Remove duplicate modules tensorflow/torch

src/pystencils_autodiff/tensorflow.py

-import numpy as np
-
-try:
-    import tensorflow as tf
-except ImportError:
-    pass
-
-
-def tf_constant_from_field(field, init_val=0):
-    return tf.constant(init_val, dtype=field.dtype.numpy_dtype, shape=field.shape, name=field.name + '_constant')
-
-
-def tf_scalar_variable_from_field(field, init_val, constraint=None):
-    var = tf.Variable(init_val, dtype=field.dtype.numpy_dtype, name=field.name + '_variable', constraint=constraint)
-    return var * tf_constant_from_field(field, 1)
-
-
-def tf_variable_from_field(field, init_val=0, constraint=None):
-    if isinstance(init_val, (int, float)):
-        init_val *= np.ones(field.shape, field.dtype.numpy_dtype)
-
-    return tf.Variable(init_val, dtype=field.dtype.numpy_dtype, name=field.name + '_variable', constraint=constraint)
-
-
-def tf_placeholder_from_field(field):
-    return tf.placeholder(dtype=field.dtype.numpy_dtype, name=field.name + '_placeholder', shape=field.shape)

src/pystencils_autodiff/torch.py

-# -*- coding: utf-8 -*-
-#
-# Copyright © 2019 Stephan Seitz <stephan.seitz@fau.de>
-#
-# Distributed under terms of the GPLv3 license.
-
-"""
-
-"""
-
-import numpy as np
-
-try:
-    import torch
-except ImportError:
-    pass
-
-
-def torch_tensor_from_field(field, init_val=0, cuda=True, requires_grad=False):
-    if isinstance(init_val, (int, float)):
-        init_val *= np.ones(field.shape, field.dtype.numpy_dtype)
-    device = torch.device('cuda' if cuda else 'cpu')
-    return torch.tensor(init_val, requires_grad=requires_grad, device=device)