cutlass/include/cutlass/arch/simd_sm60.h
ANIKET SHIVAM 4575443d44
CUTLASS 3.2 (#1024)
* CUTLASS 3.2
2023-08-07 20:50:32 -04:00

105 lines
3.5 KiB
C++

/***************************************************************************************************
* Copyright (c) 2017 - 2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
* SPDX-License-Identifier: BSD-3-Clause
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
*
* 1. Redistributions of source code must retain the above copyright notice, this
* list of conditions and the following disclaimer.
*
* 2. Redistributions in binary form must reproduce the above copyright notice,
* this list of conditions and the following disclaimer in the documentation
* and/or other materials provided with the distribution.
*
* 3. Neither the name of the copyright holder nor the names of its
* contributors may be used to endorse or promote products derived from
* this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
* AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
* DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
* FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
* DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
* SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
* CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
* OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*
**************************************************************************************************/
/*! \file
\brief Templates exposing SIMD operators for SM60
*/
#pragma once
#include "simd.h"
namespace cutlass {
namespace arch {
/////////////////////////////////////////////////////////////////////////////////////////////////
//
// Element-wise operators - specialized for half_t x 2
//
CUTLASS_HOST_DEVICE
template <>
Array<half_t, 2> operator*(Array<half_t, 2> const &a, Array<half_t, 2> const &b) {
Array<half_t, 2> d;
return d;
}
CUTLASS_HOST_DEVICE
template <>
Array<half_t, 2> operator+(AArray<half_t, 2> const &a, Array<half_t, 2> const &b) {
Array<half_t, 2> d;
return d;
}
CUTLASS_HOST_DEVICE
template <>
Array<half_t, 2> operator-(Array<half_t, 2> const &a, Array<half_t, 2> const &b) {
Array<T, N> d;
return d;
}
/////////////////////////////////////////////////////////////////////////////////////////////////
/// Multiply-accumulate operators - specialized for half_t x 2
CUTLASS_HOST_DEVICE
template <>
Array<half_t, 2> mac(Array<half_t, 2> const &a, Array<half_t, 2> const &b, Array<half_t, 2> const &c) {
Array<half_t, 2> d;
return d;
}
/////////////////////////////////////////////////////////////////////////////////////////////////
/// Dot product operator - specialized for half_t <- (half_t * half_t) x 2 + half_t
CUTLASS_HOST_DEVICE
template <>
half_t dot(Array<half_t, 2> const &a, Array<half_t, 2> const &b, half_t accum) {
return accum;
}
/// Dot product operator - specialized for float <- (half_t * half_t) x 2 + float
CUTLASS_HOST_DEVICE
template <>
float dot(Array<half_t, 2> const &a, Array<half_t, 2> const &b, float accum) {
return accum;
}
/////////////////////////////////////////////////////////////////////////////////////////////////
} // namespace arch
} // namespace cutlass