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I am having issues with training on Windows 10 with multiple GPUs.
If I run train.py with 2 GPUs then I get the following error:
RuntimeError: CUDA out of memory. Tried to allocate 9.00 GiB (GPU 0…
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Currently when gpu is not specified, armory defaults to running the attack on GPU0 and loading some other data onto all other GPUs. It would be useful to be able to launch armory without having to che…
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I have installed katuali as per [instructions](https://nanoporetech.github.io/katuali/installation.html) and I now trying to get the pipeline running.
I have installed the required dependencies (ex…
BCArg updated
3 years ago
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### What happened + What you expected to happen
Given this code:
```
from ray import serve
@serve.deployment(num_replicas=2, ray_actor_options={"num_cpus": 0.2, "num_gpus": 0})
class SayHi…
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pls add option to disable card type and temperature.
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### What happened + What you expected to happen
When using the ray python package via Nix (using dream2nix), where the package is located on an immutable file system (`/nix/store`), the dashboard cra…
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ssh -i "C:…
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["4 GB of GDDR5 memory"](http://www.notebookcheck.net/NVIDIA-GeForce-GTX-850M.107795.0.html) should mean I can support the 3 GB of GPU needed, right? If not, is there a way to decrease the GPU needed?…
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Hi, I recently want to reproduce your result and can get the metric your described in paper but I got a problems that the training (almost 3 days) than you described in paper (less than 12 hours).
…
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# Problem
I am using ami-00f92e9d2b63bc61a2 which is supposed to be the ami for `Linux - Python 3.7 - Ray 1.2.0`.
I am using below yaml file, where my docker image `048211272910.dkr.ecr.us-west…