ipex-llm
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intel-analytics
Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, Baichuan, Mixtral, Gemma, Phi, etc.) on Intel CPU and GPU (e.g., local PC with iGPU, discrete GPU such as Arc, Flex and Ma...
## Problem For XShards of Pandas Dataframe, it is more common for several columns together serve as one model input. In current `feature_cols` context, each column serves as one model...
The exception is: ****************************Usage Error************************ model_input number does not match data number, got model_input ['dense_input'], data [TensorMeta(dtype: int64, name: list_input_0, shape: ()), TensorMeta(dtype: int64, name: list_input_1, shape: ()), TensorMeta(dtype: int64,...
- [ ] source code scan with snyk - [x] java/scala scan - [ ] python scan - [ ] license issue fix - [ ] binary scan with bdba...
From studying vz-recommenders code: 1. Currently we only support features to be ndarrays, a single feature of shape (batch, ) and several features together of shape (batch, n). But if...
* env: - python:3.7 - java:1.8 - spark:3.1.2 * The doc and code comes from [https://github.com/intel-analytics/BigDL/tree/main/python/dllib/examples/nnframes/xgboost](https://github.com/intel-analytics/BigDL/tree/main/python/dllib/examples/nnframes/xgboost) [https://github.com/intel-analytics/BigDL/blob/main/python/dllib/examples/nnframes/xgboost/xgboost_example.py](https://github.com/intel-analytics/BigDL/blob/main/python/dllib/examples/nnframes/xgboost/xgboost_example.py) * My spark-submit command: ``` /home/intel/spark-3.1.2-bin-hadoop2.7/bin/spark-submit \ --master "local[4]" \ --driver-memory 2g \...
More than 2 users have complained that they don't understand how to set the `freq` in AutoFormerForecaster. This parameter might need to be automatically set according to users' input data
**[General]** - [ ] init_orca_context default cores=2, and users may not be aware of this setting and may just call it with default parameters. And in this case if user...
- [ ] Check data loader return and model/loss forward return and raise error message if it isn't expected. - [ ] Provide an example for overriding TrainingOperator
My code contain several `.py` files: - brainMRI.py - dataset.py - Unet.py And I want to use the `bigdl` backend to train the model. ```python if args.cluster_mode == "local": init_orca_context(memory=args.memory)...
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Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, Baichuan, Mixtral, Gemma, Phi, etc.) on Intel CPU and GPU (e.g., local PC with iGPU, discrete GPU such as Arc, Flex and Ma...