Merge pull request #131 from AtelierArith/terasaki/bump-to-1.3.0

Update GomalizingFlow version to 1.3.0
AtelierArith · Apr 28, 2024 · 8f3f269 · 8f3f269
2 parents a03e85d + 1d7abb9
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diff --git a/Project.toml b/Project.toml
@@ -1,7 +1,7 @@
 authors = ["Satoshi Terasaki <[email protected]>", "Akio Tomiya <[email protected]>"]
 name = "GomalizingFlow"
 uuid = "0f19fbf8-c737-4363-84ba-df62a70f9c3f"
-version = "1.2.0"
+version = "1.3.0"
 
 [deps]
 ArgParse = "c7e460c6-2fb9-53a9-8c5b-16f535851c63"

diff --git a/README.md b/README.md
@@ -358,4 +358,4 @@ Bibtex item can be obtained from [iNSPIRE-HEP](https://inspirehep.net/literature
 - [Combinational-convolution for flow-based sampling algorithm](https://ml4physicalsciences.github.io/2022/files/NeurIPS_ML4PS_2022_31.pdf) See:
   - Code is available: [GomalizingFlow.jl/playground/notebook/julia/4d_flow_4C3.md](https://github.com/AtelierArith/GomalizingFlow.jl/blob/combi-conv/playground/notebook/julia/4d_flow_4C3.md) in [combi-conv](https://github.com/AtelierArith/GomalizingFlow.jl/tree/combi-conv) tag.
 
-- As of April 2024, we have confirmed that GomalizingFlow.jl is compatible with Julia 1.10.2, Flux 0.14.15, and CUDA v5.3.3. Please note that the CUDA version used was "11.7.0" i.e. `CUDA_VERSION="11.7.0" make`.
+- As of April 2024, we have confirmed that "GomalizingFlow.jl v1.3.0" is compatible with Julia 1.10.2, Flux 0.14.15, and CUDA v5.3.3. Please note that the CUDA version used was "11.7.0" i.e. `CUDA_VERSION="11.7.0" make`.