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disable the Gan example for now
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lanking520 committed Jul 22, 2018
1 parent dd0bb27 commit 166a8f4
Showing 1 changed file with 26 additions and 21 deletions.
Original file line number Diff line number Diff line change
Expand Up @@ -31,30 +31,35 @@ class GanExampleSuite extends FunSuite with BeforeAndAfterAll{
private val logger = LoggerFactory.getLogger(classOf[GanExampleSuite])

test("Example CI: Test GAN MNIST") {
if (System.getenv().containsKey("SCALA_TEST_ON_GPU") &&
System.getenv("SCALA_TEST_ON_GPU").toInt == 1) {
logger.info("Downloading mnist model")
val baseUrl = "https://s3.us-east-2.amazonaws.com/mxnet-scala/scala-example-ci"
val tempDirPath = System.getProperty("java.io.tmpdir")
val modelDirPath = tempDirPath + File.separator + "mnist/"
logger.info("tempDirPath: %s".format(tempDirPath))
val tmpFile = new File(tempDirPath + "/mnist/mnist.zip")
if (!tmpFile.exists()) {
FileUtils.copyURLToFile(new URL(baseUrl + "/mnist/mnist.zip"),
tmpFile)
}
// TODO: Need to confirm with Windows
Process("unzip " + tempDirPath + "/mnist/mnist.zip -d "
+ tempDirPath + "/mnist/") !
val disableTest = true
if (disableTest) {
logger.info("Temporarily disable this test due to the Memory leaks")
} else {
if (System.getenv().containsKey("SCALA_TEST_ON_GPU") &&
System.getenv("SCALA_TEST_ON_GPU").toInt == 1) {
logger.info("Downloading mnist model")
val baseUrl = "https://s3.us-east-2.amazonaws.com/mxnet-scala/scala-example-ci"
val tempDirPath = System.getProperty("java.io.tmpdir")
val modelDirPath = tempDirPath + File.separator + "mnist/"
logger.info("tempDirPath: %s".format(tempDirPath))
val tmpFile = new File(tempDirPath + "/mnist/mnist.zip")
if (!tmpFile.exists()) {
FileUtils.copyURLToFile(new URL(baseUrl + "/mnist/mnist.zip"),
tmpFile)
}
// TODO: Need to confirm with Windows
Process("unzip " + tempDirPath + "/mnist/mnist.zip -d "
+ tempDirPath + "/mnist/") !

val context = Context.gpu()
val context = Context.gpu()

val output = GanMnist.runTraining(modelDirPath, context, modelDirPath, 2)
Process("rm -rf " + modelDirPath) !
val output = GanMnist.runTraining(modelDirPath, context, modelDirPath, 5)
Process("rm -rf " + modelDirPath) !

assert(output >= 0.0f)
} else {
logger.info("GPU test only, skipped...")
assert(output >= 0.0f)
} else {
logger.info("GPU test only, skipped...")
}
}
}
}

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