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| 1 | +/* |
| 2 | +Copyright 2021. |
| 3 | +
|
| 4 | +Licensed under the Apache License, Version 2.0 (the "License"); |
| 5 | +you may not use this file except in compliance with the License. |
| 6 | +You may obtain a copy of the License at |
| 7 | +
|
| 8 | + http://www.apache.org/licenses/LICENSE-2.0 |
| 9 | +
|
| 10 | +Unless required by applicable law or agreed to in writing, software |
| 11 | +distributed under the License is distributed on an "AS IS" BASIS, |
| 12 | +WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| 13 | +See the License for the specific language governing permissions and |
| 14 | +limitations under the License. |
| 15 | +*/ |
| 16 | + |
| 17 | +package regressor |
| 18 | + |
| 19 | +import ( |
| 20 | + . "github.com/onsi/ginkgo/v2" |
| 21 | + . "github.com/onsi/gomega" |
| 22 | + "k8s.io/klog/v2" |
| 23 | + |
| 24 | + "github.com/sustainable-computing-io/kepler/pkg/model/types" |
| 25 | +) |
| 26 | + |
| 27 | +var _ = Describe("Test Regressor Weight Unit (SGD model from URL)", func() { |
| 28 | + It("Get Node Components Power By SGD Regression with model from URL", func() { |
| 29 | + modelURL := "https://raw.githubusercontent.com/sustainable-computing-io/kepler-model-db/refs/heads/main/models/v0.7/ec2-0.7.11/rapl-sysfs/AbsPower/BPFOnly/SGDRegressorTrainer_0.json" |
| 30 | + |
| 31 | + // Initialize the regressor with the URL |
| 32 | + r := genRegressor(types.AbsPower, types.ComponentEnergySource, "", modelURL, "", types.LogarithmicTrainer) |
| 33 | + err := r.Start() |
| 34 | + Expect(err).To(BeNil()) |
| 35 | + |
| 36 | + r.ResetSampleIdx() |
| 37 | + r.AddNodeFeatureValues(nodeFeatureValues) |
| 38 | + |
| 39 | + powers, err := r.GetComponentsPower(false) |
| 40 | + Expect(err).NotTo(HaveOccurred()) |
| 41 | + Expect(len(powers)).Should(Equal(1)) |
| 42 | + |
| 43 | + // Test power calculation. The results should match those from estimator |
| 44 | + // The following results are from kepler-model-server tests/estimator_power_request_test.py |
| 45 | + // {"trainer_name": "SGDRegressorTrainer_0", "metrics": ["bpf_cpu_time_ms", "bpf_page_cache_hit"], "system_features": ["node_info", "cpu_scaling_frequency_hertz"], "system_values": ["1", "1GHz"], "values": [[1.0, 1.0], [1.0, 1.0]], "output_type": "AbsPower", "source": "rapl-sysfs"} |
| 46 | + // {'powers': {'package': [143.81524594970784, 143.81524594970784], 'core': [0.0, 0.0], 'uncore': [0.0, 0.0], 'dram': [18.616373449562538, 18.616373449562538]}, 'msg': '', 'core_ratio': 0.16666666666666666} |
| 47 | + klog.Infof("Core: %v, DRAM: %v, Pkg: %v", powers[0].Core, powers[0].DRAM, powers[0].Pkg) |
| 48 | + Expect(powers[0].Core).Should(BeEquivalentTo(143812)) |
| 49 | + Expect(powers[0].DRAM).Should(BeEquivalentTo(18616)) |
| 50 | + Expect(powers[0].Pkg).Should(BeEquivalentTo(143812)) |
| 51 | + }) |
| 52 | +}) |
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