Both waifu2x-caffe 1.2.0.4 and 1.2.0.3 give me the same error:
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Result
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Input can not be converted by GPU
The CUDA driver may not have been installed.
Please install the CUDA driver
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OK
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I've tried to uninstall the driver completely (using DDU in safe mode) and install the driver comes with CUDA Toolkit 10.1 update 2, which is 426.00. deviceQuery.exe comes with CUDA Toolkit prints the following information:
deviceQuery.exe Starting...
CUDA Device Query (Runtime API) version (CUDART static linking)
Detected 1 CUDA Capable device(s)
Device 0: "GeForce GTX 1060 6GB"
CUDA Driver Version / Runtime Version 10.1 / 10.1
CUDA Capability Major/Minor version number: 6.1
Total amount of global memory: 6144 MBytes (6442450944 bytes)
(10) Multiprocessors, (128) CUDA Cores/MP: 1280 CUDA Cores
GPU Max Clock rate: 1734 MHz (1.73 GHz)
Memory Clock rate: 4004 Mhz
Memory Bus Width: 192-bit
L2 Cache Size: 1572864 bytes
Maximum Texture Dimension Size (x,y,z) 1D=(131072), 2D=(131072, 65536), 3D=(16384, 16384, 16384)
Maximum Layered 1D Texture Size, (num) layers 1D=(32768), 2048 layers
Maximum Layered 2D Texture Size, (num) layers 2D=(32768, 32768), 2048 layers
Total amount of constant memory: zu bytes
Total amount of shared memory per block: zu bytes
Total number of registers available per block: 65536
Warp size: 32
Maximum number of threads per multiprocessor: 2048
Maximum number of threads per block: 1024
Max dimension size of a thread block (x,y,z): (1024, 1024, 64)
Max dimension size of a grid size (x,y,z): (2147483647, 65535, 65535)
Maximum memory pitch: zu bytes
Texture alignment: zu bytes
Concurrent copy and kernel execution: Yes with 2 copy engine(s)
Run time limit on kernels: Yes
Integrated GPU sharing Host Memory: No
Support host page-locked memory mapping: Yes
Alignment requirement for Surfaces: Yes
Device has ECC support: Disabled
CUDA Device Driver Mode (TCC or WDDM): WDDM (Windows Display Driver Model)
Device supports Unified Addressing (UVA): Yes
Device supports Compute Preemption: No
Supports Cooperative Kernel Launch: No
Supports MultiDevice Co-op Kernel Launch: No
Device PCI Domain ID / Bus ID / location ID: 0 / 1 / 0
Compute Mode:
< Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >
deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 10.1, CUDA Runtime Version = 10.1, NumDevs = 1, Device0 = GeForce GTX 1060 6GB
Result = PASS
And bandwidthTest.exe from the same package runs without problem as well:
[CUDA Bandwidth Test] - Starting...
Running on...
Device 0: GeForce GTX 1060 6GB
Quick Mode
Host to Device Bandwidth, 1 Device(s)
PINNED Memory Transfers
Transfer Size (Bytes) Bandwidth(MB/s)
33554432 6555.8
Device to Host Bandwidth, 1 Device(s)
PINNED Memory Transfers
Transfer Size (Bytes) Bandwidth(MB/s)
33554432 6541.9
Device to Device Bandwidth, 1 Device(s)
PINNED Memory Transfers
Transfer Size (Bytes) Bandwidth(MB/s)
33554432 145785.9
Result = PASS
NOTE: The CUDA Samples are not meant for performance measurements. Results may vary when GPU Boost is enabled.
I've also tried to get cuDNN for CUDA 10.1 and put it in the desired path, and have checked that system variable has CUDA_PATH set correctly.
Ok... I was too lazy before bed. After waking up today I downloaded version 1.2.0.2, and it worked. (It doesn't have cudnn64_7.dll included so I just copied cudnn64_8.dll from my Cuda Toolkit installation and renamed it, it worked just fine.)
So whatever breaks it, is with version 1.2.0.3. My best guess would be it's caused by the upgrading of CUDA Toolkit to 10.2.
What's the reason behind this upgrade? If it's not necessary I suggest stay on an older version as long as possible since newer version of CUDA Toolkit requires a newer version of Display Driver. Upgrading CUDA Toolkit to 10.2 would require driver version >= 440.33.
There're many reasons someone would like to stay on an older dirver, in my case it's for 3D Vision which nvidia removed after Release 418 branch, which limits my CUDA Toolkit version up to 10.1 Update 2. If it's not possible to stay on the old Toolkit, could you at least stay on 10.1 Update 2 instead of 10.2? Thanks.
Both waifu2x-caffe 1.2.0.4 and 1.2.0.3 give me the same error:
I've tried to uninstall the driver completely (using DDU in safe mode) and install the driver comes with CUDA Toolkit 10.1 update 2, which is 426.00.
deviceQuery.execomes with CUDA Toolkit prints the following information:And
bandwidthTest.exefrom the same package runs without problem as well:I've also tried to get cuDNN for CUDA 10.1 and put it in the desired path, and have checked that system variable has CUDA_PATH set correctly.
Ok... I was too lazy before bed. After waking up today I downloaded version 1.2.0.2, and it worked. (It doesn't have cudnn64_7.dll included so I just copied cudnn64_8.dll from my Cuda Toolkit installation and renamed it, it worked just fine.)
So whatever breaks it, is with version 1.2.0.3. My best guess would be it's caused by the upgrading of CUDA Toolkit to 10.2.
What's the reason behind this upgrade? If it's not necessary I suggest stay on an older version as long as possible since newer version of CUDA Toolkit requires a newer version of Display Driver. Upgrading CUDA Toolkit to 10.2 would require driver version >= 440.33.
There're many reasons someone would like to stay on an older dirver, in my case it's for 3D Vision which nvidia removed after Release 418 branch, which limits my CUDA Toolkit version up to 10.1 Update 2. If it's not possible to stay on the old Toolkit, could you at least stay on 10.1 Update 2 instead of 10.2? Thanks.