layer_dense() error : ValueError

[kyongryun]

Hello,

Would you like to help me fix this issue?

4. model creation

model <- keras_model_sequential()
model %>%
layer_dense(units = 2, activation = 'sigmoid', input_shape = c(3)) %>%
layer_dense(1, activation = "sigmoid")

Error message :
Error in py_call_impl(callable, call_args$unnamed, call_args$named) :
ValueError: Only input tensors may be passed as positional arguments. The following argument value should be passed as a keyword argument: (of type <class 'keras.src.models.sequential.Sequential'>)
Run reticulate::py_last_error() for details.

A following is the version of the packages.
tensorflow_2.15.0 keras_2.13.0

loaded via a namespace (and not attached):
[1] vctrs_0.6.5 cli_3.6.2 rlang_1.1.3 zeallot_0.1.0 forcats_1.0.0 png_0.1-8 generics_0.1.3
[8] jsonlite_1.8.8 glue_1.7.0 hms_1.1.3 fansi_1.0.5 grid_4.3.0 tfruns_1.5.2 tibble_3.2.1
[15] base64enc_0.1-3 lifecycle_1.0.4 whisker_0.4.1 compiler_4.3.0 Rcpp_1.0.12 pkgconfig_2.0.3 rstudioapi_0.15.0
[22] lattice_0.21-8 R6_2.5.1 reticulate_1.34.0 tidyselect_1.2.0 utf8_1.2.3 pillar_1.9.0 Matrix_1.5-4
[29] withr_3.0.0 tools_4.3.0

R version : R version 4.3.0

Thank you.

[t-kalinowski]

Hello, thanks for reporting.

I am unable to reproduce the error. I tried with both TF 2.13 and TF 2.15.

How did you install keras? Did you use keras::install_keras() or some other approach?

After reproducing the error, can you please post the output from:

reticulate::py_config()
sessioninfo::session_info()
reticulate::py_list_packages()

[kyongryun]

Hi Tomasz, Thank you so much for your reply. I can’t remember exactly. I might install Keras from CRAN. My env. is ```

reticulate::py_config()

python: /home/dailee/.virtualenvs/r-reticulate/bin/python libpython: /opt/python/3.10.9/lib/libpython3.10.so pythonhome: /home/dailee/.virtualenvs/r-reticulate:/home/dailee/.virtualenvs/r-reticulate version: 3.10.12 | packaged by conda-forge | (main, Jun 23 2023, 22:40:32) [GCC 12.3.0] numpy: /home/dailee/.virtualenvs/r-reticulate/lib/python3.10/site-packages/numpy numpy_version: 1.26.4 tensorflow: /home/dailee/.virtualenvs/r-reticulate/lib/python3.10/site-packages/tensorflow NOTE: Python version was forced by VIRTUAL_ENV

reticulate::py_list_packages()

package version requirement 1 absl-py 2.1.0 absl-py==2.1.0 2 astunparse 1.6.3 astunparse==1.6.3 3 certifi 2024.2.2 certifi==2024.2.2 4 charset-normalizer 3.3.2 charset-normalizer==3.3.2 5 contourpy 1.2.0 contourpy==1.2.0 6 cycler 0.12.1 cycler==0.12.1 7 dm-tree 0.1.8 dm-tree==0.1.8 8 flatbuffers 24.3.7 flatbuffers==24.3.7 9 fonttools 4.49.0 fonttools==4.49.0 10 gast 0.5.4 gast==0.5.4 11 google-pasta 0.2.0 google-pasta==0.2.0 12 grpcio 1.62.1 grpcio==1.62.1 13 h5py 3.10.0 h5py==3.10.0 14 idna 3.6 idna==3.6 15 joblib 1.3.2 joblib==1.3.2 16 keras 3.0.5 keras==3.0.5 17 kiwisolver 1.4.5 kiwisolver==1.4.5 18 libclang 16.0.6 libclang==16.0.6 19 Markdown 3.5.2 Markdown==3.5.2 20 markdown-it-py 3.0.0 markdown-it-py==3.0.0 21 MarkupSafe 2.1.5 MarkupSafe==2.1.5 22 matplotlib 3.8.3 matplotlib==3.8.3 23 mdurl 0.1.2 mdurl==0.1.2 24 ml-dtypes 0.3.2 ml-dtypes==0.3.2 25 namex 0.0.7 namex==0.0.7 26 numpy 1.26.4 numpy==1.26.4 27 opt-einsum 3.3.0 opt-einsum==3.3.0 28 packaging 24.0 packaging==24.0 29 pandas 2.2.1 pandas==2.2.1 30 pillow 10.2.0 pillow==10.2.0 31 protobuf 4.25.3 protobuf==4.25.3 32 Pygments 2.17.2 Pygments==2.17.2 33 pyparsing 3.1.2 pyparsing==3.1.2 34 python-dateutil 2.9.0.post0 python-dateutil==2.9.0.post0 35 pytz 2024.1 pytz==2024.1 36 requests 2.31.0 requests==2.31.0 37 rich 13.7.1 rich==13.7.1 38 scikeras 0.12.0 scikeras==0.12.0 39 scikit-learn 1.4.1.post1 scikit-learn==1.4.1.post1 40 scipy 1.12.0 scipy==1.12.0 41 six 1.16.0 six==1.16.0 42 tensorboard 2.16.2 tensorboard==2.16.2 43 tensorboard-data-server 0.7.2 tensorboard-data-server==0.7.2 44 tensorflow 2.16.1 tensorflow==2.16.1 45 tensorflow-io-gcs-filesystem 0.36.0 tensorflow-io-gcs-filesystem==0.36.0 46 tensorrt 8.6.1.post1 tensorrt==8.6.1.post1 47 termcolor 2.4.0 termcolor==2.4.0 48 threadpoolctl 3.3.0 threadpoolctl==3.3.0 49 typing_extensions 4.10.0 typing_extensions==4.10.0 50 tzdata 2024.1 tzdata==2024.1 51 urllib3 2.2.1 urllib3==2.2.1 52 Werkzeug 3.0.1 Werkzeug==3.0.1 53 wrapt 1.16.0 wrapt==1.16.0

sessionInfo()

R version 4.3.0 (2023-04-21) Platform: x86_64-pc-linux-gnu (64-bit) Running under: Red Hat Enterprise Linux 8.8 (Ootpa) Matrix products: default BLAS/LAPACK: /usr/lib64/libopenblasp-r0.3.15.so; LAPACK version 3.9.0 locale: [1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C LC_TIME=en_US.UTF-8 LC_COLLATE=en_US.UTF-8 LC_MONETARY=en_US.UTF-8 [6] LC_MESSAGES=en_US.UTF-8 LC_PAPER=en_US.UTF-8 LC_NAME=C LC_ADDRESS=C LC_TELEPHONE=C [11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C time zone: America/Los_Angeles tzcode source: system (glibc) attached base packages: [1] stats graphics grDevices utils datasets methods base other attached packages: [1] neuralnet_1.44.2 mlbench_2.1-3.1 haven_2.5.3 magrittr_2.0.3 dplyr_1.1.3 tensorflow_2.15.0 keras_2.13.0 loaded via a namespace (and not attached): [1] vctrs_0.6.5 cli_3.6.2 rlang_1.1.3 zeallot_0.1.0 forcats_1.0.0 png_0.1-8 generics_0.1.3 [8] jsonlite_1.8.8 glue_1.7.0 hms_1.1.3 fansi_1.0.5 grid_4.3.0 tfruns_1.5.2 tibble_3.2.1 [15] base64enc_0.1-3 lifecycle_1.0.4 whisker_0.4.1 compiler_4.3.0 Rcpp_1.0.12 pkgconfig_2.0.3 rstudioapi_0.15.0 [22] lattice_0.21-8 R6_2.5.1 reticulate_1.34.0 tidyselect_1.2.0 utf8_1.2.3 pillar_1.9.0 Matrix_1.5-4 [29] withr_3.0.0 tools_4.3.0 ``` Thank you. * Daisy This email message is for the sole use of the intended recipient(s) and may contain confidential and privileged information. Any unauthorized review, use, disclosure or distribution is prohibited. If you are not the intended recipient, please contact the sender by reply email and destroy all copies of the original message. If you are the intended recipient, please be advised that the content of this message is subject to access, review and disclosure by the sender's email system administrator From: Tomasz Kalinowski ***@***.***> Date: Wednesday, March 13, 2024 at 5:12 AM To: rstudio/keras ***@***.***> Cc: Daisy Lee ***@***.***>, Author ***@***.***> Subject: Re: [rstudio/keras] layer_dense() error : ValueError (Issue #1414) Hello, thanks for reporting. I am unable to reproduce the error. I tried with both TF 2.13 and TF 2.15. How did you install keras? Did you use keras::install_keras() or some other approach? After reproducing the error, can you please post the output from: reticulate::py_config() sessioninfo::session_info() reticulate::py_list_packages() — Reply to this email directly, view it on GitHub<#1414 (comment)>, or unsubscribe<https://github.com/notifications/unsubscribe-auth/A7PW2UWGU6KCZDHSNZXWPYLYYA7BZAVCNFSM6AAAAABEUA2VGCVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMYTSOJUGI2DCNZQGY>. You are receiving this because you authored the thread.Message ID: ***@***.***>