tf tensor from numpy
tf.convert_to_tensor(my_np_array, dtype=tf.float32)tf tensor from numpy
tf.convert_to_tensor(my_np_array, dtype=tf.float32)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)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)convert numpy array to tensor
import numpy as np
import torch
numpy_array = np.array([1,3,5])
tensor_array = torch.from_numpy(numpy_array)Copyright © 2021 Codeinu
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