Port tensorflow benchmark.

PiperOrigin-RevId: 323633737

1 files changed, 69 insertions, 0 deletions

diff --git a/test/benchmarks/ml/tensorflow_test.go b/test/benchmarks/ml/tensorflow_test.go
new file mode 100644
index 000000000..f7746897d
--- /dev/null
+++ b/test/benchmarks/ml/tensorflow_test.go
@@ -0,0 +1,69 @@
+// Copyright 2020 The gVisor Authors.
+//
+// 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 ml
+
+import (
+	"context"
+	"testing"
+
+	"gvisor.dev/gvisor/pkg/test/dockerutil"
+	"gvisor.dev/gvisor/test/benchmarks/harness"
+)
+
+// BenchmarkTensorflow runs workloads from a TensorFlow tutorial.
+// See: https://github.com/aymericdamien/TensorFlow-Examples
+func BenchmarkTensorflow(b *testing.B) {
+	workloads := map[string]string{
+		"GradientDecisionTree": "2_BasicModels/gradient_boosted_decision_tree.py",
+		"Kmeans":               "2_BasicModels/kmeans.py",
+		"LogisticRegression":   "2_BasicModels/logistic_regression.py",
+		"NearestNeighbor":      "2_BasicModels/nearest_neighbor.py",
+		"RandomForest":         "2_BasicModels/random_forest.py",
+		"ConvolutionalNetwork": "3_NeuralNetworks/convolutional_network.py",
+		"MultilayerPerceptron": "3_NeuralNetworks/multilayer_perceptron.py",
+		"NeuralNetwork":        "3_NeuralNetworks/neural_network.py",
+	}
+
+	machine, err := h.GetMachine()
+	if err != nil {
+		b.Fatalf("failed to get machine: %v", err)
+	}
+	defer machine.CleanUp()
+
+	for name, workload := range workloads {
+		b.Run(name, func(b *testing.B) {
+			ctx := context.Background()
+			container := machine.GetContainer(ctx, b)
+			defer container.CleanUp(ctx)
+
+			b.ResetTimer()
+			for i := 0; i < b.N; i++ {
+				b.StopTimer()
+				if err := harness.DropCaches(machine); err != nil {
+					b.Skipf("failed to drop caches: %v. You probably need root.", err)
+				}
+				b.StartTimer()
+
+				if out, err := container.Run(ctx, dockerutil.RunOpts{
+					Image:   "benchmarks/tensorflow",
+					Env:     []string{"PYTHONPATH=$PYTHONPATH:/TensorFlow-Examples/examples"},
+					WorkDir: "/TensorFlow-Examples/examples",
+				}, "python", workload); err != nil {
+					b.Fatalf("failed to run container: %v logs: %s", err, out)
+				}
+			}
+		})
+	}
+
+}