when I run the 'pix2seq_inference_multitask.ipynb', the detection result is below, the detection result is almostly 640,which might be wrong, why the problem happen?
`(<tf.Tensor: shape=(1, 640, 640, 3), dtype=float32, numpy=
array([[[[0.03137255, 0.03529412, 0.04313725],
[0.01960784, 0.02352941, 0.03137255],
[0.00784314, 0.01176471, 0.01960784],
...,
[0.3 , 0.3 , 0.3 ],
[0.3 , 0.3 , 0.3 ],
[0.3 , 0.3 , 0.3 ]],
when I run the 'pix2seq_inference_multitask.ipynb', the detection result is below, the detection result is almostly 640,which might be wrong, why the problem happen? `(<tf.Tensor: shape=(1, 640, 640, 3), dtype=float32, numpy= array([[[[0.03137255, 0.03529412, 0.04313725], [0.01960784, 0.02352941, 0.03137255], [0.00784314, 0.01176471, 0.01960784], ..., [0.3 , 0.3 , 0.3 ], [0.3 , 0.3 , 0.3 ], [0.3 , 0.3 , 0.3 ]],
array([[[1. , 1. , 1. , 1. ], [1. , 1. , 1. , 1. ], [1. , 1. , 1. , 1. ], [1. , 0.5105105, 1. , 1. ], [1. , 1. , 1. , 1. ], [1. , 1. , 1. , 1. ], [0.7327327, 1. , 1. , 1. ], [1. , 1. , 1. , 1. ], [1. , 1. , 1. , 1. ], [1. , 1. , 1. , 1. ]]], dtype=float32)>, <tf.Tensor: shape=(1, 10, 4), dtype=float32, numpy= array([[[640. , 640. , 640. , 640. ], [640. , 640. , 640. , 640. ], [640. , 640. , 640. , 640. ], [640. , 326.7267 , 640. , 640. ], [640. , 640. , 640. , 640. ], [640. , 640. , 640. , 640. ], [468.94894, 640. , 640. , 640. ], [640. , 640. , 640. , 640. ], [640. , 640. , 640. , 640. ], [640. , 640. , 640. , 640. ]]], dtype=float32)>, <tf.Tensor: shape=(1, 10), dtype=int64, numpy=array([[505, 802, 505, 505, 505, 505, 505, 776, 505, 505]])>, <tf.Tensor: shape=(1, 10), dtype=float32, numpy= array([[8.74843026e-05, 9.13504991e-05, 8.93203469e-05, 8.99704537e-05, 8.39981003e-05, 9.77213494e-05, 8.80038278e-05, 8.94075274e-05, 1.05320119e-04, 1.03460596e-04]], dtype=float32)>, <tf.Tensor: shape=(1, 10), dtype=int64, numpy=array([[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]])>, <tf.Tensor: shape=(1, 10, 4), dtype=float32, numpy= 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.], [0., 0., 0., 0.], [0., 0., 0., 0.], [0., 0., 0., 0.], [0., 0., 0., 0.]]], dtype=float32)>, <tf.Tensor: shape=(1, 10, 4), dtype=float32, numpy= 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.], [0., 0., 0., 0.], [0., 0., 0., 0.], [0., 0., 0., 0.], [0., 0., 0., 0.]]], dtype=float32)>, <tf.Tensor: shape=(1, 10), dtype=float32, numpy=array([[0., 0., 0., 0., 0., 0., 0., 0., 0., 0.]], dtype=float32)>, <tf.Tensor: shape=(1, 10), dtype=bool, numpy= array([[False, False, False, False, False, False, False, False, False, False]])>) `