Closed dirmeier closed 4 years ago
This actually should suffice to reproduce:
> library(tensorflow)
> library(tfprobability)
> tf$compat$v2$enable_v2_behavior()
> d <- tfd_binomial(total_count = 7, probs = 0.3)
Error in on_load() :
TensorFlow Probability has to be used with the TensorFlow Keras implementation.
> d <- tfd_binomial(total_count = 7, probs = 0.3)
> d$sample()$numpy()
[1] 1
> tensorflow::tf_config()
TensorFlow v1.14.0
Python v3.6
> tfprobability::tfp_version()
[1] ‘0.7’
Hi, thanks for using tfprobability
!
Historically, this goes back to the switch of the default Keras implementation from standalone Keras to tf.keras
(see https://blogs.rstudio.com/tensorflow/posts/2019-10-08-tf2-whatchanges/ for background). This check, and a related one, stem from nearly a year ago, when tfprobability
was starting to be developed, and most R users were still using standalone Keras. By now, those checks are probably obsolete, and I could just remove them I guess...
To get rid of that warning though, it should probably be enough to update the keras
R package to use the current version on CRAN - could you try that?
Hi, unfortunately that didn't solve it. But it's only a minor annoyance anyway, and I believe once I upgrade to TF2.1.0
it'll be solved. I circumvented the CI issue by just calling a tfp
function as a dry run before the actual test suite:
test_that("dry run", {
try({
# do something with tfp
})
})
# other tests
...
Hello all,
first of all, thanks for putting
tfprobability
on CRAN. Makes work so much easier. When I usetfp
as dependency in a package of mine, the first time I want to use it (saytfd_bernoulli
) it throws the following error:After this initial error, everything works fine though. This is usually ok, but it breaks CI. Do you have a clue what the issue might be? I try to find a minimal reproducible example, but in the meantime I thought this might be a common issue.
Thank you very much.
Cheers, Simon