deps, CI and @tensor call updates for 1.11

.github/workflows/CI.yml

@@ -14,6 +14,7 @@ jobs:
         version:
           - '1.9'
           - '1.10'
+          - '1.11'
     steps:
       - uses: actions/checkout@v4
       - uses: julia-actions/setup-julia@v2

Project.toml

@@ -1,7 +1,7 @@
 name = "SpinGlassTensors"
 uuid = "7584fc6a-5a23-4eeb-8277-827aab0146ea"
 authors = ["Anna Maria Dziubyna <[email protected]>", "Tomasz Śmierzchalski <[email protected]>", "Bartłomiej Gardas <[email protected]>", "Konrad Jałowiecki <[email protected]>", "Łukasz Pawela <[email protected]>", "Marek M. Rams <[email protected]>"]
-version = "1.1.3"
+version = "1.2.0"
 
 [deps]
 CUDA = "052768ef-5323-5732-b1bb-66c8b64840ba"
@@ -25,9 +25,9 @@ Memoization = "0.2.1"
 NNlib = "0.9.13"
 SparseArrays = "1.9"
 TSVD = "0.4.4"
-TensorOperations = "4"
-cuTENSOR = "1.1.0"
-julia = "1.9, 1.10"
+TensorOperations = "5"
+cuTENSOR = "2"
+julia = "1.9, 1.10, 1.11"
 
 [extras]
 Logging = "56ddb016-857b-54e1-b83d-db4d58db5568"

src/SpinGlassTensors.jl

@@ -11,7 +11,6 @@ using DocStringExtensions
 using Base.Cartesian
 
 import Base.Prehashed
-#   using SpinGlassNetworks
 
 CUDA.allowscalar(false)
 

src/contractions/dense.jl

@@ -5,7 +5,7 @@
 const MatrixOrCuMatrix{R} = Union{
     CuMatrix{R},
     Matrix{R},
-    Diagonal{R,CuArray{R,1,Mem.DeviceBuffer}},
+    Diagonal{R,CuArray{R,1,CUDA.DeviceMemory}},
     Diagonal{R,Vector{R}},
 }
 

src/mps/utils.jl

@@ -43,9 +43,7 @@ end
 function is_left_normalized(ψ::QMps, ::Val{true})
     all(
         eye(eltype(ψ), size(A, 2); toGPU = true) ≈ @tensor(
-            Id[x, y] := A[α, x, σ] * A[α, y, σ];
-            backend = cuTENSOR,
-            allocator = cuTENSOR
+            Id[x, y] := A[α, x, σ] * A[α, y, σ]
         ) for A ∈ values(ψ.tensors) # TODO: split the line
     )
 end
@@ -63,9 +61,7 @@ end
 function is_right_normalized(ψ::QMps, ::Val{true})
     all(
         eye(eltype(ψ), size(B, 1); toGPU = true) ≈ @tensor(
-            Id[x, y] := B[x, α, σ] * B[y, α, σ];
-            backend = cuTENSOR,
-            allocator = cuTENSOR
+            Id[x, y] := B[x, α, σ] * B[y, α, σ]
         ) for B ∈ values(ψ.tensors) # TODO: split the line
     )
 end