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| author | Fabian Mastenbroek <mail.fabianm@gmail.com> | 2022-05-06 10:22:35 +0200 |
|---|---|---|
| committer | Fabian Mastenbroek <mail.fabianm@gmail.com> | 2022-05-06 18:37:36 +0200 |
| commit | 0e8ad565a78dd194e687003e5ccc8ccf9b28667f (patch) | |
| tree | dd99fa1d47a3fead307f1916b3d0219c59f80f99 /opendc-experiments/opendc-experiments-tf20/src/test | |
| parent | 0b584e261fdf34d662129b1b47f00711c0ce0779 (diff) | |
refactor(exp/tf20): Remove OpenTelemetry from TF20 experiment
This change removes the OpenTelemetry integration from the OpenDC
Tensorflow 2020 experiments. Previously, we chose to integrate
OpenTelemetry to provide a unified way to report metrics to the users.
See the previous commit removing it from the "Compute" modules for the
reasoning behind this change.
Diffstat (limited to 'opendc-experiments/opendc-experiments-tf20/src/test')
| -rw-r--r-- | opendc-experiments/opendc-experiments-tf20/src/test/kotlin/org/opendc/experiments/tf20/core/SimTFDeviceTest.kt | 14 |
1 files changed, 9 insertions, 5 deletions
diff --git a/opendc-experiments/opendc-experiments-tf20/src/test/kotlin/org/opendc/experiments/tf20/core/SimTFDeviceTest.kt b/opendc-experiments/opendc-experiments-tf20/src/test/kotlin/org/opendc/experiments/tf20/core/SimTFDeviceTest.kt index 0d5fbebb..fd18a3a7 100644 --- a/opendc-experiments/opendc-experiments-tf20/src/test/kotlin/org/opendc/experiments/tf20/core/SimTFDeviceTest.kt +++ b/opendc-experiments/opendc-experiments-tf20/src/test/kotlin/org/opendc/experiments/tf20/core/SimTFDeviceTest.kt @@ -22,7 +22,6 @@ package org.opendc.experiments.tf20.core -import io.opentelemetry.api.metrics.MeterProvider import kotlinx.coroutines.coroutineScope import kotlinx.coroutines.launch import org.junit.jupiter.api.Assertions.assertAll @@ -41,14 +40,19 @@ import java.util.* internal class SimTFDeviceTest { @Test fun testSmoke() = runBlockingSimulation { - val meterProvider: MeterProvider = MeterProvider.noop() - val meter = meterProvider.get("opendc-tf20") - val puNode = ProcessingNode("NVIDIA", "Tesla V100", "unknown", 1) val pu = ProcessingUnit(puNode, 0, 960 * 1230.0) val memory = MemoryUnit("NVIDIA", "Tesla V100", 877.0, 32_000) - val device = SimTFDevice(UUID.randomUUID(), isGpu = true, coroutineContext, clock, meter, pu, memory, LinearPowerModel(250.0, 100.0)) + val device = SimTFDevice( + UUID.randomUUID(), + isGpu = true, + coroutineContext, + clock, + pu, + memory, + LinearPowerModel(250.0, 100.0) + ) // Load 1 GiB into GPU memory device.load(1000) |