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I am interested in utilizing your work for a project. So, the actual use include training to a custom dataset and using the model to infer masks afterwards. I couldn't find any direct information rega…
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### 请提出你的问题
环境：win11/1080ti
paddle版本：3.0-beta
paddlenlp版本: 3.0.0-beta0
cuda 版本11.8 cudnn：cudnn-windows-x86_64-8.9.7.29_cuda11-archive
根据官网示例：
`from pprint import pprint
import paddlenlp
fr…
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The issues is in `.ensemble_inference()` function when the computing `BayesTools::marginal_inference()`
- information about the factor levels from models with only null prior is missing
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def generate_llm_response(messages, processed_results) -> str:
SYSTEM_PROMPT = """You're an AI assistant that writes technical documentation. You can search a vector store for
information rel…
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The goal of this refactor is to remove all static shape inference within the `onnx-ir` module and focus solely on rank inference. This shift aims to:
1. **Simplify the Shape Inference Process**:
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At the moment we are gathering important information about inference/score runs based on specific locations in a directory structure, and parsing the dir name,
e.g.
https://github.com/CDCgov/py…
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### System Info / 系統信息
torch 2.5.1+cu121
diffusers 0.31.0
torchao 0.7.0+cpu
Python 3.11.10
Windows 11
### Information / 问题信息
- [X] The official example scr…
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### Requested feature
First of all, congrats on the amazing work !
I have two improvement ideas that might help simplify using this library in a wider range production workloads:
* Supp…
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### 1. System information
Windows 11
### 2. Code
import tensorflow as tf
saved_model_dir = "C:/Users/s/Downloads/best (1)_saved_model"
converter = tf.lite.TFLiteConverter.from_saved_mod…