diff options
| author | Fabian Mastenbroek <mail.fabianm@gmail.com> | 2022-10-06 13:13:10 +0200 |
|---|---|---|
| committer | Fabian Mastenbroek <mail.fabianm@gmail.com> | 2022-10-06 14:46:56 +0200 |
| commit | 47357afd16f928260db34d4dd3e686fb9ee7c5ff (patch) | |
| tree | 950ba678869ec868c26ab3b95b57e4cabadb23c7 /opendc-experiments/opendc-experiments-tf20/src/test | |
| parent | 402a8f55342c4565431c2a2e7287a70592f3fe33 (diff) | |
build: Switch to Spotless for formatting
This change updates the build configuration to use Spotless for code
formating of both Kotlin and Java.
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/TensorFlowTest.kt | 28 |
1 files changed, 24 insertions, 4 deletions
diff --git a/opendc-experiments/opendc-experiments-tf20/src/test/kotlin/org/opendc/experiments/tf20/TensorFlowTest.kt b/opendc-experiments/opendc-experiments-tf20/src/test/kotlin/org/opendc/experiments/tf20/TensorFlowTest.kt index f5d35fa4..c4698058 100644 --- a/opendc-experiments/opendc-experiments-tf20/src/test/kotlin/org/opendc/experiments/tf20/TensorFlowTest.kt +++ b/opendc-experiments/opendc-experiments-tf20/src/test/kotlin/org/opendc/experiments/tf20/TensorFlowTest.kt @@ -46,7 +46,12 @@ class TensorFlowTest { val def = MLEnvironmentReader().readEnvironment(envInput).first() val device = SimTFDevice( - def.uid, def.meta["gpu"] as Boolean, coroutineContext, clock, def.model.cpus[0], def.model.memory[0], + def.uid, + def.meta["gpu"] as Boolean, + coroutineContext, + clock, + def.model.cpus[0], + def.model.memory[0], LinearPowerModel(250.0, 60.0) ) val strategy = OneDeviceStrategy(device) @@ -76,7 +81,12 @@ class TensorFlowTest { val def = MLEnvironmentReader().readEnvironment(envInput).first() val device = SimTFDevice( - def.uid, def.meta["gpu"] as Boolean, coroutineContext, clock, def.model.cpus[0], def.model.memory[0], + def.uid, + def.meta["gpu"] as Boolean, + coroutineContext, + clock, + def.model.cpus[0], + def.model.memory[0], LinearPowerModel(250.0, 60.0) ) val strategy = OneDeviceStrategy(device) @@ -106,12 +116,22 @@ class TensorFlowTest { val def = MLEnvironmentReader().readEnvironment(envInput).first() val deviceA = SimTFDevice( - def.uid, def.meta["gpu"] as Boolean, coroutineContext, clock, def.model.cpus[0], def.model.memory[0], + def.uid, + def.meta["gpu"] as Boolean, + coroutineContext, + clock, + def.model.cpus[0], + def.model.memory[0], LinearPowerModel(250.0, 60.0) ) val deviceB = SimTFDevice( - UUID.randomUUID(), def.meta["gpu"] as Boolean, coroutineContext, clock, def.model.cpus[0], def.model.memory[0], + UUID.randomUUID(), + def.meta["gpu"] as Boolean, + coroutineContext, + clock, + def.model.cpus[0], + def.model.memory[0], LinearPowerModel(250.0, 60.0) ) |
