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feat: detect when the resolved torch/CUDA ships no kernels for the local GPU #3104
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,199 @@ | ||
| package doctor | ||
|
|
||
| import ( | ||
| "context" | ||
| "fmt" | ||
| "os" | ||
| "os/exec" | ||
| "sort" | ||
| "strconv" | ||
| "strings" | ||
|
|
||
| "github.com/replicate/cog/pkg/util/version" | ||
| ) | ||
|
|
||
| // GPUFloor is the oldest torch (and CUDA) release that ships executable kernels for a | ||
| // given compute capability. | ||
| // | ||
| // CUDA cubins are binary-compatible only within a compute capability major; crossing majors | ||
| // requires embedded PTX for the driver to JIT, which older torch wheels do not ship. Both | ||
| // bounds matter: torch 2.7.0+cu118 is a genuine 2.7 build with no Blackwell kernels. | ||
| type GPUFloor struct { | ||
| MinTorch string | ||
| MinCUDA string | ||
| } | ||
|
|
||
| // gpuFloors maps compute capability (major, minor) to its floor. Lookup takes the highest | ||
| // entry the device meets or exceeds; a device below every entry yields no finding. | ||
| // | ||
| // Measured by installing each wheel and reading torch._C._cuda_getArchFlags(), which works | ||
| // without a GPU. Each floor is bracketed: the named version ships kernels for the | ||
| // capability, the release below it does not. | ||
| // | ||
| // torch 2.7.0+cu128 cubins: sm_75 sm_80 sm_86 sm_90 sm_100 sm_120 PTX: compute_120 | ||
| // torch 2.6.0+cu126 cubins: sm_50 ... sm_90 PTX: none | ||
| // torch 2.4.1+cu124 cubins: sm_50 ... sm_90 PTX: none | ||
| // torch 2.0.1+cu118 cubins: sm_37 ... sm_90 PTX: none | ||
| // torch 1.13.1+cu117 cubins: sm_37 ... sm_86 PTX: none | ||
| // | ||
| // No rows below sm_90: every probed wheel already covers Turing/Ampere/Ada, so those floors | ||
| // cannot be bracketed. When extending, bracket the new row the same way rather than guess. | ||
| // | ||
| // sm_89 (Ada) appears in no cubin list yet RTX 40xx works: sm_86 cubins run on sm_89 (same | ||
| // major). sm_120 gets no such fallback from sm_90. | ||
| var gpuFloors = map[[2]int]GPUFloor{ | ||
| {12, 0}: {MinTorch: "2.7.0", MinCUDA: "12.8"}, // Blackwell consumer, RTX 50xx | ||
| {10, 0}: {MinTorch: "2.7.0", MinCUDA: "12.8"}, // Blackwell datacenter, B100/B200 | ||
| {9, 0}: {MinTorch: "2.0.1", MinCUDA: "11.8"}, // Hopper, H100 | ||
| } | ||
|
|
||
| // GPUCompatibilityCheck verifies that the resolved torch/CUDA versions can execute on this | ||
| // machine's GPU. Cog derives CUDA from the framework pin without consulting the device, so | ||
| // a build can succeed and produce an image where every CUDA operation fails at runtime with | ||
| // "no kernel image is available for execution on the device". | ||
| type GPUCompatibilityCheck struct{} | ||
|
|
||
| func (c *GPUCompatibilityCheck) Name() string { return "env-gpu-compat" } | ||
| func (c *GPUCompatibilityCheck) Group() Group { return GroupEnvironment } | ||
| func (c *GPUCompatibilityCheck) Description() string { return "GPU compatibility" } | ||
|
|
||
| func (c *GPUCompatibilityCheck) Check(ctx *CheckContext) ([]Finding, error) { | ||
| if os.Getenv("COG_SKIP_GPU_CHECK") != "" { | ||
| return nil, nil | ||
| } | ||
| if ctx.Config == nil || !ctx.Config.Build.GPU { | ||
| return nil, nil | ||
| } | ||
|
|
||
| torchVersion, hasTorch := ctx.Config.TorchVersion() | ||
| if !hasTorch { | ||
| return nil, nil | ||
| } | ||
|
|
||
| capability, ok := detectComputeCapability(ctx.ctx) | ||
| if !ok { | ||
| // No GPU on this machine (or no driver); nothing to compare against. | ||
| return nil, nil | ||
| } | ||
|
|
||
| return evaluateGPUCompat(capability, torchVersion, ctx.Config.Build.CUDA), nil | ||
| } | ||
|
|
||
| // evaluateGPUCompat compares a resolved torch/CUDA pair against the floor for the given | ||
| // compute capability. Kept free of I/O so it is testable without a GPU. | ||
| func evaluateGPUCompat(capability [2]int, torchVersion string, cuda string) []Finding { | ||
| floor, ok := floorFor(capability) | ||
| if !ok { | ||
| // Older than any floor we know; say nothing rather than guess. | ||
| return nil | ||
| } | ||
|
|
||
| if torchVersion == "" { | ||
| // torch listed but unpinned; pip resolves a current release. Nothing to compare. | ||
| return nil | ||
| } | ||
|
|
||
| torchOK := version.GreaterOrEqual(torchVersion, floor.MinTorch) | ||
|
anish-sahoo marked this conversation as resolved.
Outdated
|
||
| cudaOK := cuda == "" || version.GreaterOrEqual(cuda, floor.MinCUDA) | ||
| if torchOK && cudaOK { | ||
| return nil | ||
| } | ||
|
|
||
| sm := fmt.Sprintf("sm_%d%d", capability[0], capability[1]) | ||
| // Warning, not error: the image is valid and runs on other hardware; it only fails on | ||
| // this machine's GPU (same taxonomy as PythonVersionCheck). | ||
| return []Finding{{ | ||
| Severity: SeverityWarning, | ||
| Message: fmt.Sprintf( | ||
| "torch==%s (CUDA %s) ships no kernels for %s, the compute capability of this machine's GPU. "+ | ||
| "The image will build, but every CUDA operation in it will fail at runtime with "+ | ||
| "\"no kernel image is available for execution on the device\".", | ||
| torchVersion, cudaDisplay(cuda), sm, | ||
| ), | ||
| Remediation: fmt.Sprintf( | ||
| "%s requires torch>=%s built against CUDA>=%s. Pin a newer torch, or set "+ | ||
| "COG_SKIP_GPU_CHECK=1 if you are building for a different GPU than the one in this machine.", | ||
| sm, floor.MinTorch, floor.MinCUDA, | ||
| ), | ||
| }} | ||
| } | ||
|
|
||
| func (c *GPUCompatibilityCheck) Fix(_ *CheckContext, _ []Finding) error { | ||
| return ErrNoAutoFix | ||
| } | ||
|
|
||
| func cudaDisplay(cuda string) string { | ||
| if cuda == "" { | ||
| return "unset" | ||
| } | ||
| return cuda | ||
| } | ||
|
|
||
| // detectComputeCapability returns the lowest compute capability among the machine's GPUs: | ||
| // the image has to run on the weakest device present. | ||
| func detectComputeCapability(ctx context.Context) ([2]int, bool) { | ||
| execCtx, cancel := context.WithTimeout(ctx, envCheckTimeout) | ||
| defer cancel() | ||
|
|
||
| out, err := exec.CommandContext(execCtx, | ||
| "nvidia-smi", "--query-gpu=compute_cap", "--format=csv,noheader").Output() | ||
| if err != nil { | ||
| return [2]int{}, false | ||
| } | ||
|
|
||
| var caps [][2]int | ||
| for line := range strings.SplitSeq(string(out), "\n") { | ||
| if c, ok := parseCapability(line); ok { | ||
| caps = append(caps, c) | ||
| } | ||
| } | ||
| if len(caps) == 0 { | ||
| return [2]int{}, false | ||
| } | ||
|
|
||
| sort.Slice(caps, func(i, j int) bool { | ||
| if caps[i][0] != caps[j][0] { | ||
| return caps[i][0] < caps[j][0] | ||
| } | ||
| return caps[i][1] < caps[j][1] | ||
| }) | ||
| return caps[0], true | ||
|
anish-sahoo marked this conversation as resolved.
Outdated
|
||
| } | ||
|
|
||
| // parseCapability parses a single nvidia-smi compute_cap value, e.g. "12.0". | ||
| func parseCapability(s string) ([2]int, bool) { | ||
| majorStr, minorStr, found := strings.Cut(strings.TrimSpace(s), ".") | ||
| if !found { | ||
| return [2]int{}, false | ||
| } | ||
| major, err := strconv.Atoi(majorStr) | ||
| if err != nil { | ||
| return [2]int{}, false | ||
| } | ||
| minor, err := strconv.Atoi(minorStr) | ||
| if err != nil { | ||
| return [2]int{}, false | ||
| } | ||
| return [2]int{major, minor}, true | ||
| } | ||
|
|
||
| // floorFor returns the floor for the highest table entry the device meets or exceeds. | ||
| func floorFor(capability [2]int) (GPUFloor, bool) { | ||
| keys := make([][2]int, 0, len(gpuFloors)) | ||
| for k := range gpuFloors { | ||
| keys = append(keys, k) | ||
| } | ||
| sort.Slice(keys, func(i, j int) bool { | ||
| if keys[i][0] != keys[j][0] { | ||
| return keys[i][0] > keys[j][0] | ||
| } | ||
| return keys[i][1] > keys[j][1] | ||
| }) | ||
|
|
||
| for _, k := range keys { | ||
| if capability[0] > k[0] || (capability[0] == k[0] && capability[1] >= k[1]) { | ||
| return gpuFloors[k], true | ||
| } | ||
| } | ||
| return GPUFloor{}, false | ||
| } | ||
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,171 @@ | ||
| package doctor | ||
|
|
||
| import ( | ||
| "context" | ||
| "testing" | ||
|
|
||
| "github.com/stretchr/testify/assert" | ||
| "github.com/stretchr/testify/require" | ||
|
|
||
| "github.com/replicate/cog/pkg/config" | ||
| ) | ||
|
|
||
| func gpuContext(t *testing.T, gpu bool, torch string, cuda string) *CheckContext { | ||
| t.Helper() | ||
| cfg := &config.Config{ | ||
| Build: &config.Build{ | ||
| GPU: gpu, | ||
| PythonVersion: "3.11", | ||
| PythonPackages: []string{"torch==" + torch}, | ||
| CUDA: cuda, | ||
| }, | ||
| } | ||
| // Complete populates the requirements content that TorchVersion reads; without it the | ||
| // check skips before reaching the comparison. | ||
| require.NoError(t, cfg.Complete(t.TempDir())) | ||
| return &CheckContext{ctx: context.Background(), ProjectDir: t.TempDir(), Config: cfg} | ||
| } | ||
|
|
||
| func TestGPUCompatibilityCheck_RunsWithoutError(t *testing.T) { | ||
| // A GPU may or may not be present in the test environment; just ensure no panic or error. | ||
| ctx := gpuContext(t, true, "2.4.1", "12.4") | ||
| _, err := (&GPUCompatibilityCheck{}).Check(ctx) | ||
|
anish-sahoo marked this conversation as resolved.
Outdated
|
||
| require.NoError(t, err) | ||
| } | ||
|
|
||
| func TestGPUCompatibilityCheck_SkipsWhenDisabled(t *testing.T) { | ||
| t.Setenv("COG_SKIP_GPU_CHECK", "1") | ||
| ctx := gpuContext(t, true, "2.4.1", "12.4") | ||
|
|
||
| findings, err := (&GPUCompatibilityCheck{}).Check(ctx) | ||
|
|
||
| require.NoError(t, err) | ||
| require.Empty(t, findings) | ||
| } | ||
|
|
||
| func TestGPUCompatibilityCheck_SkipsWhenGPUNotRequested(t *testing.T) { | ||
| ctx := gpuContext(t, false, "2.4.1", "12.4") | ||
|
|
||
| findings, err := (&GPUCompatibilityCheck{}).Check(ctx) | ||
|
|
||
| require.NoError(t, err) | ||
| require.Empty(t, findings) | ||
| } | ||
|
|
||
| func TestGPUCompatibilityCheck_SkipsWhenNoConfig(t *testing.T) { | ||
| ctx := &CheckContext{ctx: context.Background(), ProjectDir: t.TempDir()} | ||
|
|
||
| findings, err := (&GPUCompatibilityCheck{}).Check(ctx) | ||
|
|
||
| require.NoError(t, err) | ||
| require.Empty(t, findings) | ||
| } | ||
|
|
||
| func TestGPUCompatibilityCheck_FixReturnsNoAutoFix(t *testing.T) { | ||
| require.ErrorIs(t, (&GPUCompatibilityCheck{}).Fix(nil, nil), ErrNoAutoFix) | ||
| } | ||
|
|
||
| // The comparison logic is pure; these exercise it without a GPU. | ||
|
|
||
| func TestEvaluateGPUCompat(t *testing.T) { | ||
| for _, tt := range []struct { | ||
| name string | ||
| capability [2]int | ||
| torch string | ||
| cuda string | ||
| fires bool | ||
| }{ | ||
| // sm_120 (Blackwell consumer): needs torch>=2.7.0 AND CUDA>=12.8. | ||
| {"sm_120 old torch fires", [2]int{12, 0}, "2.4.1", "12.4", true}, | ||
| {"sm_120 new torch passes", [2]int{12, 0}, "2.7.0", "12.8", false}, | ||
| {"sm_120 local version tag passes", [2]int{12, 0}, "2.7.1+cu128", "12.8", false}, | ||
| // Both bounds are load-bearing: torch 2.7.0+cu118 is a genuine 2.7 build with no | ||
| // Blackwell kernels in it. | ||
| {"sm_120 new torch but old CUDA fires", [2]int{12, 0}, "2.7.0", "11.8", true}, | ||
| {"sm_120 unset CUDA defers to torch bound", [2]int{12, 0}, "2.7.0", "", false}, | ||
| // torch listed but unpinned: pip resolves a current release; nothing to compare. | ||
| {"unpinned torch is silent", [2]int{12, 0}, "", "", false}, | ||
| // sm_90 (Hopper): needs torch>=2.0.1. | ||
| {"sm_90 old torch fires", [2]int{9, 0}, "1.13.1", "11.7", true}, | ||
| {"sm_90 new torch passes", [2]int{9, 0}, "2.0.1", "11.8", false}, | ||
| // An unknown newer capability falls back to the highest floor it exceeds. | ||
| {"unknown sm_130 old torch fires", [2]int{13, 0}, "2.4.1", "12.4", true}, | ||
| {"unknown sm_130 new torch passes", [2]int{13, 0}, "2.7.0", "12.8", false}, | ||
| // Below every floor: no row, no finding. | ||
| {"sm_86 below all floors is silent", [2]int{8, 6}, "1.13.1", "11.7", false}, | ||
| } { | ||
| t.Run(tt.name, func(t *testing.T) { | ||
| findings := evaluateGPUCompat(tt.capability, tt.torch, tt.cuda) | ||
| if !tt.fires { | ||
| require.Empty(t, findings) | ||
| return | ||
| } | ||
| require.Len(t, findings, 1) | ||
| assert.Equal(t, SeverityWarning, findings[0].Severity) | ||
| assert.Contains(t, findings[0].Message, "torch=="+tt.torch) | ||
| assert.Contains(t, findings[0].Message, "no kernels for") | ||
| assert.Contains(t, findings[0].Remediation, "COG_SKIP_GPU_CHECK=1") | ||
| }) | ||
| } | ||
| } | ||
|
|
||
| func TestEvaluateGPUCompat_Message(t *testing.T) { | ||
| findings := evaluateGPUCompat([2]int{12, 0}, "2.4.1", "12.4") | ||
|
|
||
| require.Len(t, findings, 1) | ||
| assert.Contains(t, findings[0].Message, "torch==2.4.1 (CUDA 12.4) ships no kernels for sm_120") | ||
| assert.Contains(t, findings[0].Message, "no kernel image is available for execution on the device") | ||
| assert.Contains(t, findings[0].Remediation, "sm_120 requires torch>=2.7.0 built against CUDA>=12.8") | ||
| } | ||
|
|
||
| func TestFloorFor(t *testing.T) { | ||
| for _, tt := range []struct { | ||
| name string | ||
| cc [2]int | ||
| torch string | ||
| cuda string | ||
| found bool | ||
| }{ | ||
| {"blackwell consumer sm_120", [2]int{12, 0}, "2.7.0", "12.8", true}, | ||
| {"blackwell datacenter sm_100", [2]int{10, 0}, "2.7.0", "12.8", true}, | ||
| {"hopper sm_90", [2]int{9, 0}, "2.0.1", "11.8", true}, | ||
| // An unknown newer capability falls back to the highest floor it exceeds. | ||
| {"unknown newer sm_130", [2]int{13, 0}, "2.7.0", "12.8", true}, | ||
| // No rows below sm_90: every probed wheel already covers Ada/Ampere/Turing, so those | ||
| // floors cannot be bracketed. Say nothing rather than guess. | ||
| {"ada sm_89 has no floor", [2]int{8, 9}, "", "", false}, | ||
| {"ampere sm_86 has no floor", [2]int{8, 6}, "", "", false}, | ||
| {"turing sm_75 has no floor", [2]int{7, 5}, "", "", false}, | ||
| {"pascal sm_61 has no floor", [2]int{6, 1}, "", "", false}, | ||
| } { | ||
| t.Run(tt.name, func(t *testing.T) { | ||
| floor, ok := floorFor(tt.cc) | ||
| require.Equal(t, tt.found, ok) | ||
| if tt.found { | ||
| require.Equal(t, tt.torch, floor.MinTorch) | ||
| require.Equal(t, tt.cuda, floor.MinCUDA) | ||
| } | ||
| }) | ||
| } | ||
| } | ||
|
|
||
| func TestParseCapability(t *testing.T) { | ||
| for _, tt := range []struct { | ||
| in string | ||
| want [2]int | ||
| valid bool | ||
| }{ | ||
| {"12.0", [2]int{12, 0}, true}, | ||
| {"8.6\n", [2]int{8, 6}, true}, | ||
| {" 9.0 ", [2]int{9, 0}, true}, | ||
| {"", [2]int{}, false}, | ||
| {"not a version", [2]int{}, false}, | ||
| {"12", [2]int{}, false}, | ||
| } { | ||
| got, ok := parseCapability(tt.in) | ||
| require.Equal(t, tt.valid, ok, "input %q", tt.in) | ||
| if tt.valid { | ||
| require.Equal(t, tt.want, got, "input %q", tt.in) | ||
| } | ||
| } | ||
| } | ||
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