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authorFabian Mastenbroek <mail.fabianm@gmail.com>2022-10-06 13:13:10 +0200
committerFabian Mastenbroek <mail.fabianm@gmail.com>2022-10-06 14:46:56 +0200
commit47357afd16f928260db34d4dd3e686fb9ee7c5ff (patch)
tree950ba678869ec868c26ab3b95b57e4cabadb23c7 /opendc-experiments/opendc-experiments-tf20/src/test
parent402a8f55342c4565431c2a2e7287a70592f3fe33 (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.kt28
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)
)