SystemError: CPUDispatcher(<function _get_preds_fromhm at 0x7fc50e018440>) returned a result with an error set

installed using setup.py
and,
running ---> preds = fa.get_landmarks(input) gives error:
TypeError: expected dtype object, got 'numpy.dtype[float32]'

The above exception was the direct cause of the following exception:

```
Traceback (most recent call last):
File "", line 1, in
File "/home/vision3d/anaconda3/lib/python3.7/site-packages/face_alignment-1.3.4-py3.7.egg/face_alignment/api.py", line 110, in get_landmarks
File "/home/vision3d/anaconda3/lib/python3.7/site-packages/torch/autograd/grad_mode.py", line 15, in decorate_context
return func(*args, **kwargs)
File "/home/vision3d/anaconda3/lib/python3.7/site-packages/face_alignment-1.3.4-py3.7.egg/face_alignment/api.py", line 170, in get_landmarks_from_image
File "/home/vision3d/anaconda3/lib/python3.7/site-packages/face_alignment-1.3.4-py3.7.egg/face_alignment/utils.py", line 201, in get_preds_fromhm
SystemError: CPUDispatcher() returned a result with an error set

```
info:
Ubuntu 16
nvidia-smi 465 drivers
cuda-8.0
python 3.7

what may be the issue and how to resolve?

El error ocurre en face_alignment/utils.py en la línea 201 en get_preds_fromhm, involucrando un CPUDispatcher y una discrepancia de dtype. Comience examinando la función _get_preds_fromhm en utils.py y el manejo de tipos de datos numpy/torch. Verifique el dtype del tensor de entrada y el dtype de objeto esperado. Ejecute la prueba fallida con la entrada proporcionada para reproducir el problema, luego trace el flujo de datos para identificar dónde falla la conversión de dtype.

Escrito por el modelo de indexación a partir del texto del issue.