Hi,
my installation of keras3 using GPU support and the torch backend failed. Before adding an installation issue on this Github page concerning this probem I tried to install the basic default installation steps as indicated below:
First I tried to resolve the installation issue by running the following in a fresh R session
# install the development version of packages, in case the
# issue is already fixed but not on CRAN yet.
install.packages("remotes")
remotes::install_github(sprintf("rstudio/%s", c("reticulate", "tensorflow", "keras")))
if (is.null(reticulate::virtualenv_starter()))
reticulate::install_python()
keras3::install_keras()
Up to this point there was no error.
Then I tested tensorflow
tensorflow::as_tensor("Hello World")
This failed but following the recommendation on this page I issued
tensorflow::install_tensorflow()
After this (again after terminating R) the function call
tensorflow::as_tensor("Hello World")
succeeded. I saw tf.Tensor(b'Hello World', shape=(), dtype=string). So Tensorflow has been successfully installed.
But the first few lines of the keras3 MNIST example on https://keras3.posit.co/articles/examples/vision/mnist_convnet.html failed:
> library(keras3)
> num_classes <- 10
> input_shape <- c(28, 28, 1)
> c(c(x_train, y_train), c(x_test, y_test)) %<-% dataset_mnist()
Fehler: ModuleNotFoundError: No module named 'keras.ops'
Run `reticulate::py_last_error()` for details.
Therefore I gathered some diagnostic info after the RStudio - Session - Terminate R:
reticulate::py_config()
python: C:/Users/ulk/AppData/Local/Programs/Python/Python39/python.exe
libpython: C:/Users/ulk/AppData/Local/Programs/Python/Python39/python39.dll
pythonhome: C:/Users/ulk/AppData/Local/Programs/Python/Python39
version: 3.9.12 (tags/v3.9.12:b28265d, Mar 23 2022, 23:52:46) [MSC v.1929 64 bit (AMD64)]
Architecture: 64bit
numpy: C:/Users/ulk/AppData/Local/Programs/Python/Python39/Lib/site-packages/numpy
numpy_version: 1.26.4
keras: C:\Users\ulk\AppData\Local\Programs\Python\Python39\lib\site-packages\keras
NOTE: Python version was forced by use_python() function
> tensorflow::tf_config()
TensorFlow v2.10.1 (C:\Users\ulk\AppData\Local\Programs\Python\Python39\lib\site-packages\keras)
Python v3.9 (C:/Users/ulk/AppData/Local/Programs/Python/Python39/python.exe)
> reticulate::import("tensorflow")
Module(tensorflow)
> reticulate::py_last_error()
NULL
> sessionInfo()
R version 4.5.1 (2025-06-13 ucrt)
Platform: x86_64-w64-mingw32/x64
Running under: Windows 11 x64 (build 22631)
Matrix products: default
LAPACK version 3.12.1
locale:
[1] LC_COLLATE=German_Germany.utf8 LC_CTYPE=German_Germany.utf8 LC_MONETARY=German_Germany.utf8
[4] LC_NUMERIC=C LC_TIME=German_Germany.utf8
time zone: Europe/Berlin
tzcode source: internal
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] keras3_1.4.0.9000
loaded via a namespace (and not attached):
[1] base64enc_0.1-3 codetools_0.2-20 Matrix_1.7-3 lattice_0.22-7
[5] magrittr_2.0.3 reticulate_1.42.0 glue_1.8.0 png_0.1-8
[9] generics_0.1.4 lifecycle_1.0.4 cli_3.6.5 tensorflow_2.16.0.9000
[13] vctrs_0.6.5 grid_4.5.1 zeallot_0.2.0 rsconnect_1.5.0
[17] tfruns_1.5.3 compiler_4.5.1 rstudioapi_0.17.1 tools_4.5.1
[21] whisker_0.4.1 pillar_1.11.0 dotty_0.1.0 Rcpp_1.1.0
[25] rlang_1.1.6 jsonlite_2.0.0
>
How to resolve this installation problem?
Hi,
my installation of keras3 using GPU support and the torch backend failed. Before adding an installation issue on this Github page concerning this probem I tried to install the basic default installation steps as indicated below:
First I tried to resolve the installation issue by running the following in a fresh R session
Up to this point there was no error.
Then I tested tensorflow
This failed but following the recommendation on this page I issued
After this (again after terminating R) the function call
succeeded. I saw
tf.Tensor(b'Hello World', shape=(), dtype=string). So Tensorflow has been successfully installed.But the first few lines of the keras3 MNIST example on
https://keras3.posit.co/articles/examples/vision/mnist_convnet.htmlfailed:Therefore I gathered some diagnostic info after the
RStudio - Session - Terminate R:How to resolve this installation problem?