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baowenbo
Colab pro error Interpolation
https://colab.research.google.com/github/AhabbscienceStudioPak/DAIN/blob/master/DAIN_Colab.ipynb#scrollTo=LH7EmLT2gA4l colab PRO assign GPU name, driver_version, memory.total [MiB] Tesla V100-SXM2-16GB, 418.67, 16130 MiB
#interpolation
/content/DAIN
revise the unique id to a random numer 91876
Namespace(SAVED_MODEL=None, alpha=[0.0, 1.0], arg='./model_weights/91876-Thu-Sep-03-17-38/args.txt', batch_size=1, channels=3, ctx_lr_coe=1.0, datasetName='Vimeo_90K_interp', datasetPath='', dataset_split=97, debug=False, depth_lr_coe=0.001, dtype=<class 'torch.cuda.FloatTensor'>, end_frame=137, epsilon=1e-06, factor=0.2, filter_lr_coe=1.0, filter_size=4, flow_lr_coe=0.01, force=False, frame_input_dir='/content/DAIN/input_frames', frame_output_dir='/content/DAIN/output_frames', log='./model_weights/91876-Thu-Sep-03-17-38/log.txt', lr=0.002, netName='DAIN_slowmotion', no_date=False, numEpoch=100, occ_lr_coe=1.0, patience=5, rectify_lr=0.001, save_path='./model_weights/91876-Thu-Sep-03-17-38', save_which=1, seed=1, start_frame=1, time_step=0.2997002997002997, uid=None, use_cuda=True, use_cudnn=1, weight_decay=0, workers=8)
cudnn is used
Interpolate 2 frames
error in correlation_forward_cuda_kernel: no kernel image is available for execution on the device
Warning: Legacy autograd function with non-static forward method is deprecated and will be removed in 1.3. Please use new-style autograd function with static forward method. (Example: https://pytorch.org/docs/stable/autograd.html#torch.autograd.Function) (THPFunction_do_forward at /pytorch/torch/csrc/autograd/python_function.cpp:622)
Traceback (most recent call last):
File "colab_interpolate.py", line 112, in
please tell me how to deal with the error?
Hi there! You seem to be using an old version of the colab file. I believe that also the repository has changed minor things about the interpolation so if I was in your situation, I'd give it a try with the new version. You can find it here: https://github.com/baowenbo/DAIN/blob/master/Colab_DAIN.ipynb
: https://github.com/baowenbo/DAIN/blob/master/Colab_DAIN.ipynb
Using this Colab, an error occurred in the fps detection block,
and Google drive was successfully connected.
sorry for my English, I'm using a translator
cp: cannot stat '/content/gdrive/My Drive//content/gdrive/My': No such file or directory cp: cannot stat 'Drive/Pexels': No such file or directory cp: cannot stat 'Videos': No such file or directory cp: cannot stat '2759484.mp4': No such file or directory
CalledProcessError Traceback (most recent call last)
3 frames
/usr/local/lib/python3.6/dist-packages/google/colab/_system_commands.py in check_returncode(self) 136 if self.returncode: 137 raise subprocess.CalledProcessError( --> 138 returncode=self.returncode, cmd=self.args, output=self.output) 139 140 def repr_pretty(self, p, cycle): # pylint:disable=unused-argument
CalledProcessError: Command 'yes | cp -f /content/gdrive/My\ Drive//content/gdrive/My Drive/Pexels Videos 2759484.mp4 /content/DAIN/' returned non-zero exit status 1.
@AlexU225 Hi, the error is simply that it's not finding the file path. See the error you got:
cp: cannot stat '/content/gdrive/My Drive//content/gdrive/My': No such file or directory cp: cannot stat 'Drive/Pexels': No such file or directory cp: cannot stat 'Videos': No such file or directory cp: cannot stat '2759484.mp4': No such file or directory
So, in parameters, instead of /content/gdrive/My Drive/Pexels... you should use Pexels...
@AlexU225 Hi, the error is simply that it's not finding the file path. See the error you got:
cp: cannot stat '/content/gdrive/My Drive//content/gdrive/My': No such file or directory cp: cannot stat 'Drive/Pexels': No such file or directory cp: cannot stat 'Videos': No such file or directory cp: cannot stat '2759484.mp4': No such file or directory
So, in parameters, instead of
/content/gdrive/My Drive/Pexels...you should usePexels...
Thank you for your advice! But now there is an error in this block
File "/usr/local/lib/python3.6/dist-packages/torch/nn/modules/module.py", line 532, in call result = self.forward(*input, **kwargs) File "/usr/local/lib/python3.6/dist-packages/torch/nn/modules/conv.py", line 345, in forward return self.conv2d_forward(input, self.weight) File "/usr/local/lib/python3.6/dist-packages/torch/nn/modules/conv.py", line 342, in conv2d_forward self.padding, self.dilation, self.groups) RuntimeError: cuDNN error: CUDNN_STATUS_NOT_SUPPORTED. This error may appear if you passed in a non-contiguous input.
Hey @AlexU225 I'm glad you made it that far! Unfortunately, I cannot help you there. That seems like a problem with the image processing itself.
I have same problem with Tesla V100-SXM2-16GB,but P100-PCIE-16GB is work. RuntimeError: CUDA call failed (correlation_forward_cuda at correlation_cuda.cc:80) I tried to use new version,but it still happened. please tell me how to deal with the error?
Hello, I have the same problem as @niuhuojian also with the Tesla V100-SXM2-16GB. Which I am using on Google Colab. Here I get the following error when running the notebook from: https://github.com/baowenbo/DAIN/blob/master/Colab_DAIN.ipynb
I tried already some things to fix it. using different combinations of Cuda, gcc and torch versions . (Cuda 9.0, gcc 6.5, torch 1.0.0/Cuda 9.0, gcc 6.5, torch 1.1.0/ Cuda 9.0, gcc 4.8, torch, pytorch 0.4.1 /Cuda 10.0 gcc 7.5, torch 1.4/Cuda 10.1 gcc 7.5, torch 1.6.) But non of them worked for me.
I also tried to use the solution from from CyFeng16 from issue#44 in but this also seems to stop working.
When I use Cuda 9.0 with gcc-4.8 g++-4.8 which used to work around 4 month ago. This one as well as some of the other combinations gave me the FilterInterpolation Module error from the my_packages folder. see below:
Traceback (most recent call last):
File "train.py", line 15, in
I am slowly running out of ideas to fix that. Does anyone have a working notebook, or an idea what else I could try to do? That would be great!
Hi there, I think that's caused by the building process of DAIN packages
ModuleNotFoundError: No module named 'filterinterpolation_cuda'
This means the "filterinterpolation_cuda" package is not installed. Did you run build.sh?
Since you have V100 with the compute compatibility of 7.0, you should uncomment the line
# '-gencode', 'arch=compute_70,code=sm_70',
at DAIN/my_package/compiler_args.py. Then run the build.sh at my_package and PWCNet.
AD. For eaiser installation and usage, refer to iBobbyTS/VFIN, this is kind of like a Video interpolation toolkit, of cause DAIN is in it. I have a colab notebook and you can store the whole built VFIN in drive, every time you only need to extract the files to Colab Runtime and you can start using it.
I have same problem with Tesla V100-SXM2-16GB, RuntimeError: CUDA call failed (correlation_forward_cuda at correlation_cuda.cc:80). niuhuojian said that P100-PCIE-16GB works, unfortunately I can't specify which GPU should be used . The only reason to stack with this version becouse intrigued the ability to specify random output FPS (60fps)
I have same problem with Tesla V100-SXM2-16GB,
RuntimeError: CUDA call failed (correlation_forward_cuda at correlation_cuda.cc:80).
niuhuojian said that P100-PCIE-16GB works, unfortunately I can't specify which GPU should be used .
The only reason to stack with this version becouse intrigued the ability to specify random output FPS (60fps)
Did you try my suggestions a month ago?
I uncommented '-gencode', 'arch=compute_70,code=sm_70' in the compiler_args.py as you suggested and switched to !pip install torch==1.0.0 torchvision==0.2.1 as TaoTeCha suggested in another post https://github.com/baowenbo/DAIN/issues/117#issuecomment-725081412 The colab is working with a V100 now
I uncommented '-gencode', 'arch=compute_70,code=sm_70' in the compiler_args.py as you suggested and switched to !pip install torch==1.0.0 torchvision==0.2.1 as TaoTeCha suggested in another post #117 (comment) The colab is working with a V100 now
This is in DAIN/my_package/compiler_args.py
