Support CUDA f16 without transformation. (#9207)
- Support f16 from cupy. - Include CUDA header explicitly. - Cleanup cmake nvtx support.
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@@ -26,6 +26,10 @@
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#include "xgboost/logging.h"
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#include "xgboost/span.h"
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#if defined(XGBOOST_USE_CUDA)
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#include "cuda_fp16.h"
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#endif
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namespace xgboost {
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// Common errors in parsing columnar format.
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struct ArrayInterfaceErrors {
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@@ -304,12 +308,12 @@ class ArrayInterfaceHandler {
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template <typename T, typename E = void>
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struct ToDType;
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// float
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#if defined(__CUDA_ARCH__) && __CUDA_ARCH__ >= 600
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#if defined(XGBOOST_USE_CUDA)
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template <>
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struct ToDType<__half> {
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static constexpr ArrayInterfaceHandler::Type kType = ArrayInterfaceHandler::kF2;
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};
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#endif // defined(__CUDA_ARCH__) && __CUDA_ARCH__ >= 600
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#endif // defined(XGBOOST_USE_CUDA)
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template <>
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struct ToDType<float> {
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static constexpr ArrayInterfaceHandler::Type kType = ArrayInterfaceHandler::kF4;
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@@ -459,11 +463,11 @@ class ArrayInterface {
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CHECK(sizeof(long double) == 16) << error::NoF128();
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type = T::kF16;
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} else if (typestr[1] == 'f' && typestr[2] == '2') {
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#if defined(__CUDA_ARCH__) && __CUDA_ARCH__ >= 600
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#if defined(XGBOOST_USE_CUDA)
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type = T::kF2;
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#else
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LOG(FATAL) << "Half type is not supported.";
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#endif // defined(__CUDA_ARCH__) && __CUDA_ARCH__ >= 600
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#endif // defined(XGBOOST_USE_CUDA)
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} else if (typestr[1] == 'f' && typestr[2] == '4') {
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type = T::kF4;
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} else if (typestr[1] == 'f' && typestr[2] == '8') {
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@@ -490,20 +494,17 @@ class ArrayInterface {
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}
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}
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XGBOOST_DEVICE size_t Shape(size_t i) const { return shape[i]; }
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XGBOOST_DEVICE size_t Stride(size_t i) const { return strides[i]; }
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[[nodiscard]] XGBOOST_DEVICE std::size_t Shape(size_t i) const { return shape[i]; }
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[[nodiscard]] XGBOOST_DEVICE std::size_t Stride(size_t i) const { return strides[i]; }
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template <typename Fn>
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XGBOOST_HOST_DEV_INLINE decltype(auto) DispatchCall(Fn func) const {
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using T = ArrayInterfaceHandler::Type;
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switch (type) {
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case T::kF2: {
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#if defined(__CUDA_ARCH__) && __CUDA_ARCH__ >= 600
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#if defined(XGBOOST_USE_CUDA)
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return func(reinterpret_cast<__half const *>(data));
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#else
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SPAN_CHECK(false);
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return func(reinterpret_cast<float const *>(data));
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#endif // defined(__CUDA_ARCH__) && __CUDA_ARCH__ >= 600
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#endif // defined(XGBOOST_USE_CUDA)
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}
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case T::kF4:
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return func(reinterpret_cast<float const *>(data));
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@@ -540,23 +541,23 @@ class ArrayInterface {
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return func(reinterpret_cast<uint64_t const *>(data));
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}
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XGBOOST_DEVICE std::size_t ElementSize() const {
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[[nodiscard]] XGBOOST_DEVICE std::size_t ElementSize() const {
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return this->DispatchCall([](auto *typed_data_ptr) {
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return sizeof(std::remove_pointer_t<decltype(typed_data_ptr)>);
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});
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}
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XGBOOST_DEVICE std::size_t ElementAlignment() const {
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[[nodiscard]] XGBOOST_DEVICE std::size_t ElementAlignment() const {
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return this->DispatchCall([](auto *typed_data_ptr) {
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return std::alignment_of<std::remove_pointer_t<decltype(typed_data_ptr)>>::value;
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});
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}
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template <typename T = float, typename... Index>
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XGBOOST_DEVICE T operator()(Index &&...index) const {
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XGBOOST_HOST_DEV_INLINE T operator()(Index &&...index) const {
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static_assert(sizeof...(index) <= D, "Invalid index.");
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return this->DispatchCall([=](auto const *p_values) -> T {
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std::size_t offset = linalg::detail::Offset<0ul>(strides, 0ul, index...);
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#if defined(__CUDA_ARCH__) && __CUDA_ARCH__ >= 600
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#if defined(XGBOOST_USE_CUDA)
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// No operator defined for half -> size_t
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using Type = std::conditional_t<
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std::is_same<__half,
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@@ -566,7 +567,7 @@ class ArrayInterface {
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return static_cast<T>(static_cast<Type>(p_values[offset]));
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#else
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return static_cast<T>(p_values[offset]);
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#endif
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#endif // defined(XGBOOST_USE_CUDA)
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});
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}
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@@ -603,7 +604,7 @@ void DispatchDType(ArrayInterface<D> const array, std::int32_t device, Fn fn) {
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};
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switch (array.type) {
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case ArrayInterfaceHandler::kF2: {
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#if defined(__CUDA_ARCH__) && __CUDA_ARCH__ >= 600
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#if defined(XGBOOST_USE_CUDA)
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dispatch(__half{});
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#endif
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break;
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