[FIXED] Error loading the keras package in R studio

Issue

I am using R4.0.1 and Rstudio1.3.959 on windows 10. I have installed tensor flow:

install.packages("tensorflow")
library(tensorflow)
install_tensorflow(method = "conda", conda_python_version = 3.6)

I checked the installation success by:

library(tensorflow)
tf$constant("Hellow Tensorflow")

Output: Tensor("Const:0", shape=(), dtype=string)

tf$constant(1.5)

Output: Tensor("Const_1:0", shape=(), dtype=float32)

I further checked by:

tf_config()

Output: TensorFlow v1.13.2 () Python v3.6 (C:/Users/user/AppData/Local/r-miniconda/envs/r-reticulate/python.exe)

From here it seems the tensor flow is installed properly and is working fine. However, I faced problems in loading Keras library. I did the following:

install.packages("keras")
library(keras)

As I load the library, it gives the following error

Error: package or namespace load failed for ‘keras’:
 .onLoad failed in loadNamespace() for 'keras', details:
  call: py_module_import(module, convert = convert)
  error: ImportError: cannot import name 'swish'

Detailed traceback: 
  File "C:\Users\user\AppData\Local\r-miniconda\envs\r-reticulate\lib\site-packages\tensorflow\keras\__init__.py", line 14, in <module>
    from . import activations
  File "C:\Users\user\AppData\Local\r-miniconda\envs\r-reticulate\lib\site-packages\tensorflow\keras\activations\__init__.py", line 23, in <module>
    from tensorflow.python.keras.activations import swish

Since the keras package could not be loaded I cannot run the following code

install_keras(method = "conda")

I could get additional information as below:

library(reticulate)
> py_discover_config("keras")
python:         C:/Users/user/AppData/Local/r-miniconda/envs/r-reticulate/python.exe
libpython:      C:/Users/user/AppData/Local/r-miniconda/envs/r-reticulate/python36.dll
pythonhome:     C:/Users/user/AppData/Local/r-miniconda/envs/r-reticulate
version:        3.6.10 |Anaconda, Inc.| (default, May  7 2020, 19:46:08) [MSC v.1916 64 bit (AMD64)]
Architecture:   64bit
numpy:          C:/Users/user/AppData/Local/r-miniconda/envs/r-reticulate/Lib/site-packages/numpy
numpy_version:  1.18.1

I could also see that default python version in use as:

Sys.which("python")
                                                                 python 
"C:\\Users\\user\\AppData\\Local\\R-MINI~1\\envs\\R-RETI~1\\python.exe"

I would be grateful if anyone can solve this installation issue. Thanks

Solution

This might be a bit different but I find it easier to hand manage dependent env. So you can open conda prompt and execute:

conda create -n env_name python=3.6 tensorflow

Then in R before you do anything call

library(keras)
library(tensorflow)
use_condaenv(condaenv = "env_name",required = T)

By default you wil get TF 2.xx, you can specify that in conda env.

EDIT: For TF gpu you need to specify conda create -n env_name python=3.6 tensorflow-gpu and you will get CUDa and CUDNN if you have GPU on your PC.

Answered By - JacobJacox