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()
b.numpy()
tf.multiply(a, b).numpy()
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)