context("losses")
source("utils.R")
test_loss <- function(name) {
loss_fn <- eval(parse(text = name))
test_succeeds(name, {
keras_model_sequential() %>%
layer_dense(4, input_shape = c(784)) %>%
compile(
optimizer = 'sgd',
loss=loss_fn(),
metrics='accuracy'
)
})
}
test_loss("loss_contrastive")
test_loss("loss_pinball") # passes
test_loss("loss_sigmoid_focal_crossentropy")
test_loss("loss_triplet_hard")
test_loss("loss_triplet_semihard")
test_loss("loss_giou")
test_loss("loss_lifted_struct")
test_loss("loss_sparsemax")
sys = switch(Sys.info()[['sysname']],
Windows= {paste("windows.")},
Linux = {paste("linux.")},
Darwin = {paste("mac")})
# TensorFlow 2.1 does not support "loss_npairs" and "loss_npairs_multilabel" losses! Skip them.
#if (!(sys == 'windows') & !(tensorflow::tf_version() == "2.1")) {
# test_loss("loss_npairs")
# test_loss("loss_npairs_multilabel")
#}
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