Comments (4)
I found I didn't install the cuDNN but the mini-caffe running very well with GPU and I also checked it with nvidia-smi. Very embarrassed !
How you achieve it ? did you just use the cublas for gemm when no cuDNN was found ?
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Please build with Release mode, the log message is only printed in Debug mode. More detail performance profile, please refer to this doc.
GPU performance should be the same in Debug and Release mode, maybe too much log message that slow down the program.
from mini-caffe.
But I didn't install cuDNN,does it affect the performance ?
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Using cuDNN should run faster.
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Related Issues (20)
- linux
- mini-caffe 可以设置多GPU吗?
- 最新的代码还是会在退出时报内存错误啊 HOT 2
- pthread_create HOT 1
- if using opencv, then how to modify "mini-caffe.cmake"
- Adding SYCL backend for Mini Caffe
- 最新版本在程序运行example中程序退出时候报错,旧版本不存在此问题 HOT 2
- Memory Leak when using Threads HOT 2
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- libopenblas.dll HOT 1
- cmake cannot find and configure cuda10 correctly
- Layer::Forward does not work when inference faster-rcnn HOT 6
- About LSTM layer.
- Windows编译出错!!
- Unsupported gpu architecture 'compute_92' HOT 4
- error: ‘exp’ was not declared in this scope HOT 4
- win10+cmake+cuda10.0+cudnn7.3.1, i have the problem that Running GPU detection script with nvcc failed: detect_cuda_archs.cu HOT 2
- scale.cpp
- SSD mobilenet 测试问题
- 编译win 32位,出现的问题 HOT 1
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