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Cuda_error_launch_failed

Thanks! 0 Comments Show all comments Log In to answer or comment on this question. We recommend upgrading to the latest Safari, Google Chrome, or Firefox. static int CUDA_ERROR_PEER_ACCESS_NOT_ENABLED This error indicates that a call to ::cuMemPeerRegister is trying to register memory from a context which has not had peer access enabled yet via ::cuCtxEnablePeerAccess(), or ddemidov closed this Dec 18, 2013 Sign up for free to join this conversation on GitHub. http://comscity.net/general/core-on-error.html

On the 680MX the grid size is 32 blocks, and on the 650M it is 8 blocks. > > Running in the debugger shows that this exception is raised from the my matlab won't even work for a short period of time. Or is the technology capacity still limited to one context per GPU at any particular time instance? 2. static int CUDA_ERROR_LAUNCH_FAILED An exception occurred on the device while executing a kernel. check it out

Here's the code: https://gist.github.com/arunmallya/c7b6c6cafa6252172727 And here's the imdb: https://www.dropbox.com/s/xapokyw8iinbcyl/imdbHICO.mat?dl=0 I really hope it isn't some silly mistake on my part causing the error :) Sign up for free to join static int CUDA_ERROR_INVALID_CONTEXT This most frequently indicates that there is no context bound to the current thread. See Also:Constant Field Values CUDA_ERROR_NOT_SUPPORTED public static finalint CUDA_ERROR_NOT_SUPPORTED This error indicates that the attempted operation is not supported on the current system or device. CUDA_ERROR_NO_BINARY_FOR_GPU This indicates that there is no kernel image available that is suitable for the device.

This error usually indicates that the user has attempted to pass too many arguments to the device kernel, or the kernel launch specifies too many threads for the kernel's register count. The information log was: The error log was: The CUDA error code was: CUDA_ERROR_LAUNCH_FAILED. What might be the possible cause of error? You might get away by just generating matrices of zeros in getBatch (hence without any need to sharing images). … On 30 Nov 2015, at 01:03, Arun Mallya ***@***.***> wrote: No,

Resource handles are opaque types like CUstream and CUevent. See cuCtxGetApiVersion() for more details. Learn more MATLAB and Simulink resources for Arduino, LEGO, and Raspberry Pi Learn more Discover what MATLAB® can do for your career. https://www.cs.cmu.edu/afs/cs/academic/class/15668-s11/www/cuda-doc/html/group__CUDA__TYPES_g0cdead942fd5028d157641eef6bdeeaa.html This indicates profiling has not been initialized for this context.

The context cannot be used, so it must be destroyed (and a new one should be created). See Also:Constant Field Values CUDA_ERROR_ARRAY_IS_MAPPED public static finalint CUDA_ERROR_ARRAY_IS_MAPPED This indicates that the specified array is currently mapped and thus cannot be destroyed. Already have an account? That is until… For reasons I can't even remember, I downgraded CUDA from 3.2 to 3.1, and suddenly none of my kernels wouldn't run.

This can also be returned if a user mixes different API versions (i.e. 3010 context with 3020 API calls). CUDA_ERROR_UNMAP_FAILED This indicates that an unmap or unregister operation has failed. template device_vector(const command_queue &q, size_t n, const H *host = 0, mem_flags flags = MEM_READ_WRITE) : n(n) { (void)flags; if (n) { q.context().set_current(); CUdeviceptr ptr; cuda_check( cuMemAlloc(&ptr, n * Foren-Regeln -- Standard Style -- Default Mobile Style -- Deutsch (Du) -- Deutsch (Sie) -- English Kontakt Byte-Welt Archiv Impressum Nach oben Alle Zeitangaben in WEZ +1.

static int CUDA_ERROR_INVALID_DEVICE This indicates that the device ordinal supplied by the user does not correspond to a valid CUDA device. http://comscity.net/general/connect-error-tp-account-in-use.html After a few false starts with GLSL shaders and OpenCL, I settled on CUDA, and have been rocking it ever since. The normal way to do this would be to be passing in the length of your array, or have it hard-coded into your kernel.Note that if your kernel fails to launch See Also:Constant Field Values CUDA_ERROR_ILLEGAL_ADDRESS public static finalint CUDA_ERROR_ILLEGAL_ADDRESS While executing a kernel, the device encountered a load or store instruction on an invalid memory address.

Or is the technology capacity still limited to one context per GPU at any particular time instance? 2. Anyway, it took almost four hours of trying nearly everything: Pouring over my changes since the last working SVN version (no revelations) Rolling back my code to an earlier SVN revision static int CUDA_ERROR_FILE_NOT_FOUND This indicates that the file specified was not found. weblink IF you encounter any problems when setting the 'nstreams' variable to, say 10 or 16, then we at least could assume that the error is not caused by a bug in

Join the conversation Registrieren Hilfe Angemeldet bleiben? Is there any reason to think that a large multivector should run into resizing problems of this type? … — Reply to this email directly or view it on GitHub. See Also:Constant Field Values CUDA_ERROR_OPERATING_SYSTEM public static finalint CUDA_ERROR_OPERATING_SYSTEM This indicates that an OS call failed.

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See Also:Constant Field Values CUDA_ERROR_NOT_PERMITTED public static finalint CUDA_ERROR_NOT_PERMITTED This error indicates that the attempted operation is not permitted. See Also:Constant Field Values CUDA_ERROR_OUT_OF_MEMORY public static finalint CUDA_ERROR_OUT_OF_MEMORY The API call failed because it was unable to allocate enough memory to perform the requested operation. Andrea … On 27 Nov 2015, at 22:17, Arun Mallya ***@***.***> wrote: Similar to #325 <#325>, but in vl_nnpool layer Error using vl_nnpool An unexpected error occurred during CUDA execution. In case, multiple contexts are allowed to run concurrently, will it provide similar timing output as compared to scenario 1 (assuming "n" streams in scenario 1 and "n" CPU threads, each

Could you help us in tuning it up considering we are using eclipse as the platform? Unfortunately, the profiler does not work with these versions. See Also:Constant Field Values CUDA_ERROR_PROFILER_DISABLED public static finalint CUDA_ERROR_PROFILER_DISABLED This indicates profiling APIs are called while application is running in visual profiler mode. http://comscity.net/general/console-error-writeline.html Is there any reason to think that a large multivector should run into resizing problems of this type?

The context cannot be used, so it must be destroyed (and a new one should be created). See Also:Constant Field Values CUDA_ERROR_CONTEXT_ALREADY_IN_USE public static finalint CUDA_ERROR_CONTEXT_ALREADY_IN_USE This indicates that the ::CUcontext passed to the API call can only be bound to a single CPU thread at a time Error in cnn_train_dag>accumulate_gradients (line 237) net.params(i).value = net.params(i).value + thisLR * state.momentum{i} ; Error in cnn_train_dag>process_epoch (line 194) state = accumulate_gradients(state, net, opts, batchSize, mmap) ; The reason the code has static int CUDA_ERROR_OPERATING_SYSTEM This indicates that an OS call failed.

CUDA_ERROR_INVALID_VALUE This indicates that one or more of the parameters passed to the API call is not within an acceptable range of values. The CUDA error was: CUDA_ERROR_LAUNCH_FAILED Error in dagnn.Pooling/backward (line 18) derInputs{1} = vl_nnpool(inputs{1}, self.poolSize, derOutputs{1}, ... All existing device memory allocations from this context are invalid and must be reconstructed if the program is to continue using CUDA. Personal Open source Business Explore Sign up Sign in Pricing Blog Support Search GitHub This repository Watch 57 Star 359 Fork 59 ddemidov/vexcl Code Issues 16 Pull requests 0 Projects

You might consider posting this question at the NVIDIA forum. Antworten Zitieren 30.12.2013,07:34 #7 rhushabh Profil Beiträge anzeigen Private Nachricht Blog anzeigen User Bit Registriert seit 28.12.2013 Fachbeiträge 3 Genannt 0 Post(s) Hi Marco, Thanks for your elaborate answer. See Also:Constant Field Values CUDA_ERROR_PEER_ACCESS_NOT_ENABLED public static finalint CUDA_ERROR_PEER_ACCESS_NOT_ENABLED This error indicates that a call to ::cuMemPeerRegister is trying to register memory from a context which has not had peer access You might consider trying to use the profiler of CUDA 4.2, but I understand that installing an older Toolkit/SDK just for the profiler (and afterwards, possibly having to install the newer