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I've left you some suggestions on HiFiGAN issue tracker - I think they are not related only to VocGAN but with other repositories that rely on the same base-code structure you're using.
It might b…
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I run in multi (2~4) GPUs (Tesla V100), there are something error.
Found GPU0 V100-SXM2-16GB which requires CUDA_VERSION >= 9000 for optimal performance and fast startup time, but your PyTorch was…
bheAI updated
3 years ago
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Hi~ I'm very interested in your paper, and I want to run your code.
I found that in the `BaseTask.py` you set `batch_size=1`, it seems that it should be used for blockchain graph.
I think larger b…
yippp updated
5 years ago
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### What is the issue?
OS: Linux 6.5.0-44-generic #44~22.04.1-Ubuntu
GPU:
AMD Radeon RX 7900 XTX (24 GiB VRAM)
AMD Radeon RX 7900 XTX (24 GiB VRAM)
AMD Radeon RX 7900 XTX (24 GiB VR…
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I follow the guide to train my dataset with multiple GPUs, I saw speed of 2 cases is same. I use the same config
```
batch=64
subdivisions=32 # 16 OOM
width=512
height=512
```
I check GPU u…
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**Bug** 💥
I am Trying to train the model on doclaynet dataset using multiple gpu, but facing error as CUDA error: device-side assert triggered
CUDA kernel errors might be asynchronously reported at …
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Hi, Thank you for sharing your code. I would like to reproduce your results on CIFAR-10, I ran your original code with 4 GPUs and the results are attached below. My final ACC (NMI) after 990 epochs is…
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there is a node with 8 gpus，and I can't train my model on any 4 of the gpus, except gpu-id is 0,1,2,3.
how can I use any permutation and combination of the 8 gpus? Thanks
`-- Process 2 terminated…
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I am trying to train using a multi-GPU setup with DDP (launching with `accelerate launch`), but I am noticing that the loss values are significantly different from a single GPU setup with the same eff…