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init (#6642)

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Co-authored-by: gongweibao <gognweibao@baidu.com>
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gongweibao
2026-03-04 21:55:31 +08:00
committed by GitHub
parent 5c8f5184d9
commit ddb06ff83f
306 changed files with 40627 additions and 34418 deletions
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custom_ops/gpu_ops/cutlass_extensions/epilogue/thread/fused_activations.h
+45 -50
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@@ -1,12 +1,12 @@
/***************************************************************************************************
* Copyright (c) 2017 - 2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
* SPDX-License-Identifier: BSD-3-Clause
* Copyright (c) 2017 - 2022 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.
* 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
@@ -18,18 +18,20 @@
*
* 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.
* 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 Functor performing linear combination with a maximum operation used by epilogues.
\brief Functor performing linear combination with a maximum operation used by
epilogues.
*/
#pragma once
@@ -46,60 +48,53 @@
/////////////////////////////////////////////////////////////////////////////////////////////////
namespace cutlass
{
namespace epilogue
{
namespace thread
{
namespace cutlass {
namespace epilogue {
namespace thread {
/////////////////////////////////////////////////////////////////////////////////////////////////
__forceinline__ __device__ float copysignf_pos(float a, float b)
{
float r;
r = __int_as_float(__float_as_int(a) | (__float_as_int(b) & 0x80000000));
return r;
__forceinline__ __device__ float copysignf_pos(float a, float b) {
float r;
r = __int_as_float(__float_as_int(a) | (__float_as_int(b) & 0x80000000));
return r;
}
__forceinline__ __device__ float tanh_opt(float x)
{
__forceinline__ __device__ float tanh_opt(float x) {
#if (__CUDACC_VER_MAJOR__ < 11) || (__CUDA_ARCH__ < 750)
float const exp_val = -1.f * fabs(2 * x);
return copysignf_pos((1.0f - __expf(exp_val)) / (__expf(exp_val) + 1.0f), x);
float const exp_val = -1.f * fabs(2 * x);
return copysignf_pos((1.0f - __expf(exp_val)) / (__expf(exp_val) + 1.0f), x);
#else
return fast_tanh(x);
return fast_tanh(x);
#endif
}
/////////////////////////////////////////////////////////////////////////////////////////////////
template <>
struct GELU_taylor<float>
{
static bool const kIsHeavy = true;
struct GELU_taylor<float> {
static bool const kIsHeavy = true;
CUTLASS_DEVICE
float operator()(float const& z) const
{
CUTLASS_DEVICE
float operator()(float const& z) const {
float k0 = float(0.7978845608028654);
float k1 = float(0.044715);
float k0 = float(0.7978845608028654);
float k1 = float(0.044715);
return float(
cutlass::constants::half<float>() * z *
(cutlass::constants::one<float>() +
tanh_opt(k0 * z * (cutlass::constants::one<float>() + k1 * z * z))));
}
return float(cutlass::constants::half<float>() * z
* (cutlass::constants::one<float>() + tanh_opt(k0 * z * (cutlass::constants::one<float>() + k1 * z * z))));
}
using Params = LinearCombinationGenericParams<float>;
using Params = LinearCombinationGenericParams<float>;
CUTLASS_DEVICE
float operator()(float const& scalar, Params const& params_) const
{
return this->operator()(scalar);
}
CUTLASS_DEVICE
float operator()(float const& scalar, Params const& params_) const {
return this->operator()(scalar);
}
};
} // namespace thread
} // namespace epilogue
} // namespace cutlass
} // namespace thread
} // namespace epilogue
} // namespace cutlass
/////////////////////////////////////////////////////////////////////////////////////////////////