Merge branch 'main' into 1279

Author: NiklasGustafsson

RELEASENOTES.md

@@ -6,7 +6,11 @@ Releases, starting with 9/2/2021, are listed with the most recent release at the
 
 __Breaking Changes__:
 
-Correct `torch.finfo`. (`torch.set_default_dtype`, `Categorical.entropy`, `_CorrCholesky.check`, `Distribution.ClampProbs`, `FisherSnedecor.rsample`, `Gamma.rsample`, `Geometric.rsample`, `distributions.Gumbel`, `Laplace.rsample`, `SigmoidTransform._call` and `SigmoidTransform._inverse` are influenced.)
+Correct `torch.finfo`. (`torch.set_default_dtype`, `Categorical.entropy`, `_CorrCholesky.check`, `Distribution.ClampProbs`, `FisherSnedecor.rsample`, `Gamma.rsample`, `Geometric.rsample`, `distributions.Gumbel`, `Laplace.rsample`, `SigmoidTransform._call` and `SigmoidTransform._inverse` are influenced.)<br/>
+
+__API Changes__:
+
+#1284 make `torch.unique` and `torch.unique_consecutive` public.<br/>
 
 # NuGet Version 0.102.3
 

src/TorchSharp/Tensor/torch.ReductionOps.cs

@@ -410,12 +410,18 @@ [Pure]public static (Tensor std, Tensor mean) std_mean(Tensor input, (long, long
         [Pure]public static Tensor sum(Tensor input, long dim, bool keepdim = false, ScalarType? type = null) => input.sum(dim, keepdim, type);
 
         // https://pytorch.org/docs/stable/generated/torch.unique
-        [Pure]static (Tensor output, Tensor? inverse_indices, Tensor? counts) unique(
+        /// <summary>
+        /// Returns the unique elements of the input tensor.
+        /// </summary>
+        [Pure]public static (Tensor output, Tensor? inverse_indices, Tensor? counts) unique(
             Tensor input, bool sorted = true, bool return_inverse = false, bool return_counts = false, int? dim = null)
             => input.unique(sorted, return_inverse, return_counts, dim);
 
         // https://pytorch.org/docs/stable/generated/torch.unique_consecutive
-        [Pure]static (Tensor output, Tensor? inverse_indices, Tensor? counts) unique_consecutive(
+        /// <summary>
+        /// Eliminates all but the first element from every consecutive group of equivalent elements.
+        /// </summary>
+        [Pure]public static (Tensor output, Tensor? inverse_indices, Tensor? counts) unique_consecutive(
             Tensor input, bool return_inverse = false, bool return_counts = false, int? dim = null)
             => input.unique_consecutive(return_inverse, return_counts, dim);
 

test/TorchSharpTest/TorchSharpTest.csproj

@@ -12,7 +12,7 @@
     <UseStyleCopAnalyzer>false</UseStyleCopAnalyzer>
     <VSTestLogger>trx</VSTestLogger>
     <VSTestResultsDirectory>$(OutputPath)</VSTestResultsDirectory>
-    <LangVersion>latest</LangVersion>
+    <LangVersion>10.0</LangVersion>
   </PropertyGroup>
 
   <ItemGroup>