Update TypeParameterAccessors to v0.2

NDTensors/Project.toml

@@ -93,7 +93,7 @@ StridedViews = "0.2.2, 0.3"
 TBLIS = "0.2"
 TimerOutputs = "0.5.5"
 TupleTools = "1.2.0"
-TypeParameterAccessors = "0.1"
+TypeParameterAccessors = "0.2"
 VectorInterface = "0.4.2, 0.5"
 cuTENSOR = "2"
 julia = "1.10"

NDTensors/ext/NDTensorsAMDGPUExt/adapt.jl

@@ -2,16 +2,14 @@ using NDTensors: NDTensors, EmptyStorage, adapt_storagetype, emptytype
 using NDTensors.AMDGPUExtensions: AMDGPUExtensions, ROCArrayAdaptor
 using NDTensors.GPUArraysCoreExtensions: storagemode
 using NDTensors.TypeParameterAccessors:
-  default_type_parameter,
-  set_type_parameter,
-  set_type_parameters,
-  type_parameter,
-  type_parameters
+  default_type_parameters, set_type_parameters, type_parameters
 using Adapt: Adapt, adapt
 using AMDGPU: AMDGPU, ROCArray, ROCVector
 using Functors: fmap
 
-function AMDGPUExtensions.roc(xs; storagemode=default_type_parameter(ROCArray, storagemode))
+function AMDGPUExtensions.roc(
+  xs; storagemode=default_type_parameters(ROCArray, storagemode)
+)
   return fmap(x -> adapt(ROCArrayAdaptor{storagemode}(), x), xs)
 end
 

NDTensors/ext/NDTensorsCUDAExt/adapt.jl

@@ -5,9 +5,9 @@ using NDTensors: NDTensors, EmptyStorage, adapt_storagetype, emptytype
 using NDTensors.CUDAExtensions: CUDAExtensions, CuArrayAdaptor
 using NDTensors.GPUArraysCoreExtensions: storagemode
 using NDTensors.TypeParameterAccessors:
-  default_type_parameter, set_type_parameters, type_parameters
+  default_type_parameters, set_type_parameters, type_parameters
 
-function CUDAExtensions.cu(xs; storagemode=default_type_parameter(CuArray, storagemode))
+function CUDAExtensions.cu(xs; storagemode=default_type_parameters(CuArray, storagemode))
   return fmap(x -> adapt(CuArrayAdaptor{storagemode}(), x), xs)
 end
 

NDTensors/src/abstractarray/generic_array_constructors.jl

@@ -1,5 +1,8 @@
 using TypeParameterAccessors:
-  unwrap_array_type, specify_default_type_parameters, type_parameter
+  unwrap_array_type,
+  specify_default_type_parameters,
+  specify_type_parameters,
+  type_parameters
 
 # Convert to Array, avoiding copying if possible
 array(a::AbstractArray) = a
@@ -8,9 +11,9 @@ vector(a::AbstractVector) = a
 
 ## Warning to use these functions it is necessary to define `TypeParameterAccessors.position(::Type{<:YourArrayType}, ::typeof(ndims)))`
 # Implementation, catches if `ndims(arraytype) != length(dims)`.
-## TODO convert ndims to `type_parameter(::, typeof(ndims))`
+## TODO convert ndims to `type_parameters(::, typeof(ndims))`
 function generic_randn(arraytype::Type{<:AbstractArray}, dims...; rng=Random.default_rng())
-  arraytype_specified = specify_type_parameter(
+  arraytype_specified = specify_type_parameters(
     unwrap_array_type(arraytype), ndims, length(dims)
   )
   arraytype_specified = specify_default_type_parameters(arraytype_specified)
@@ -27,7 +30,7 @@ end
 
 # Implementation, catches if `ndims(arraytype) != length(dims)`.
 function generic_zeros(arraytype::Type{<:AbstractArray}, dims...)
-  arraytype_specified = specify_type_parameter(
+  arraytype_specified = specify_type_parameters(
     unwrap_array_type(arraytype), ndims, length(dims)
   )
   arraytype_specified = specify_default_type_parameters(arraytype_specified)

NDTensors/src/adapt.jl

@@ -27,11 +27,11 @@ double_precision(x) = fmap(x -> adapt(double_precision(eltype(x)), x), x)
 # Used to adapt `EmptyStorage` types
 #
 
-using TypeParameterAccessors: specify_type_parameter, specify_type_parameters
+using TypeParameterAccessors: specify_type_parameters
 function adapt_storagetype(to::Type{<:AbstractVector}, x::Type{<:TensorStorage})
-  return set_datatype(x, specify_type_parameter(to, eltype, eltype(x)))
+  return set_datatype(x, specify_type_parameters(to, eltype, eltype(x)))
 end
 
 function adapt_storagetype(to::Type{<:AbstractArray}, x::Type{<:TensorStorage})
-  return set_datatype(x, specify_type_parameter(to, (ndims, eltype), (1, eltype(x))))
+  return set_datatype(x, specify_type_parameters(to, (ndims, eltype), (1, eltype(x))))
 end

NDTensors/src/dense/generic_array_constructors.jl

@@ -1,9 +1,10 @@
 using TypeParameterAccessors:
-  default_type_parameter,
+  default_type_parameters,
   parenttype,
   set_eltype,
   specify_default_type_parameters,
-  type_parameter
+  specify_type_parameters,
+  type_parameters
 ##TODO replace randn in ITensors with generic_randn
 ## and replace zeros with generic_zeros
 
@@ -12,7 +13,9 @@ using TypeParameterAccessors:
 
 function generic_randn(StoreT::Type{<:Dense}, dims::Integer; rng=Random.default_rng())
   StoreT = specify_default_type_parameters(StoreT)
-  DataT = specify_type_parameter(type_parameter(StoreT, parenttype), eltype, eltype(StoreT))
+  DataT = specify_type_parameters(
+    type_parameters(StoreT, parenttype), eltype, eltype(StoreT)
+  )
   @assert eltype(StoreT) == eltype(DataT)
 
   data = generic_randn(DataT, dims; rng=rng)
@@ -22,7 +25,9 @@ end
 
 function generic_zeros(StoreT::Type{<:Dense}, dims::Integer)
   StoreT = specify_default_type_parameters(StoreT)
-  DataT = specify_type_parameter(type_parameter(StoreT, parenttype), eltype, eltype(StoreT))
+  DataT = specify_type_parameters(
+    type_parameters(StoreT, parenttype), eltype, eltype(StoreT)
+  )
   @assert eltype(StoreT) == eltype(DataT)
 
   data = generic_zeros(DataT, dims)

NDTensors/src/lib/Expose/src/exposed.jl

@@ -1,5 +1,5 @@
 using TypeParameterAccessors:
-  TypeParameterAccessors, unwrap_array_type, parameter, parenttype, type_parameter
+  TypeParameterAccessors, unwrap_array_type, parenttype, type_parameters
 struct Exposed{Unwrapped,Object}
   object::Object
 end
@@ -9,7 +9,7 @@ expose(object) = Exposed{unwrap_array_type(object),typeof(object)}(object)
 unexpose(E::Exposed) = E.object
 
 ## TODO remove TypeParameterAccessors when SetParameters is removed
-TypeParameterAccessors.parenttype(type::Type{<:Exposed}) = parameter(type, parenttype)
+TypeParameterAccessors.parenttype(type::Type{<:Exposed}) = type_parameters(type, parenttype)
 function TypeParameterAccessors.position(::Type{<:Exposed}, ::typeof(parenttype))
   return TypeParameterAccessors.Position(1)
 end

NDTensors/src/lib/GPUArraysCoreExtensions/src/gpuarrayscore.jl

@@ -1,15 +1,15 @@
 using ..Expose: Exposed, unexpose
-using TypeParameterAccessors: TypeParameterAccessors, type_parameter, set_type_parameter
+using TypeParameterAccessors: TypeParameterAccessors, type_parameters, set_type_parameters
 
 function storagemode(object)
   return storagemode(typeof(object))
 end
 function storagemode(type::Type)
-  return type_parameter(type, storagemode)
+  return type_parameters(type, storagemode)
 end
 
 function set_storagemode(type::Type, param)
-  return set_type_parameter(type, storagemode, param)
+  return set_type_parameters(type, storagemode, param)
 end
 
 function cpu end

NDTensors/test/Project.toml

@@ -20,6 +20,7 @@ SparseArrays = "2f01184e-e22b-5df5-ae63-d93ebab69eaf"
 StridedViews = "4db3bf67-4bd7-4b4e-b153-31dc3fb37143"
 TensorOperations = "6aa20fa7-93e2-5fca-9bc0-fbd0db3c71a2"
 Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
+TypeParameterAccessors = "7e5a90cf-f82e-492e-a09b-e3e26432c138"
 Zygote = "e88e6eb3-aa80-5325-afca-941959d7151f"
 
 [compat]