From 47357afd16f928260db34d4dd3e686fb9ee7c5ff Mon Sep 17 00:00:00 2001 From: Fabian Mastenbroek Date: Thu, 6 Oct 2022 13:13:10 +0200 Subject: build: Switch to Spotless for formatting This change updates the build configuration to use Spotless for code formating of both Kotlin and Java. --- .../org/opendc/experiments/tf20/TensorFlowTest.kt | 28 ++++++++++++++++++---- 1 file changed, 24 insertions(+), 4 deletions(-) (limited to 'opendc-experiments/opendc-experiments-tf20/src/test') 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) ) -- cgit v1.2.3