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numpy - ValueError: Can't convert non-rectangular Python sequence to Tensor

I want to change list to tensor with tf.convert_to_tensor, data is following:

data=[

array([0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,
   0., 0., 0., 0., 0., 0., 0., 1., 0., 0., 0., 0., 0., 0., 0., 0., 0.,
   0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,
   0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,
   0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,
   0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,
   1., 0., 0.]), 
array([0., 0., 0., 0., 0., 0., 0., 0., 1., 0., 0., 0.]), 
array([0., 0., 0., 1., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,
   0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,
   0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,
   0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,
   0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,
   0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 1.,
   0., 0., 0.]), 
array([0., 0., 0., 0., 0., 0., 1., 0., 0., 0., 0., 0.])
    ]

it didn't work, system says:

ValueError: Can't convert non-rectangular Python sequence to Tensor.

how to solve this problem?

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by (71.8m points)

I'm not sure whether they exist in TensorFlow 1 but TensorFlow 2.0 supports RaggedTensors, which the documentation describes as "... the TensorFlow equivalent of nested variable-length lists."

I think it would be trivial to convert your data to RaggedTensors. It might even be as easy as:

data_tensor = tf.ragged.constant(data)

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