Answers for "empty tensor"

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empty tensor

netInput = np.empty([0, 4])
    netTarget = np.empty([0, 4])
    inputWidth = 2

    for step in range(data.shape.as_list()[-2]-frames_width-1):
        netInput = tf.concat([netInput, data[0, step:step + frames_width, :]], -2)
        target = tf.concat([target, data[0, step + frames_width + 1:step + frames_width + 2, :]], -2)

Posted by: Guest on March-25-2021

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