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Numpy Array to Tensor

Summary​

  • Converting numpy data to tensor

Content​

Numpy arrays can easily be converted to Tensor

import numpy as np

numpy_A = np.arange(1, 25, dtype=np.int32)
numpy_A

"""
array([ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,
       18, 19, 20, 21, 22, 23, 24], dtype=int32)
"""

tensor = tf.constant(numpy_A)
tensor
"""
<tf.Tensor: shape=(24,), dtype=int32, numpy=
array([ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,
       18, 19, 20, 21, 22, 23, 24], dtype=int32)>
"""