Errors may pop up when processing big images on NVidia cards on Windows (CL_INVALID_COMMAND_QUEUE, CL_INVALID_PROGRAM_EXECUTABLE, CL_MEM_OBJECT_ALLOCATION_FAILURE): The issue is related to a timeout of the operating system interrupting processing on the GPU. Add these keys to the windows registry and restart the machine (warning, don’t do this if you’re not sure. Ask you IT department for support. Read the BSD3 license file for details on what why we’re not responsible for your actions on your computer ):
[HKEY_LOCAL_MACHINE\SYSTEM\CurrentControlSet\Control\GraphicsDrivers] "TdrDelay"=dword:0000003c "TdrDdiDelay"=dword:0000003c
Here is more information about what TDR is: https://docs.microsoft.com/en-us/windows-hardware/drivers/display/tdr-registry-keys
Similar to NVidia drives (see above), issues may appear due to a timeout when processing large images. The issue is related to a timeout of the operating system interrupting processing on the GPU. Add these keys to the windows registry and restart the machine (warning, don’t do this if you’re not sure. Ask you IT department for support. Read the BSD3 license file for details on what why we’re not responsible for your actions on your computer ). Similar to the solution above, enter a new key in the registry of Windows in this path
The key should be called
TdrDelay and have a value of 8.
Sources: https://community.amd.com/thread/180166 https://support.microsoft.com/en-us/help/2665946/display-driver-stopped-responding-and-has-recovered-error-in-windows-7
Fiji crashes when calling the first CLIJ filter: Check if the initialisation contains a proper name for a GPU.
When creating CLIJ instances and closing them repeatedly, it crashes after about 40 attempts. This test allows reproducing the issue on specified hardward. Workaround: Don’t close the CLIJ instance and keep working with the singleton instance.
This might happend with older GPUs which have not been tested. A helpful workaround is converting all images to 32 bit using
run("32-bit"); before sending them to the GPU.
“java.io.IOException: Cannot find source: [Object] <path/filename.cl>” exception: Navigate to the jars subdirectory of your Fiji installation and locate
clearcl.jar files, e.g. by typing
dir clearcl* or
ls clearcl*. If there are several versions installed, remove the older one. In order to fix this exception, you need at least
“clearcl.exceptions.ClearCLException: problem while setting argument ‘parameter_of_type_float’”: To hand over parameters of type float, you need to explicitly type it. Use
from java.lang import Float and
Float(1.5) to handover a value of 1.5 to an OpenCL parameter of type float.
CLIJ doesn’t start on Ubuntu linux with an error message that a class called ClearCLBackendJOCL cannot be initialized. Installing ‘ocl-icd-opencl-dev’ helped here.
CLIJ throws various exceptions, like CL_OUT_OF_HOST_MEMORY on Linux. Try installing an OpenCL-driver such as beignet. On Fedora 27 Linux, this command list helped:
sudo yum install ocl-icd-devel sudo yum install cmake sudo yum install llvm sudo yum install llvm-devel sudo yum install libdrm libdrm-devel sudo yum install libXext-devel sudo yum install libXfixes-devel sudo yum install clang-devel git clone https://github.com/intel/beignet.git cd beignet/ mkdir build cd build cmake ../ make sudo make install
More info can be found on the website of the beignet project.