context("activations")
source("utils.R")
test_activation <- function(name, required_version = NULL) {
test_succeeds(paste("use activation", name), {
skip_if_no_keras(required_version)
activation_fn <- eval(parse(text = name))
test_call_succeeds(name, {
keras_model_sequential() %>%
layer_dense(32, input_shape = 784) %>%
layer_activation(activation = activation_fn)
})
tensor <- k_constant(matrix(runif(100), nrow = 10, ncol = 10), shape = c(10, 10))
activation_fn(tensor)
})
}
test_activation("activation_elu")
test_activation("activation_selu", required_version = "2.0.6")
test_activation("activation_hard_sigmoid")
test_activation("activation_linear")
test_activation("activation_relu")
test_activation("activation_sigmoid")
test_activation("activation_softmax")
test_activation("activation_softplus")
test_activation("activation_softsign")
test_activation("activation_tanh")
test_activation("activation_exponential", required_version = "2.2.3")
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