| /dports/science/dakota/dakota-6.13.0-release-public.src-UI/packages/external/muq2/MUQ/Approximation/GaussianProcesses/ |
| H A D | SumKernel.h | 21 class SumKernel : public KernelBase
25 SumKernel(std::shared_ptr<KernelBase> kernel1In,
28 virtual ~SumKernel(){}; in ~SumKernel()
30 …virtual std::shared_ptr<KernelBase> Clone() const override{return std::make_shared<SumKernel>(kern… in Clone()
54 SumKernel operator+(KernelType1 const& k1, KernelType2 const& k2)
56 return SumKernel(k1.Clone(), k2.Clone());
59 std::shared_ptr<SumKernel> operator+(std::shared_ptr<KernelBase> k1, std::shared_ptr<KernelBase> k2…
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| /dports/science/dakota/dakota-6.13.0-release-public.src-UI/packages/external/muq2/modules/Approximation/src/GaussianProcesses/ |
| H A D | SumKernel.cpp | 10 SumKernel::SumKernel(std::shared_ptr<KernelBase> kernel1In, in SumKernel() function in SumKernel
25 void SumKernel::FillBlock(Eigen::Ref<const Eigen::VectorXd> const& x1, in FillBlock()
40 void SumKernel::FillPosDerivBlock(Eigen::Ref<const Eigen::VectorXd> const& x1, in FillPosDerivBlock()
54 …rSDE>, std::shared_ptr<muq::Modeling::LinearOperator>, Eigen::MatrixXd> SumKernel::GetStateSpace(b… in GetStateSpace()
80 std::shared_ptr<SumKernel> muq::Approximation::operator+(std::shared_ptr<KernelBase> k1, std::share… in operator +()
82 return std::make_shared<SumKernel>(k1, k2); in operator +()
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| /dports/science/dakota/dakota-6.13.0-release-public.src-UI/packages/external/muq2/modules/Approximation/python/wrappers/ |
| H A D | KernelWrapper.cpp | 202 py::class_<SumKernel, KernelBase, std::shared_ptr<SumKernel>> in KernelWrapper()
206 .def("Clone", &SumKernel::Clone) in KernelWrapper()
207 .def("FillBlock", &SumKernel::FillBlock) in KernelWrapper()
208 .def("FillPosDerivBlock", &SumKernel::FillPosDerivBlock) in KernelWrapper()
209 .def("GetStateSpace", &SumKernel::GetStateSpace); in KernelWrapper()
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| /dports/science/py-chainer/chainer-7.8.0/chainerx_cc/chainerx/kernels/ |
| H A D | reduction.h | 18 class SumKernel : public Kernel {
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| /dports/science/py-chainer/chainer-7.8.0/chainerx_cc/chainerx/cuda/cuda_device/ |
| H A D | reduction.cu | 114 class CudaSumKernel : public SumKernel {
132 CHAINERX_CUDA_REGISTER_KERNEL(SumKernel, CudaSumKernel);
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| H A D | dot.cu | 98 …device.backend().CallKernel<SumKernel>(a_cast.Reshape({k}) * b_cast.Reshape({k}), Axes{0}, out.Res… in Call()
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| /dports/science/py-chainer/chainer-7.8.0/chainerx_cc/chainerx/native/native_device/ |
| H A D | reduction.cc | 96 class NativeSumKernel : public SumKernel {
119 CHAINERX_NATIVE_REGISTER_KERNEL(SumKernel, NativeSumKernel);
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| H A D | pool.cc | 193 device.backend().CallKernel<SumKernel>(a, axis, out); in Mean()
287 device.backend().CallKernel<SumKernel>(col, kernel_axes, actual_out); in Call()
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| /dports/security/vault/vault-1.8.2/vendor/github.com/apache/arrow/cpp/src/arrow/compute/kernels/ |
| H A D | aggregate_benchmark.cc | 309 static void SumKernel(benchmark::State& state) { in SumKernel() function
327 static void FuncName(benchmark::State& state) { SumKernel<Type>(state); } \
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| /dports/science/py-chainer/chainer-7.8.0/chainerx_cc/chainerx/routines/ |
| H A D | statistics.cc | 121 a.device().backend().CallKernel<SumKernel>(a, sorted_axis, out); in Mean()
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| H A D | reduction.cc | 54 a.device().backend().CallKernel<SumKernel>(a, sorted_axis, out); in Sum()
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| /dports/www/grafana8/grafana-8.3.6/vendor/github.com/apache/arrow/cpp/src/arrow/compute/kernels/ |
| H A D | aggregate_benchmark.cc | 308 static void SumKernel(benchmark::State& state) { in SumKernel() function
326 static void FuncName(benchmark::State& state) { SumKernel<Type>(state); } \
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| /dports/databases/arrow/apache-arrow-6.0.1/cpp/src/arrow/compute/kernels/ |
| H A D | aggregate_benchmark.cc | 471 static void SumKernel(benchmark::State& state) { in SumKernel() function
489 static void FuncName(benchmark::State& state) { SumKernel<Type>(state); } \
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