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Merge pull request #1218 from IntelPython/elementwise-expm1-log1p-log
Implementation of expm1, log, and log1p
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dpctl/tensor/libtensor/include/kernels/elementwise_functions/expm1.hpp
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//=== expm1.hpp - Unary function EXPM1 ------ | ||
//*-C++-*--/===// | ||
// | ||
// Data Parallel Control (dpctl) | ||
// | ||
// Copyright 2020-2023 Intel Corporation | ||
// | ||
// Licensed under the Apache License, Version 2.0 (the "License"); | ||
// you may not use this file except in compliance with the License. | ||
// You may obtain a copy of the License at | ||
// | ||
// http://www.apache.org/licenses/LICENSE-2.0 | ||
// | ||
// Unless required by applicable law or agreed to in writing, software | ||
// distributed under the License is distributed on an "AS IS" BASIS, | ||
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
// See the License for the specific language governing permissions and | ||
// limitations under the License. | ||
// | ||
//===---------------------------------------------------------------------===// | ||
/// | ||
/// \file | ||
/// This file defines kernels for elementwise evaluation of EXPM1(x) function. | ||
//===---------------------------------------------------------------------===// | ||
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#pragma once | ||
#include <CL/sycl.hpp> | ||
#include <cmath> | ||
#include <cstddef> | ||
#include <cstdint> | ||
#include <type_traits> | ||
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#include "kernels/elementwise_functions/common.hpp" | ||
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#include "utils/offset_utils.hpp" | ||
#include "utils/type_dispatch.hpp" | ||
#include "utils/type_utils.hpp" | ||
#include <pybind11/pybind11.h> | ||
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namespace dpctl | ||
{ | ||
namespace tensor | ||
{ | ||
namespace kernels | ||
{ | ||
namespace expm1 | ||
{ | ||
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namespace py = pybind11; | ||
namespace td_ns = dpctl::tensor::type_dispatch; | ||
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using dpctl::tensor::type_utils::is_complex; | ||
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template <typename argT, typename resT> struct Expm1Functor | ||
{ | ||
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// is function constant for given argT | ||
using is_constant = typename std::false_type; | ||
// constant value, if constant | ||
// constexpr resT constant_value = resT{}; | ||
// is function defined for sycl::vec | ||
using supports_vec = typename std::false_type; | ||
// do both argTy and resTy support sugroup store/load operation | ||
using supports_sg_loadstore = typename std::negation< | ||
std::disjunction<is_complex<resT>, is_complex<argT>>>; | ||
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resT operator()(const argT &in) | ||
{ | ||
if constexpr (is_complex<argT>::value) { | ||
using realT = typename argT::value_type; | ||
// expm1(x + I*y) = expm1(x)*cos(y) - 2*sin(y / 2)^2 + | ||
// I*exp(x)*sin(y) | ||
const realT x = std::real(in); | ||
const realT y = std::imag(in); | ||
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realT cosY_val; | ||
const realT sinY_val = sycl::sincos(y, &cosY_val); | ||
const realT sinhalfY_val = std::sin(y / 2); | ||
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const realT res_re = | ||
std::expm1(x) * cosY_val - 2 * sinhalfY_val * sinhalfY_val; | ||
const realT res_im = std::exp(x) * sinY_val; | ||
return resT{res_re, res_im}; | ||
} | ||
else { | ||
static_assert(std::is_floating_point_v<argT> || | ||
std::is_same_v<argT, sycl::half>); | ||
return std::expm1(in); | ||
} | ||
} | ||
}; | ||
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template <typename argTy, | ||
typename resTy = argTy, | ||
unsigned int vec_sz = 4, | ||
unsigned int n_vecs = 2> | ||
using Expm1ContigFunctor = | ||
elementwise_common::UnaryContigFunctor<argTy, | ||
resTy, | ||
Expm1Functor<argTy, resTy>, | ||
vec_sz, | ||
n_vecs>; | ||
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template <typename argTy, typename resTy, typename IndexerT> | ||
using Expm1StridedFunctor = elementwise_common:: | ||
UnaryStridedFunctor<argTy, resTy, IndexerT, Expm1Functor<argTy, resTy>>; | ||
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template <typename T> struct Expm1OutputType | ||
{ | ||
using value_type = typename std::disjunction< // disjunction is C++17 | ||
// feature, supported by DPC++ | ||
td_ns::TypeMapResultEntry<T, sycl::half, sycl::half>, | ||
td_ns::TypeMapResultEntry<T, float, float>, | ||
td_ns::TypeMapResultEntry<T, double, double>, | ||
td_ns::TypeMapResultEntry<T, std::complex<float>, std::complex<float>>, | ||
td_ns:: | ||
TypeMapResultEntry<T, std::complex<double>, std::complex<double>>, | ||
td_ns::DefaultResultEntry<void>>::result_type; | ||
}; | ||
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typedef sycl::event (*expm1_contig_impl_fn_ptr_t)( | ||
sycl::queue, | ||
size_t, | ||
const char *, | ||
char *, | ||
const std::vector<sycl::event> &); | ||
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template <typename T1, typename T2, unsigned int vec_sz, unsigned int n_vecs> | ||
class expm1_contig_kernel; | ||
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template <typename argTy> | ||
sycl::event expm1_contig_impl(sycl::queue exec_q, | ||
size_t nelems, | ||
const char *arg_p, | ||
char *res_p, | ||
const std::vector<sycl::event> &depends = {}) | ||
{ | ||
sycl::event expm1_ev = exec_q.submit([&](sycl::handler &cgh) { | ||
cgh.depends_on(depends); | ||
constexpr size_t lws = 64; | ||
constexpr unsigned int vec_sz = 4; | ||
constexpr unsigned int n_vecs = 2; | ||
static_assert(lws % vec_sz == 0); | ||
auto gws_range = sycl::range<1>( | ||
((nelems + n_vecs * lws * vec_sz - 1) / (lws * n_vecs * vec_sz)) * | ||
lws); | ||
auto lws_range = sycl::range<1>(lws); | ||
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using resTy = typename Expm1OutputType<argTy>::value_type; | ||
const argTy *arg_tp = reinterpret_cast<const argTy *>(arg_p); | ||
resTy *res_tp = reinterpret_cast<resTy *>(res_p); | ||
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cgh.parallel_for< | ||
class expm1_contig_kernel<argTy, resTy, vec_sz, n_vecs>>( | ||
sycl::nd_range<1>(gws_range, lws_range), | ||
Expm1ContigFunctor<argTy, resTy, vec_sz, n_vecs>(arg_tp, res_tp, | ||
nelems)); | ||
}); | ||
return expm1_ev; | ||
} | ||
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template <typename fnT, typename T> struct Expm1ContigFactory | ||
{ | ||
fnT get() | ||
{ | ||
if constexpr (std::is_same_v<typename Expm1OutputType<T>::value_type, | ||
void>) { | ||
fnT fn = nullptr; | ||
return fn; | ||
} | ||
else { | ||
fnT fn = expm1_contig_impl<T>; | ||
return fn; | ||
} | ||
} | ||
}; | ||
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template <typename fnT, typename T> struct Expm1TypeMapFactory | ||
{ | ||
/*! @brief get typeid for output type of std::expm1(T x) */ | ||
std::enable_if_t<std::is_same<fnT, int>::value, int> get() | ||
{ | ||
using rT = typename Expm1OutputType<T>::value_type; | ||
; | ||
return td_ns::GetTypeid<rT>{}.get(); | ||
} | ||
}; | ||
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template <typename T1, typename T2, typename T3> class expm1_strided_kernel; | ||
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typedef sycl::event (*expm1_strided_impl_fn_ptr_t)( | ||
sycl::queue, | ||
size_t, | ||
int, | ||
const py::ssize_t *, | ||
const char *, | ||
py::ssize_t, | ||
char *, | ||
py::ssize_t, | ||
const std::vector<sycl::event> &, | ||
const std::vector<sycl::event> &); | ||
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template <typename argTy> | ||
sycl::event | ||
expm1_strided_impl(sycl::queue exec_q, | ||
size_t nelems, | ||
int nd, | ||
const py::ssize_t *shape_and_strides, | ||
const char *arg_p, | ||
py::ssize_t arg_offset, | ||
char *res_p, | ||
py::ssize_t res_offset, | ||
const std::vector<sycl::event> &depends, | ||
const std::vector<sycl::event> &additional_depends) | ||
{ | ||
sycl::event comp_ev = exec_q.submit([&](sycl::handler &cgh) { | ||
cgh.depends_on(depends); | ||
cgh.depends_on(additional_depends); | ||
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using resTy = typename Expm1OutputType<argTy>::value_type; | ||
using IndexerT = | ||
typename dpctl::tensor::offset_utils::TwoOffsets_StridedIndexer; | ||
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IndexerT arg_res_indexer(nd, arg_offset, res_offset, shape_and_strides); | ||
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const argTy *arg_tp = reinterpret_cast<const argTy *>(arg_p); | ||
resTy *res_tp = reinterpret_cast<resTy *>(res_p); | ||
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sycl::range<1> gRange{nelems}; | ||
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cgh.parallel_for<expm1_strided_kernel<argTy, resTy, IndexerT>>( | ||
gRange, Expm1StridedFunctor<argTy, resTy, IndexerT>( | ||
arg_tp, res_tp, arg_res_indexer)); | ||
}); | ||
return comp_ev; | ||
} | ||
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template <typename fnT, typename T> struct Expm1StridedFactory | ||
{ | ||
fnT get() | ||
{ | ||
if constexpr (std::is_same_v<typename Expm1OutputType<T>::value_type, | ||
void>) { | ||
fnT fn = nullptr; | ||
return fn; | ||
} | ||
else { | ||
fnT fn = expm1_strided_impl<T>; | ||
return fn; | ||
} | ||
} | ||
}; | ||
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} // namespace expm1 | ||
} // namespace kernels | ||
} // namespace tensor | ||
} // namespace dpctl |
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