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[SYCL] Add DPC++ RT support for SYCL 2020 spec constants (part 1) #3382
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            bader
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  intel:sycl
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dm-vodopyanov:private/dvodopya/spec_consts_dpcpp_rt_part_1
  
      
      
   
  Apr 1, 2021 
      
    
  
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      bff864d
              
                [SYCL] Add DPC++ RT support for SYCL 2020 spec constants (part 1)
              
              
                dm-vodopyanov 9fd5474
              
                Code style fixes
              
              
                dm-vodopyanov da5af9e
              
                Fix pre-commit
              
              
                dm-vodopyanov 4f2a03c
              
                Minor changes
              
              
                dm-vodopyanov 90dbbe3
              
                Fix build failure on Windows
              
              
                dm-vodopyanov fb62c8b
              
                Fix CR commnets
              
              
                dm-vodopyanov c6cf04f
              
                Remove unnecessary changes
              
              
                dm-vodopyanov f92ccfe
              
                Fix compilation error with msvc
              
              
                dm-vodopyanov 9c60d80
              
                Apply CR comments
              
              
                dm-vodopyanov 558f24b
              
                Add TODO for support spec consts on host device
              
              
                dm-vodopyanov 39c4df8
              
                Add kind_specialization_constants_buffer to kernel_desc.hpp
              
              
                dm-vodopyanov 9b167ab
              
                Fix subsequent build failure
              
              
                dm-vodopyanov dd4d260
              
                Apply CR comments
              
              
                dm-vodopyanov 1a0b200
              
                Temporarily disabling spec const test for CUDA
              
              
                dm-vodopyanov 73f1d19
              
                Merge branch 'sycl' into private/dvodopya/spec_consts_dpcpp_rt_part_1
              
              
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              | Original file line number | Diff line number | Diff line change | 
|---|---|---|
|  | @@ -15,6 +15,7 @@ | |
| #include <CL/sycl/interop_handle.hpp> | ||
| #include <CL/sycl/interop_handler.hpp> | ||
| #include <CL/sycl/kernel.hpp> | ||
| #include <CL/sycl/kernel_handler.hpp> | ||
| #include <CL/sycl/nd_item.hpp> | ||
| #include <CL/sycl/range.hpp> | ||
|  | ||
|  | @@ -122,6 +123,97 @@ class NDRDescT { | |
| size_t Dims; | ||
| }; | ||
|  | ||
| template <typename, typename T> struct check_fn_signature { | ||
| static_assert(std::integral_constant<T, false>::value, | ||
| "Second template parameter is required to be of function type"); | ||
| }; | ||
|  | ||
| template <typename F, typename RetT, typename... Args> | ||
| struct check_fn_signature<F, RetT(Args...)> { | ||
| private: | ||
| template <typename T> | ||
| static constexpr auto check(T *) -> typename std::is_same< | ||
| decltype(std::declval<T>().operator()(std::declval<Args>()...)), | ||
| RetT>::type; | ||
|  | ||
| template <typename> static constexpr std::false_type check(...); | ||
|  | ||
| using type = decltype(check<F>(0)); | ||
|  | ||
| public: | ||
| static constexpr bool value = type::value; | ||
| }; | ||
|  | ||
| template <typename F, typename... Args> | ||
| static constexpr bool check_kernel_lambda_takes_args() { | ||
| return check_fn_signature<std::remove_reference_t<F>, void(Args...)>::value; | ||
| } | ||
|  | ||
|         
                  dm-vodopyanov marked this conversation as resolved.
              Show resolved
            Hide resolved | ||
| // isKernelLambdaCallableWithKernelHandlerImpl checks if LambdaArgType is void | ||
| // (e.g., in single_task), and based on that, calls | ||
| // check_kernel_lambda_takes_args with proper set of arguments. Also this type | ||
| // trait workarounds compilation error which happens only with msvc. | ||
|  | ||
| template <typename KernelType, typename LambdaArgType, | ||
| typename std::enable_if_t<std::is_same<LambdaArgType, void>::value> | ||
| * = nullptr> | ||
| constexpr bool isKernelLambdaCallableWithKernelHandlerImpl() { | ||
| return check_kernel_lambda_takes_args<KernelType, kernel_handler>(); | ||
| } | ||
|  | ||
| template <typename KernelType, typename LambdaArgType, | ||
| typename std::enable_if_t<!std::is_same<LambdaArgType, void>::value> | ||
| * = nullptr> | ||
| constexpr bool isKernelLambdaCallableWithKernelHandlerImpl() { | ||
| return check_kernel_lambda_takes_args<KernelType, LambdaArgType, | ||
| kernel_handler>(); | ||
| } | ||
|  | ||
| // Type traits to find out if kernal lambda has kernel_handler argument | ||
|  | ||
| template <typename KernelType> | ||
| constexpr bool isKernelLambdaCallableWithKernelHandler() { | ||
| return check_kernel_lambda_takes_args<KernelType, kernel_handler>(); | ||
| } | ||
|  | ||
| template <typename KernelType, typename LambdaArgType> | ||
| constexpr bool isKernelLambdaCallableWithKernelHandler() { | ||
| return isKernelLambdaCallableWithKernelHandlerImpl<KernelType, | ||
| LambdaArgType>(); | ||
| } | ||
|  | ||
| // Helpers for running kernel lambda on the host device | ||
|  | ||
| template <typename KernelType, | ||
| typename std::enable_if_t<isKernelLambdaCallableWithKernelHandler< | ||
| KernelType>()> * = nullptr> | ||
| constexpr void runKernelWithoutArg(KernelType KernelName) { | ||
| kernel_handler KH; | ||
| KernelName(KH); | ||
| } | ||
|  | ||
| template <typename KernelType, | ||
| typename std::enable_if_t<!isKernelLambdaCallableWithKernelHandler< | ||
| KernelType>()> * = nullptr> | ||
| constexpr void runKernelWithoutArg(KernelType KernelName) { | ||
| KernelName(); | ||
| } | ||
|  | ||
| template <typename ArgType, typename KernelType, | ||
| typename std::enable_if_t<isKernelLambdaCallableWithKernelHandler< | ||
| KernelType, ArgType>()> * = nullptr> | ||
| constexpr void runKernelWithArg(KernelType KernelName, ArgType Arg) { | ||
| kernel_handler KH; | ||
| KernelName(Arg, KH); | ||
| } | ||
|  | ||
| template <typename ArgType, typename KernelType, | ||
| typename std::enable_if_t<!isKernelLambdaCallableWithKernelHandler< | ||
| KernelType, ArgType>()> * = nullptr> | ||
| constexpr void runKernelWithArg(KernelType KernelName, ArgType Arg) { | ||
| KernelName(Arg); | ||
| } | ||
|  | ||
| // The pure virtual class aimed to store lambda/functors of any type. | ||
| class HostKernelBase { | ||
| public: | ||
|  | @@ -197,7 +289,7 @@ class HostKernel : public HostKernelBase { | |
| template <class ArgT = KernelArgType> | ||
| typename detail::enable_if_t<std::is_same<ArgT, void>::value> | ||
| runOnHost(const NDRDescT &) { | ||
| MKernel(); | ||
| runKernelWithoutArg(MKernel); | ||
| } | ||
|  | ||
| template <class ArgT = KernelArgType> | ||
|  | @@ -218,18 +310,18 @@ class HostKernel : public HostKernelBase { | |
| UpperBound[I] = Range[I] + Offset[I]; | ||
| } | ||
|  | ||
| detail::NDLoop<Dims>::iterate(/*LowerBound=*/Offset, Stride, UpperBound, | ||
| [&](const sycl::id<Dims> &ID) { | ||
| sycl::item<Dims, /*Offset=*/true> Item = | ||
| IDBuilder::createItem<Dims, true>( | ||
| Range, ID, Offset); | ||
|  | ||
| if (StoreLocation) { | ||
| store_id(&ID); | ||
| store_item(&Item); | ||
| } | ||
| MKernel(ID); | ||
| }); | ||
| detail::NDLoop<Dims>::iterate( | ||
| There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. clang-format, the only change - runKernelWithArg... line | ||
| /*LowerBound=*/Offset, Stride, UpperBound, | ||
| [&](const sycl::id<Dims> &ID) { | ||
| sycl::item<Dims, /*Offset=*/true> Item = | ||
| IDBuilder::createItem<Dims, true>(Range, ID, Offset); | ||
|  | ||
| if (StoreLocation) { | ||
| store_id(&ID); | ||
| store_item(&Item); | ||
| } | ||
| runKernelWithArg<const sycl::id<Dims> &>(MKernel, ID); | ||
| }); | ||
| } | ||
|  | ||
| template <class ArgT = KernelArgType> | ||
|  | @@ -253,7 +345,7 @@ class HostKernel : public HostKernelBase { | |
| store_id(&ID); | ||
| store_item(&ItemWithOffset); | ||
| } | ||
| MKernel(Item); | ||
| runKernelWithArg<sycl::item<Dims, /*Offset=*/false>>(MKernel, Item); | ||
| }); | ||
| } | ||
|  | ||
|  | @@ -276,18 +368,18 @@ class HostKernel : public HostKernelBase { | |
| UpperBound[I] = Range[I] + Offset[I]; | ||
| } | ||
|  | ||
| detail::NDLoop<Dims>::iterate(/*LowerBound=*/Offset, Stride, UpperBound, | ||
| [&](const sycl::id<Dims> &ID) { | ||
| sycl::item<Dims, /*Offset=*/true> Item = | ||
| IDBuilder::createItem<Dims, true>( | ||
| Range, ID, Offset); | ||
|  | ||
| if (StoreLocation) { | ||
| store_id(&ID); | ||
| store_item(&Item); | ||
| } | ||
| MKernel(Item); | ||
| }); | ||
| detail::NDLoop<Dims>::iterate( | ||
| /*LowerBound=*/Offset, Stride, UpperBound, | ||
| [&](const sycl::id<Dims> &ID) { | ||
| sycl::item<Dims, /*Offset=*/true> Item = | ||
| IDBuilder::createItem<Dims, true>(Range, ID, Offset); | ||
|  | ||
| if (StoreLocation) { | ||
| store_id(&ID); | ||
| store_item(&Item); | ||
| } | ||
| runKernelWithArg<sycl::item<Dims, /*Offset=*/true>>(MKernel, Item); | ||
| }); | ||
| } | ||
|  | ||
| template <class ArgT = KernelArgType> | ||
|  | @@ -336,7 +428,7 @@ class HostKernel : public HostKernelBase { | |
| auto g = NDItem.get_group(); | ||
| store_group(&g); | ||
| } | ||
| MKernel(NDItem); | ||
| runKernelWithArg<const sycl::nd_item<Dims>>(MKernel, NDItem); | ||
| }); | ||
| }); | ||
| } | ||
|  | @@ -364,7 +456,7 @@ class HostKernel : public HostKernelBase { | |
| detail::NDLoop<Dims>::iterate(NGroups, [&](const id<Dims> &GroupID) { | ||
| sycl::group<Dims> Group = | ||
| IDBuilder::createGroup<Dims>(GlobalSize, LocalSize, NGroups, GroupID); | ||
| MKernel(Group); | ||
| runKernelWithArg<sycl::group<Dims>>(MKernel, Group); | ||
| }); | ||
| } | ||
|  | ||
|  | ||
  
    
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Moved from
handler.hppas is, exceptcheck_kernel_lambda_takes_args- this is a new type trait