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I run your training code in Ubuntu via CPU, but I encounter a problem, the CPU usage is 0 by the procedure, how to solve the problem?
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Hi guys,
I'm running this example: https://github.com/keras-team/keras-io/blob/master/guides/transfer_learning.py
On a 2018 Mac Mini / 3.2 Ghz 6 Core I7 32GB/w an eGPU (Radeon RX5500 XT 8GB)
**…
celer updated
3 years ago
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### 🐛 Describe the bug
Since PT 2, we have noticed significant amount of PCIe traffic between host and device, which is something we didn't expect to happen and not observed in PT 1.x version. This…
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When I'm reading the pretraining code, the comment says `drop_remainder` should be `true` when it is training and should be false when evaluating, but the code confuses me a lot. I am not sure whethe…
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Reporter: wunderkynd
When V-Sync gets disabled the CPU Performance goes up immensely.
Tried in the trainings room:
V-Sync=True: 50% CPU usage
V-Sync=False: 75%+ CPU usage…
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When I try to train any network larger than the default size on GPU, I pretty quickly run into the error:
cuda runtime error (77) : an illegal memory access was encountered at /tmp/luarocks_cutorch-sc…
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Hi, I'm training tiny-yolov2 on one TITAN Xp with `--gpu 0.9` and `--batch 64`, and found the training speed is very slow, say 8500 steps / 15 hrs. CPU utility keeps ~400%, but GPU utility is mostly 0…
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#114
hello sir when i'm trying to use the model fasterrcnn_efficientnet_b4 instead of the default one i'm getting an error at the begining i found that it is not mentioned on the create_fasterrcnn_m…
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### System Info
- `transformers` version: 4.41.2
- Platform: Linux-5.15.0-1044-nvidia-x86_64-with-glibc2.35
- Python version: 3.10.0
- Huggingface_hub version: 0.23.0
- Safetensors version: 0.4.2…
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So far we have performed significant but still limited RL training to the environments, mostly on local machines. We now have training working in the cloud, so can train longer.
- [x] Check if the …