context("applications")
source("utils.R")
test_succeeds("keras pre-built models can be instantiated", {
skip <- is.na(Sys.getenv("KERAS_TEST_APPLICATIONS", unset = NA)) &&
is.na(Sys.getenv("KERAS_TEST_ALL", unset = NA))
if (skip)
return()
if (is_backend("tensorflow")) {
application_xception()
if (is_keras_available("2.0.6"))
application_mobilenet()
if (is_keras_available("2.1.3")) {
application_densenet121()
application_densenet169()
application_densenet201()
application_nasnetlarge()
application_nasnetmobile()
}
if (is_keras_available("2.2.0"))
application_mobilenet_v2()
}
application_resnet50()
application_vgg16()
application_vgg19()
application_inception_v3()
})
test_succeeds("can use any input_shape", {
x <- application_vgg16(weights = NULL, input_shape = shape(NULL, NULL, 3), include_top = FALSE)
expect_s3_class(x, "keras.engine.training.Model")
})
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