mirror of
https://github.com/NVIDIA/nvidia-container-toolkit
synced 2024-11-22 16:29:18 +00:00
c90211e070
For users running the nvidia-container-runtime it would be useful to determine the runtime mode used from the logs directly instead of relying on other log messages as signals. This change ensures that an explicitly selected mode is also logged instead of only when mode=auto. Signed-off-by: Evan Lezar <elezar@nvidia.com>
92 lines
2.5 KiB
Go
92 lines
2.5 KiB
Go
/**
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# Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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**/
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package info
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import (
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"github.com/NVIDIA/go-nvlib/pkg/nvlib/device"
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"github.com/NVIDIA/go-nvlib/pkg/nvlib/info"
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"github.com/NVIDIA/go-nvlib/pkg/nvml"
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"github.com/NVIDIA/nvidia-container-toolkit/internal/config/image"
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"github.com/NVIDIA/nvidia-container-toolkit/internal/logger"
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)
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// infoInterface provides an alias for mocking.
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//
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//go:generate moq -stub -out info-interface_mock.go . infoInterface
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type infoInterface interface {
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info.Interface
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// UsesNVGPUModule indicates whether the system is using the nvgpu kernel module
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UsesNVGPUModule() (bool, string)
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}
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type resolver struct {
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logger logger.Interface
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info infoInterface
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}
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// ResolveAutoMode determines the correct mode for the platform if set to "auto"
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func ResolveAutoMode(logger logger.Interface, mode string, image image.CUDA) (rmode string) {
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nvinfo := info.New()
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nvmllib := nvml.New()
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devicelib := device.New(
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device.WithNvml(nvmllib),
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)
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info := additionalInfo{
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Interface: nvinfo,
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nvmllib: nvmllib,
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devicelib: devicelib,
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}
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r := resolver{
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logger: logger,
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info: info,
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}
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return r.resolveMode(mode, image)
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}
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// resolveMode determines the correct mode for the platform if set to "auto"
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func (r resolver) resolveMode(mode string, image image.CUDA) (rmode string) {
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if mode != "auto" {
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r.logger.Infof("Using requested mode '%s'", mode)
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return mode
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}
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defer func() {
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r.logger.Infof("Auto-detected mode as '%v'", rmode)
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}()
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if image.OnlyFullyQualifiedCDIDevices() {
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return "cdi"
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}
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isTegra, reason := r.info.IsTegraSystem()
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r.logger.Debugf("Is Tegra-based system? %v: %v", isTegra, reason)
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hasNVML, reason := r.info.HasNvml()
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r.logger.Debugf("Has NVML? %v: %v", hasNVML, reason)
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usesNVGPUModule, reason := r.info.UsesNVGPUModule()
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r.logger.Debugf("Uses nvgpu kernel module? %v: %v", usesNVGPUModule, reason)
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if (isTegra && !hasNVML) || usesNVGPUModule {
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return "csv"
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}
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return "legacy"
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}
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