93 lines
4.0 KiB
Plaintext
93 lines
4.0 KiB
Plaintext
/***************************************************************************************************
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* Copyright (c) 2023 - 2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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* SPDX-License-Identifier: BSD-3-Clause
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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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*
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* 1. Redistributions of source code must retain the above copyright notice, this
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* list of conditions and the following disclaimer.
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*
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* 2. 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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*
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* 3. Neither the name of the copyright holder nor the names of its
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* contributors may be used to endorse or promote products derived from
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* this software 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 ARE
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* DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
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* FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
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* DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
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* SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
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* CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
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* OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
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* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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*
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**************************************************************************************************/
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/*! \file
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\brief Simple permutation kernel implementation.
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*/
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#include "cutlass/layout/pitch_linear.h"
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#include "cutlass/layout/matrix.h"
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#include "cutlass/tensor_view.h"
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#include "cutlass/fast_math.h"
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#include "cute/numeric/numeric_types.hpp"
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namespace example
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{
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/**
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* Assumes column-major input (M mode is contiguous, N mode is strided).
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* For row major, the inputs must be switched accordingly.
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*/
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template<bool Batched, typename Element, typename Permute>
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__global__ void
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permute_kernel(Element const* __restrict__ input,
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Element* __restrict__ output,
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Permute permute,
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int64_t num_elems,
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cutlass::FastDivmod stride_divmod)
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{
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// CUTLASS 2.x batched permute functions assume 0 batch stride for target tensor
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Element const * input_b = input + blockIdx.z * num_elems;
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Element * output_b = output + (Batched ? 0 : blockIdx.z * num_elems);
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for (int64_t k = threadIdx.x + blockIdx.x * blockDim.x; k < num_elems; k += blockDim.x * gridDim.x)
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{
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int i, j;
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stride_divmod(j, i, k);
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output_b[permute(cutlass::PitchLinearCoord(i, j))] = input_b[i + j * stride_divmod.divisor];
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}
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}
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template<bool Batched, typename Permute, typename Element>
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void permute(Element const* input,
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Element * output,
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int64_t num_elems,
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int stride,
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int batch_count,
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cutlass::KernelHardwareInfo const& hw_info)
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{
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// Upcast to uint128_t data type
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int factor = 128 / cutlass::sizeof_bits<Element>::value;
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assert(stride % factor == 0);
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int stride_upcast = stride/factor;
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int64_t num_elems_upcast = num_elems / factor;
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Permute permute_upcast(cutlass::PitchLinearCoord(stride_upcast, int(num_elems_upcast/stride_upcast)), stride_upcast);
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cutlass::FastDivmod stride_divmod(stride);
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dim3 blocks(hw_info.sm_count, 1, batch_count);
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permute_kernel<Batched><<<blocks, 1024>>>(reinterpret_cast<cute::uint128_t const *>(input),
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reinterpret_cast<cute::uint128_t *>(output),
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permute_upcast,
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num_elems_upcast,
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stride_upcast);
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}
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} // namespace example
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