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)
list to tensor
pt_tensor_from_list = torch.FloatTensor(py_list)
how to convert tensor to list tensorflow
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)
how can I covert a list of tensor into tensor?
l = list(torch.tensor([1,2,3]))
print(l)
>>>[tensor(1), tensor(2), tensor(3)]
k = torch.stack(l)
print(k)
>>>tensor([1, 2, 3])
list to tensor
a = [1, 2, 3]
b = torch.FloatTensor(a)
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