Remove some dead code.

JuliaGPU · Nov 27, 2019 · 5662fba · 5662fba
1 parent 0dc2ac5
commit 5662fba
Showing 1 changed file with 0 additions and 73 deletions.
diff --git a/src/tensor/wrappers.jl b/src/tensor/wrappers.jl
@@ -256,79 +256,6 @@ function contraction!(
     return C
 end
 
-#function contraction!(
-#    alpha::Number, A::Array, Ainds::ModeType, opA::cutensorOperator_t,
-#                   B::Array, Binds::ModeType, opB::cutensorOperator_t,
-#    beta::Number,  C::Array, Cinds::ModeType, opC::cutensorOperator_t,
-#    pref::cutensorWorksizePreference_t=CUTENSOR_WORKSPACE_RECOMMENDED,
-#    algo::cutensorAlgo_t=CUTENSOR_ALGO_DEFAULT, stream::CuStream=CuDefaultStream())
-#
-#    !is_unary(opA)    && throw(ArgumentError("opA must be a unary op!"))
-#    !is_unary(opB)    && throw(ArgumentError("opB must be a unary op!"))
-#    !is_unary(opC)    && throw(ArgumentError("opC must be a unary op!"))
-#    descA = CuTensorDescriptor(A; op = opA)
-#    descB = CuTensorDescriptor(B; op = opB)
-#    descC = CuTensorDescriptor(C; op = opC)
-#    # for now, D must be identical to C (and thus, descD must be identical to descC)
-#    T = eltype(C)
-#    typeCompute = cudaDataType(T)
-#    modeA = collect(Cint, Ainds)
-#    modeB = collect(Cint, Binds)
-#    modeC = collect(Cint, Cinds)
-#
-#    workspaceSize = Ref{UInt64}(C_NULL)
-#    cutensorContractionGetWorkspace(handle(), A, descA, modeA, B, descB, modeB, C, descC,
-#                                    modeC, C, descC, modeC, typeCompute, algo, pref,
-#                                    workspaceSize)
-#    workspace = CuArray{UInt8}(undef, 0)
-#    try
-#        workspace = CuArray{UInt8}(undef, workspaceSize[])
-#    catch
-#        workspace = CuArray{UInt8}(undef, 1<<27)
-#    end
-#    workspaceSize[] = length(workspace)
-#
-#    cutensorContraction(handle(), T[alpha], A, descA, modeA, B, descB, modeB, T[beta], C,
-#                        descC, modeC, C, descC, modeC, typeCompute, algo, CU_NULL, 0,
-#                        stream)
-#    return C
-#end
-#
-#function contraction!(
-#    alpha::Number, A::CuTensor, opA::cutensorOperator_t,
-#                   B::CuTensor, opB::cutensorOperator_t,
-#    beta::Number,  C::CuTensor, opC::cutensorOperator_t,
-#    pref::cutensorWorksizePreference_t=CUTENSOR_WORKSPACE_RECOMMENDED,
-#    algo::cutensorAlgo_t=CUTENSOR_ALGO_DEFAULT, stream::CuStream=CuDefaultStream())
-#
-#    !is_unary(opA)    && throw(ArgumentError("opA must be a unary op!"))
-#    !is_unary(opB)    && throw(ArgumentError("opB must be a unary op!"))
-#    !is_unary(opC)    && throw(ArgumentError("opC must be a unary op!"))
-#    descA = CuTensorDescriptor(A; op = opA)
-#    descB = CuTensorDescriptor(B; op = opB)
-#    descC = CuTensorDescriptor(C; op = opC)
-#    # for now, D must be identical to C (and thus, descD must be identical to descC)
-#    T = eltype(C)
-#    typeCompute = cudaDataType(T)
-#
-#    workspaceSize = Ref{UInt64}(C_NULL)
-#    cutensorContractionGetWorkspace(handle(), A.data, descA, A.inds, B.data, descB, B.inds,
-#                                    C.data, descC, C.inds, C.data, descC, C.inds,
-#                                    typeCompute, algo, pref, workspaceSize)
-#    workspace = CuArray{UInt8}(undef, 0)
-#    try
-#        workspace = CuArray{UInt8}(undef, workspaceSize[])
-#    catch
-#        workspace = CuArray{UInt8}(undef, 1<<27)
-#    end
-#    workspaceSize[] = length(workspace)
-#
-#    cutensorContraction(handle(), T[alpha], A.data, descA, A.inds, B.data, descB, B.inds,
-#                        T[beta], C.data, descC, C.inds, C.data, descC, C.inds,
-#                        typeCompute, algo, workspace, workspaceSize[], stream)
-#    return C
-#end
-
 function reduction!(
     alpha::Number, A::CuArray, Ainds::ModeType, opA::cutensorOperator_t,
     beta::Number,  C::CuArray, Cinds::ModeType, opC::cutensorOperator_t,