User Group for BigDL

def createESMMModel(inputDim: Int, sharedLayerDims: Array[Int], ctrDims: Array[Int], cvrDims: Array[

Hi Angang, really sorry, but we don't have any recent plans to release a new BigDL version for

For 1: Yes, it's necessary for MKL. We are calling MKL through JNI, the source code is here https

Hi, you can follow this guide https://bigdl.readthedocs.io/en/latest/doc/UserGuide/databricks.html 在

Hi Phuong, Sorry that we don't have plan to support this at this moment. We will notify you when

Hi Truong, Sorry for the late reply. Actually the step here: https://bigdl.readthedocs.io/en/latest/

Hi Snow, You can also use Docker container to run BigDL-LLM on Mac, please refer to https://github.

Follow-up of this issue is here: https://github.com/intel-analytics/BigDL/issues/9051 On Monday,

I have reproduced your error, the spark version 3.2.1 is not compatiable. You can downgrade spark to

Hi, I would like to share the latest bigdl-llm, a library for running LLM (language language model)

Thank Yang Vào lúc 10:33:27 UTC+7 ngày Thứ Năm, 4 tháng 5, 2023, Yang Wang đã viết: Hi Kazeb, We used

Dear Timothy, You need to add a repo for your sbt-assembly plugin. Something like this: addSbtPlugin(

Hi Everyone, I'm happy to announce the BigDL 2.3.0 release; please see the release notes for more

Does your Keras Estimator mean NNEstimator ? https://bigdl.readthedocs.io/en/latest/doc/DLlib/

Thanks Kai for your reply. I did exactly what you suggested. I wrote a Spark transformer to pad/

Thank you for answering my question, Actually I mean that my hardware is not enough for the tests

Hi Mehablia, The following are possible solutions that you can try to solve the Ray Out Of Memory (

Hi, Faisal You can find some related usage in our unit tests, see https://github.com/intel-analytics/

Hi, Hamza I find you are using the jep backend, it's hard to use, and deprecated. We recommend

Thank you Mr. Xin, thank you Mr. Jason We were able to create a cluster and run BigDL on it, we have

Please see the new BigDL-Nano example for running Stable Diffusion (https://github.com/intel-

Hi Phuong, Yes, you can use nodes(someNames) or node(someName) to do that. Our team would discuss

the output of the model and the loss function should align. can you please show the code of how to

Yes - the preferred approach for DLlib is to use Keras-like API to build the model, and use NNFrame (

Dear Jennie, Thanks for your reply. Yes, I had to cast the layer to KerasLayer[Activity, Tensor[Float

Hi Elhm, Good day! This SONG Ge, a software engineer from BigDL team. Based on our communication

Please share more information about how you saved the model On Wednesday, November 9, 2022 at 1:49:45

It is correct to start nncontext this way. from bigdl.dllib.nncontext import init_nncontext sc =

Hi Clare, We have added the bigdl.dllib.keras.models.Model.summary() support in the latest release.

Hi Everyone, I'm happy to announce the BigDL 2.1.0 release; please see the release notes for more