Merge branch 'main' into kmp5/debug/issue_1430

NDTensors/Project.toml

@@ -1,7 +1,7 @@
 name = "NDTensors"
 uuid = "23ae76d9-e61a-49c4-8f12-3f1a16adf9cf"
 authors = ["Matthew Fishman <[email protected]>"]
-version = "0.3.6"
+version = "0.3.7"
 
 [deps]
 Accessors = "7d9f7c33-5ae7-4f3b-8dc6-eff91059b697"

NDTensors/src/tensor/tensor.jl

@@ -69,6 +69,10 @@ function Tensor(as::AliasStyle, storage::TensorStorage, inds::Tuple)
   )
 end
 
+function Tensor(as::NeverAlias, storage::TensorStorage, inds::Tuple)
+  return Tensor(AllowAlias(), copy(storage), inds)
+end
+
 # Automatically convert to Tuple if the indices are not a Tuple
 # already (like a Vector). In the future this may be lifted
 # to allow for very large tensor orders in which case Tuple

NDTensors/test/test_dense.jl

@@ -38,6 +38,11 @@ NDTensors.dim(i::MyInd) = i.dim
 
       Aview = A[2:3, 2:3]
       @test dims(Aview) == (2, 2)
+      ## Added for issue 1431 create a tensor from 
+      ## a sliced view of another tensor
+      Acopy = Tensor(NDTensors.storage(Aview), (1, 4))
+      @test NDTensors.cpu(data(Acopy)) == NDTensors.cpu(data(Aview))
+      @test dims(Acopy) == (1, 4)
 
       B = dev(Tensor(elt, undef, (3, 4)))
       randn!(B)