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Tests for DeepONet layer #36
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Just noticed that one commit includes the dependency issue discussed in #35. We should adapt that here as well. |
Codecov Report
@@ 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
📣 Codecov can now indicate which changes are the most critical in Pull Requests. Learn more |
Project.toml
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@@ -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
Added tests for forward pass, gradient and training