Jason Dai comments

Results 106 comments of


                                            Jason Dai

Use spark backend got error:NotImplementedError: Saving the model to HDF5 format requires the model to be a Functional model or a Sequential model. It does not work for subclassed models, because such models are defined via the body of a Python method, which isn't safely serializable. Consider saving to the Tensorflow SavedModel format (by setting save_format="tf") or using `save_weights`.

> > > > > > > > > the DeepCross model is a user defined subclassed model, in tf2, it cannot save as h5 file. > > > >...

Unable to extract native library into a temporary file for non-pip install

> But eventually we need to resolve this issue. For developers, we need to run Orca in non-pip mode; otherwise it is not convenient. What's the root cause?

[Orca] Code Design for Distributed PyTorch DataLoader on Ray

Does `assign_batch_worker` read all the data from the original PyToch DataLoader and then return a list of all these data? @hkvision

Better user experience for XShards of Pandas Dataframe input for Orca Estimators

See https://github.com/intel-analytics/BigDL/issues/4965#issuecomment-1184515330

[Nano] OpenVINO model enahancement

Why do we need to support these two APIs? Do you have some 3rd-party examples of how these two APIs can be used?

[Nano] OpenVINO model enahancement

How will these APIs be used? Provide some external examples.

Exception happened if using orca estimator train pytorch model with xshards

The `bigdl` backend does not support `xshards`? @qiuxin2012

Exception happened if using orca estimator train pytorch model with xshards

@yushan111 please take a look

Exception happened if using orca estimator train pytorch model with xshards

How do we know if the mode expects just one input or multiple inputs? I think specifying multiple columns in `features_cols` is for the latter.

Exception happened if using orca estimator train pytorch model with xshards

> @jason-dai @dding3 Maybe a more common case is stacking multiple columns into a single tensor, passing to a single input model. In this case, according to current API, users...