Hyeon-Seo Yun

I am having the same problem here. When would this be fixed? It seems like a simple mistake that could be fixed easily if you are familiar with the pipeline.

@jmduarte that would be great! However, I have since moved to supporting Pytorch Geometric models like pyg_to_hls. I have already talked with Mr Abd Elabd, but if you know anyone...

Here's a quick code that I wrote up to test this: ``` import dask_awkward as dak import awkward as ak from coffea.nanoevents import NanoEventsFactory, NanoAODSchema from dask_awkward.lib.core import map_partitions import...

I have taken your suggestion and made a new code: ``` class MyScaleVariation: def __init__(self, x_knots, y_knots): self.x_knots = x_knots self.y_knots = y_knots def __call__(self, vals): result = ak.Array(np.interp( vals,...

Your last suggestion essentially solved my issue. My code below functions as intended: ``` import dask_awkward as dak import awkward as ak from coffea.nanoevents import NanoEventsFactory, NanoAODSchema from dask_awkward.lib.core import...

Issue solved: There was two small changes I made which made it work. First, the default parameter `runtime_shape=(1, -1, 1)` for `class BatchNorm1dToQuantScaleBias` should actually be `runtime_shape=(1, -1)` . At...

> https://github.com/dask-contrib/dask-awkward/blob/main/src/dask_awkward/lib/reducers.py#L329 So this only supports axis that is not None or zero. What I am looking for (at least for now) is a mean functionality that that reduces over...

Just confirmed with a small test code that `dak.count()` and `dak.sum() `supports axis=None and axis=0, so this issue is solved. I will reopen this issue if further testing leads to...