numpy to tensor code example

Example 1: tf tensor from numpy

tf.convert_to_tensor(my_np_array, dtype=tf.float32)

Example 2: convert tensor to numpy array

import tensorflow as tf

a = tf.constant([[1, 2], [3, 4]])                 
b = tf.add(a, 1)

a.numpy()
# array([[1, 2],
#        [3, 4]], dtype=int32)

b.numpy()
# array([[2, 3],
#        [4, 5]], dtype=int32)

tf.multiply(a, b).numpy()
# array([[ 2,  6],
#        [12, 20]], dtype=int32)

Example 3: pandas to tensor torch

train_target = torch.tensor(train['Target'].values.astype(np.float32))
train = torch.tensor(train.drop('Target', axis = 1).values.astype(np.float32)) 
train_tensor = data_utils.TensorDataset(train, train_target) 
train_loader = data_utils.DataLoader(dataset = train_tensor, batch_size = batch_size, shuffle = True)