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CUDA invalid device ordinal · Issue #4894 · BVLC/caffe · …

https://github.com/BVLC/caffe/issues/4894

caffe.set_mode_gpu() caffe.set_device(GPU_ID) When GPU_ID is zero there's no problem. But when it's set to 1 or 2 I get the invalid ordinal error. I should note that in nvidia-smi …


Caffe: Check failed: error == cudaSuccess (48 vs. 0) no …

https://stackoverflow.com/questions/51333280/caffe-check-failed-error-cudasuccess-48-vs-0-no-kernel-image-is-availabl

I was able to successfully compile Caffe on a Nvidia Jetson TX1 board with CUDA 9.0 and Open CV 3. However, when I run the following command to test Caffe: build/tools/caffe …


prblem Check failed: error == cudaSuccess (10 vs. 0) …

https://groups.google.com/g/caffe-users/c/C6lvfCNNluY

but ops!! the problem happened last night as the title said


Caffe Windows: pooling_layer.cu:212 Check failed: …

https://groups.google.com/g/caffe-users/c/inSy9Ukt_QE

I am getting this problem when I run Caffe prebuild binaries "Visual Studio 2015,CUDA 8.0, Python 2.7" from Windows branch. I have a Nvidia GTX 1060 GPU updated to …


cudaSuccess (30 vs. 0) unknown error · Issue #4543 · …

https://github.com/BVLC/caffe/issues/4543

device_query show GPU diagnostic information time benchmark model execution time. Flags from tools/caffe.cpp:-gpu (Optional; run in GPU mode on given device IDs …


gtx1070 caffe train digit error (error == cudaSuccess (8 …

https://groups.google.com/g/caffe-users/c/Tu4_fcM6krk

Have you make sure to modify your makefile.config and set your cuda_arch for GTX 1070?


Check failed: error == cudaSuccess (8 vs. 0) invalid …

https://github.com/rbgirshick/py-faster-rcnn/issues/2

And then make && cd ../caffe/ && make clean && make -j8 && make pycaffe -j8 👍 23 shaibagon, CanyonWind, kravchyuriy, Austriker, ilovin, agarwal-shubham, sh22tan, chenyang …


Check failed: error == cudaSuccess (29 vs. 0) driver …

https://github.com/alexgkendall/caffe-segnet/issues/57

Also, while testing, since we are using MATLAB to create a network by the command "caffe.Net(model_name, weights)", that means using MATLAB interface is …


caffe：Check failed: error == cudaSuccess (10 vs. 0) invalid …

https://www.cxymm.net/article/weixin_37251044/79141126

技术标签： caffe 在该行上面有一行，写着using GPUs 1.而我只有一个GPU，如图2，我把solver_48.prototxt中最后一行的device_id改为0，接着运行，见图1，这个错误就没有啦～


Check failed: error == cudaSuccess (30 vs. 0) unknown error …

https://github.com/NVIDIA/DIGITS/issues/1663

Hello, I have a problem with using GeForce GTX 1080Ti for machine learning (CAFFA framework) My platform: ubuntu 16.04, Cuda V8.0.61, CuDNN8.0 I suggest my version …


Check failed: e == cudaSuccess CUDA: invalid device ordinal

https://discuss.mxnet.apache.org/t/check-failed-e-cudasuccess-cuda-invalid-device-ordinal/817

It seems by changing. gpus = [int(x) for x in os.environ["CUDA_VISIBLE_DEVICES"].split(',')] ctx = [mx.gpu(i) for i in gpus] to. gpus = [int(x) for …


配置SSD-caffe测试时出现“Check failed: error == cudaSuccess (10 …

https://blog.csdn.net/xunan003/article/details/78433383

否则无法获取GPU设备，cudaGetDeviceCount函数会报错，错误码35 nvidia-prime切换显卡，如果只是按照提示logout，再重新login是不行的，必须重启系统，否则会报 …


Caffe | Deep Learning Framework

https://caffe.berkeleyvision.org/

Caffe. Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by Berkeley AI Research ( BAIR) and by community contributors. Yangqing Jia …


CUDA invalid device ordinal - NVIDIA Developer Forums

https://forums.developer.nvidia.com/t/cuda-invalid-device-ordinal/45720

I tried nvidia-debugdump -l to get. Found 2 NVIDIA devices Device ID: 0 Device name: NVS 315 (*PrimaryCard) GPU internal ID: GPU-fc8b8a6f-c28f-9860-1469-453ea6a4abb0 …


When/why are CUdevice's not the same as their ordinal?

https://forums.developer.nvidia.com/t/when-why-are-cudevices-not-the-same-as-their-ordinal/141769

Consider: CUresult cuDeviceGet ( CUdevice* device, int ordinal ) seeing how. typedef int CUdevice; Why isn’t the device’s int ordinal also its CUdevice?


Python Examples of caffe.set_device - ProgramCreek.com

https://www.programcreek.com/python/example/107867/caffe.set_device

The following are 30 code examples of caffe.set_device().You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the …


RuntimeError: CUDA error: invalid device ordinal - PyTorch Forums

https://discuss.pytorch.org/t/runtimeerror-cuda-error-invalid-device-ordinal/67488

You need to use torch.device ('cuda:0') or better yet torch.device ('cuda'), which uses the currently selected device instead of hard-coding it. Hi, what if there are 2 GPUs and I …


配置SSD-caffe测试时出现“Check failed: error == cudaSuccess (10 …

https://www.itdaan.com/blog/2018/01/30/72e7d007a8326706467ad9748bb46782.html

本文转载自 a8039974 查看原文 2018-01-30 865 解决/ 解决/ cuda/ cuda/ 测试/ 测试/ caffe caffe 这是由于GPU数量不匹配造成的，如果训练自己的数据，那么我们只需要 …


Caffe2 - C++ API: c10::cuda::CUDAGuard Struct Reference

https://caffe2.ai/doxygen-c/html/structc10_1_1cuda_1_1_c_u_d_a_guard.html

Sets the CUDA device to the given device index. Device original_device const Returns the device that was set upon construction of the guard. Device current_device const Returns the last …


add check and find GPU device utilities (b9ea0267) · Commits ...

https://git.codingcafe.org/xkszltl/Caffe/commit/b9ea0267851ccc7f782327408fe7953ba0f13c53

Caffe; Commits; b9ea0267; Commit b9ea0267 authored Jan 22, 2016 by Jun Shi. Browse files Options. Browse Files Download Email Patches; Plain Diff; add check and find GPU device …


How to solve CudaSuccess (30 vs. 0) error?

https://forums.developer.nvidia.com/t/how-to-solve-cudasuccess-30-vs-0-error/61064

Guess that you don’t use the correct GPU architecture to compile Caffe. For example, please add TX2 architecture(sm=62) into Makefile.config: ... the host memory to the …


Check failed: error == cudaSuccess (10 vs. 0) invalid device …

https://programmerclick.com/article/68192150995/

SpringPatrón de diseño (patrón decorador) Definición de modo: Definición del patrón de decorador: Agregue algunas responsabilidades adicionales a un objeto di...


Check failed: error == cudaSuccess (10 vs. 0) invalid device …

https://programmerclick.com/article/15342142609/

Vuelva al archivo SOLOCO, o el Python de Caffe ejecuta el archivo, configure el número de GPUS RUN y especifique la GPU. Esto se debe a la falta de coincidencia del número de GPU. Si …


Caffe runtest Error - NVIDIA Developer Forums

https://forums.developer.nvidia.com/t/caffe-runtest-error-check-failed-error-cudasuccess-8-vs-0-invalid-device-function/47624

Sorry for confusion, TX1 is correct. I will try and leave comment soon. I’ve corrected my question for further convenience, thanks! Thank you, dusty_nv!


Getting "invalid device ordinal" when running `make runtest`

https://groups.google.com/g/caffe-users/c/_sOK7e911lA

All groups and messages ... ...


配置SSD-caffe测试时出现“Check failed: error == cudaSuccess (10 …

https://www.codetd.com/article/577529

这是由于GPU数量不匹配造成的，如果训练自己的数据，那么我们只需要将solver.prototxt文件中的device_id项改为自己的GPU块数，一块就是0，两块就是1，以此类推。 但是SSD配置时的例子 …


Code Yarns – Caffe CUDA_cublas_device_LIBRARY error

https://codeyarns.com/tech/2019-03-20-caffe-cuda_cublas_device_library-error.html

I was trying to build BVLC Caffe from source as described here on Ubuntu 18.04 with CUDA 10.0. CMake ended with this error: ... CUDA_cublas_device_LIBRARY (ADVANCED) …


What does “export CUDA_VISIBLE_DEVICES=1” really do?

https://discuss.pytorch.org/t/what-does-export-cuda-visible-devices-1-really-do/90340

ebarsoum (Emad Barsoum) July 24, 2020, 1:29am #3. Setting CUDA_VISIBLE_DEVICES=1 mean your script will only see one GPU which is GPU1. However, …


caffe训练 Check failed: error == cudaSuccess错误汇总_mingo_敏 …

https://cxybb.com/article/shanglianlm/81939179

【解决方案】：检查你的caffe编译cuda库的版本与链接库的版本可能不一致。 很有可能是你用一个版本的编译，然后用另外一个版本连接。 在Makefile.config中的


NVIDIA CUDA Library: cudaError - Carnegie Mellon University

https://www.cs.cmu.edu/afs/cs/academic/class/15668-s11/www/cuda-doc/html/group__CUDART__TYPES_g3f51e3575c2178246db0a94a430e0038.html

Device emulation mode was removed with the CUDA 3.1 release. cudaErrorLaunchTimeout : This indicates that the device kernel took too long to execute. This can only occur if timeouts are …


Setting visible devices with Distributed Data Parallel

https://discuss.pytorch.org/t/setting-visible-devices-with-distributed-data-parallel/93230

A work around would be setting CUDA_VISIBLE_DEVICES in main.py before loading any cuda-related packages. Note that the recommended way to use DDP is one-process-per …


CUDA Runtime API :: CUDA Toolkit Documentation - NVIDIA …

https://docs.nvidia.com/cuda/cuda-runtime-api/index.html

Interactions with the CUDA Driver API. 6.34. Profiler Control [DEPRECATED] 6.35. Profiler Control. 6.36. Data types used by CUDA Runtime. 7. Data Structures.


Data Group Ordinals and Facility Ordinals - Weatherford International

https://softwaredocs.weatherford.com/cygnet/94/Content/Topics/EIEs%20-%20Remote%20Devices/Data%20Groups%20-%20Ordinals%20and%20Facility%20Ordinals.htm

In CygNet, a remote device includes two sets of ordinals: the data group ordinal and the facility ordinal. Each CygNet data group added to a remote device is identified by a number called an …


torch.cuda.set_device — PyTorch 1.13 documentation

https://pytorch.org/docs/stable/generated/torch.cuda.set_device.html

torch.cuda.set_device¶ torch.cuda. set_device (device) [source] ¶ Sets the current device. Usage of this function is discouraged in favor of device. In most cases it’s better to use …


Cannot get Cuda to work - Google Groups

https://groups.google.com/g/chainer/c/HOK08atudBA

Ok, I needed to specify gpu 0 instead of 1. cuda.to_gpu(data, 0) works as expected. Reply all Reply to author Reply to author Forward


cudaDeviceGetAttribute • man page - helpmanual

https://helpmanual.io/man3/cudaDeviceGetAttribute/

cudaError_t cudaDeviceSetSharedMemConfig (enum cudaSharedMemConfig config) Sets the shared memory configuration for the current device. __cudart_builtin__ cudaError_t …


cudaMalloc | RookieHPC

https://www.rookiehpc.com/cuda/docs/cudamalloc.php

cudaMalloc is a function that can be called from the host or the device to allocate memory on the device, much like malloc for the host. The memory allocated with cudaMalloc must be freed …


PyTorchでTensorとモデルのGPU / CPUを指定・切り替え

https://note.nkmk.me/python-pytorch-device-to-cuda-cpu/

to()はデータ型dtypeの変更にも用いられる。 関連記事: PyTorchのTensorのデータ型（dtype）と型変換（キャスト） dtypeとdeviceを同時に変更することも可能。to(device, …


How to use __device__ pointer on host side(e.g. cudaMalloc)?

https://forums.developer.nvidia.com/t/how-to-use-device-pointer-on-host-side-e-g-cudamalloc/7538

How to use device pointer on host side(e.g. cudaMalloc)? I first define a device pointer and then want to allocate memory for it. But it failed. It seems that I can not use the …


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