Support for tensorflow or keras?

[xushanthu-2014]

Hi I want to use forpy to import tensorflow or keras in one program. The code of fortran90 simply follows:

program keras_demo
    use forpy_mod
    implicit none
    
    integer :: ierror
    type(module_py) :: tensorflow

    ierror = forpy_initialize()
    ierror = import_py(tensorflow, "tensorflow")

    write(*,*) "tensorflow imported return value ", ierror
    call tensorflow%destroy
    call forpy_finalize
  
  end program

Then I run the command gfortran -c forpy_mod.F90 and gfortran intro_to_forpy.F90 forpy_mod.o `python3-config --ldflags --embed` . The ./a.out shows tensorflow imported return value -1. When I run gfortran intro_to_forpy.F90 forpy_mod.o `python3-config --ldflags` , it returns a long error message which ends with

ld: symbol(s) not found for architecture x86_64
collect2: error: ld returned 1 exit status 

In your code it was said that the value of ierror should be 0 if the import py_module is successful. And I also checked the python version on my machine. In my VS Code terminal, I ran following codes and got returned messages as following:

$~ python --version
Python 2.7.16

$~ which python
/usr/bin/python

$~ which python-config
/usr/bin/python-config

$~ python-config --ldflags
 -L/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/config -lpython2.7 -ldl -framework CoreFoundation

$~ ls /usr/lib/libpython*
/usr/lib/libpython.dylib        /usr/lib/libpython2.7.dylib

But when I tried the same commands in terminal of my own Mac, it returned a different message:

$~ python --version
Python 3.7.10

$~ which python
/Users/xushan/opt/anaconda3/bin/python

$~ which python-config
/usr/bin/python-config

$~ python-config --ldflags
 -L/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/config -lpython2.7 -ldl -framework CoreFoundation

$~ ls /usr/lib/libpython*
/usr/lib/libpython.dylib        /usr/lib/libpython2.7.dylib

For the keras path, it's

from tensorflow import keras
keras.__path__
['/Users/xushan/opt/anaconda3/lib/python3.7/site-packages/tensorflow/keras']

import tensorflow as tf
tf.__path__
['/Users/xushan/opt/anaconda3/lib/python3.7/site-packages/tensorflow',
 '/Users/xushan/opt/anaconda3/lib/python3.7/site-packages/tensorflow_estimator/python/estimator/api/_v2',
 '/Users/xushan/opt/anaconda3/lib/python3.7/site-packages/tensorboard/summary/_tf',
 '/Users/xushan/opt/anaconda3/lib/python3.7/site-packages/tensorflow',
 '/Users/xushan/opt/anaconda3/lib/python3.7/site-packages/tensorflow/_api/v2']

So does that mean my tensorflow is installed on my anoconda and forpy is not able to import it? I guess I need to do something to specify the python version? Thanks!

(btw, if I want to write something in fortran using your forpy to from keras.models import load_model, how can I write that? do I need to firstly import tensorflow in fortran90 subroutine, then import models, finally import load_model? is there any way to simply it? Thanks!)

[ylikx]

Hi,
usually these problems are related to a mixup of different Python distributions that are installed on a machine.
In the case of Anaconda, did you use conda activate before entering the build commands in the command line?

For your Mac example, there is a mismatch between Python versions. There is python-config for Python 2 and python3-config for Python 3.

For your import question, this should work:

type(module_py) :: keras_models
ierror = import_py(keras_models, "keras.models")

! using load_module from keras.models
ierror = call_py(retval, keras_models, "load_model", args)

Alternatively:
There isn't really a way to put load_model into a global namespace as in Python, but you can achieve something similar, using this:

type(module_py) :: keras_models
type(object) :: load_model
ierror = import_py(keras_models, "keras.models")

ierror = keras_models%getattribute(load_model, "load_model")

ierror = call_py(retval, load_model, args)