")
run(pipexe, check=True)
import pip # pylint:disable=import-outside-toplevel
pip_version = pip.__version__
logger.info("Installed pip: %s", pip_version)
def set_config(self) -> None:
""" Set the backend in the faceswap config file """
config = {"backend": self.backend}
pypath = os.path.dirname(os.path.realpath(__file__))
config_file = os.path.join(pypath, "config", ".faceswap")
with open(config_file, "w", encoding="utf8") as cnf:
json.dump(config, cnf)
logger.info("Faceswap config written to: %s", config_file)
def _set_env_vars(self) -> None:
""" There are some foibles under Conda which need to be worked around in different
situations.
Linux:
Update the LD_LIBRARY_PATH environment variable when activating a conda environment
and revert it when deactivating.
Notes
-----
From Tensorflow 2.7, installing Cuda Toolkit from conda-forge and tensorflow from pip
causes tensorflow to not be able to locate shared libs and hence not use the GPU.
We update the environment variable for all instances using Conda as it shouldn't hurt
anything and may help avoid conflicts with globally installed Cuda
"""
if not self.is_conda:
return
linux_update = self.os_version[0].lower() == "linux" and self.backend == "nvidia"
if not linux_update:
return
conda_prefix = os.environ["CONDA_PREFIX"]
activate_folder = os.path.join(conda_prefix, "etc", "conda", "activate.d")
deactivate_folder = os.path.join(conda_prefix, "etc", "conda", "deactivate.d")
os.makedirs(activate_folder, exist_ok=True)
os.makedirs(deactivate_folder, exist_ok=True)
activate_script = os.path.join(conda_prefix, activate_folder, "env_vars.sh")
deactivate_script = os.path.join(conda_prefix, deactivate_folder, "env_vars.sh")
if os.path.isfile(activate_script):
# Only create file if it does not already exist. There may be instances where people
# have created their own scripts, but these should be few and far between and those
# people should already know what they are doing.
return
conda_libs = os.path.join(conda_prefix, "lib")
activate = ["#!/bin/sh\n\n",
"export OLD_LD_LIBRARY_PATH=${LD_LIBRARY_PATH}\n",
f"export LD_LIBRARY_PATH='{conda_libs}':${{LD_LIBRARY_PATH}}\n"]
deactivate = ["#!/bin/sh\n\n",
"export LD_LIBRARY_PATH=${OLD_LD_LIBRARY_PATH}\n",
"unset OLD_LD_LIBRARY_PATH\n"]
logger.info("Cuda search path set to '%s'", conda_libs)
with open(activate_script, "w", encoding="utf8") as afile:
afile.writelines(activate)
with open(deactivate_script, "w", encoding="utf8") as afile:
afile.writelines(deactivate)
class Packages():
""" Holds information about installed and required packages.
Handles updating dependencies based on running platform/backend
Parameters
----------
environment: :class:`Environment`
Environment class holding information about the running system
"""
def __init__(self, environment: Environment) -> None:
self._env = environment
self._conda_required_packages: List[Tuple[str, ...]] = [("tk", )]
if self._env.os_version[0] == "Linux":
# TODO Put these kind of dependencies somewhere more visible or remove when not needed
# conda-forge scipy requires GLIBCXX_3.4.30. Some Linux install do not have the
# specific version, so we install it just in case.
# Ref: https://forum.faceswap.dev/viewtopic.php?f=7&t=2247
self._conda_required_packages.append(("gcc=12.1.0", "conda-forge"))
self._installed_packages = self._get_installed_packages()
self._conda_installed_packages = self._get_installed_conda_packages()
self._required_packages: List[Tuple[str, List[Tuple[str, str]]]] = []
self._missing_packages: List[Tuple[str, List[Tuple[str, str]]]] = []
self._conda_missing_packages: List[Tuple[str, ...]] = []
@property
def prerequisites(self) -> List[Tuple[str, List[Tuple[str, str]]]]:
""" list: Any required packages that the installer needs prior to installing the faceswap
environment on the specific platform that are not already installed """
all_installed = self._all_installed_packages
candidates = self._format_requirements(
[pkg for pkg, plat in _INSTALLER_REQUIREMENTS
if self._env.os_version[0] == plat or (plat[0] == "!" and
self._env.os_version[0] != plat[1:])])
retval = [(pkg, spec) for pkg, spec in candidates
if pkg not in all_installed or (
pkg in all_installed and
not self._validate_spec(spec, all_installed.get(pkg, ""))
)]
return retval
@property
def packages_need_install(self) -> bool:
"""bool: ``True`` if there are packages available that need to be installed """
return bool(self._missing_packages or self._conda_missing_packages)
@property
def to_install(self) -> List[Tuple[str, List[Tuple[str, str]]]]:
""" list: The required packages that need to be installed """
return self._missing_packages
@property
def to_install_conda(self) -> List[Tuple[str, ...]]:
""" list: The required conda packages that need to be installed """
return self._conda_missing_packages
@property
def _all_installed_packages(self) -> Dict[str, str]:
""" dict[str, str]: The package names and version string for all installed packages across
pip and conda """
return {**self._installed_packages, **self._conda_installed_packages}
@classmethod
def _format_requirements(cls, packages: List[str]) -> List[Tuple[str, List[Tuple[str, str]]]]:
""" Parse a list of requirements.txt formatted package strings to a list of pkgresource
formatted requirements """
return [(package.unsafe_name, package.specs)
for package in parse_requirements(packages)
if package.marker is None or package.marker.evaluate()]
@classmethod
def _validate_spec(cls,
required: List[Tuple[str, str]],
existing: str) -> bool:
""" Validate whether the required specification for a package is met by the installed
version.
required: list[tuple[str, str]]
The required package version spec to check
existing: str
The version of the installed package
Returns
-------
bool
``True`` if the required specification is met by the existing specification
"""
ops = {"==": operator.eq, ">=": operator.ge, "<=": operator.le,
">": operator.gt, "<": operator.lt}
if not required:
return True
return all(ops[spec[0]]([int(s) for s in existing.split(".")],
[int(s) for s in spec[1].split(".")])
for spec in required)
def _get_installed_packages(self) -> Dict[str, str]:
""" Get currently installed packages and add to :attr:`_installed_packages`
Returns
-------
dict[str, str]
The installed package name and version string
"""
installed_packages = {}
with Popen(f"\"{sys.executable}\" -m pip freeze --local", shell=True, stdout=PIPE) as chk:
installed = chk.communicate()[0].decode(self._env.encoding,
errors="ignore").splitlines()
for pkg in installed:
if "==" not in pkg:
continue
item = pkg.split("==")
installed_packages[item[0]] = item[1]
logger.debug(installed_packages)
return installed_packages
def _get_installed_conda_packages(self) -> Dict[str, str]:
""" Get currently installed conda packages
Returns
-------
dict[str, str]
The installed package name and version string
"""
if not self._env.is_conda:
return {}
chk = os.popen("conda list").read()
installed = [re.sub(" +", " ", line.strip())
for line in chk.splitlines() if not line.startswith("#")]
retval = {}
for pkg in installed:
item = pkg.split(" ")
retval[item[0]] = item[1]
logger.debug(retval)
return retval
def get_required_packages(self) -> None:
""" Load the requirements from the backend specific requirements list """
req_files = ["_requirements_base.txt", f"requirements_{self._env.backend}.txt"]
pypath = os.path.dirname(os.path.realpath(__file__))
requirements = []
for req_file in req_files:
requirements_file = os.path.join(pypath, "requirements", req_file)
with open(requirements_file, encoding="utf8") as req:
for package in req.readlines():
package = package.strip()
if package and (not package.startswith(("#", "-r"))):
requirements.append(package)
self._required_packages = self._format_requirements(requirements)
logger.debug(self._required_packages)
def _update_tf_dep_nvidia(self) -> None:
""" Update the Tensorflow dependency for global Cuda installs """
if self._env.is_conda: # Conda handles Cuda and cuDNN so nothing to do here
return
tf_ver = None
cudnn_inst = self._env.cudnn_version.split(".")
for key, val in _TENSORFLOW_REQUIREMENTS.items():
cuda_req = val[0]
cudnn_req = val[1].split(".")
if cuda_req == self._env.cuda_version and (cudnn_req[0] == cudnn_inst[0] and
cudnn_req[1] <= cudnn_inst[1]):
tf_ver = key
break
if tf_ver:
# Remove the version of tensorflow in requirements file and add the correct version
# that corresponds to the installed Cuda/cuDNN versions
self._required_packages = [pkg for pkg in self._required_packages
if not pkg[0].startswith("tensorflow-gpu")]
tf_ver = f"tensorflow-gpu{tf_ver}"
tf_ver = f"tensorflow-gpu{tf_ver}"
self._required_packages.append(("tensorflow-gpu",
next(parse_requirements(tf_ver)).specs))
return
logger.warning(
"The minimum Tensorflow requirement is 2.8 \n"
"Tensorflow currently has no official prebuild for your CUDA, cuDNN combination.\n"
"Either install a combination that Tensorflow supports or build and install your own "
"tensorflow-gpu.\r\n"
"CUDA Version: %s\r\n"
"cuDNN Version: %s\r\n"
"Help:\n"
"Building Tensorflow: https://www.tensorflow.org/install/install_sources\r\n"
"Tensorflow supported versions: "
"https://www.tensorflow.org/install/source#tested_build_configurations",
self._env.cuda_version, self._env.cudnn_version)
custom_tf = input("Location of custom tensorflow-gpu wheel (leave "
"blank to manually install): ")
if not custom_tf:
return
custom_tf = os.path.realpath(os.path.expanduser(custom_tf))
global _INSTALL_FAILED # pylint:disable=global-statement
if not os.path.isfile(custom_tf):
logger.error("%s not found", custom_tf)
_INSTALL_FAILED = True
elif os.path.splitext(custom_tf)[1] != ".whl":
logger.error("%s is not a valid pip wheel", custom_tf)
_INSTALL_FAILED = True
elif custom_tf:
self._required_packages.append((custom_tf, [(custom_tf, "")]))
def _update_tf_dep_rocm(self) -> None:
""" Update the Tensorflow dependency for global ROCm installs """
if not any(self._env.rocm_version): # ROCm was not found and the install will be aborted
return
global _INSTALL_FAILED # pylint:disable=global-statement
candidates = [key for key, val in _TENSORFLOW_ROCM_REQUIREMENTS.items()
if val[0] <= self._env.rocm_version <= val[1]]
if not candidates:
_INSTALL_FAILED = True
logger.error("No matching Tensorflow candidates found for ROCm %s in %s",
".".join(str(v) for v in self._env.rocm_version),
_TENSORFLOW_ROCM_REQUIREMENTS)
return
# set tf_ver to the minimum and maximum compatible range
tf_ver = f"{candidates[0].split(',')[0]},{candidates[-1].split(',')[-1]}"
# Remove the version of tensorflow-rocm in requirements file and add the correct version
# that corresponds to the installed ROCm version
self._required_packages = [pkg for pkg in self._required_packages
if not pkg[0].startswith("tensorflow-rocm")]
tf_ver = f"tensorflow-rocm{tf_ver}"
self._required_packages.append(("tensorflow-rocm",
next(parse_requirements(tf_ver)).specs))
def update_tf_dep(self) -> None:
""" Update Tensorflow Dependency.
Selects a compatible version of Tensorflow for a globally installed GPU library
"""
if self._env.backend == "nvidia":
self._update_tf_dep_nvidia()
if self._env.backend == "rocm":
self._update_tf_dep_rocm()
def _check_conda_missing_dependencies(self) -> None:
""" Check for conda missing dependencies and add to :attr:`_conda_missing_packages` """
if not self._env.is_conda:
return
for pkg in self._conda_required_packages:
key = pkg[0].split("==", maxsplit=1)[0]
if key not in self._conda_installed_packages:
self._conda_missing_packages.append(pkg)
continue
if len(pkg[0].split("==")) > 1:
if pkg[0].split("==")[1] != self._conda_installed_packages.get(key):
self._conda_missing_packages.append(pkg)
continue
logger.debug(self._conda_missing_packages)
def check_missing_dependencies(self) -> None:
""" Check for missing dependencies and add to :attr:`_missing_packages` """
for key, specs in self._required_packages:
if self._env.is_conda: # Get Conda alias for Key
key = _CONDA_MAPPING.get(key, (key, None))[0]
if key not in self._all_installed_packages:
# Add not installed packages to missing packages list
self._missing_packages.append((key, specs))
continue
if not self._validate_spec(specs, self._all_installed_packages.get(key, "")):
self._missing_packages.append((key, specs))
for priority in reversed(_PRIORITY):
# Put priority packages at beginning of list
package = next((pkg for pkg in self._missing_packages if pkg[0] == priority), None)
if package:
idx = self._missing_packages.index(package)
self._missing_packages.insert(0, self._missing_packages.pop(idx))
logger.debug(self._missing_packages)
self._check_conda_missing_dependencies()
class Checks(): # pylint:disable=too-few-public-methods
""" Pre-installation checks
Parameters
----------
environment: :class:`Environment`
Environment class holding information about the running system
"""
def __init__(self, environment: Environment) -> None:
self._env: Environment = environment
self._tips: Tips = Tips()
# Checks not required for installer
if self._env.is_installer:
return
# Checks not required for Apple Silicon
if self._env.backend == "apple_silicon":
return
self._user_input()
self._check_cuda()
self._check_rocm()
if self._env.os_version[0] == "Windows":
self._tips.pip()
def _rocm_ask_enable(self) -> None:
""" Set backend to 'rocm' if OS is Linux and ROCm support required """
if self._env.os_version[0] != "Linux":
return
logger.info("ROCm support:\r\nIf you are using an AMD GPU, then select 'yes'."
"\r\nCPU/non-AMD GPU users should answer 'no'.\r\n")
i = input("Enable ROCm Support? [y/N] ")
if i in ("Y", "y"):
logger.info("ROCm Support Enabled")
self._env.backend = "rocm"
def _directml_ask_enable(self) -> None:
""" Set backend to 'directml' if OS is Windows and DirectML support required """
if self._env.os_version[0] != "Windows":
return
logger.info("DirectML support:\r\nIf you are using an AMD or Intel GPU, then select 'yes'."
"\r\nNvidia users should answer 'no'.")
i = input("Enable DirectML Support? [y/N] ")
if i in ("Y", "y"):
logger.info("DirectML Support Enabled")
self._env.backend = "directml"
def _user_input(self) -> None:
""" Get user input for AMD/DirectML/ROCm/Cuda/Docker """
self._directml_ask_enable()
self._rocm_ask_enable()
if not self._env.backend:
self._docker_ask_enable()
self._cuda_ask_enable()
if self._env.os_version[0] != "Linux" and (self._env.enable_docker
and self._env.backend == "nvidia"):
self._docker_confirm()
if self._env.enable_docker:
self._docker_tips()
self._env.set_config()
sys.exit(0)
def _docker_ask_enable(self) -> None:
""" Enable or disable Docker """
i = input("Enable Docker? [y/N] ")
if i in ("Y", "y"):
logger.info("Docker Enabled")
self._env.enable_docker = True
else:
logger.info("Docker Disabled")
self._env.enable_docker = False
def _docker_confirm(self) -> None:
""" Warn if nvidia-docker on non-Linux system """
logger.warning("Nvidia-Docker is only supported on Linux.\r\n"
"Only CPU is supported in Docker for your system")
self._docker_ask_enable()
if self._env.enable_docker:
logger.warning("CUDA Disabled")
self._env.backend = "cpu"
def _docker_tips(self) -> None:
""" Provide tips for Docker use """
if self._env.backend != "nvidia":
self._tips.docker_no_cuda()
else:
self._tips.docker_cuda()
def _cuda_ask_enable(self) -> None:
""" Enable or disable CUDA """
i = input("Enable CUDA? [Y/n] ")
if i in ("", "Y", "y"):
logger.info("CUDA Enabled")
self._env.backend = "nvidia"
def _check_cuda(self) -> None:
""" Check for Cuda and cuDNN Locations. """
if self._env.backend != "nvidia":
logger.debug("Skipping Cuda checks as not enabled")
return
if self._env.is_conda:
logger.info("Skipping Cuda/cuDNN checks for Conda install")
return
if self._env.os_version[0] in ("Linux", "Windows"):
global _INSTALL_FAILED # pylint:disable=global-statement
check = CudaCheck()
if check.cuda_version:
self._env.cuda_cudnn[0] = check.cuda_version
logger.info("CUDA version: %s", self._env.cuda_version)
else:
logger.error("CUDA not found. Install and try again.\n"
"Recommended version: CUDA 10.1 cuDNN 7.6\n"
"CUDA: https://developer.nvidia.com/cuda-downloads\n"
"cuDNN: https://developer.nvidia.com/rdp/cudnn-download")
_INSTALL_FAILED = True
return
if check.cudnn_version:
self._env.cuda_cudnn[1] = ".".join(check.cudnn_version.split(".")[:2])
logger.info("cuDNN version: %s", self._env.cudnn_version)
else:
logger.error("cuDNN not found. See "
"https://github.com/deepfakes/faceswap/blob/master/INSTALL.md#"
"cudnn for instructions")
_INSTALL_FAILED = True
return
# If we get here we're on MacOS
self._tips.macos()
logger.warning("Cannot find CUDA on macOS")
self._env.cuda_cudnn[0] = input("Manually specify CUDA version: ")
def _check_rocm(self) -> None:
""" Check for ROCm version """
if self._env.backend != "rocm" or self._env.os_version[0] != "Linux":
logger.info("Skipping ROCm checks as not enabled")
return
global _INSTALL_FAILED # pylint:disable=global-statement
check = ROCmCheck()
str_min = ".".join(str(v) for v in check.version_min)
str_max = ".".join(str(v) for v in check.version_max)
if check.is_valid:
self._env.rocm_version = check.rocm_version
logger.info("ROCm version: %s", ".".join(str(v) for v in self._env.rocm_version))
else:
if check.rocm_version:
msg = f"Incompatible ROCm version: {'.'.join(str(v) for v in check.rocm_version)}"
else:
msg = "ROCm not found"
logger.error("%s.\n"
"A compatible version of ROCm must be installed to proceed.\n"
"ROCm versions between %s and %s are supported.\n"
"ROCm install guide: https://docs.amd.com/bundle/ROCm_Installation_Guide"
"v5.0/page/Overview_of_ROCm_Installation_Methods.html",
msg,
str_min,
str_max)
_INSTALL_FAILED = True
class ROCmCheck(): # pylint:disable=too-few-public-methods
""" Find the location of system installed ROCm on Linux """
def __init__(self) -> None:
self.version_min = min(v[0] for v in _TENSORFLOW_ROCM_REQUIREMENTS.values())
self.version_max = max(v[1] for v in _TENSORFLOW_ROCM_REQUIREMENTS.values())
self.rocm_version: Tuple[int, ...] = (0, 0, 0)
if platform.system() == "Linux":
self._rocm_check()
@property
def is_valid(self):
""" bool: `True` if ROCm has been detected and is between the minimum and maximum
compatible versions otherwise ``False`` """
return self.version_min <= self.rocm_version <= self.version_max
def _rocm_check(self) -> None:
""" Attempt to locate the installed ROCm version from the dynamic link loader. If not found
with ldconfig then attempt to find it in LD_LIBRARY_PATH. If found, set the
:attr:`rocm_version` to the discovered version
"""
chk = os.popen("ldconfig -p | grep -P \"librocm-core.so.\\d+\" | head -n 1").read()
if not chk and os.environ.get("LD_LIBRARY_PATH"):
for path in os.environ["LD_LIBRARY_PATH"].split(":"):
chk = os.popen(f"ls {path} | grep -P -o \"librocmcore.so.\\d+\" | "
"head -n 1").read()
if chk:
break
if not chk:
return
rocm_vers = chk.strip()
version = re.search(r"rocm\-(\d+\.\d+\.\d+)", rocm_vers)
if version is None:
return
try:
self.rocm_version = tuple(int(v) for v in version.groups()[0].split("."))
except ValueError:
return
class CudaCheck(): # pylint:disable=too-few-public-methods
""" Find the location of system installed Cuda and cuDNN on Windows and Linux. """
def __init__(self) -> None:
self.cuda_path: Optional[str] = None
self.cuda_version: Optional[str] = None
self.cudnn_version: Optional[str] = None
self._os: str = platform.system().lower()
self._cuda_keys: List[str] = [key
for key in os.environ
if key.lower().startswith("cuda_path_v")]
self._cudnn_header_files: List[str] = ["cudnn_version.h", "cudnn.h"]
logger.debug("cuda keys: %s, cudnn header files: %s",
self._cuda_keys, self._cudnn_header_files)
if self._os in ("windows", "linux"):
self._cuda_check()
self._cudnn_check()
def _cuda_check(self) -> None:
""" Obtain the location and version of Cuda and populate :attr:`cuda_version` and
:attr:`cuda_path`
Initially just calls `nvcc -V` to get the installed version of Cuda currently in use.
If this fails, drills down to more OS specific checking methods.
"""
with Popen("nvcc -V", shell=True, stdout=PIPE, stderr=PIPE) as chk:
stdout, stderr = chk.communicate()
if not stderr:
version = re.search(r".*release (?P<cuda>\d+\.\d+)",
stdout.decode(locale.getpreferredencoding(), errors="ignore"))
if version is not None:
self.cuda_version = version.groupdict().get("cuda", None)
locate = "where" if self._os == "windows" else "which"
path = os.popen(f"{locate} nvcc").read()
if path:
path = path.split("\n")[0] # Split multiple entries and take first found
while True: # Get Cuda root folder
path, split = os.path.split(path)
if split == "bin":
break
self.cuda_path = path
return
# Failed to load nvcc, manual check
getattr(self, f"_cuda_check_{self._os}")()
logger.debug("Cuda Version: %s, Cuda Path: %s", self.cuda_version, self.cuda_path)
def _cuda_check_linux(self) -> None:
""" For Linux check the dynamic link loader for libcudart. If not found with ldconfig then
attempt to find it in LD_LIBRARY_PATH. """
chk = os.popen("ldconfig -p | grep -P \"libcudart.so.\\d+.\\d+\" | head -n 1").read()
if not chk and os.environ.get("LD_LIBRARY_PATH"):
for path in os.environ["LD_LIBRARY_PATH"].split(":"):
chk = os.popen(f"ls {path} | grep -P -o \"libcudart.so.\\d+.\\d+\" | "
"head -n 1").read()
if chk:
break
if not chk: # Cuda not found
return
cudavers = chk.strip().replace("libcudart.so.", "")
self.cuda_version = cudavers[:cudavers.find(" ")]
self.cuda_path = chk[chk.find("=>") + 3:chk.find("targets") - 1]
def _cuda_check_windows(self) -> None:
""" Check Windows CUDA Version and path from Environment Variables"""
if not self._cuda_keys: # Cuda environment variable not found
return
self.cuda_version = self._cuda_keys[0].lower().replace("cuda_path_v", "").replace("_", ".")
self.cuda_path = os.environ[self._cuda_keys[0][0]]
def _cudnn_check(self):
""" Check Linux or Windows cuDNN Version from cudnn.h and add to :attr:`cudnn_version`. """
cudnn_checkfiles = getattr(self, f"_get_checkfiles_{self._os}")()
cudnn_checkfile = next((hdr for hdr in cudnn_checkfiles if os.path.isfile(hdr)), None)
logger.debug("cudnn checkfiles: %s", cudnn_checkfile)
if not cudnn_checkfile:
return
found = 0
with open(cudnn_checkfile, "r", encoding="utf8") as ofile:
for line in ofile:
if line.lower().startswith("#define cudnn_major"):
major = line[line.rfind(" ") + 1:].strip()
found += 1
elif line.lower().startswith("#define cudnn_minor"):
minor = line[line.rfind(" ") + 1:].strip()
found += 1
elif line.lower().startswith("#define cudnn_patchlevel"):
patchlevel = line[line.rfind(" ") + 1:].strip()
found += 1
if found == 3:
break
if found != 3: # Full version could not be determined
return
self.cudnn_version = ".".join([str(major), str(minor), str(patchlevel)])
logger.debug("cudnn version: %s", self.cudnn_version)
def _get_checkfiles_linux(self) -> List[str]:
""" Return the the files to check for cuDNN locations for Linux by querying
the dynamic link loader.
Returns
-------
list
List of header file locations to scan for cuDNN versions
"""
chk = os.popen("ldconfig -p | grep -P \"libcudnn.so.\\d+\" | head -n 1").read()
chk = chk.strip().replace("libcudnn.so.", "")
if not chk:
return []
cudnn_vers = chk[0]
header_files = [f"cudnn_v{cudnn_vers}.h"] + self._cudnn_header_files
cudnn_path = os.path.realpath(chk[chk.find("=>") + 3:chk.find("libcudnn") - 1])
cudnn_path = cudnn_path.replace("lib", "include")
cudnn_checkfiles = [os.path.join(cudnn_path, header) for header in header_files]
return cudnn_checkfiles
def _get_checkfiles_windows(self) -> List[str]:
""" Return the check-file locations for Windows. Just looks inside the include folder of
the discovered :attr:`cuda_path`
Returns
-------
list
List of header file locations to scan for cuDNN versions
"""
# TODO A more reliable way of getting the windows location
if not self.cuda_path:
return []
scandir = os.path.join(self.cuda_path, "include")
cudnn_checkfiles = [os.path.join(scandir, header) for header in self._cudnn_header_files]
return cudnn_checkfiles
class Install(): # pylint:disable=too-few-public-methods
""" Handles installation of Faceswap requirements
Parameters
----------
environment: :class:`Environment`
Environment class holding information about the running system
is_gui: bool, Optional
``True`` if the caller is the Faceswap GUI. Used to prevent output of progress bars
which get scrambled in the GUI
"""
def __init__(self, environment: Environment, is_gui: bool = False) -> None:
self._env = environment
self._packages = environment._packages
self._is_gui = is_gui
if self._env.os_version[0] == "Windows":
self._installer: Type[Installer] = WinPTYInstaller
else:
self._installer = PexpectInstaller
if not self._env.is_installer and not self._env.updater:
self._ask_continue()
self._packages.get_required_packages()
self._packages.update_tf_dep()
self._packages.check_missing_dependencies()
if self._env.updater and not self._packages.packages_need_install:
logger.info("All Dependencies are up to date")
return
logger.info("Installing Required Python Packages. This may take some time...")
self._install_setup_packages()
self._install_missing_dep()
if self._env.updater:
return
if not _INSTALL_FAILED:
logger.info("All python3 dependencies are met.\r\nYou are good to go.\r\n\r\n"
"Enter: 'python faceswap.py -h' to see the options\r\n"
" 'python faceswap.py gui' to launch the GUI")
else:
logger.error("Some packages failed to install. This may be a temporary error which "
"might be fixed by re-running this script. Otherwise please install "
"these packages manually.")
sys.exit(1)
def _ask_continue(self) -> None:
""" Ask Continue with Install """
text = "Please ensure your System Dependencies are met"
if self._env.backend == "rocm":
text += ("\r\nROCm users: Please ensure that your AMD GPU is supported by the "
"installed ROCm version before proceeding.")
text += "\r\nContinue? [y/N] "
inp = input(text)
if inp in ("", "N", "n"):
logger.error("Please install system dependencies to continue")
sys.exit(1)
@classmethod
def _format_package(cls, package: str, version: List[Tuple[str, str]]) -> str:
""" Format a parsed requirement package and version string to a format that can be used by
the installer.
Parameters
----------
package: str
The package name
version: list
The parsed requirement version strings
Returns
-------
str
The formatted full package and version string
"""
return f"{package}{','.join(''.join(spec) for spec in version)}"
def _install_setup_packages(self) -> None:
""" Install any packages that are required for the setup.py installer to work. This
includes the pexpect package if it is not already installed.
Subprocess is used as we do not currently have pexpect
"""
for pkg in self._packages.prerequisites:
pkg_str = self._format_package(*pkg)
if self._env.is_conda:
cmd = ["conda", "install", "-y"]
if any(char in pkg_str for char in (" ", "<", ">", "*", "|")):
pkg_str = f"\"{pkg_str}\""
else:
cmd = [sys.executable, "-m", "pip", "install", "--no-cache-dir"]
if self._env.is_admin:
cmd.append("--user")
cmd.append(pkg_str)
clean_pkg = pkg_str.replace("\"", "")
installer = SubProcInstaller(self._env, clean_pkg, cmd, self._is_gui)
if installer() != 0:
logger.error("Unable to install package: %s. Process aborted", clean_pkg)
sys.exit(1)
def _install_missing_dep(self) -> None:
""" Install missing dependencies """
self._install_conda_packages() # Install conda packages first
self._install_python_packages()
def _install_python_packages(self) -> None:
""" Install required pip packages """
conda_only = False
for pkg, version in self._packages.to_install:
if self._env.is_conda:
mapping = _CONDA_MAPPING.get(pkg, (pkg, ""))
channel = None if mapping[1] == "" else mapping[1]
pkg = mapping[0]
pkg = self._format_package(pkg, version) if version else pkg
if self._env.is_conda:
if pkg.startswith("tensorflow-gpu"):
# From TF 2.4 onwards, Anaconda Tensorflow becomes a mess. The version of 2.5
# installed by Anaconda is compiled against an incorrect numpy version which
# breaks Tensorflow. Coupled with this the versions of cudatoolkit and cudnn
# available in the default Anaconda channel are not compatible with the
# official PyPi versions of Tensorflow. With this in mind we will pull in the
# required Cuda/cuDNN from conda-forge, and install Tensorflow with pip
# TODO Revert to Conda if they get their act together
# Rewrite tensorflow requirement to versions from highest available cuda/cudnn
highest_cuda = sorted(_TENSORFLOW_REQUIREMENTS.values())[-1]
compat_tf = next(k for k, v in _TENSORFLOW_REQUIREMENTS.items()
if v == highest_cuda)
pkg = f"tensorflow-gpu{compat_tf}"
conda_only = True
if self._from_conda(pkg, channel=channel, conda_only=conda_only):
continue
self._from_pip(pkg)
def _install_conda_packages(self) -> None:
""" Install required conda packages """
logger.info("Installing Required Conda Packages. This may take some time...")
for pkg in self._packages.to_install_conda:
channel = None if len(pkg) != 2 else pkg[1]
self._from_conda(pkg[0], channel=channel, conda_only=True)
def _from_conda(self,
package: str,
channel: Optional[str] = None,
conda_only: bool = False) -> bool:
""" Install a conda package
Parameters
----------
package: str
The full formatted package, with version, to be installed
channel: str, optional
The Conda channel to install from. Select ``None`` for default channel.
Default: ``None``
conda_only: bool, optional
``True`` if the package is only available in Conda. Default: ``False``
Returns
-------
bool
``True`` if the package was succesfully installed otherwise ``False``
"""
# Packages with special characters need to be enclosed in double quotes
success = True
condaexe = ["conda", "install", "-y"]
if channel:
condaexe.extend(["-c", channel])
if package.startswith("tensorflow-gpu"):
# Here we will install the cuda/cudnn toolkits, currently only available from
# conda-forge, but fail tensorflow itself so that it can be handled by pip.
specs = Requirement.parse(package).specs
for key, val in _TENSORFLOW_REQUIREMENTS.items():
req_specs = Requirement.parse("foobar" + key).specs
if all(item in req_specs for item in specs):
cuda, cudnn = val
break
condaexe.extend(["-c", "conda-forge", f"cudatoolkit={cuda}", f"cudnn={cudnn}"])
package = "Cuda Toolkit"
success = False
if package != "Cuda Toolkit":
if any(char in package for char in (" ", "<", ">", "*", "|")):
package = f"\"{package}\""
condaexe.append(package)
clean_pkg = package.replace("\"", "")
installer = self._installer(self._env, clean_pkg, condaexe, self._is_gui)
retcode = installer()
if retcode != 0 and not conda_only:
logger.info("%s not available in Conda. Installing with pip", package)
elif retcode != 0:
logger.warning("Couldn't install %s with Conda. Please install this package "
"manually", package)
success = retcode == 0 and success
return success
def _from_pip(self, package: str) -> None:
""" Install a pip package
Parameters
----------
package: str
The full formatted package, with version, to be installed
"""
pipexe = [sys.executable, "-u", "-m", "pip", "install", "--no-cache-dir"]
# install as user to solve perm restriction
if not self._env.is_admin and not self._env.is_virtualenv:
pipexe.append("--user")
pipexe.append(package)
installer = self._installer(self._env, package, pipexe, self._is_gui)
if installer() != 0:
logger.warning("Couldn't install %s with pip. Please install this package manually",
package)
global _INSTALL_FAILED # pylint:disable=global-statement
_INSTALL_FAILED = True
class Installer():
""" Parent class for package installers.
PyWinPty is used for Windows, Pexpect is used for Linux, as these can provide us with realtime
output.
Subprocess is used as a fallback if any of the above fail, but this caches output, so it can
look like the process has hung to the end user
Parameters
----------
environment: :class:`Environment`
Environment class holding information about the running system
package: str
The package name that is being installed
command: list
The command to run
is_gui: bool
``True`` if the process is being called from the Faceswap GUI
"""
def __init__(self,
environment: Environment,
package: str,
command: List[str],
is_gui: bool) -> None:
logger.info("Installing %s", package)
logger.debug("argv: %s", command)
self._env = environment
self._package = package
self._command = command
self._is_gui = is_gui
self._last_line_cr = False
self._seen_lines: Set[str] = set()
def __call__(self) -> int:
""" Call the subclassed call function
Returns
-------
int
The return code of the package install process
"""
try:
returncode = self.call()
except Exception as err: # pylint:disable=broad-except
logger.debug("Failed to install with %s. Falling back to subprocess. Error: %s",
self.__class__.__name__, str(err))
returncode = SubProcInstaller(self._env, self._package, self._command, self._is_gui)()
logger.debug("Package: %s, returncode: %s", self._package, returncode)
return returncode
def call(self) -> int:
""" Override for package installer specific logic.
Returns
-------
int
The return code of the package install process
"""
raise NotImplementedError()
def _non_gui_print(self, text: str, end: Optional[str] = None) -> None:
""" Print output to console if not running in the GUI
Parameters
----------
text: str
The text to print
end: str, optional
The line ending to use. Default: ``None`` (new line)
"""
if self._is_gui:
return
print(text, end=end)
def _seen_line_log(self, text: str) -> None:
""" Output gets spammed to the log file when conda is waiting/processing. Only log each
unique line once.
Parameters
----------
text: str
The text to log
"""
if text in self._seen_lines:
return
logger.verbose(text) # type:ignore
self._seen_lines.add(text)
class PexpectInstaller(Installer): # pylint: disable=too-few-public-methods
""" Package installer for Linux/macOS using Pexpect
Uses Pexpect for installing packages allowing access to realtime feedback
Parameters
----------
environment: :class:`Environment`
Environment class holding information about the running system
package: str
The package name that is being installed
command: list
The command to run
is_gui: bool
``True`` if the process is being called from the Faceswap GUI
"""
def call(self) -> int:
""" Install a package using the Pexpect module
Returns
-------
int
The return code of the package install process
"""
import pexpect # pylint:disable=import-outside-toplevel,import-error
proc = pexpect.spawn(" ".join(self._command),
encoding=self._env.encoding, codec_errors="replace", timeout=None)
while True:
try:
idx = proc.expect(["\r\n", "\r"])
line = proc.before.rstrip()
if line and idx == 0:
if self._last_line_cr:
self._last_line_cr = False
# Output last line of progress bar and go to next line
self._non_gui_print(line)
self._seen_line_log(line)
elif line and idx == 1:
self._last_line_cr = True
logger.debug(line)
self._non_gui_print(line, end="\r")
except pexpect.EOF:
break
proc.close()
return proc.exitstatus
class WinPTYInstaller(Installer): # pylint: disable=too-few-public-methods
""" Package installer for Windows using WinPTY
Spawns a pseudo PTY for installing packages allowing access to realtime feedback
Parameters
----------
environment: :class:`Environment`
Environment class holding information about the running system
package: str
The package name that is being installed
command: list
The command to run
is_gui: bool
``True`` if the process is being called from the Faceswap GUI
"""
def __init__(self,
environment: Environment,
package: str,
command: List[str],
is_gui: bool) -> None:
super().__init__(environment, package, command, is_gui)
self._cmd = which(command[0], path=os.environ.get('PATH', os.defpath))
self._cmdline = list2cmdline(command)
logger.debug("cmd: '%s', cmdline: '%s'", self._cmd, self._cmdline)
self._pbar = re.compile(r"(?:eta\s[\d\W]+)|(?:\s+\|\s+\d+%)\Z")
self._eof = False
self._read_bytes = 1024
self._lines: List[str] = []
self._out = ""
def _read_from_pty(self, proc: Any, winpty_error: Any) -> None:
""" Read :attr:`_num_bytes` from WinPTY. If there is an error reading, recursively halve
the number of bytes read until we get a succesful read. If we get down to 1 byte without a
succesful read, assume we are at EOF.
Parameters
----------
proc: :class:`winpty.PTY`
The WinPTY process
winpty_error: :class:`winpty.WinptyError`
The winpty error exception. Passed in as WinPTY is not in global scope
"""
try:
from_pty = proc.read(self._read_bytes)
except winpty_error:
# TODO Reinsert this check
# The error message "pipe has been ended" is language specific so this check
# fails on non english systems. For now we just swallow all errors until no
# bytes are left to read and then check the return code
# if any(val in str(err) for val in ["EOF", "pipe has been ended"]):
# # Get remaining bytes. On a comms error, the buffer remains unread so keep
# # halving buffer amount until down to 1 when we know we have everything
# if self._read_bytes == 1:
# self._eof = True
# from_pty = ""
# self._read_bytes //= 2
# else:
# raise
# Get remaining bytes. On a comms error, the buffer remains unread so keep
# halving buffer amount until down to 1 when we know we have everything
if self._read_bytes == 1:
self._eof = True
from_pty = ""
self._read_bytes //= 2
self._out += from_pty
def _out_to_lines(self) -> None:
""" Process the winpty output into separate lines. Roll over any semi-consumed lines to the
next proc call. """
if "\n" not in self._out:
return
self._lines.extend(self._out.split("\n"))
if self._out.endswith("\n") or self._eof: # Ends on newline or is EOF
self._out = ""
else: # roll over semi-consumed line to next read
self._out = self._lines[-1]
self._lines = self._lines[:-1]
def _parse_lines(self) -> None:
""" Process the latest batch of lines that have been received from winPTY. """
for line in self._lines: # Dump the output to log
line = line.rstrip()
is_cr = bool(self._pbar.search(line))
if line and not is_cr:
if self._last_line_cr:
self._last_line_cr = False
if not self._env.is_installer:
# Go to next line
self._non_gui_print("")
self._seen_line_log(line)
elif line:
self._last_line_cr = True
logger.debug(line)
# NSIS only updates on line endings, so force new line for installer
self._non_gui_print(line, end=None if self._env.is_installer else "\r")
self._lines = []
def call(self) -> int:
""" Install a package using the PyWinPTY module
Returns
-------
int
The return code of the package install process
"""
import winpty # pylint:disable=import-outside-toplevel,import-error
# For some reason with WinPTY we need to pass in the full command. Probably a bug
proc = winpty.PTY(
80 if self._env.is_installer else 100,
24,
backend=winpty.enums.Backend.WinPTY, # ConPTY hangs and has lots of Ansi Escapes
agent_config=winpty.enums.AgentConfig.WINPTY_FLAG_PLAIN_OUTPUT) # Strip all Ansi
if not proc.spawn(self._cmd, cmdline=self._cmdline):
del proc
raise RuntimeError("Failed to spawn winpty")
while True:
self._read_from_pty(proc, winpty.WinptyError)
self._out_to_lines()
self._parse_lines()
if self._eof:
returncode = proc.get_exitstatus()
break
del proc
return returncode
class SubProcInstaller(Installer):
""" The fallback package installer if either of the OS specific installers fail.
Uses the python Subprocess module to install packages. Feedback does not return in realtime
so the process can look like it has hung to the end user
Parameters
----------
environment: :class:`Environment`
Environment class holding information about the running system
package: str
The package name that is being installed
command: list
The command to run
is_gui: bool
``True`` if the process is being called from the Faceswap GUI
"""
def __init__(self,
environment: Environment,
package: str,
command: List[str],
is_gui: bool) -> None:
super().__init__(environment, package, command, is_gui)
self._shell = self._env.os_version[0] == "Windows" and command[0] == "conda"
def __call__(self) -> int:
""" Override default call function so we don't recursively call ourselves on failure. """
returncode = self.call()
logger.debug("Package: %s, returncode: %s", self._package, returncode)
return returncode
def call(self) -> int:
""" Install a package using the Subprocess module
Returns
-------
int
The return code of the package install process
"""
with Popen(self._command,
bufsize=0, stdout=PIPE, stderr=STDOUT, shell=self._shell) as proc:
while True:
if proc.stdout is not None:
line = proc.stdout.readline().decode(self._env.encoding, errors="replace")
returncode = proc.poll()
if line == "" and returncode is not None:
break
is_cr = line.startswith("\r")
line = line.rstrip()
if line and not is_cr:
if self._last_line_cr:
self._last_line_cr = False
# Go to next line
self._non_gui_print("")
self._seen_line_log(line)
elif line:
self._last_line_cr = True
logger.debug(line)
self._non_gui_print("", end="\r")
return returncode
class Tips():
""" Display installation Tips """
@classmethod
def docker_no_cuda(cls) -> None:
""" Output Tips for Docker without Cuda """
path = os.path.dirname(os.path.realpath(__file__))
logger.info(
"1. Install Docker\n"
"https://www.docker.com/community-edition\n\n"
"2. Build Docker Image For Faceswap\n"
"docker build -t deepfakes-cpu -f Dockerfile.cpu .\n\n"
"3. Mount faceswap volume and Run it\n"
"# without GUI\n"
"docker run -tid -p 8888:8888 \\ \n"
"\t--hostname deepfakes-cpu --name deepfakes-cpu \\ \n"
"\t-v %s:/srv \\ \n"
"\tdeepfakes-cpu\n\n"
"# with gui. tools.py gui working.\n"
"## enable local access to X11 server\n"
"xhost +local:\n"
"## create container\n"
"nvidia-docker run -tid -p 8888:8888 \\ \n"
"\t--hostname deepfakes-cpu --name deepfakes-cpu \\ \n"
"\t-v %s:/srv \\ \n"
"\t-v /tmp/.X11-unix:/tmp/.X11-unix \\ \n"
"\t-e DISPLAY=unix$DISPLAY \\ \n"
"\t-e AUDIO_GID=`getent group audio | cut -d: -f3` \\ \n"
"\t-e VIDEO_GID=`getent group video | cut -d: -f3` \\ \n"
"\t-e GID=`id -g` \\ \n"
"\t-e UID=`id -u` \\ \n"
"\tdeepfakes-cpu \n\n"
"4. Open a new terminal to run faceswap.py in /srv\n"
"docker exec -it deepfakes-cpu bash", path, path)
logger.info("That's all you need to do with a docker. Have fun.")
@classmethod
def docker_cuda(cls) -> None:
""" Output Tips for Docker with Cuda"""
path = os.path.dirname(os.path.realpath(__file__))
logger.info(
"1. Install Docker\n"
"https://www.docker.com/community-edition\n\n"
"2. Install latest CUDA\n"
"CUDA: https://developer.nvidia.com/cuda-downloads\n\n"
"3. Install Nvidia-Docker & Restart Docker Service\n"
"https://github.com/NVIDIA/nvidia-docker\n\n"
"4. Build Docker Image For Faceswap\n"
"docker build -t deepfakes-gpu -f Dockerfile.gpu .\n\n"
"5. Mount faceswap volume and Run it\n"
"# without gui \n"
"docker run -tid -p 8888:8888 \\ \n"
"\t--hostname deepfakes-gpu --name deepfakes-gpu \\ \n"
"\t-v %s:/srv \\ \n"
"\tdeepfakes-gpu\n\n"
"# with gui.\n"
"## enable local access to X11 server\n"
"xhost +local:\n"
"## enable nvidia device if working under bumblebee\n"
"echo ON > /proc/acpi/bbswitch\n"
"## create container\n"
"nvidia-docker run -tid -p 8888:8888 \\ \n"
"\t--hostname deepfakes-gpu --name deepfakes-gpu \\ \n"
"\t-v %s:/srv \\ \n"
"\t-v /tmp/.X11-unix:/tmp/.X11-unix \\ \n"
"\t-e DISPLAY=unix$DISPLAY \\ \n"
"\t-e AUDIO_GID=`getent group audio | cut -d: -f3` \\ \n"
"\t-e VIDEO_GID=`getent group video | cut -d: -f3` \\ \n"
"\t-e GID=`id -g` \\ \n"
"\t-e UID=`id -u` \\ \n"
"\tdeepfakes-gpu\n\n"
"6. Open a new terminal to interact with the project\n"
"docker exec deepfakes-gpu python /srv/faceswap.py gui\n",
path, path)
@classmethod
def macos(cls) -> None:
""" Output Tips for macOS"""
logger.info(
"setup.py does not directly support macOS. The following tips should help:\n\n"
"1. Install system dependencies:\n"
"XCode from the Apple Store\n"
"XQuartz: https://www.xquartz.org/\n\n"
"2a. It is recommended to use Anaconda for your Python Virtual Environment as this\n"
"will handle the installation of CUDA and cuDNN for you:\n"
"https://www.anaconda.com/distribution/\n\n"
"2b. If you do not want to use Anaconda you will need to manually install CUDA and "
"cuDNN:\n"
"CUDA: https://developer.nvidia.com/cuda-downloads"
"cuDNN: https://developer.nvidia.com/rdp/cudnn-download\n\n")
@classmethod
def pip(cls) -> None:
""" Pip Tips """
logger.info("1. Install PIP requirements\n"
"You may want to execute `chcp 65001` in cmd line\n"
"to fix Unicode issues on Windows when installing dependencies")
if __name__ == "__main__":
logfile = os.path.join(os.path.dirname(os.path.realpath(sys.argv[0])), "faceswap_setup.log")
log_setup("INFO", logfile, "setup")
logger.debug("Setup called with args: %s", sys.argv)
ENV = Environment()
Checks(ENV)
ENV.set_config()
if _INSTALL_FAILED:
sys.exit(1)
Install(ENV)
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