error while detect image

[haojiubujian1985]

The torch version is 1.0. The error message is as follows. What is the problem?

/usr/local/lib/python2.7/site-packages/mtcnn/network/mtcnn_pytorch.py:9: UserWarning: nn.init.xavier_uniform is now deprecated in favor of nn.init.xavier_uniform_.
nn.init.xavier_uniform(m.weight.data)
/usr/local/lib/python2.7/site-packages/mtcnn/network/mtcnn_pytorch.py:10: UserWarning: nn.init.constant is now deprecated in favor of nn.init.constant_.
nn.init.constant(m.bias, 0.1)
/usr/local/lib/python2.7/site-packages/torch/nn/functional.py:2423: UserWarning: Default upsampling behavior when mode=bilinear is changed to align_corners=False since 0.4.0. Please specify align_corners=True if the old behavior is desired. See the documentation of nn.Upsample for details.
"See the documentation of nn.Upsample for details.".format(mode))
Traceback (most recent call last):
File "detect_on_image_xb.py", line 33, in
boxes, landmarks = detector.detect(img)
File "/usr/local/lib/python2.7/site-packages/mtcnn/deploy/detect.py", line 59, in detect
stage_one_boxes = self.stage_one(img, threshold[0], factor, minsize, nms_threshold[0])
File "/usr/local/lib/python2.7/site-packages/mtcnn/deploy/detect.py", line 13, in wrapper
ret = func(*args, **kwargs)
File "/usr/local/lib/python2.7/site-packages/mtcnn/deploy/detect.py", line 236, in stage_one
img, size=(w, h), mode='bilinear')
File "/usr/local/lib/python2.7/site-packages/torch/nn/functional.py", line 2447, in interpolate
return torch._C._nn.upsample_bilinear2d(input, _output_size(2), align_corners)
TypeError: upsample_bilinear2d(): argument 'output_size' must be tuple of ints, but found element of type float at pos 1

[BrightXiaoHan]

This project was only tested on python3. Is there the same error on python3?