From f6f55fa485021a11502c8fe558fce40e320a9c66 Mon Sep 17 00:00:00 2001 From: luke-lombardi <33990301+luke-lombardi@users.noreply.github.com> Date: Wed, 20 Nov 2024 13:29:50 -0500 Subject: [PATCH] Enable multi-gpu containers (#442) - Adds SDK support for multiple GPUs per container **NOTE**: This limits the max gpu_count to 2 for now --- pkg/abstractions/container/container.go | 4 +- pkg/abstractions/endpoint/instance.go | 4 +- pkg/abstractions/function/task.go | 4 +- pkg/abstractions/taskqueue/instance.go | 4 +- pkg/common/config.default.yaml | 1 + pkg/gateway/gateway.proto | 1 + pkg/gateway/services/stub.go | 83 +- pkg/types/backend.go | 15 +- pkg/types/config.go | 1 + proto/gateway.pb.go | 956 +++++++++++----------- sdk/src/beta9/abstractions/base/runner.py | 6 + sdk/src/beta9/abstractions/container.py | 5 + sdk/src/beta9/abstractions/endpoint.py | 15 + sdk/src/beta9/abstractions/function.py | 9 + sdk/src/beta9/abstractions/taskqueue.py | 5 + sdk/src/beta9/clients/gateway/__init__.py | 1 + 16 files changed, 593 insertions(+), 521 deletions(-) diff --git a/pkg/abstractions/container/container.go b/pkg/abstractions/container/container.go index 4550c86e5..5399d9a11 100644 --- a/pkg/abstractions/container/container.go +++ b/pkg/abstractions/container/container.go @@ -158,8 +158,8 @@ func (cs *CmdContainerService) ExecuteCommand(in *pb.CommandExecutionRequest, st gpuRequest = append(gpuRequest, stubConfig.Runtime.Gpu.String()) } - gpuCount := 0 - if len(gpuRequest) > 0 { + gpuCount := stubConfig.Runtime.GpuCount + if stubConfig.RequiresGPU() && gpuCount == 0 { gpuCount = 1 } diff --git a/pkg/abstractions/endpoint/instance.go b/pkg/abstractions/endpoint/instance.go index 5e81c54bd..c6897395b 100644 --- a/pkg/abstractions/endpoint/instance.go +++ b/pkg/abstractions/endpoint/instance.go @@ -68,8 +68,8 @@ func (i *endpointInstance) startContainers(containersToRun int) error { gpuRequest = append(gpuRequest, i.StubConfig.Runtime.Gpu.String()) } - gpuCount := 0 - if len(gpuRequest) > 0 { + gpuCount := i.StubConfig.Runtime.GpuCount + if i.StubConfig.RequiresGPU() && gpuCount == 0 { gpuCount = 1 } diff --git a/pkg/abstractions/function/task.go b/pkg/abstractions/function/task.go index b409c7245..468142478 100644 --- a/pkg/abstractions/function/task.go +++ b/pkg/abstractions/function/task.go @@ -145,8 +145,8 @@ func (t *FunctionTask) run(ctx context.Context, stub *types.StubWithRelated) err gpuRequest = append(gpuRequest, stubConfig.Runtime.Gpu.String()) } - gpuCount := 0 - if len(gpuRequest) > 0 { + gpuCount := stubConfig.Runtime.GpuCount + if stubConfig.RequiresGPU() && gpuCount == 0 { gpuCount = 1 } diff --git a/pkg/abstractions/taskqueue/instance.go b/pkg/abstractions/taskqueue/instance.go index 7b20fe709..f8e85340e 100644 --- a/pkg/abstractions/taskqueue/instance.go +++ b/pkg/abstractions/taskqueue/instance.go @@ -65,8 +65,8 @@ func (i *taskQueueInstance) startContainers(containersToRun int) error { gpuRequest = append(gpuRequest, i.StubConfig.Runtime.Gpu.String()) } - gpuCount := 0 - if len(gpuRequest) > 0 { + gpuCount := i.StubConfig.Runtime.GpuCount + if i.StubConfig.RequiresGPU() && gpuCount == 0 { gpuCount = 1 } diff --git a/pkg/common/config.default.yaml b/pkg/common/config.default.yaml index 7d4881cfd..2a8ebb526 100644 --- a/pkg/common/config.default.yaml +++ b/pkg/common/config.default.yaml @@ -49,6 +49,7 @@ gateway: stubLimits: memory: 32768 maxReplicas: 10 + maxGpuCount: 2 imageService: localCacheEnabled: true registryStore: local diff --git a/pkg/gateway/gateway.proto b/pkg/gateway/gateway.proto index 1cdcc801a..38e3b9516 100644 --- a/pkg/gateway/gateway.proto +++ b/pkg/gateway/gateway.proto @@ -257,6 +257,7 @@ message GetOrCreateStubRequest { TaskPolicy task_policy = 23; uint32 concurrent_requests = 24; string extra = 25; + uint32 gpu_count = 26; } message GetOrCreateStubResponse { diff --git a/pkg/gateway/services/stub.go b/pkg/gateway/services/stub.go index 6bd3d2953..926c060a7 100644 --- a/pkg/gateway/services/stub.go +++ b/pkg/gateway/services/stub.go @@ -30,37 +30,6 @@ func (gws *GatewayService) GetOrCreateStub(ctx context.Context, in *pb.GetOrCrea gpus := types.GPUTypesFromString(in.Gpu) - if len(gpus) > 0 { - concurrencyLimit, err := gws.backendRepo.GetConcurrencyLimitByWorkspaceId(ctx, authInfo.Workspace.ExternalId) - if err != nil && concurrencyLimit != nil && concurrencyLimit.GPULimit <= 0 { - return &pb.GetOrCreateStubResponse{ - Ok: false, - ErrMsg: "GPU concurrency limit is 0.", - }, nil - } - - gpuCounts, err := gws.providerRepo.GetGPUCounts(gws.appConfig.Worker.Pools) - if err != nil { - return &pb.GetOrCreateStubResponse{ - Ok: false, - ErrMsg: "Failed to get GPU counts.", - }, nil - } - - // T4s are currently in a different pool than other GPUs and won't show up in gpu counts - lowGpus := []string{} - - for _, gpu := range gpus { - if gpuCounts[gpu.String()] <= 1 && gpu.String() != types.GPU_T4.String() { - lowGpus = append(lowGpus, gpu.String()) - } - } - - if len(lowGpus) > 0 { - warning = fmt.Sprintf("GPU capacity for %s is currently low.", strings.Join(lowGpus, ", ")) - } - } - autoscaler := &types.Autoscaler{} if in.Autoscaler.Type == "" { autoscaler.Type = types.QueueDepthAutoscaler @@ -83,12 +52,20 @@ func (gws *GatewayService) GetOrCreateStub(ctx context.Context, in *pb.GetOrCrea in.Extra = "{}" } + if in.GpuCount > gws.appConfig.GatewayService.StubLimits.MaxGpuCount { + return &pb.GetOrCreateStubResponse{ + Ok: false, + ErrMsg: fmt.Sprintf("GPU count must be %d or less.", gws.appConfig.GatewayService.StubLimits.MaxGpuCount), + }, nil + } + stubConfig := types.StubConfigV1{ Runtime: types.Runtime{ - Cpu: in.Cpu, - Gpus: gpus, - Memory: in.Memory, - ImageId: in.ImageId, + Cpu: in.Cpu, + Gpus: gpus, + GpuCount: in.GpuCount, + Memory: in.Memory, + ImageId: in.ImageId, }, Handler: in.Handler, OnStart: in.OnStart, @@ -106,6 +83,42 @@ func (gws *GatewayService) GetOrCreateStub(ctx context.Context, in *pb.GetOrCrea Extra: json.RawMessage(in.Extra), } + // Ensure GPU count is at least 1 if a GPU is required + if stubConfig.RequiresGPU() && in.GpuCount == 0 { + stubConfig.Runtime.GpuCount = 1 + } + + if stubConfig.RequiresGPU() { + concurrencyLimit, err := gws.backendRepo.GetConcurrencyLimitByWorkspaceId(ctx, authInfo.Workspace.ExternalId) + if err != nil && concurrencyLimit != nil && concurrencyLimit.GPULimit <= 0 { + return &pb.GetOrCreateStubResponse{ + Ok: false, + ErrMsg: "GPU concurrency limit is 0.", + }, nil + } + + gpuCounts, err := gws.providerRepo.GetGPUCounts(gws.appConfig.Worker.Pools) + if err != nil { + return &pb.GetOrCreateStubResponse{ + Ok: false, + ErrMsg: "Failed to get GPU counts.", + }, nil + } + + // T4s are currently in a different pool than other GPUs and won't show up in gpu counts + lowGpus := []string{} + + for _, gpu := range gpus { + if gpuCounts[gpu.String()] <= 1 && gpu.String() != types.GPU_T4.String() { + lowGpus = append(lowGpus, gpu.String()) + } + } + + if len(lowGpus) > 0 { + warning = fmt.Sprintf("GPU capacity for %s is currently low.", strings.Join(lowGpus, ", ")) + } + } + // Get secrets for _, secret := range in.Secrets { secret, err := gws.backendRepo.GetSecretByName(ctx, authInfo.Workspace, secret.Name) diff --git a/pkg/types/backend.go b/pkg/types/backend.go index ec99d5603..9ce1d9b6a 100644 --- a/pkg/types/backend.go +++ b/pkg/types/backend.go @@ -185,6 +185,10 @@ type StubConfigV1 struct { Extra json.RawMessage `json:"extra"` } +func (c *StubConfigV1) RequiresGPU() bool { + return len(c.Runtime.Gpus) > 0 || c.Runtime.Gpu != "" +} + type AutoscalerType string const ( @@ -290,11 +294,12 @@ type Image struct { } type Runtime struct { - Cpu int64 `json:"cpu"` - Gpu GpuType `json:"gpu"` - Memory int64 `json:"memory"` - ImageId string `json:"image_id"` - Gpus []GpuType `json:"gpus"` + Cpu int64 `json:"cpu"` + Gpu GpuType `json:"gpu"` + GpuCount uint32 `json:"gpu_count"` + Memory int64 `json:"memory"` + ImageId string `json:"image_id"` + Gpus []GpuType `json:"gpus"` } type GpuType string diff --git a/pkg/types/config.go b/pkg/types/config.go index 1799724b0..3abcb90aa 100644 --- a/pkg/types/config.go +++ b/pkg/types/config.go @@ -87,6 +87,7 @@ type CORSConfig struct { type StubLimits struct { Memory uint64 `key:"memory" json:"memory"` MaxReplicas uint64 `key:"maxReplicas" json:"max_replicas"` + MaxGpuCount uint32 `key:"maxGpuCount" json:"max_gpu_count"` } type GatewayServiceConfig struct { diff --git a/proto/gateway.pb.go b/proto/gateway.pb.go index 4d350d5d1..9715ad3ee 100644 --- a/proto/gateway.pb.go +++ b/proto/gateway.pb.go @@ -2035,6 +2035,7 @@ type GetOrCreateStubRequest struct { TaskPolicy *TaskPolicy `protobuf:"bytes,23,opt,name=task_policy,json=taskPolicy,proto3" json:"task_policy,omitempty"` ConcurrentRequests uint32 `protobuf:"varint,24,opt,name=concurrent_requests,json=concurrentRequests,proto3" json:"concurrent_requests,omitempty"` Extra string `protobuf:"bytes,25,opt,name=extra,proto3" json:"extra,omitempty"` + GpuCount uint32 `protobuf:"varint,26,opt,name=gpu_count,json=gpuCount,proto3" json:"gpu_count,omitempty"` } func (x *GetOrCreateStubRequest) Reset() { @@ -2237,6 +2238,13 @@ func (x *GetOrCreateStubRequest) GetExtra() string { return "" } +func (x *GetOrCreateStubRequest) GetGpuCount() uint32 { + if x != nil { + return x.GpuCount + } + return 0 +} + type GetOrCreateStubResponse struct { state protoimpl.MessageState sizeCache protoimpl.SizeCache @@ -5172,7 +5180,7 @@ var file_gateway_proto_rawDesc = []byte{ 0x52, 0x07, 0x74, 0x69, 0x6d, 0x65, 0x6f, 0x75, 0x74, 0x12, 0x1f, 0x0a, 0x0b, 0x6d, 0x61, 0x78, 0x5f, 0x72, 0x65, 0x74, 0x72, 0x69, 0x65, 0x73, 0x18, 0x02, 0x20, 0x01, 0x28, 0x0d, 0x52, 0x0a, 0x6d, 0x61, 0x78, 0x52, 0x65, 0x74, 0x72, 0x69, 0x65, 0x73, 0x12, 0x10, 0x0a, 0x03, 0x74, 0x74, - 0x6c, 0x18, 0x03, 0x20, 0x01, 0x28, 0x0d, 0x52, 0x03, 0x74, 0x74, 0x6c, 0x22, 0xb0, 0x06, 0x0a, + 0x6c, 0x18, 0x03, 0x20, 0x01, 0x28, 0x0d, 0x52, 0x03, 0x74, 0x74, 0x6c, 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self.workers = workers @@ -130,6 +132,9 @@ def __init__( ) self.extra: dict = {} + if (self.gpu != "" or len(self.gpu) > 0) and self.gpu_count == 0: + self.gpu_count = 1 + if on_start is not None: self._map_callable_to_attr(attr="on_start", func=on_start) @@ -402,6 +407,7 @@ def prepare_runtime( cpu=self.cpu, memory=self.memory, gpu=self.gpu, + gpu_count=self.gpu_count, handler=self.handler, on_start=self.on_start, callback_url=self.callback_url, diff --git a/sdk/src/beta9/abstractions/container.py b/sdk/src/beta9/abstractions/container.py index e9f981c5c..5e5b9e25e 100644 --- a/sdk/src/beta9/abstractions/container.py +++ b/sdk/src/beta9/abstractions/container.py @@ -32,6 +32,9 @@ class Container(RunnerAbstraction): applicable or no GPU required, leave it empty. You can specify multiple GPUs by providing a list of GpuTypeAlias. If you specify several GPUs, the scheduler prioritizes their selection based on their order in the list. + gpu_count (int): + The number of GPUs allocated to the container. Default is 0. If a GPU is + specified but this value is set to 0, it will be automatically updated to 1. image (Union[Image, dict]): The container image used for the task execution. Default is [Image](#image). volumes (Optional[List[Volume]]): @@ -61,6 +64,7 @@ def __init__( cpu: Union[int, float, str] = 1.0, memory: Union[int, str] = 128, gpu: Union[GpuTypeAlias, List[GpuTypeAlias]] = GpuType.NoGPU, + gpu_count: int = 0, image: Image = Image(), volumes: Optional[List[Volume]] = None, secrets: Optional[List[str]] = None, @@ -70,6 +74,7 @@ def __init__( cpu=cpu, memory=memory, gpu=gpu, + gpu_count=gpu_count, image=image, volumes=volumes, secrets=secrets, diff --git a/sdk/src/beta9/abstractions/endpoint.py b/sdk/src/beta9/abstractions/endpoint.py index 42a0186dc..18d1f4c35 100644 --- a/sdk/src/beta9/abstractions/endpoint.py +++ b/sdk/src/beta9/abstractions/endpoint.py @@ -46,6 +46,9 @@ class Endpoint(RunnerAbstraction): applicable or no GPU required, leave it empty. You can specify multiple GPUs by providing a list of GpuTypeAlias. If you specify several GPUs, the scheduler prioritizes their selection based on their order in the list. + gpu_count (int): + The number of GPUs allocated to the container. Default is 0. If a GPU is + specified but this value is set to 0, it will be automatically updated to 1. image (Union[Image, dict]): The container image used for the task execution. Default is [Image](#image). volumes (Optional[List[Volume]]): @@ -110,6 +113,7 @@ def __init__( cpu: Union[int, float, str] = 1.0, memory: Union[int, str] = 128, gpu: Union[GpuTypeAlias, List[GpuTypeAlias]] = GpuType.NoGPU, + gpu_count: int = 0, image: Image = Image(), timeout: int = 180, workers: int = 1, @@ -128,6 +132,7 @@ def __init__( cpu=cpu, memory=memory, gpu=gpu, + gpu_count=gpu_count, image=image, workers=workers, timeout=timeout, @@ -170,6 +175,9 @@ class ASGI(Endpoint): gpu (Union[GpuType, str]): The type or name of the GPU device to be used for GPU-accelerated tasks. If not applicable or no GPU required, leave it empty. Default is [GpuType.NoGPU](#gputype). + gpu_count (int): + The number of GPUs allocated to the container. Default is 0. If a GPU is + specified but this value is set to 0, it will be automatically updated to 1. image (Union[Image, dict]): The container image used for the task execution. Default is [Image](#image). volumes (Optional[List[Volume]]): @@ -247,6 +255,7 @@ def __init__( cpu: Union[int, float, str] = 1.0, memory: Union[int, str] = 128, gpu: GpuTypeAlias = GpuType.NoGPU, + gpu_count: int = 0, image: Image = Image(), timeout: int = 180, workers: int = 1, @@ -266,6 +275,7 @@ def __init__( cpu=cpu, memory=memory, gpu=gpu, + gpu_count=gpu_count, image=image, timeout=timeout, workers=workers, @@ -301,6 +311,9 @@ class RealtimeASGI(ASGI): gpu (Union[GpuType, str]): The type or name of the GPU device to be used for GPU-accelerated tasks. If not applicable or no GPU required, leave it empty. Default is [GpuType.NoGPU](#gputype). + gpu_count (int): + The number of GPUs allocated to the container. Default is 0. If a GPU is + specified but this value is set to 0, it will be automatically updated to 1. image (Union[Image, dict]): The container image used for the task execution. Default is [Image](#image). volumes (Optional[List[Volume]]): @@ -364,6 +377,7 @@ def __init__( cpu: Union[int, float, str] = 1.0, memory: Union[int, str] = 128, gpu: GpuTypeAlias = GpuType.NoGPU, + gpu_count: int = 0, image: Image = Image(), timeout: int = 180, workers: int = 1, @@ -382,6 +396,7 @@ def __init__( cpu=cpu, memory=memory, gpu=gpu, + gpu_count=gpu_count, image=image, timeout=timeout, workers=workers, diff --git a/sdk/src/beta9/abstractions/function.py b/sdk/src/beta9/abstractions/function.py index 4e3cb85a4..42f2252e4 100644 --- a/sdk/src/beta9/abstractions/function.py +++ b/sdk/src/beta9/abstractions/function.py @@ -44,6 +44,9 @@ class Function(RunnerAbstraction): applicable or no GPU required, leave it empty. You can specify multiple GPUs by providing a list of GpuTypeAlias. If you specify several GPUs, the scheduler prioritizes their selection based on their order in the list. + gpu_count (int): + The number of GPUs allocated to the container. Default is 0. If a GPU is + specified but this value is set to 0, it will be automatically updated to 1. image (Union[Image, dict]): The container image used for the task execution. Default is [Image](#image). timeout (Optional[int]): @@ -87,6 +90,7 @@ def __init__( cpu: Union[int, float, str] = 1.0, memory: Union[int, str] = 128, gpu: Union[GpuTypeAlias, List[GpuTypeAlias]] = GpuType.NoGPU, + gpu_count: int = 0, image: Image = Image(), timeout: int = 3600, retries: int = 3, @@ -100,6 +104,7 @@ def __init__( cpu=cpu, memory=memory, gpu=gpu, + gpu_count=gpu_count, image=image, timeout=timeout, retries=retries, @@ -283,6 +288,9 @@ class Schedule(Function): gpu (Union[GpuType, str]): The type or name of the GPU device to be used for GPU-accelerated tasks. If not applicable or no GPU required, leave it empty. Default is [GpuType.NoGPU](#gputype). + gpu_count (int): + The number of GPUs allocated to the container. Default is 0. If a GPU is + specified but this value is set to 0, it will be automatically updated to 1. image (Union[Image, dict]): The container image used for the task execution. Default is [Image](#image). timeout (Optional[int]): @@ -326,6 +334,7 @@ def __init__( cpu: Union[int, float, str] = 1.0, memory: Union[int, str] = 128, gpu: GpuTypeAlias = GpuType.NoGPU, + gpu_count: int = 0, image: Image = Image(), timeout: int = 3600, retries: int = 3, diff --git a/sdk/src/beta9/abstractions/taskqueue.py b/sdk/src/beta9/abstractions/taskqueue.py index 5c53a82eb..bf930d6da 100644 --- a/sdk/src/beta9/abstractions/taskqueue.py +++ b/sdk/src/beta9/abstractions/taskqueue.py @@ -44,6 +44,9 @@ class TaskQueue(RunnerAbstraction): applicable or no GPU required, leave it empty. You can specify multiple GPUs by providing a list of GpuTypeAlias. If you specify several GPUs, the scheduler prioritizes their selection based on their order in the list. + gpu_count (int): + The number of GPUs allocated to the container. Default is 0. If a GPU is + specified but this value is set to 0, it will be automatically updated to 1. image (Union[Image, dict]): The container image used for the task execution. Default is [Image](#image). timeout (Optional[int]): @@ -105,6 +108,7 @@ def __init__( cpu: Union[int, float, str] = 1.0, memory: Union[int, str] = 128, gpu: Union[GpuTypeAlias, List[GpuTypeAlias]] = GpuType.NoGPU, + gpu_count: int = 0, image: Image = Image(), timeout: int = 3600, retries: int = 3, @@ -124,6 +128,7 @@ def __init__( cpu=cpu, memory=memory, gpu=gpu, + gpu_count=gpu_count, image=image, workers=workers, timeout=timeout, diff --git a/sdk/src/beta9/clients/gateway/__init__.py b/sdk/src/beta9/clients/gateway/__init__.py index 9e7ac87b4..0626be0eb 100644 --- a/sdk/src/beta9/clients/gateway/__init__.py +++ b/sdk/src/beta9/clients/gateway/__init__.py @@ -282,6 +282,7 @@ class GetOrCreateStubRequest(betterproto.Message): task_policy: "TaskPolicy" = betterproto.message_field(23) concurrent_requests: int = betterproto.uint32_field(24) extra: str = betterproto.string_field(25) + gpu_count: int = betterproto.uint32_field(26) @dataclass(eq=False, repr=False)