DPNP C++ backend kernel library
0.20.0dev0
Data Parallel Extension for NumPy*
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heaviside.hpp
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//*****************************************************************************
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// Copyright (c) 2024, Intel Corporation
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// All rights reserved.
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//
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// Redistribution and use in source and binary forms, with or without
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// modification, are permitted provided that the following conditions are met:
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// - Redistributions of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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// - Redistributions in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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// - Neither the name of the copyright holder nor the names of its contributors
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// may be used to endorse or promote products derived from this software
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// without specific prior written permission.
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//
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// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
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// AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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// IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
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// ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE
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// LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
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// CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
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// SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
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// INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
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// CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
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// ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF
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// THE POSSIBILITY OF SUCH DAMAGE.
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//*****************************************************************************
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#pragma once
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#include <sycl/sycl.hpp>
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// dpctl tensor headers
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#include "utils/math_utils.hpp"
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#include "utils/type_utils.hpp"
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namespace
dpnp::kernels::heaviside
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{
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namespace
mu_ns = dpctl::tensor::math_utils;
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namespace
tu_ns = dpctl::tensor::type_utils;
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template
<
typename
argT1,
typename
argT2,
typename
resT>
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struct
HeavisideFunctor
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{
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using
supports_sg_loadstore = std::negation<
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std::disjunction<tu_ns::is_complex<argT1>, tu_ns::is_complex<argT2>>>;
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using
supports_vec =
typename
std::false_type;
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resT operator()(
const
argT1 &in1,
const
argT2 &in2)
const
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{
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if
(std::isnan(in1)) {
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return
in1;
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}
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else
if
(in1 == 0) {
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return
in2;
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}
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return
resT(in1 > 0);
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}
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};
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}
// namespace dpnp::kernels::heaviside
dpnp::kernels::heaviside::HeavisideFunctor
Definition
heaviside.hpp:44
kernels
elementwise_functions
heaviside.hpp
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