Update release notes and fixing a unit test to align with recommendations in the notes.

Author: NiklasGustafsson

RELEASENOTES.md

@@ -6,8 +6,12 @@ Releases, starting with 9/2/2021, are listed with the most recent release at the
 
 __Breaking Changes__:
 
+When creating a tensor from a 1-D array, and passing in a shape, there is now an ambiguity between the IList and Memory overloads of `torch.tensor()`. The ambiguity is resolved by removing the `dimensions` argument if it is redundant, or by an explicit cast to IList if it is not.
+
 __API Changes__:
 
+ #1326 Allow arrays used to create tensors to be larger than the tensor. Create tensors from a Memory instance<br/>
+
 __Bug Fixes__:
 
 

test/TorchSharpTest/TestDataLoader.cs

@@ -96,9 +96,9 @@ public void DataLoaderTest1()
             using var dataloader = torch.utils.data.DataLoader(dataset, 2, false, torch.CPU);
             var iterator = dataloader.GetEnumerator();
             Assert.True(iterator.MoveNext());
-            Assert.Equal(iterator.Current["data"], torch.tensor(rawArray: (IList<long>)new[]{1L, 1L}, dimensions: new[]{2L}, dtype: torch.ScalarType.Int32));
-            Assert.Equal(iterator.Current["label"], torch.tensor(rawArray: (IList<long>)new[]{13L, 13L}, dimensions: new[]{2L}, dtype: torch.ScalarType.Int32));
-            Assert.Equal(iterator.Current["index"].ToString(TensorStringStyle.Julia), torch.tensor(rawArray: (IList<long>)new[]{0L, 1L}, dimensions: new[]{2L}, dtype: torch.ScalarType.Int64).ToString(TensorStringStyle.Julia));
+            Assert.Equal(iterator.Current["data"], torch.tensor(rawArray: new[]{1L, 1L}, dtype: torch.ScalarType.Int32));
+            Assert.Equal(iterator.Current["label"], torch.tensor(rawArray: new[]{13L, 13L}, dtype: torch.ScalarType.Int32));
+            Assert.Equal(iterator.Current["index"].ToString(TensorStringStyle.Julia), torch.tensor(rawArray: new[]{0L, 1L}, dtype: torch.ScalarType.Int64).ToString(TensorStringStyle.Julia));
             iterator.Dispose();
         }