context("initializers")
source("utils.R")
test_initializer <- function(name, required_version = NULL) {
initializer_fn <- eval(parse(text = paste0("initializer_", name)))
test_call_succeeds(name, required_version = required_version, {
keras_model_sequential() %>%
layer_dense(32, input_shape = c(32,32), kernel_initializer = initializer_fn()) %>%
compile(
optimizer = 'sgd',
loss='binary_crossentropy',
metrics='accuracy'
)
})
}
test_initializer("zeros")
test_initializer("ones")
test_initializer("constant")
test_initializer("random_normal")
test_initializer("random_uniform")
test_initializer("truncated_normal")
test_initializer("variance_scaling")
test_initializer("orthogonal")
if (is_keras_available())
if (is_keras_implementation() || (is_tensorflow_implementation() && (tensorflow::tf_version() <= "1.1")))
test_initializer("identity") # don't know why this test fails on v1.2
test_initializer("glorot_normal")
test_initializer("glorot_uniform")
test_initializer("he_uniform")
test_initializer("he_normal")
test_initializer("lecun_uniform")
test_initializer("lecun_normal", required_version = "2.0.6")
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