Traceback (most recent call last):


 "main.py", line 33, in <module>

main()


 "main.py", line 28, in main

t.test()


 "/root/EDSR-PyTorch/src/trainer.py", line 123, in test

self.ckp.save(self, epoch, is_best=(best[1][0, 0] + 1 == epoch))


 "/root/EDSR-PyTorch/src/utility.py", line 88, in save

trainer.loss.plot_loss(self.dir, epoch)


 "/root/EDSR-PyTorch/src/loss/__init__.py", line 111, in plot_loss

plt.plot(axis, self.log[:, i].numpy(), label=label)


 "/root/miniconda3/envs/py36/lib/python3.6/site-packages/matplotlib/pyplot.py", line 3363, in plot

ret = ax.plot(*args, **kwargs)


 "/root/miniconda3/envs/py36/lib/python3.6/site-packages/matplotlib/__init__.py", line 1867, in inner

return func(ax, *args, **kwargs)


 "/root/miniconda3/envs/py36/lib/python3.6/site-packages/matplotlib/axes/_axes.py", line 1528, in plot

for line in self._get_lines(*args, **kwargs):


 "/root/miniconda3/envs/py36/lib/python3.6/site-packages/matplotlib/axes/_base.py", line 406, in _grab_next_args

for seg in self._plot_args(this, kwargs):


 "/root/miniconda3/envs/py36/lib/python3.6/site-packages/matplotlib/axes/_base.py", line 383, in _plot_args

x, y = self._xy_from_xy(x, y)


 "/root/miniconda3/envs/py36/lib/python3.6/site-packages/matplotlib/axes/_base.py", line 242, in _xy_from_xy

"have shapes {} and {}".format(x.shape, y.shape))
ValueError: x and y must have same first dimension, but have shapes (0,) and (1,)
Traceback (most recent call last):


 "predict_c3d_ucf101.py", line 155, in <module>

tf.app.run()


 "/home/tinhh/anaconda2/lib/python2.7/site-packages/tensorflow/python/platform/app.py", line 126, in run

_sys.exit(main(argv))


 "predict_c3d_ucf101.py", line 152, in main

run_test()


 "predict_c3d_ucf101.py", line 133, in run_test

start_pos=next_start_pos


 "/home/tinhh/nnduy/tracvid/C3D-tensorflow/input_data.py", line 106, in read_clip_and_label

np_arr_data = np.array(data).astype(np.float32)
ValueError: setting an array element with a sequence.