Guess AWS machine type based on service resources reservations

Signed-off-by: Nicolas De Loof <nicolas.deloof@gmail.com>

ecs/compatibility.go

@@ -38,6 +38,8 @@ var compatibleComposeAttributes = []string{
 	"services.deploy.resources.reservations",
 	"services.deploy.resources.reservations.cpus",
 	"services.deploy.resources.reservations.memory",
+	"services.deploy.resources.reservations.generic_resources",
+	"services.deploy.resources.reservations.generic_resources.discrete_resource_spec",
 	"services.deploy.update_config",
 	"services.deploy.update_config.parallelism",
 	"services.entrypoint",

ecs/gpu.go

@@ -0,0 +1,142 @@
+/*
+   Copyright 2020 Docker, Inc.
+
+   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 ecs
+
+import (
+	"fmt"
+	"strconv"
+
+	"github.com/compose-spec/compose-go/types"
+	"github.com/docker/go-units"
+)
+
+type machine struct {
+	id     string
+	cpus   float64
+	memory types.UnitBytes
+	gpus   int64
+}
+
+type family []machine
+
+var p3family = family{
+	{
+		id:     "p3.2xlarge",
+		cpus:   8,
+		memory: 64 * units.GiB,
+		gpus:   2,
+	},
+	{
+		id:     "p3.8xlarge",
+		cpus:   32,
+		memory: 244 * units.GiB,
+		gpus:   4,
+	},
+	{
+		id:     "p3.16xlarge",
+		cpus:   64,
+		memory: 488 * units.GiB,
+		gpus:   8,
+	},
+}
+
+type filterFn func(machine) bool
+
+func (f family) filter(fn filterFn) family {
+	var filtered family
+	for _, machine := range f {
+		if fn(machine) {
+			filtered = append(filtered, machine)
+		}
+	}
+	return filtered
+}
+
+func (f family) firstOrError(msg string, args ...interface{}) (machine, error) {
+	if len(f) == 0 {
+		return machine{}, fmt.Errorf(msg, args...)
+	}
+	return f[0], nil
+}
+
+func guessMachineType(project *types.Project) (string, error) {
+	// we select a machine type to match all gpu-bound services requirements
+	// once https://github.com/aws/containers-roadmap/issues/631 is implemented we can define dedicated CapacityProviders per service.
+	minMemory, minCPU, minGPU, err := getResourceRequirements(project)
+	if err != nil {
+		return "", err
+	}
+
+	instanceType, err := p3family.
+		filter(func(m machine) bool {
+			return m.memory >= minMemory
+		}).
+		filter(func(m machine) bool {
+			return m.cpus >= minCPU
+		}).
+		filter(func(m machine) bool {
+			return m.gpus >= minGPU
+		}).
+		firstOrError("none of the AWS p3 machines match requirement for memory:%d cpu:%f gpu:%d", minMemory, minCPU, minGPU)
+	if err != nil {
+		return "", err
+	}
+	return instanceType.id, nil
+}
+
+func getResourceRequirements(project *types.Project) (types.UnitBytes, float64, int64, error) {
+	var minMemory types.UnitBytes
+	var minCPU float64
+	var minGPU int64
+	for _, service := range project.Services {
+		if service.Deploy == nil {
+			continue
+		}
+		reservations := service.Deploy.Resources.Reservations
+		if reservations == nil {
+			continue
+		}
+
+		var requiredGPUs int64
+		for _, r := range reservations.GenericResources {
+			if r.DiscreteResourceSpec.Kind == "gpu" {
+				requiredGPUs = r.DiscreteResourceSpec.Value
+				break
+			}
+		}
+		if requiredGPUs == 0 {
+			continue
+		}
+		if requiredGPUs > minGPU {
+			minGPU = requiredGPUs
+		}
+
+		if reservations.MemoryBytes > minMemory {
+			minMemory = reservations.MemoryBytes
+		}
+		if reservations.NanoCPUs != "" {
+			nanocpu, err := strconv.ParseFloat(reservations.NanoCPUs, 64)
+			if err != nil {
+				return 0, 0, 0, err
+			}
+			if nanocpu > minCPU {
+				minCPU = nanocpu
+			}
+		}
+	}
+	return minMemory, minCPU, minGPU, nil
+}

ecs/gpu_test.go

@@ -0,0 +1,115 @@
+/*
+   Copyright 2020 Docker, Inc.
+
+   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 ecs
+
+import (
+	"testing"
+)
+
+func TestGuessMachineType(t *testing.T) {
+	tests := []struct {
+		name    string
+		yaml    string
+		want    string
+		wantErr bool
+	}{
+		{
+			name: "1-gpu",
+			yaml: `
+services:
+    learning:
+        image: tensorflow/tensorflow:latest-gpu
+        deploy:
+            resources:
+                reservations:
+                   generic_resources:
+                     - discrete_resource_spec:
+                         kind: gpu
+                         value: 1
+`,
+			want:    "p3.2xlarge",
+			wantErr: false,
+		},
+		{
+			name: "4-gpu",
+			yaml: `
+services:
+    learning:
+        image: tensorflow/tensorflow:latest-gpu
+        deploy:
+            resources:
+                reservations:
+                   generic_resources: 
+                     - discrete_resource_spec:
+                         kind: gpu
+                         value: 4
+`,
+			want:    "p3.8xlarge",
+			wantErr: false,
+		},
+		{
+			name: "1-gpu, high-memory",
+			yaml: `
+services:
+    learning:
+        image: tensorflow/tensorflow:latest-gpu
+        deploy:
+            resources:
+                reservations: 
+                   memory: 300Gb
+                   generic_resources: 
+                     - discrete_resource_spec:
+                         kind: gpu
+                         value: 2
+`,
+			want:    "p3.16xlarge",
+			wantErr: false,
+		},
+		{
+			name: "1-gpu, high-cpu",
+			yaml: `
+services:
+    learning:
+        image: tensorflow/tensorflow:latest-gpu
+        deploy:
+            resources:
+                reservations: 
+                   memory: 32Gb
+                   cpus: "32"
+                   generic_resources: 
+                     - discrete_resource_spec:
+                         kind: gpu
+                         value: 2
+`,
+			want:    "p3.8xlarge",
+			wantErr: false,
+		},
+	}
+	for _, tt := range tests {
+		t.Run(tt.name, func(t *testing.T) {
+			project := loadConfig(t, tt.yaml)
+			got, err := guessMachineType(project)
+			if (err != nil) != tt.wantErr {
+				t.Errorf("guessMachineType() error = %v, wantErr %v", err, tt.wantErr)
+				return
+			}
+			if got != tt.want {
+				t.Errorf("guessMachineType() got = %v, want %v", got, tt.want)
+			}
+		})
+	}
+}