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/***************************************************************************************************
* Copyright (c) 2017 - 2024 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
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* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*
**************************************************************************************************/
/*! \file
\brief Ell iterator for matrix of indices (ellColInd matrix)
*/
#pragma once
namespace cutlass {
namespace transform {
namespace threadblock {
namespace ell{
constexpr unsigned int SmemPow = 8;
constexpr unsigned int SmemStages = 2;
constexpr unsigned int SmemSize = 1 << SmemPow;
constexpr unsigned int SmemMask = (SmemSize*SmemStages-1);
class SharedStorage{
public:
Array<int, SmemSize*SmemStages> array;
};
class Iterator{
public:
using Layout = layout::PitchLinear;
using LongIndex = typename Layout::LongIndex;
private:
const int *gmem_col_idx_;
int *smem_col_idx_;
const int block_size_;
const int base_idx_;
const int k_shape_;
const int ell_increment_;
const int array_length_;
int col_idx_base_;
int residue_;
int counter_;
int pow2_;
int residue_shape_;
int smem_offset_;
int smem_stage_;
int gmem_offset_;
int lane_;
bool is_pow2_;
bool is_residue_tile_;
public:
CUTLASS_DEVICE
void load_ell_indices(){
for(int i=threadIdx.x; i<SmemSize; i+=blockDim.x){
int idx = (gmem_offset_+i < array_length_) ? gmem_offset_+i : array_length_-1;
int gmem_col_idx = gmem_col_idx_[idx] - base_idx_;
smem_col_idx_[i + smem_stage_ * SmemSize] =
(gmem_col_idx >= 0) ? gmem_col_idx : -1;
}
gmem_offset_ += SmemSize;
smem_stage_ ^= 1;
}
CUTLASS_DEVICE
Iterator(
SharedStorage& shared_storage_base,
const int* col_idx,
const int& block_size,
const int& base_idx,
const int k_shape,
const int& problem_size_k,
const int& ell_stride,
const int& thread_idx)
: residue_(0),
counter_(0),
smem_offset_(0),
smem_stage_(0),
gmem_offset_(0),
block_size_(block_size),
base_idx_(base_idx),
k_shape_(k_shape),
ell_increment_(ell_stride * block_size),
array_length_((problem_size_k + block_size_ - 1) / block_size_),
residue_shape_(problem_size_k % k_shape_),
is_residue_tile_(residue_shape_ != 0),
smem_col_idx_(reinterpret_cast<int*>(&shared_storage_base.array)),
gmem_col_idx_(const_cast<int*>(col_idx)),
lane_(thread_idx % 32) {
load_ell_indices();
__syncthreads();
is_pow2_ = ((block_size_ & (block_size_ - 1)) == 0);
if( is_pow2_ && k_shape <= block_size_ ) lane_ = 0;
col_idx_base_ = smem_col_idx_[(smem_offset_ + lane_) & SmemMask] * ell_increment_;
pow2_ = 0;
while(block_size_ >> (pow2_ + 1)) ++pow2_;
}
CUTLASS_DEVICE
int get_blocksize(){
return block_size_;
}
CUTLASS_DEVICE
Iterator &operator++(){
if(is_residue_tile_){
residue_ += residue_shape_;
is_residue_tile_ = false;
} else {
residue_ += k_shape_;
}
if(residue_ < block_size_){
return *this;
}
if((array_length_ > SmemSize) && (((smem_offset_ >> SmemPow) & 1) != smem_stage_))
load_ell_indices();
if(residue_ == block_size_){
++smem_offset_;
counter_ += ell_increment_;
residue_ = 0;
col_idx_base_ = smem_col_idx_[(smem_offset_ + lane_) & SmemMask] * ell_increment_ - counter_;
return *this;
}
if(is_pow2_){
smem_offset_ += residue_ >> pow2_;
counter_ += (residue_ >> pow2_) * ell_increment_;
residue_ = residue_ & ((1 << pow2_) - 1);
}
else {
smem_offset_ += residue_ / block_size_;
counter_ += (residue_ / block_size_) * ell_increment_;
residue_ %= block_size_;
}
col_idx_base_ = smem_col_idx_[(smem_offset_ + lane_) & SmemMask] * ell_increment_ - counter_;
return *this;
}
CUTLASS_DEVICE
LongIndex get_offset(const int& idx) {
int num_jump_tiles;
if(is_pow2_)
num_jump_tiles = (idx + residue_) >> pow2_;
else
num_jump_tiles = (idx + residue_) / block_size_;
int tmp = __shfl_sync(0xffffffff, col_idx_base_, num_jump_tiles);
return tmp - num_jump_tiles * ell_increment_;
}
CUTLASS_DEVICE
LongIndex get_offset_fast() {
return col_idx_base_;
}
};
}
}
}
}
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