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**Is your feature request related to a problem? Please describe.**
Triton has a fallback mechanism for writing intermediates to pinned CPU memory when the CUDA memory pool is full.
https://github.c…
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### Describe the issue
Observing that repository checkout can consume a lot of time.
Due to model files examples stored in the repository.
Those files can be outdated to the project branch, but d…
mc-nv updated
4 months ago
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**Is your feature request related to a problem? Please describe.**
The problem arises when handling a model's health issues (e.g. lack of CPU RAM). Currently, the error codes available (such as `pb_u…
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Hello, I have a bunch of las files with version 3.0 that I am trying to read using lasio library (version 0.29).
`lasfile = lasio.read(rootdir + "file.las")`
They were all converted from DLIS f…
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**Is your feature request related to a problem? Please describe.**
A clear and concise description of what the problem is. Ex. I'm always frustrated when [...]
Feature request: BF16 support for inte…
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**Is your feature request related to a problem? Please describe.**
When writing the `model.py` file for a Python backend model, it is very difficult to correctly use `triton_python_backend_utils` (ak…
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**Is your feature request related to a problem? Please describe.**
It would be handy to be able to install optimize builds of the inference server via conda (via either the nvidia or conda-forge chan…
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I used tritonserver22.12-py3, deploy it with POLL Model Control Mode.
For some reason, I update the code of Python Backend Model.
It happend to an error: Failed to initialize Python stub for au…
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Let say DLISIO throws an error on opening some file.
If user wants to dig deeper into binary and figure out where is the problem, user might appreciate more information than is currently provided.
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We add a attention layer in the end of model. It is okay when fine-tuning, but when I load saved model.ckpt again, it always fails as flows:
> INFO:tensorflow:Error recorded from prediction_loop: A…