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After installing tensorflow2.4rc4 version on windows10, cudnn initialization error appears when running the training code.
error info: Unimplemented: kernel reported driver version not implemented o…
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OS: Windows 10
Graphics card: RTX3070
CUDA: 11.1 (also tried 11.0, see below)
Python: 3.7
I'm running deeplabcutcore with tensorflow 2.0 due to the issue of series 3000 cards not working with Tens…
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def make_generator_model():
model = tf.keras.Sequential()
model.add(layers.Dense(7*7*256, use_bias=False, input_shape=(100,)))
model.add(layers.BatchNormalization())
model.add(laye…
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Hi,
I'm getting an out of memory error when I try to train the network, using either my data or the example data (run testscript.py). I'm wondering if there's something wrong with our installation. …
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{
"built": "2021-02-07T18:49:42+00:00",
"ref": "fbw",
"sha": "84192108aa63445a1930ae3fca5cd7d5392a6476",
"actor": "aguther",
"event_name": "manual"
}
**Describe the bug**
The…
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How fix it, i search the question a long time, please
my environment:
rtx3070 cuda11.1
tf-nightly-gpu==2.5.0.dev20201226
Python ==3.8.5
Traceback (most recent call last):
File "model_main…
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Hi, I have tried to compile torchvision for rtx3070 and cuda 11.0, but without any luck. The code I am using is:
```USE_CUDA=1 USE_CUDNN=1 USE_MKLDNN=1 TORCH_CUDA_ARCH_LIST="8.6" python setup.py inst…
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I'm trying to make a build targeting GTX2070, RTX3070 and RTX3080 for Windows. I have VS2019, CUDA 11.1 and CUDNN 11.2 installed. I'm following the Windows build instructions using vcpkg, and I have n…
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### Issue Summary
Hi,
We got the issue of "out of memory" error. We found that this is usually related to "cuDNN not being used". Could you please double-checked that VS project was built with "enab…
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hi, this time I set the PBRT_OPTIX7_PATH correctly in cmake, and when I build the solution, and run as follows:
pbrt --gpu D:\pbrt-v4\pbrt-v4-scenes-master\transparent-machines\frame1266.pbrt
th…