/** # Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. **/ package modifier import ( "fmt" "github.com/NVIDIA/nvidia-container-toolkit/internal/config" "github.com/NVIDIA/nvidia-container-toolkit/internal/config/image" "github.com/NVIDIA/nvidia-container-toolkit/internal/cuda" "github.com/NVIDIA/nvidia-container-toolkit/internal/discover" "github.com/NVIDIA/nvidia-container-toolkit/internal/discover/csv" "github.com/NVIDIA/nvidia-container-toolkit/internal/discover/tegra" "github.com/NVIDIA/nvidia-container-toolkit/internal/logger" "github.com/NVIDIA/nvidia-container-toolkit/internal/oci" "github.com/NVIDIA/nvidia-container-toolkit/internal/requirements" ) // csvMode represents the modifications as performed by the csv runtime mode type csvMode struct { logger logger.Interface discoverer discover.Discover } const ( visibleDevicesEnvvar = "NVIDIA_VISIBLE_DEVICES" visibleDevicesVoid = "void" nvidiaRequireJetpackEnvvar = "NVIDIA_REQUIRE_JETPACK" ) // NewCSVModifier creates a modifier that applies modications to an OCI spec if required by the runtime wrapper. // The modifications are defined by CSV MountSpecs. func NewCSVModifier(logger logger.Interface, cfg *config.Config, image image.CUDA) (oci.SpecModifier, error) { if devices := image.DevicesFromEnvvars(visibleDevicesEnvvar); len(devices.List()) == 0 { logger.Infof("No modification required; no devices requested") return nil, nil } logger.Infof("Constructing modifier from config: %+v", *cfg) if err := checkRequirements(logger, image); err != nil { return nil, fmt.Errorf("requirements not met: %v", err) } csvFiles, err := csv.GetFileList(cfg.NVIDIAContainerRuntimeConfig.Modes.CSV.MountSpecPath) if err != nil { return nil, fmt.Errorf("failed to get list of CSV files: %v", err) } if nvidiaRequireJetpack, _ := image[nvidiaRequireJetpackEnvvar]; nvidiaRequireJetpack != "csv-mounts=all" { csvFiles = csv.BaseFilesOnly(csvFiles) } d, err := tegra.New( tegra.WithLogger(logger), tegra.WithDriverRoot(cfg.NVIDIAContainerCLIConfig.Root), tegra.WithNVIDIACTKPath(cfg.NVIDIACTKConfig.Path), tegra.WithCSVFiles(csvFiles), ) if err != nil { return nil, fmt.Errorf("failed to construct discoverer: %v", err) } discoverModifier, err := NewModifierFromDiscoverer(logger, d) if err != nil { return nil, fmt.Errorf("failed to construct modifier: %v", err) } modifiers := Merge( nvidiaContainerRuntimeHookRemover{logger}, discoverModifier, ) return modifiers, nil } func checkRequirements(logger logger.Interface, image image.CUDA) error { if image.HasDisableRequire() { // TODO: We could print the real value here instead logger.Debugf("NVIDIA_DISABLE_REQUIRE=%v; skipping requirement checks", true) return nil } imageRequirements, err := image.GetRequirements() if err != nil { // TODO: Should we treat this as a failure, or just issue a warning? return fmt.Errorf("failed to get image requirements: %v", err) } r := requirements.New(logger, imageRequirements) cudaVersion, err := cuda.Version() if err != nil { logger.Warningf("Failed to get CUDA version: %v", err) } else { r.AddVersionProperty(requirements.CUDA, cudaVersion) } compteCapability, err := cuda.ComputeCapability(0) if err != nil { logger.Warningf("Failed to get CUDA Compute Capability: %v", err) } else { r.AddVersionProperty(requirements.ARCH, compteCapability) } return r.Assert() }