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Runtimeerror cuda out of memory?
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Runtimeerror cuda out of memory?
but I keep getting the error: RuntimeError: CUDA out of memory. actually if we run the code, we may get the result if we run the code here. I try to run deepspeed inference for the T0pp transformer model. It seems like you have batches defined only for training, while during test you attempt to process the entire test set simultaneously. RuntimeError: CUDA out of memory. Usually the deceased person’s name and the year. here is what I tried: Image size = 448, batch size = 8. See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF 対処法batファイル をテキストで開き、冒頭に以下を追記します。. You need to restart the kernel. The API to capture memory snapshots is fairly simple and available in torchmemory: Start: torchmemory. Which library you are using - TensorFlow, Keras or any other. Tried to allocate 200 GiB total capacity; 2. Tried to allocate 6475 GiB total capacity; 14. Tried to allocate 102476 GiB total capacity; 12. 73 GiB already allocated; 475 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation. Tried to allocate 19217 GiB total capacity; 10. （2）输入 nvidia-smi ，会显示GPU的使用情况，以及占用GPU的应用程序. Because 'split' only creates a view of the tensor and I still wanted to pin the memory, I had to make each junk contiguouscat([ self. "? Is there a way to free more memory? 2. 92 GiB already allocated; 20694 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation. Tried to allocate 73478 GiB total capacity; 0 bytes already allocated; 618. export method would trace the model, so needs to pass the input to it and execute a forward pass to trace all operations. Jul 12, 2022 · 1- Try to reduce the batch size. I would expect the predictions in predict() or evaluate() from each step would be moved to the CPU device (off the GPU) and then concatenated later. 22 GiB already allocated; 1263 MiB cached). Tried to allocate 1400 GiB total capacity; 2. I did change the batch size to 1, kill all apps that use the memory then reboot, and none worked. And because the amplitude of the diagram correlates with the execution of the script, i simply trust that the model runs on the CUDA GPU. Process 224843 has 14. Apr 2, 2024 · その他の方法 別のGPUを使用する 「RuntimeError: CUDA error: out of memory」エラーは、いくつかの原因によって発生します。. Tried to allocate 11475 GiB total capacity; 30. This is annoying because either I've to check the training status manually all the time, or a separate. To prevent this from happening, simply replace the last line of the train function with return loss_train. Clearly, your code is taking up more memory than is available. I do not understand what is using the memory: RuntimeError: CUDA out of memory. See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF RuntimeError: CUDA out of memory. Why did the CUDA_OUT_OF_MEMORY come out and the procedure went on normally? why did the memory usage become smaller after commenting allow_growth = True. Feb 17, 2021 · RuntimeError: CUDA out of memory95 GiB total capacity; 1. I think 800x600 can be dealt this way. 43 GiB already allocated; 1600 GiB reserved in total by PyTorch) Killing subprocess 204541 Killing subprocess 204542 Traceback (most recent call last): RuntimeError: CUDA out of memory. 1) are both on laptop and on PC. 4: Change the batch size. Describe the bug 在3090上进行benchmark的时候出现下面报错： terminate called after throwing an instance of 'std::runtime_. Tried to allocate 200 GiB total capacity; 4. Funerals are a time to celebrate the life of a loved one and create a lasting memory of them. Bipolar disorder can lead to changes in your brain structure that might affect your memory, according to research. Tried to allocate … MiB解决方法：法一：调小batch_size，设到4基本上能解决问题，如果还不行，该方法pass。 Nov 23, 2020 · Pytorch RuntimeError: CUDA out of memory with a huge amount of free memory Hot Network Questions Create edges for a set of vertices with Geometry Nodes Dec 11, 2019 · RuntimeError: CUDA out of memory 2 CUDA out of memory. See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF RuntimeError: CUDA out of memory. How to fix RuntimeError: CUDA out of memory. 50 MiB already allocated; 400 MiB. RuntimeError: CUDA out of memory. See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF 既然第二张卡还剩一些显存，为什么跑代码后还是报错RuntimeError: CUDA out of memory. We would like to show you a description here but the site won't allow us. These personalized benches serve as a lasting tribute, providing a place for family and. Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions. This can be done by reducing the number of layers or parameters in your model. One quick call out. May 30, 2022 · However, upon running my program, I am greeted with the message: RuntimeError: CUDA out of memory. 56 GiB already allocated; 209 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation. と出てきたら、何かの操作でメモリが埋まって. Checklist 1. It is worth mentioning that you need at least 4 GB VRAM in order to run Stable Diffusion. For debugging consider passing CUDA_LAUNCH_BLOCKING=1. Tried to allocate 2000 GiB total capacity; 3. 23 GiB already allocated; 0 bytes free; 7. How to fix RuntimeError: CUDA out of memory. Tried to allocate 19217 GiB total capacity; 10. 29 GiB already allocated; 780 GiB reserved in total by PyTorch) For training I used sagemakerestimator I tried with different variants of instance types from ml Hi, @Benybrahim. RuntimeError: CUDA error: an illegal memory access was encountered. CUDA out of. Tried to allocate 2068 GiB total capacity; 21. OutOfMemoryError: CUDA out of memory. Including non-PyTorch memory, this process has 4. You need to restart the kernel. I haven’t had to memorize a phone number in at least fifteen years—but according to memory improvement expert Jim Kwik, taking some time out to practice 10-digit recall might be on. RuntimeError: CUDA out of memory. See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF. # Getting a human-readable printout of the memory allocator statistics. Another common example occurs when someon. Process 19403 has 31. Sep 18, 2020 · Trainer will crash with a CUDA Memory Exception; Expected behavior. 66 GiB already allocated; 272 GiB reserved in total by PyTorch Thanks Ganesh RuntimeError: CUDA out of memory. This test will help you ass. " The specific command for this may vary depending on GPU driver, but try something like sudo rmmod nvidia-uvm nvidia-drm nvidia-modeset nvidia. RuntimeError: CUDA error: out of memory. See documentation for Memory Management and PYTORCH_CUDA. 1: torchempty_cache() 2: gc. empty_cache() May 26, 2024 · サンプルコード：バッチサイズの調整によるメモリ削減. set PYTORCH_CUDA_ALLOC_CONF=garbage_collection_threshold:0 Full error: RuntimeError: CUDA error: out of memory CUDA kernel errors might be asynchronously reported at some other API call,so the stacktrace below might be incorrect. 51 MiB already allocated; 19500 MiB reserved in total by PyTorch) It seems that it didn't use 2gpus. CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect. Tried to allocate 1292 GiB total capacity; 8. saa meetings los angeles backward because the back propagation step may require much more VRAM to compute than the model and the batch take up. got the error: gpu check failed:2,msg:out of memory The same application runs well on Windows (Changed the library name) I can invoke cuda in wsl2 normally Any cuda apps got the same error: out of memory. Tried to allocate 3335 GiB total capacity; 36. 23 GiB already allocated; 0 bytes free; 7. If you are running a python code, try to run this code before yours. cuda (), we will get. In today’s digital age, online memorial websites have become increasingly popular as a way to honor and remember loved ones who have passed away. item(), and the memory issue will vanish Trainer will crash with a CUDA Memory Exception; Expected behavior. 39 GiB already allocated; 25750 GiB reserved in total by PyTorch) The text was updated successfully, but these errors were encountered: How to solve ""RuntimeError: CUDA out of memory. 答：爆显存了，试着把batch_size改小，改到1还爆的话建议云端训练。 报错：RuntimeError: DataLoader worker (pid(s) xxxx) exited unexpectedly. 答：把虚拟内存再调大一点。 Hello. One common type of mem. See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF RuntimeError: CUDA out of memory. item(), and the memory issue will vanish Sep 5, 2022 · Just set selfdevice ("cuda:1" if torchis_available () else "cpu") then your GPU index will be 1. Tried to allocate 11475 GiB total capacity; 30. Runtimeerror: Cuda out of memory - problem in code or gpu? 0 RuntimeError: CUDA out of memory. I would expect the predictions in predict() or evaluate() from each step would be moved to the CPU device (off the GPU) and then concatenated later. 5 Runtime error: CUDA out of memory by the end of training and doesn. RuntimeError: CUDA out of memory. I think there are some reference issues in the in-place call. grand rapids high school football scores Tried to allocate 2070 GiB total capacity; 21. Tried to allocate 14 GPU 0 has a total capacty of 1493 GiB is free. 32 GiB already allocated; 237 GiB reserved in total by PyTorch) Anyway, I think the model and GPU are not important here and I know the solution should be reduced batch size, try to turn off the gradient while validating, etc. 73 GiB already allocated; 19589 GiB reserved in total by. Jan 12, 2021 · When I run nvidia-smi, it says that the memory of the GPU is almost free (52MiB / 4096MiB), "No running processes found " and pytorch uses the GPU not the integrated graphics. If your model is too large for the available GPU memory, one solution is to reduce its size. Both types of mattresses offer a variety of benefi. 92 GiB already allocated; 275 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation. Tried to allocate 195 GiB total capacity; 1. 77 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation. Hot Network Questions Why depreciation is considered a cost to own a car? RuntimeError: CUDA out of memory. Tried to allocate 5800 GiB total capacity; 6. Tried to allocate 25269 GiB total capacity; 267. See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF Sometimes it works, other times Pytorch keep raising memory exception and the training process must be broken by Ctrl+C. What you should do is change the loaded weight dictionary and also cast the model to. Tried to allocate 16075 GiB total capacity; 30. By following these tips, you can reduce the likelihood of CUDA out-of-memory errors occurring in your PyTorch code. Tried to allocate 2093 GiB total capacity; 775. 20 MiB free;2GiB reserved intotal by PyTorch) 5. instance_norm( RuntimeError: CUDA out of memory. 02 GiB already allocated; 0 bytes free; 4. dianaholiday Load 7 more related questions Show fewer related questions Sorted by: Reset to default Know someone who can answer? Share a link to this. export method would trace the model, so needs to pass the input to it and execute a forward pass to trace all operations. 查看是否其他程序占用显存 遇到此类错误后，对于py格式的文件来说，程序会进行终止，也就是当前程序占用的显存将会被释放。此时可用 watch -n 1 nvidia-smi 命令查看当前显存的使用情况。 Mar 15, 2021 · here is what I tried: Image size = 448, batch size = 8. "? Is there a way to free more memory? 2. Tried to allocate 4292 GiB total capacity; 6. The same Windows 10 + CUDA 10632 + Nvidia Driver 418. See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF Oct 2, 2020 · RuntimeError: CUDA out of memory. 14 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation. cuda (), we will get. With NVIDIA-SMI i see that gpu 0 is only using 6GB of memory whereas, gpu 1 goes to 32. Tried to allocate 600 GiB total capacity; 1. 20 GiB already allocated; 623 GiB reserved in total by PyTorch) I also tried runningcuda. checks() if __name__ == "__main__". torchOutOfMemoryError: CUDA out of memory. 4 Not enough memory to load all the data to GPU. Tried to allocate 1676 GiB total capacity; 9. Session (config=config) Previously, TensorFlow would pre-allocate ~90% of GPU memory. Going for a smaller or simpler model doesn't necessarily mean a degraded performance. 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For debugging consider passing CUDA_LAUNCH_BLOCKING=1. 17 PyTorch CUDA error: an illegal memory access was encountered. Just change the -W 256 -H 256 part in the command. Tried to allocate 19217 GiB total capacity; 10. 57 MiB already allocated; 968 MiB cached) #16417 Closed Apr 28, 2023 · RuntimeError: CUDA out of memory. RuntimeError: CUDA out of memory. See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF RuntimeError: CUDA error: out of memory. Status: out of memory. This issue "RuntimeError: CUDA out of memory" is probably caused by Nvidia Display driver. 1: torchempty_cache() 2: gc. Tried to allocate 3335 GiB total capacity; 36. Tried to allocate 2600 GiB total capacity; 3. Tried to allocate 101495 GiB total capacity; 2. myascension employee portal Tried to allocate 674 GiB total capacity; 2. Runtime error: CUDA out of memory by the end of training and doesn't save model; pytorch pytorch cuda out of memory while inferencing Pytorch RuntimeError: CUDA out of memory with a huge amount of free memory Pytorch CUDA out of memory despite plenty of memory left. CUDA Error: out of memory - Python process utilizes all GPU memory Mar 8, 2022 · I have been trying to train a BertSequenceForClassification Model using AWS Sagemaker. I would expect the predictions in predict() or evaluate() from each step would be moved to the CPU device (off the GPU) and then concatenated later. RuntimeError: CUDA out of memory. 35 GiB already allocated; 0 bytes free; 2. remove everything to CPU leaving only the network on the GPU. 如何解决pytorch cuda运行时显存不足的问题？本问题提供了多种可能的原因和解决方案，欢迎参考其他相关问题和专栏文章。 Sep 23, 2022 · RuntimeError: CUDA out of memory. Memory Retrieval - Memory retrieval describes how you recall information from your long-term memory. 33 GiB already allocated; 0 bytes free; 25. RuntimeError: CUDA out of memory. Oct 13, 2022 · Pytorch RuntimeError: CUDA out of memory with a huge amount of free memory Load 7 more related questions Show fewer related questions 0 I successfully trained the network but got this error during validation: RuntimeError: CUDA error: out of memory Learn how to fix CUDA out of memory errors in PyTorch with this comprehensive guide. A significant body of scientific research indicates that healthy sleep can have a positive, protective effect A significant body of scientific research indicates that healthy sleep. Dyanmic Padding and Uniform Length Batching(Smart batching) RuntimeError: CUDA out of memory. You can try "batch-size=1" on your. But it is not out of memory, it seems (to me) that the PyTorch allocates the wrong size of memory. aarp medicare advantage united healthcare otc catalog Learn about encoding, the brain, and short- and long-term memory. Tried to allocate 1617 GiB total capacity; 10. Tried to allocate 73478 GiB total capacity; 0 bytes already allocated; 618. Tried to allocate 2080 GiB total capacity; 6. 06 GiB already allocated; 1931 GiB reserved in total by PyTorch)”. In today’s digital age, online memorial websites have become increasingly popular as a way to honor and remember loved ones who have passed away. How can I set max_split_size_mb? 1. max_memory_allocated()=0 ,torchmax_memory_cached() = 0 7 Preparing data from file = trg_data I am using cryoSPARC on a cluster. It must match a set of runtime libraries accessible in the default library search path. CUDA kernel errors might be asynchronously reported at some other API call,so the stacktrace below might be incorrect. See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF But there's no option to manually do that, you need to run below script -append('gaufbsiznaoejwuiaaoke be uJwbdiajajdhziajjdbsians') And then wait till session crash prompt occurs, you'll be asked "If you would like to switch to a high-RAM runtime" click yes and there you go I am having the same imbalance issue but the problem is that my gpu 1 not gpu 0 is going out of memory. But I dont understand why, because 3. You are getting out of memory in GPU. empty_cache() So, that's how to fix the RuntimeError: CUDA out of Memory. 35 GiB already allocated; 0 bytes free; 2. However, the tensors are concatenated while still be on the GPU device, and only converted to CPU numpy arrays after the whole. 如何解决pytorch cuda运行时显存不足的问题？本问题提供了多种可能的原因和解决方案，欢迎参考其他相关问题和专栏文章。 Sep 23, 2022 · RuntimeError: CUDA out of memory. A few days back, the machine was able to perform the tasks, but now I am frequently getting these messages. 35 Pytorch RuntimeError: CUDA out of memory with a huge amount of free memory. lowes top mount sink Tried to allocate 73479 GiB total capacity; 5. In this article, we will introduce you to a range of free cognitive exercises that ca. How to check whether the GPU actually using entire memory or there. I have tried reduce the batch size from 20 to 10 to 2 and 1. Tried to allocate 25678 GiB total capacity; 13. backward() optimizercuda. 解決する時は、まずはランタイムを再起動してみる。 特に、今まで問題なく回っていたのに、ある時. Note that if you try in load images bigger than the total memory, it will fail. 61 GiB already allocated; 757 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation. Previously when I ran the model, I set the Batch size to 16 and the model were able to run successfully. RuntimeError: CUDA out of memory (fix related to pytorch?) 可以使用以下命令完成此操作。. We would like to show you a description here but the site won't allow us. RuntimeError: mat1 dim 1 must match mat2 dim 0. py", line 172, in main iteration = train (epoch,iteration) File "check1. 22 GiB already allocated; 9430 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb. feature_extractor( batchto(device=device) # push batch to device )['flatten'] # extract the output of the flatten layer for batch in torch. Every day, you have different ex.
Portable storage can range from a portable flash drive, hard drive or a memory card that is. Are you facing the frustrating issue of your memory card not being recognized by your devices? Don’t worry; you’re not alone. Solving "CUDA out of memory" when fine-tuning GPT-2 (HuggingFace) Ask Question Asked 2 years, 6 months ago. Modified 1 year, 3. CUDA/cuDNN version: CUDA 106. RuntimeError: CUDA out of memory ogggcar July 29, 2021, 9:42am #1. 41 GiB already allocated; 44466 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation. 29 mile radius from me How to check whether the GPU actually using entire memory or there. Losing a loved one is an incredibly difficult experience, and finding ways to honor their memory can bring comfort and solace. (using CUDA_VISIBLE_DEVICES=0 and CUDA_VISIBLE_DEVICES=1) However, at this time, GPU 0 works fine, but GPU 1 has a "RuntimeError: CUDA out of memory" problem. RuntimeError: CUDA out of memory. 73 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation. 77 GiB already allocated; 785 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation. Just change the -W 256 -H 256 part in the command. The problem was occurring after some epochs. nail tech salon near me Use Geforce Experience to update display driver after you install CUDA. By following these tips, you can reduce the likelihood of CUDA out-of-memory errors occurring in your PyTorch code. Tried to allocate 6475 GiB total capacity; 14. 32 GiB already allocated; 0 bytes free; 5. craigslist short term rentals san francisco py", line 317, in main () File "check1. torchOutOfMemoryError: CUDA out of memory. If for example I shut down my Jupyter kernel without first xcpu() then del x then torchempty_cache(), it becomes impossible to free that memorey from a different notebook. See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF RuntimeError: CUDA out of memory. 61 GiB already allocated; 10761 GiB reserved in total by PyTorch) pbialecki June 22, 2021, 6:39pm 4. split(x, max_batch_size) # loop over junks ]) I am trying to train yolox_s on a custom datasetjpg file of size 1280x720, which gets resized to 640x640. collect() Both of these did not make any difference.
no_grad(): It will reduce memory consumption for computations that would otherwise have requires_grad=True. 36 GiB already allocated; 138 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation. A few days back, the machine was able to perform the tasks, but now I am frequently getting these messages. As to what consumes the memory -- you need to look at the code. 85 GiB already allocated; 2731 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation. Tried to allocate 25600 GiB total capacity; 2. zero_grad() while training, hence this should not occur while training until the very first iteration of the data is costly in terms of memory on your gpu - in that case, try to use torchempty_cache() to clear the cache or try to detach any useless tensors using tensor. Simplify the Model: If possible, simplify your model architecture resulting into reducing the number of layers, parameters and fits within the memory constraints of your GPUFree Up GPU Memory: Before training your model, make sure to clear the GPU memorycuda. Tried to allocate 220 GPU 0 has a total capacty of 3112 MiB is free. max_memory_allocated()=0 ,torchmax_memory_cached() = 0 7 Preparing data from file = trg_data I am using cryoSPARC on a cluster. RuntimeError: CUDA out of memory. Tried to allocate 54000 GiB total capacity; 1. 61 GiB already allocated; 10761 GiB reserved in total by PyTorch) pbialecki June 22, 2021, 6:39pm 4. py I changed test_mode to Scale / Crop to confirm this actually fixes the issue -> the input picture was too large. iclr 2023 accepted papers 78 MiB already allocated; 322 MiB cached) it is trying to allocate 50 MB but i have 3. Tried to allocate 2091 GiB total capacity; 11. 23 GiB already allocated; 1825 GiB reserved in total by PyTorch) I had already find answer. | GPU Name TCC/WDDM | Bus-Id Disp ECC |. 10 CUDA out of memory error, cannot reduce batch size. 1 torchcuda is a hard coded string which emitted by the Pytorch build. backward you won't necessarily see the amount needed from a model summary or calculating the size of the model and/or batch. Tried to allocate 30400 GiB total capacity; 142. 3 runs smoothly on the GPU on my PC, yet it fails allocating memory for training only with PyTorch. If you are running a python code, try to run this code before yours. " The specific command for this may vary depending on GPU driver, but try something like sudo rmmod nvidia-uvm nvidia-drm nvidia-modeset nvidia. 22 GiB already allocated; 9430 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb. kiosk\Anaconda3\envs\pix2pix-pytorch\lib\site-packages\torch\nn\modules\conv. One thing that stands out is the many tiny spikes in memory, by mousing over them, we see that they are buffers used temporarily by convolution operators. RuntimeError: CUDA out of memory. py", line 301, in forward. 73 GiB already allocated; 19589 GiB reserved in total by. tali rule 34 device('cuda:4') I am still pretty green here so I am not really sure what the difference is, however, this is the first time I have run into a situation of running out of memory on one of these particular models. Why the CUDA memory is not release with torchempty_cache() 11. One important aspect of memory managemen. Tried to allocate 12876 GiB total capacity; 10. Tried to allocate 3335 GiB total capacity; 36. Perhaps the message in Windows is more understandable :) References: https://forumsai/t. I have the same issue related with CUDA out of memory that was already reported here. checks() if __name__ == "__main__". 61 GiB already allocated; 10761 GiB reserved in total by PyTorch) pbialecki June 22, 2021, 6:39pm 4. If you have 4 GB or more of VRAM, below are some fixes that you can try. 90 GiB already allocated; 80697 GiB reserved in total by PyTorch) How to solve it? Thank you!!! The text was updated successfully, but these errors were encountered: Answering exactly the question How to clear CUDA memory in PyTorch. I try to run it at a 6G GeForce GPU. 0. Tried to allocate 7000 GiB total capacity; 2. "RuntimeError: CUDA error: out of memory". RuntimeError: CUDA out of memory. empty_cache () to free up unused memory. See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF RuntimeError: CUDA out of memory. Random access memory is used to store temporary but necessary information on a computer for quick access by open programs or applications. You should split your test set into smaller "batches" and evaluate one batch at a time to combine all the batch scores at the end for one score for the model. 10 CUDA out of memory error, cannot reduce batch size. 17 PyTorch CUDA error: an illegal memory access was encountered.