m3dv / alignshift Goto Github PK

Hello, I run the test code and have the problem:
RuntimeError: CUDA error: no kernel image is available for execution on the device (launch_kernel at /pytorch/aten/src/ATen/native/cuda/Loops.cuh:102)
frame #0: c10::Error::Error(
2020-10-23 12-07-11屏幕截图

so do you know how to solve it. And what is the cuda version do you use. Thank you!

I try to use ‘./deeplesion/eval.sh ./deeplesion/mconfigs/densenet_a3d.py ./deeplesion/model_weights/adap_7slice_weigts.pth’ but I get this wrong information. It's been bothering me for days......

Here is the info
'''
./deeplesion/mconfigs/densenet_a3d.py
a3d 7 slice
[ ] 0/160, elapsed: 0s, ETA:Traceback (most recent call last):
File "./deeplesion/eval.py", line 210, in
main(checkpoint, cfg_path)
File "./deeplesion/eval.py", line 196, in main
outputs = single_gpu_test(model, dl)
File "./deeplesion/eval.py", line 101, in single_gpu_test
r = model(return_loss=False, rescale=False, **data)
File "/disk/user/zxy/anaconda3/lib/python3.7/site-packages/torch/nn/modules/module.py", line 541, in call
result = self.forward(*input, **kwargs)
File "/disk/user/zxy/anaconda3/lib/python3.7/site-packages/torch/nn/parallel/data_parallel.py", line 150, in forward
return self.module(*inputs[0], **kwargs[0])
File "/disk/user/zxy/anaconda3/lib/python3.7/site-packages/torch/nn/modules/module.py", line 541, in call
result = self.forward(*input, **kwargs)
File "/disk/user/zxy/project/AlignShift/mmdet/core/fp16/decorators.py", line 49, in new_func
return old_func(*args, **kwargs)
File "/disk/user/zxy/project/AlignShift/mmdet/models/detectors/base.py", line 122, in forward
return self.forward_test(img, img_meta, **kwargs)
File "/disk/user/zxy/project/AlignShift/mmdet/models/detectors/base.py", line 105, in forward_test
return self.simple_test(imgs, img_metas, **kwargs)
File "/disk/user/zxy/project/AlignShift/mmdet/models/detectors/two_stage.py", line 268, in simple_test
x = self.extract_feat(img)
File "/disk/user/zxy/project/AlignShift/mmdet/models/detectors/two_stage.py", line 92, in extract_feat
x = self.backbone(img)
File "/disk/user/zxy/anaconda3/lib/python3.7/site-packages/torch/nn/modules/module.py", line 541, in call
result = self.forward(*input, **kwargs)
File "/disk/user/zxy/project/AlignShift/nn/models/truncated_densenet3d_a3d.py", line 168, in forward
x = self.conv0(x)
File "/disk/user/zxy/anaconda3/lib/python3.7/site-packages/torch/nn/modules/module.py", line 541, in call
result = self.forward(*input, **kwargs)
File "/disk/user/zxy/project/AlignShift/nn/operators/a3dconv.py", line 59, in forward
self.padding, self.dilation, self.groups)
RuntimeError: cuDNN error: CUDNN_STATUS_MAPPING_ERROR
'''

Hope your suggestions, thanks so much.

can you tell me about the environment to running the project? such as the version of python, pytorch and other package,
thanks

I see the loading function in "AlignShift/deeplesion/dataset/DeepLesionDataset_25d.py", there is a line "im1-=50". But the annotation says that the image is normalized to 0~255.

def windowing(im, win): """scale intensity from win[0]~win[1] to float numbers in 0~255""" im1 = im.astype(float) im1 -= win[0] im1 /= win[1] - win[0] im1[im1 > 1] = 1 im1[im1 < 0] = 0 im1 *= 255 im1 -= 50 return im1

There is no self..shift_padding_zero in nn/operator/a3dconv.py file. And raised the error:

Hello, I followed your code and test in your trained model. The result is good as you post. However, I trained by my self, with my trained model the result is so bad, it's almost 0.(your model is 291M and my model is 581M with more INFO:state_dict,optimizer,meta) I upload the results picture by the 2 models and hope to your advise. Whether
there is something wrong in the training process? Thank you for your answer.
I upload the result and training log file which is trained from the epoch 1 because the sever stop once

20201101_230002.log