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The below test code for image resize results in an error:
Specs: Ubuntu 14.04 CUDA-8 OpenCV 3.2 / OpenCV 3.1 / OpenCV 3.1 (with CUDA 8 support) Latest Torch-7and related packages GPU: Titan X Pascal
Code:
require 'cutorch' local cv = require 'cv' require 'cv.cudawarping' require 'cv.highgui' require 'cv.imgcodecs' require 'image' cutorch.setDevice(3) local img = cv.imread {arg[1] or 'lena.jpg', cv.IMREAD_COLOR} print("Read image - done") local imgCUDA = img:float():cuda() / 255 print("Cuda conversion - done") for i=0,100,1 do print(i) local resized = cv.cuda.resize{imgCUDA, {1024, 768}} print("Resize - done") print(resized:size()) print(resized:type()) image.save('lenaresized.png',resized:transpose(1,3):transpose(2,3)) end
The output of the above test code is below:
Read image - done Cuda conversion - done 0 Resize - done 768 1024 3 [torch.LongStorage of size 3] torch.CudaTensor . . . 15 Resize - done 768 1024 3 [torch.LongStorage of size 3] torch.CudaTensor THCudaCheck FAIL file=/tmp/luarocks_cutorch-scm-1-1283/cutorch/lib/THC/generic/THCStorage.c line=182 error=17 : invalid device pointer /home/user/torch/install/bin/luajit: cuda runtime error (17) : invalid device pointer at /tmp/luarocks_cutorch-scm-1-1283/cutorch/lib/THC/generic/THCStorage.c:182
There is some memory conversion(?) issue after 15 times of looping. The corresponding line in THCStorage.c is
THCudaCheck( (*self->allocator->free)(self->allocatorContext, self->data));
This code runs in CUDA 6.5/OpenCV 3.1/ Torch 7. Does torch-opencv support CUDA-8?
Could someone look into this issue?
The text was updated successfully, but these errors were encountered:
Hi,
unfortunately, I still don't have a machine with GPU to test on :(
Can you try this code? What's the output?
require 'cutorch' local cv = require 'cv' require 'cv.cudawarping' require 'cv.highgui' require 'cv.imgcodecs' require 'image' cutorch.setDevice(3) local img = cv.imread {arg[1] or 'lena.jpg', cv.IMREAD_COLOR} print("Read image - done") local imgCUDA = img:float():cuda() / 255 print("Cuda conversion - done") local img2 = imgCUDA:clone(); img2 = nil; collectgarbage() print("Deallocate image - done") local resized = cv.cuda.resize{imgCUDA, {1024, 768}} print("Resize - done") print(resized:size()) print(resized:type()) resized = nil; collectgarbage() print("Deallocate resized image - done")
Sorry, something went wrong.
The error is the same. It does not execute the last statement print("Deallocate resized image - done").
Read image - done Cuda conversion - done Deallocate image - done Resize - done 768 1024 3 [torch.LongStorage of size 3] torch.CudaTensor THCudaCheck FAIL file=/tmp/luarocks_cutorch-scm-1-1283/cutorch/lib/THC/generic/THCStorage.c line=182 error=17 : invalid device pointer /home/ipcv/torch/install/bin/luajit: cuda runtime error (17) : invalid device pointer at /tmp/luarocks_cutorch-scm-1-1283/cutorch/lib/THC/generic/THCStorage.c:182
The code works with CUDA 6.5/OpenCV 3.1/ Torch 7 on GTX-980 (5.2 arch).
It shows the above error with CUDA 8.0 on Titan-X Pascal (6.1 arch).
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The below test code for image resize results in an error:
Specs:
Ubuntu 14.04
CUDA-8
OpenCV 3.2 / OpenCV 3.1 / OpenCV 3.1 (with CUDA 8 support)
Latest Torch-7and related packages
GPU: Titan X Pascal
Code:
The output of the above test code is below:
There is some memory conversion(?) issue after 15 times of looping. The corresponding line in THCStorage.c is
This code runs in CUDA 6.5/OpenCV 3.1/ Torch 7. Does torch-opencv support CUDA-8?
Could someone look into this issue?
The text was updated successfully, but these errors were encountered: