Jeremie Desgagne-Bouchard

@AbhimanyuAryan I have tested the above layout by copy-asting it into a new layout, but it resulted the following: ```julia julia> ┌ Error: 2023-01-19 18:58:27 UndefVarError: q__layout not defined │...

As I understand from https://github.com/GenieFramework/GenieFramework.jl/commit/9e149daab4681f4e3d6bb4d7da45deaf42067cf7, the import of `Stipple` and `StippleUI` should be replaced by `GenieFramework`. Doing so resolved the `q__layout not defined` error, but similar errors were however reported...

The RNN API has recently been reworked to facilitate the handling of diverse use cases, such as time-series or seq-to-one models, as well as making the symbolic graph compatible with...

It should still be there (https://github.com/apache/incubator-mxnet/blob/master/R-package/R/rnn.graph.R#L14). What version of the package are you rnn.graph function serves as graph builder helper. I'm not aware of a single fits all solution, but...

Hi, the documentation is admittedly very scarce on these tutorials. I've added some comments and tried to remove some ambiguities in the CPU tutorial: file:///C:/Data/GitHub/mxnet_R_bucketing/docs/TimeSeries_CPU.html The "samples" effectively refer to...

Correct, `seq_len` param should be set to sequence length, therefore to 20 in your case. In the tutorial, it was shown as 2 to make it possible to visualize the...

I'd definitely appreciate user inputs on EvoTrees :) AFAICT, it now fares quite well on CPU, but I'm pretty sure the GPU story could be improved. I haven't but any...

Really not sure if #2122 might be related (considering BatchNorm is also the operator causing the issue)

Also, deterioration appears more accute with greater number of threads: 16 Threads (on a 16 threads AMD ryzen): ``` 9.203387 seconds (23.63 M allocations: 5.051 GiB, 6.94% gc time, 77.60%...

Here's a MWE: ```julia using Images using StatsBase: sample, shuffle using DataAugmentation using Flux using TestImages import Base: length, getindex import Flux.MLUtils: getobs, getobs! const im_size = (224, 224) imgs...