title: Can I convert a Numpy ndarray to a Tensor?
body: <p>I have an object, that has a length of 40,000. Each of those 40,000 arrays has a varying length. All the values in the arrays are integers (0-25).</p>
  <p>My XTrain data looks something like this:</p>
  <pre><code>[array([13,  8,  3,  7, 12, 16, 11,  1,  9, 17,  2, 18,  3,  5, 12, 19,  9,
         10, 20, 14,  1, 15, 12, 19,  2,  2,  6, 20, 14, 19,  2,  7, 12,  2,
          2,  1, 10,  8,  5, 10, 11,  2, 12, 11,  5,  7, 18, 12, 16, 20,  2,
         10, 11,  7,  1,  7,  5,  5,  1,  4,  9, 10,  9, 13, 11, 20,  7, 10,
         15, 15, 12, 13, 16, 20, 16,  8, 14, 13,  8, 19, 11, 12,  8, 12, 16,
         16, 11, 13, 15, 19,  7,  6, 14,  8,  4, 11, 12, 14, 12, 19,  2,  3,
          2,  7, 14, 18,  5,  2,  8, 19, 19, 20,  4, 17, 20,  8, 12,  3, 17,
          1, 12, 10,  6,  4, 19, 10, 12,  9,  6, 11,  7,  7,  4, 12, 13,  8,
          7,  6, 11, 16, 10, 15, 19, 15,  8, 16, 15, 14, 17,  8,  2, 12, 24])
   array([13,  2, 20, 11, 12, 14,  8,  8, 17, 16, 20,  1,  3,  1,  7,  2, 14,
         11,  2, 20,  1,  4, 10, 11,  7, 16,  3,  1,  2,  6,  8,  6, 20,  1,
         17, 20, 11, 16,  1, 15,  1, 12, 10, 17,  3,  9, 11, 20,  1, 13, 10,
          7, 12, 17, 10, 16,  8,  6,  4,  1, 11, 15,  3, 10, 16,  4,  1,  7,
          2, 10, 14,  1,  7, 11, 11, 17,  8, 11,  1,  1,  1,  6, 15,  8, 14,
         15, 11,  1,  6, 11, 12, 17, 14, 20,  4,  6,  7, 14,  1,  6, 10, 12,
          9, 20, 11,  9,  8, 10, 16, 11, 11,  8,  6,  5, 15,  4, 16, 10,  3,
          1,  1, 11, 10,  5,  2,  8,  7, 12, 13, 16, 10,  1, 10, 13,  1,  8,
         20, 11,  7,  1,  2,  8,  9,  3, 20, 17, 20, 10,  4, 15, 20,  7, 12,
         11, 11,  1, 20,  8,  9, 19, 11,  7, 16, 17, 20,  4, 10,  1,  7, 16,
         17,  2,  2, 10,  1,  1, 16,  2, 10, 15,  1,  4,  9, 13, 20, 11, 13,
          1,  8, 14, 17,  1,  8,  3,  7, 12,  8,  7, 11, 20, 20, 11,  8,  2,
          3,  8, 16,  4, 19, 16,  1,  1, 20, 11,  1,  1,  5, 11,  2,  1,  4])
      ...
  ]
  </code></pre>
  <p>Upon trying to convert this data to a Tensor by using:</p>
  <pre><code>x_train = tf.convert_to_tensor(
      XTrain
  )
  </code></pre>
  <p>I am given the following error: <code>ValueError: Failed to convert a NumPy array to a Tensor (Unsupported object type numpy.ndarray).</code></p>
  <p>EDIT 1: Someone suggested using this instead:</p>
  <pre><code>x_train = tf.convert_to_tensor(
      XTrain, np.float32
  )
  </code></pre>
  <p>I then instead get <code>TypeError: only size-1 arrays can be converted to Python scalars</code> &amp; <code>ValueError: setting an array element with a sequence.</code></p>
  <p>My XTrain data is created like this:</p>
  <pre><code>XTrain = np.empty([len(AArecords)], dtype=object);
  XTest = np.empty([len(AArecords)], dtype=object);
  i = 0;
  while (i &lt; 40000):
    XTrain[i] = np.array(aa2int(AArecords[i]))
    i += 1
  XTrain = np.transpose(XTrain)
  </code></pre>
  <p>AArecords looks like this:</p>
  <pre><code>['MGNEKSLAHTRWNCKYHIVFAPKYRRQVFYREKRRAI...'
   'MRVLKFGGTSVANAERFLRVADILESNA...'
   'MVKVYAPASSANMSVGFD...*'
   ...]
  </code></pre>