Source code for

#!/usr/bin/env python3
# thoth-adviser
# Copyright(C) 2021 Fridolin Pokorny
# This program is free software: you can redistribute it and / or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY without even the implied warranty of
# GNU General Public License for more details.
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <>.

"""A boot to check if GPU specific recommendations should be done."""

import logging
from typing import Any
from typing import Dict
from typing import Generator
from typing import TYPE_CHECKING

import attr

from thoth.common import get_justification_link as jl

from ..boot import Boot

    from ..pipeline_builder import PipelineBuilderContext

_LOGGER = logging.getLogger(__name__)

[docs]@attr.s(slots=True) class GPUBoot(Boot): """A boot to check if GPU specific recommendations should be done.""" _MESSAGE_NO_GPU = "CUDA version provided but no GPU model available, turning off GPU specific recommendations" _MESSAGE_NO_CUDA = "GPU model provided but no CUDA version available, turning off GPU specific recommendations" _JUSTIFICATION_LINK = jl("no_gpu")
[docs] @classmethod def should_include(cls, builder_context: "PipelineBuilderContext") -> Generator[Dict[str, Any], None, None]: """Register self, always.""" if not builder_context.is_included(cls) and ( builder_context.project.runtime_environment.cuda_version or builder_context.project.runtime_environment.hardware.gpu_model ): yield {} return None yield from () return None
[docs] def run(self) -> None: """Check if GPU enabled recommendations should be done.""" if ( self.context.project.runtime_environment.cuda_version and not self.context.project.runtime_environment.hardware.gpu_model ): _LOGGER.warning(self._MESSAGE_NO_GPU) self.context.stack_info.append( { "type": "WARNING", "message": self._MESSAGE_NO_GPU, "link": self._JUSTIFICATION_LINK, } ) self.context.project.runtime_environment.cuda_version = None elif ( not self.context.project.runtime_environment.cuda_version and self.context.project.runtime_environment.hardware.gpu_model ): _LOGGER.warning(self._MESSAGE_NO_CUDA) self.context.stack_info.append( { "type": "WARNING", "message": self._MESSAGE_NO_CUDA, "link": self._JUSTIFICATION_LINK, } ) self.context.project.runtime_environment.hardware.gpu_model = None