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@Richardk80
I'm trying to get the updated requirements for latest version and get this error....
`pip install -r requirements.txt
Collecting certifi==2022.12.7
Using cached certifi-2022.12.…
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### 请提出你的问题 Please ask your question
报错如下
[2024-07-12 08:34:51,881] [ WARNING] install_check.py:289 - PaddlePaddle meets some problem with 8 GPUs. This may be caused by:
1. There is not enough GPU…
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Hi,
I tried the `--cluster-key` option with trtllm-build.
I did the conversion with A100-80gb-sxm, then tried to deploy it on L4 after converting using the L4 option and it failed when starting up t…
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### 请提出你的问题
报错如下
Error Message Summary:
----------------------
ResourceExhaustedError:
Out of memory error on GPU 0. Cannot allocate 428.000000MB memory on GPU 0, 79.153320GB memory has been a…
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Another issue, it seems we have A100 and A100-SXM separated for RunPod while combined for lambda labs. We probably need to separate them for all the clouds.
_Originally posted by @Michaelvll in htt…
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### Your current environment
```text
PyTorch version: 2.3.0+cu121
Is debug build: False
CUDA used to build PyTorch: 12.1
ROCM used to build PyTorch: N/A
OS: Debian GNU/Linux 11 (bullseye) (x86…
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### System Info
```
2023-06-15T04:27:53.010592Z INFO text_generation_launcher: Runtime environment: …
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* sxm-client version: last
* Python version: 3.8
* Operating System: Ubuntu 18.04
### Description
I can launch the script, Authentication are done and stream start but after short delay the se…
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I have a sxm file that we would like to read and translate into pycroscopy but this does not work.
```
>>> nt = NanonisTranslator(sxm_file)
>>> nt.translate()
-----------------------------------…
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We are testing with SEV-SNP+H100. The cc mode with a single GPU works fine by following the deployment guide. Now we want to test non-cc mode with a regular VM. First we `--set-cc-mode=off`.
```
…