Sys.setenv("CUDA_VISIBLE_DEVICES" = "")
options(testthat.progress.max_fails = Inf)
tensorflow::as_tensor(1)
have_tfp <- function() {
reticulate::py_module_available("tensorflow_probability")
}
skip_if_no_tfp <- function() {
if (!have_tfp())
skip("TensorFlow Probability not available for testing")
}
skip_if_tfp_below <- function(version) {
if (tfprobability:::tfp_version() < version) {
skip(paste0("Skipped since this test requires TensorFlow Probability >= ", version))
}
}
skip_if_tfp_above <- function(version) {
if (tfprobability:::tfp_version() > version) {
skip(paste0("Skipped since this test requires TensorFlow Probability <= ", version))
}
}
skip_if_tf_below <- function(version) {
if (tensorflow:::tf_version() < version) {
skip(paste0("Skipped since this test requires TensorFlow >= ", version))
}
}
skip_if_tf_above <- function(version) {
if (tensorflow:::tf_version() > version) {
skip(paste0("Skipped since this test requires TensorFlow <= ", version))
}
}
skip_if_not_eager <- function() {
if (!tf$executing_eagerly())
skip("This test requires eager execution")
}
skip_if_eager <- function() {
if (tf$executing_eagerly())
skip("This test requires graph execution")
}
test_succeeds <- function(desc, expr) {
test_that(desc, {
skip_if_no_tfp()
expect_error(force(expr), NA)
})
}
tensor_value <- function(tensor) {
if (tf$executing_eagerly()) {
as.array(tensor)
} else {
sess <- tf$compat$v1$Session()
sess$run(tf$global_variables_initializer())
sess$run(tensor)
}
}
as_tensors <- tfprobability:::as_tensors
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