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Support Conv1D and MaxPooling1D #22

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fthielke opened this issue May 21, 2024 · 0 comments
Open

Support Conv1D and MaxPooling1D #22

fthielke opened this issue May 21, 2024 · 0 comments

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@fthielke
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Models for sequence data need 1D variants of the convolutional and pooling layers.

AC: WhistleNetMk16 can be run in CompiledNN
ahasselbring added a commit that referenced this issue May 21, 2024
@ahasselbring
Towards Conv1D and Pooling1D (#22)
5085cb1 
They can at least be read and handled by SimpleNN (by much code
duplication). However, there are no kernels, and there is no fusion of
layers (e.g. Conv1D + BatchNorm + Activation) yet. The SimpleNN
implementation is not tested.
fthielke added a commit that referenced this issue May 23, 2024
@fthielke
#22 add SimpleNN implementation for ZeroPadding1D
9671576 
This layer is not used directly by targeted models, but since the CompiledNN implementation of Conv1D will require zero padding anyways we might as well support it all the way.
fthielke added a commit that referenced this issue May 23, 2024
@fthielke
#22 add skeletons for Conv1D, Pooling1D and ZeroPadding1D implementat…
79a51e6 
…ions
fthielke added a commit that referenced this issue May 24, 2024
@fthielke
#22 implement ZeroPadding1D
dffa5cc
fthielke added a commit that referenced this issue May 24, 2024
@fthielke
#22 implement Pooling1D
85bd44b
Laurendus added a commit that referenced this issue Jun 12, 2024
@Laurendus
remove warning (#22)
1082509
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@fthielke