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/*
* Copyright (c) 2017-2019 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to
* deal in the Software without restriction, including without limitation the
* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
* sell copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#include "PixelWiseMultiplication.h"
#include "tests/validation/Helpers.h"
namespace arm_compute
{
namespace test
{
namespace validation
{
namespace reference
{
template <class T>
struct is_floating_point
: std::integral_constant < bool,
std::is_same<float, typename std::remove_cv<T>::type>::value || std::is_same<half_float::half, typename std::remove_cv<T>::type>::value
|| std::is_same<double, typename std::remove_cv<T>::type>::value || std::is_same<long double, typename std::remove_cv<T>::type>::value >
{
};
namespace
{
/** Compute the result of `src1 * src2 * scale`. The result type always matches the type of @p src2.
*
* @param[in] src1 An input value. Data types supported: U8/S16/F16/F32.
* @param[in] src2 An input value. Data types supported: same as @p src1.
* @param[in] scale Scale to apply after multiplication.
* Scale must be positive and its value must be either 1/255 or 1/2^n where n is between 0 and 15.
* @param[in] convert_policy Overflow policy. Supported overflow policies: Wrap, Saturate
* @param[in] rounding_policy Rounding policy. Supported rounding modes: to zero, to nearest even.
*/
template <typename T1, typename T2>
T2 mul(const T1 src1, const T2 src2, float scale, ConvertPolicy convert_policy, RoundingPolicy rounding_policy)
{
using intermediate_type = typename common_promoted_signed_type<T1, T2, T2>::intermediate_type;
const double val = static_cast<intermediate_type>(src1) * static_cast<intermediate_type>(src2) * static_cast<double>(scale);
if(is_floating_point<T2>::value)
{
const auto result = static_cast<T2>(val);
return result;
}
else
{
double rounded_val = 0;
switch(rounding_policy)
{
case(RoundingPolicy::TO_ZERO):
rounded_val = support::cpp11::trunc(val);
break;
case(RoundingPolicy::TO_NEAREST_UP):
rounded_val = round_half_up(val);
break;
case(RoundingPolicy::TO_NEAREST_EVEN):
rounded_val = round_half_even(val);
break;
default:
ARM_COMPUTE_ERROR("Unsupported rounding policy");
}
const auto result = static_cast<T2>((convert_policy == ConvertPolicy::SATURATE) ? saturate_cast<T2>(rounded_val) : rounded_val);
return result;
}
}
template <size_t dim>
struct BroadcastUnroll
{
template <typename T1, typename T2>
static void unroll(const SimpleTensor<T1> &src1, const SimpleTensor<T2> &src2, SimpleTensor<T2> &dst,
float scale, ConvertPolicy convert_policy, RoundingPolicy rounding_policy,
Coordinates &id_src1, Coordinates &id_src2, Coordinates &id_dst)
{
const bool src1_is_broadcast = (src1.shape()[dim - 1] != dst.shape()[dim - 1]);
const bool src2_is_broadcast = (src2.shape()[dim - 1] != dst.shape()[dim - 1]);
id_src1.set(dim - 1, 0);
id_src2.set(dim - 1, 0);
id_dst.set(dim - 1, 0);
for(size_t i = 0; i < dst.shape()[dim - 1]; ++i, ++id_dst[dim - 1])
{
BroadcastUnroll < dim - 1 >::unroll(src1, src2, dst, scale, convert_policy, rounding_policy, id_src1, id_src2, id_dst);
id_src1[dim - 1] += !src1_is_broadcast;
id_src2[dim - 1] += !src2_is_broadcast;
}
}
};
template <>
struct BroadcastUnroll<0>
{
template <typename T1, typename T2>
static void unroll(const SimpleTensor<T1> &src1, const SimpleTensor<T2> &src2, SimpleTensor<T2> &dst,
float scale, ConvertPolicy convert_policy, RoundingPolicy rounding_policy,
Coordinates &id_src1, Coordinates &id_src2, Coordinates &id_dst)
{
dst[coord2index(dst.shape(), id_dst)] = mul(src1[coord2index(src1.shape(), id_src1)], src2[coord2index(src2.shape(), id_src2)], scale, convert_policy, rounding_policy);
}
};
} // namespace
template <typename T1, typename T2>
SimpleTensor<T2> pixel_wise_multiplication(const SimpleTensor<T1> &src1, const SimpleTensor<T2> &src2, float scale, ConvertPolicy convert_policy, RoundingPolicy rounding_policy, QuantizationInfo qout)
{
ARM_COMPUTE_UNUSED(qout);
SimpleTensor<T2> dst(TensorShape::broadcast_shape(src1.shape(), src2.shape()), src2.data_type());
if(scale < 0)
{
ARM_COMPUTE_ERROR("Scale of pixel-wise multiplication must be non-negative");
}
Coordinates id_src1{};
Coordinates id_src2{};
Coordinates id_dst{};
BroadcastUnroll<Coordinates::num_max_dimensions>::unroll(src1, src2, dst, scale, convert_policy, rounding_policy, id_src1, id_src2, id_dst);
return dst;
}
template <>
SimpleTensor<uint8_t> pixel_wise_multiplication(const SimpleTensor<uint8_t> &src1, const SimpleTensor<uint8_t> &src2, float scale, ConvertPolicy convert_policy, RoundingPolicy rounding_policy,
QuantizationInfo qout)
{
SimpleTensor<uint8_t> dst(TensorShape::broadcast_shape(src1.shape(), src2.shape()), src2.data_type(), 1, qout);
if(src1.data_type() == DataType::QASYMM8 && src2.data_type() == DataType::QASYMM8)
{
SimpleTensor<float> src1_tmp = convert_from_asymmetric(src1);
SimpleTensor<float> src2_tmp = convert_from_asymmetric(src2);
SimpleTensor<float> dst_tmp = pixel_wise_multiplication<float>(src1_tmp, src2_tmp, scale, convert_policy, rounding_policy, qout);
dst = convert_to_asymmetric(dst_tmp, qout);
}
else
{
if(scale < 0)
{
ARM_COMPUTE_ERROR("Scale of pixel-wise multiplication must be non-negative");
}
Coordinates id_src1{};
Coordinates id_src2{};
Coordinates id_dst{};
BroadcastUnroll<Coordinates::num_max_dimensions>::unroll(src1, src2, dst, scale, convert_policy, rounding_policy, id_src1, id_src2, id_dst);
}
return dst;
}
// *INDENT-OFF*
// clang-format off
template SimpleTensor<int16_t> pixel_wise_multiplication(const SimpleTensor<uint8_t> &src1, const SimpleTensor<int16_t> &src2, float scale, ConvertPolicy convert_policy, RoundingPolicy rounding_policy, QuantizationInfo qout);
template SimpleTensor<int16_t> pixel_wise_multiplication(const SimpleTensor<int16_t> &src1, const SimpleTensor<int16_t> &src2, float scale, ConvertPolicy convert_policy, RoundingPolicy rounding_policy, QuantizationInfo qout);
template SimpleTensor<float> pixel_wise_multiplication(const SimpleTensor<float> &src1, const SimpleTensor<float> &src2, float scale, ConvertPolicy convert_policy, RoundingPolicy rounding_policy, QuantizationInfo qout);
template SimpleTensor<half_float::half> pixel_wise_multiplication(const SimpleTensor<half_float::half> &src1, const SimpleTensor<half_float::half> &src2, float scale, ConvertPolicy convert_policy, RoundingPolicy rounding_policy, QuantizationInfo qout);
// clang-format on
// *INDENT-ON*
} // namespace reference
} // namespace validation
} // namespace test
} // namespace arm_compute
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