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90 lines
3.3 KiB
C++
90 lines
3.3 KiB
C++
/*
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* Copyright 2008-2013 NVIDIA Corporation
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* Copyright 2013 Filipe RNC Maia
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* Modifications Copyright© 2019-2025 Advanced Micro Devices, Inc. All rights reserved.
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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#pragma once
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#include <thrust/detail/config.h>
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#include <thrust/complex.h>
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#include <thrust/detail/type_traits.h>
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THRUST_NAMESPACE_BEGIN
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template <typename T0, typename T1>
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THRUST_HOST_DEVICE complex<typename ::internal::promoted_numerical_type<T0, T1>::type>
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pow(const complex<T0>& x, const complex<T1>& y)
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{
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using T = typename ::internal::promoted_numerical_type<T0, T1>::type;
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return exp(log(complex<T>(x)) * complex<T>(y));
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}
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// Specialized version for complex<float> on AMD GPUs to use FMA-based multiplication
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#if defined(__HIP_DEVICE_COMPILE__) && defined(__HIP_PLATFORM_AMD__)
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namespace detail
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{
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// FMA-aware complex multiplication for float precision on AMD GPUs.
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// This prevents SLP vectorizer from breaking FMA formation, which causes
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// numerical precision loss in complex arithmetic.
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// The issue occurs when vectorizer packs scalar multiplies before backend
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// can form FMA instructions, resulting in double rounding instead of single.
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THRUST_HOST_DEVICE inline thrust::complex<float> complex_mul_fma(thrust::complex<float> a, thrust::complex<float> b)
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{
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// Complex multiplication: (a.r + a.i*i) * (b.r + b.i*i)
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// = (a.r*b.r - a.i*b.i) + (a.r*b.i + a.i*b.r)*i
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// Using __builtin_fmaf ensures FMA at source level:
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// real: a.r*b.r + (-(a.i*b.i)) = FMA(a.r, b.r, -(a.i*b.i))
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// imag: a.i*b.r + a.r*b.i = FMA(a.r, b.i, a.i*b.r)
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float real_part = __builtin_fmaf(a.real(), b.real(), -(a.imag() * b.imag()));
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float imag_part = __builtin_fmaf(a.real(), b.imag(), a.imag() * b.real());
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return thrust::complex<float>(real_part, imag_part);
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}
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} // namespace detail
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template <>
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THRUST_HOST_DEVICE inline complex<float> pow(const complex<float>& x, const complex<float>& y)
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{
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auto log_x = thrust::log(static_cast<thrust::complex<float>>(x));
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auto y_log_x = detail::complex_mul_fma(static_cast<thrust::complex<float>>(y), log_x);
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return static_cast<complex<float>>(thrust::exp(y_log_x));
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}
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#endif
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template <typename T0, typename T1>
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THRUST_HOST_DEVICE complex<typename ::internal::promoted_numerical_type<T0, T1>::type>
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pow(const complex<T0>& x, const T1& y)
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{
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using T = typename ::internal::promoted_numerical_type<T0, T1>::type;
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return exp(log(complex<T>(x)) * T(y));
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}
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template <typename T0, typename T1>
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THRUST_HOST_DEVICE complex<typename ::internal::promoted_numerical_type<T0, T1>::type>
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pow(const T0& x, const complex<T1>& y)
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{
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using T = typename ::internal::promoted_numerical_type<T0, T1>::type;
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#ifdef __HIP_DEVICE_COMPILE__
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using ::log;
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#else
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// Find `log` by ADL.
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using std::log;
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#endif
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return exp(log(T(x)) * complex<T>(y));
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}
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THRUST_NAMESPACE_END
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