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triton/lib/codegen/analysis/layout.cc

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#include <algorithm>
#include <iostream>
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#include <numeric>
#include "triton/codegen/analysis/axes.h"
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#include "triton/codegen/analysis/align.h"
#include "triton/codegen/analysis/layout.h"
#include "triton/ir/function.h"
#include "triton/ir/module.h"
#include "triton/ir/utils.h"
namespace triton{
namespace codegen{
namespace analysis{
// constructor
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layout::layout(analysis::axes *axes, analysis::align *align)
: axes_(axes), align_(align) { }
// get group id
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unsigned layout::layout_of(ir::value *value) const
{ return groups_.at(value); }
// get values
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const std::vector<ir::value*>& layout::values_of(unsigned id) const
{ return values_.at(id); }
// get number of groups
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size_t layout::num_layouts() const
{ return values_.size(); }
// connect two values
void layout::connect(ir::value *x, ir::value *y) {
if(x == y)
return;
if(!x->get_type()->is_tile_ty())
return;
if(!y->get_type()->is_tile_ty())
return;
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std::vector<int> x_axes = axes_->get(x);
std::vector<int> y_axes = axes_->get(y);
std::set<int> sx_axes(x_axes.begin(), x_axes.end());
std::set<int> sy_axes(y_axes.begin(), y_axes.end());
std::set<int> common;
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std::set_intersection(sx_axes.begin(), sx_axes.end(),
sy_axes.begin(), sy_axes.end(),
std::inserter(common, common.begin()));
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if(!common.empty())
graph_.add_edge(x, y);
}
// make graph
void layout::make_graph(ir::instruction *i) {
for(ir::value* opx: i->ops())
for(ir::value* opy: i->ops()){
connect(i, opx);
connect(opx, opy);
}
}
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// hmma
bool is_hmma_c(ir::value *v){
bool result = false;
if(auto *x = dynamic_cast<ir::dot_inst*>(v)){
ir::value *a = x->get_operand(0);
ir::type *a_ty = a->get_type();
ir::value *b = x->get_operand(1);
ir::type *b_ty = b->get_type();
result = a_ty->get_scalar_ty()->is_half_ty() &&
b_ty->get_scalar_ty()->is_half_ty();
}
return result;
}
layout_t layout::get(ir::value *v) const {
return layouts_.at(groups_.at(v));
}
const std::map<size_t, layout_t>& layout::get_all() const {
return layouts_;
}
void extract_io_use(ir::value *v, std::set<ir::io_inst*>& result) {
for(ir::user* u: v->get_users()){
auto i = dynamic_cast<ir::io_inst*>(u);
if(i && i->get_pointer_operand() == v)
result.insert(i);
}
}
inline bool is_trans(ir::value *v) {
if(dynamic_cast<ir::trans_inst *>(v)) {
return true;
}
if(auto *phi = dynamic_cast<ir::instruction *>(v)) {
bool result = true;
for(ir::value *op: phi->ops())
result = result && is_trans(op);
return result;
}
return false;
}
void layout::run(ir::module &mod) {
// make graph
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graph_.clear();
ir::for_each_instruction(mod, [this](ir::instruction* i) {
make_graph(i);
});
// connected components
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graph_.connected_components(&values_, &groups_);
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// create layouts
for(const auto& x: values_) {
bool hmma_c = std::any_of(x.second.begin(), x.second.end(), &is_hmma_c);
layouts_[x.first].type = hmma_c ? HMMA_884 : SCANLINE;
}
/* ---- TO CLEAN ---- */
size_t num_groups = num_layouts();
// helpers
auto rank = [this](ir::value* v) {
int ret = 0;
for(int s: v->get_type()->get_tile_shapes())
ret += s > 1;
return ret;
};
// find out which value is the largest in each group
for(const auto& x: values_) {
auto cmp = [&rank](ir::value* x, ir::value *y) { return rank(x) < rank(y); };
ir::value *largest = *std::max_element(x.second.begin(), x.second.end(), cmp);
layouts_[x.first].axes = axes_->get(largest);
layouts_[x.first].i = largest;
layouts_[x.first].shapes = largest->get_type()->get_tile_shapes();
}
// find out the layout ordering of a group
for(size_t i = 0; i < num_groups; i++){
std::set<ir::io_inst*> io;
for(ir::value* v: values_of(i))
extract_io_use(v, io);
auto cmp = [&rank](ir::io_inst* x, ir::io_inst *y) {
return rank(x->get_pointer_operand()) < rank(y->get_pointer_operand());
};
auto it = std::max_element(io.begin(), io.end(), cmp);
std::vector<int> order(layouts_[i].axes.size());
std::iota(order.begin(), order.end(), 0);
if(it != io.end()) {
auto max_contiguous = align_->contiguous((*it)->get_pointer_operand());
std::sort(order.begin(), order.end(), [&](unsigned a, unsigned b) {
return max_contiguous[a] > max_contiguous[b]; }
);
}
layouts_[i].order = order;
}
// matrix multiplication optimizations
for(size_t i = 0; i < num_groups; i++){
std::vector<ir::dot_inst*> dots;
for(ir::value* v: values_of(i))
if(auto *x = dynamic_cast<ir::dot_inst*>(v))
dots.push_back(x);
for(ir::dot_inst* dot: dots){
ir::value* a = dot->get_operand(0);
ir::value* b = dot->get_operand(1);
if(get(dot).type == HMMA_884){
auto a_val = values_of(layout_of(a));
auto b_val = values_of(layout_of(b));
for(ir::value *v: a_val)
if(auto *cts = dynamic_cast<ir::copy_to_shared_inst*>(v))
layouts_[layout_of(a)].order = layouts_[layout_of(cts->get_operand(0))].order;
for(ir::value *v: b_val)
if(auto *cts = dynamic_cast<ir::copy_to_shared_inst*>(v))
layouts_[layout_of(b)].order = layouts_[layout_of(cts->get_operand(0))].order;
}
else{
std::vector<int> col = {0, 1};
std::vector<int> row = {1, 0};
layouts_[layout_of(a)].order = is_trans(a) ? row : col;
layouts_[layout_of(b)].order = is_trans(b) ? col : row;
}
}
}
}
}
}
}