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Tests for DeepONet layer #36

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@ba2tripleO ba2tripleO commented Feb 21, 2022

Added tests for forward pass, gradient and training

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Just noticed that one commit includes the dependency issue discussed in #35. We should adapt that here as well.

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codecov bot commented Mar 15, 2022

Codecov Report

Merging #36 (2bf6aaa) into master (7e9f9c2) will increase coverage by 4.10%.
The diff coverage is n/a.

❗ Current head 2bf6aaa differs from pull request most recent head ea38a5f. Consider uploading reports for the commit ea38a5f to get more accurate results

@@            Coverage Diff             @@
##           master      #36      +/-   ##
==========================================
+ Coverage   41.09%   45.20%   +4.10%     
==========================================
  Files           6        6              
  Lines          73       73              
==========================================
+ Hits           30       33       +3     
+ Misses         43       40       -3     
Impacted Files Coverage Δ
src/DeepONet.jl 60.00% <0.00%> (+20.00%) ⬆️

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Project.toml Outdated
@@ -7,6 +7,7 @@ version = "0.2.1"
CUDA = "052768ef-5323-5732-b1bb-66c8b64840ba"
FFTW = "7a1cc6ca-52ef-59f5-83cd-3a7055c09341"
Flux = "587475ba-b771-5e3f-ad9e-33799f191a9c"
MAT = "23992714-dd62-5051-b70f-ba57cb901cac"
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Should go under [extras], not here as we use it only for testing

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