Comments (6)
GoogleCodeExporter
commented on June 12, 2024
I'm also using GTX980. It compiled ok using only the line
GENCODE_SM50 := -gencode arch=compute_50, code=sm_50.
Comment all others.
However I getting a error training for CIFAR example. If you succeed training,
tell me.
The people in Imagenet ask 5 days to approve to download Imagenet examples.
It's terrible. Alex you should use other example for Convnet2.
Original comment by [email protected] on 21 Apr 2015 at 6:41
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GoogleCodeExporter
commented on June 12, 2024
I'm compiling just fine, but het this eror training on ImageNet data.
Original comment by [email protected] on 21 Apr 2015 at 7:31
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GoogleCodeExporter
commented on June 12, 2024
Yes, but this error results of compilation with wrong architecture. Did you try
compute_50?
Original comment by [email protected] on 22 Apr 2015 at 12:02
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GoogleCodeExporter
commented on June 12, 2024
Yes i did, and same thing hapens everey time.....
Original comment by [email protected] on 22 Apr 2015 at 12:26
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grandbander
commented on June 12, 2024
I fixed it with this.
GENCODE_SM52 := -gencode arch=compute_52,code=sm_52
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li7hui
commented on June 12, 2024
I have the GTX960, I met the same error, and didn't fix it.
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Related Issues (20)
- GTX7XX support
- Element wise sum not working as expected HOT 1
- Remove NPY deprecated warnings
- Error: cannot allocate memory for thread-local data: ABORT
- conv1 weights and biases become nan
- Compatible with CUDA 7.0? HOT 1
- python: src/../include/data.cuh:34: void CPUData::assertDimensions(): Assertion `_data->at(i-1)->isTrans() == _data->at(i)->isTrans()' failed. HOT 2
- IndexErrors get thrown when running examples
- Is cuda-convnet2 a "back-end" or a self-contained deep learning library? HOT 1
- Images missing in Wiki
- Cannot access links from cuda-convnet2/LayerParams.md
- The imagenet example is getting an error of Empty input file even if the all batch files were previously generated HOT 1
- Cuda-convnet--ImportError: /usr/local/cuda/lib64/libcublas.so.4: undefined symbol: cudaMemsetAsync
- (nvmatrix.cu) Kernel execution failed error with cuda5.5 HOT 3
- cost.sum2 crash HOT 1
- saving multiview predictions (--test-out) does not work HOT 1
- Loading all data in shownet
- Multiple data layer with binomialcrossEntropyCostLayer HOT 1
- Does not work on 8 GPUs
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