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[codegen] better handling of row/column-major

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This commit is contained in:
Philippe Tillet
2019-10-04 16:07:31 -04:00
parent a1e0512703
commit 1783d45bef
7 changed files with 107 additions and 82 deletions
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6
include/triton/codegen/analysis/tiles.h
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@@ -27,11 +27,7 @@ class align;
enum layout_t {
SCANLINE,
HMMA_C,
HMMA_A_COL,
HMMA_A_ROW,
HMMA_B_COL,
HMMA_B_ROW
HMMA_C
};
class tiles {

51
lib/codegen/analysis/liveness.cc
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@@ -89,28 +89,43 @@ void liveness::connected_components(node_t x, std::set<node_t> &nodes, graph_t &
}
}
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;
}
bool liveness::do_pad(ir::value *x) {
// alignment for matrix product
if(auto* dot = dynamic_cast<ir::dot_inst*>(x)) {
// a
ir::value *a = dot->get_operand(0);\
size_t previous_a = pad_[a];
if(tiles_->hmma(a) == HMMA_A_ROW)
pad_[a] = 16;
else if(tiles_->hmma(a) == HMMA_A_COL)
pad_[a] = 8;
else
pad_[a] = 0;
// b
ir::value *a = dot->get_operand(0);
ir::value *b = dot->get_operand(1);
size_t previous_b = pad_[b];
if(tiles_->hmma(b) == HMMA_B_COL)
pad_[b] = 16;
if(tiles_->hmma(b) == HMMA_B_ROW)
pad_[b] = 8;
else
pad_[b] = 0;
return previous_a != pad_[a] || previous_b != pad_[b];
size_t a_previous = pad_[a];
size_t b_previous = pad_[b];
auto a_order = tiles_->order(a);
auto b_order = tiles_->order(b);
bool a_row = is_trans(a) ^ (a_order[0] == 1);
bool b_row = is_trans(b) ^ (b_order[0] == 1);
auto a_shapes = a->get_type()->get_tile_shapes();
auto b_shapes = b->get_type()->get_tile_shapes();
pad_[a] = std::max<int>(pad_[a], (24 - a_shapes[a_row ? 0 : 1]) % 32);
pad_[b] = std::max<int>(pad_[b], (24 - b_shapes[b_row ? 1 : 0]) % 32);
return a_previous != pad_[a] || b_previous != pad_[b];
}
if(auto* trans = dynamic_cast<ir::trans_inst*>(x)) {
ir::value *op = trans->get_operand(0);
size_t previous = pad_[op];
pad_[op] = std::max(pad_[op], pad_[x]);
return previous != pad_[op];
}
if(auto* cts = dynamic_cast<ir::copy_to_shared_inst*>(x)) {
auto cts_order = tiles_->order(cts);
@@ -118,7 +133,7 @@ bool liveness::do_pad(ir::value *x) {
auto arg_order = tiles_->order(arg);
size_t previous = pad_[cts];
if(cts_order != arg_order)
pad_[cts] = 4;
pad_[cts] = std::max<int>(pad_[cts], 4);
return pad_[cts] != previous;
}
// padding for phi-nodes

49
lib/codegen/analysis/tiles.cc
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@@ -215,15 +215,7 @@ void tiles::run(ir::module &) {
for(size_t i = 0; i < num_groups; i++) {
const auto& values = layout_->values(i);
bool hmma_c = std::any_of(values.begin(), values.end(), &is_hmma_c);
bool hmma_a_col = std::any_of(values.begin(), values.end(), &is_hmma_a_col);
bool hmma_a_row = std::any_of(values.begin(), values.end(), &is_hmma_a_row);
bool hmma_b_col = std::any_of(values.begin(), values.end(), &is_hmma_b_col);
bool hmma_b_row = std::any_of(values.begin(), values.end(), &is_hmma_b_row);
if(hmma_c) hmma_[i] = HMMA_C;
else if(hmma_a_col) hmma_[i] = HMMA_A_COL;
else if(hmma_a_row) hmma_[i] = HMMA_A_ROW;
else if(hmma_b_col) hmma_[i] = HMMA_B_COL;
else if(hmma_b_row) hmma_[i] = HMMA_B_ROW;
else hmma_[i] = SCANLINE;
}
@@ -254,20 +246,33 @@ void tiles::run(ir::module &) {
}
order_[i] = order;
}
// for(size_t i = 0; i < num_groups; i++){
// std::vector<ir::dot_inst*> dots;
// for(ir::value* v: layout_->values(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);
// std::vector<int> col = {0, 1};
// std::vector<int> row = {1, 0};
// order_[layout_->id(a)] = is_trans(a) ? row : col;
// order_[layout_->id(b)] = is_trans(b) ? col : row;
// }
// }
// matrix multiplication optimizations
for(size_t i = 0; i < num_groups; i++){
std::vector<ir::dot_inst*> dots;
for(ir::value* v: layout_->values(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(hmma_.at(layout_->id(dot)) == HMMA_C){
auto a_val = layout_->values(layout_->id(a));
auto b_val = layout_->values(layout_->id(b));
for(ir::value *v: a_val)
if(auto *cts = dynamic_cast<ir::copy_to_shared_inst*>(v))
order_[layout_->id(a)] = order_[layout_->id(cts->get_operand(0))];
for(ir::value *v: b_val)
if(auto *cts = dynamic_cast<ir::copy_to_shared_inst*>(v))
order_[layout_->id(b)] = order_[layout_->id(cts->get_operand(0))];
}
else{
std::vector<int> col = {0, 1};
std::vector<int> row = {1, 0};
order_[layout_->id(a)] = is_trans(a) ? row : col;
order_[layout_->id(b)] = is_trans(b) ? col : row;
}
}
}
// tiling parameters
for(auto x: largest_){
ir::value *i = x.second;

2
lib/runtime/function.cc
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@@ -239,7 +239,9 @@ std::unique_ptr<driver::module> function::make_bin(ir::module &module, driver::c
axes.run(module);
layouts.run(module);
align.run(module);
// ir::print(module, std::cout);
tiles.run(module);
// ir::print(module, std::cout);
selection.run(module, *llvm);
// return binary
std::unique_ptr<driver::module> res(driver::module::create(context, std::move(llvm)));

32
tests/bench/dot.cc
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@@ -7,32 +7,34 @@ int main() {
auto context = triton::driver::backend::contexts::get_default();
triton::driver::stream* stream = triton::driver::stream::create(context);
// shapes to benchmark
typedef std::tuple<bool, bool, int, int, int> config_t;
typedef std::tuple<std::vector<int>, bool, bool, int, int, int> config_t;
std::vector<config_t> configs;
for(auto ord: std::vector<std::vector<int>>{{0, 1}, {1, 0}})
for(auto x: std::vector<std::array<bool, 2>>{{false, false}, {false, true},
{true, false}, {true, true}}){
std::vector<config_t> tmp = {
config_t{x[0], x[1], 2048, 2048, 2048},
// config_t{x[0], x[1], 16, 2048, 2048},
// config_t{x[0], x[1], 32, 2048, 2048},
// config_t{x[0], x[1], 64, 2048, 2048},
// config_t{x[0], x[1], 128, 2048, 2048},
// config_t{x[0], x[1], 7000, 2048, 2048},
// config_t{x[0], x[1], 16, 4096, 4096},
// config_t{x[0], x[1], 32, 4096, 4096},
// config_t{x[0], x[1], 64, 4096, 4096},
// config_t{x[0], x[1], 128, 4096, 4096},
// config_t{x[0], x[1], 7000, 4096, 4096}
config_t{ord, x[0], x[1], 2048, 2048, 2048},
// config_t{ord, x[0], x[1], 16, 2048, 2048},
// config_t{ord, x[0], x[1], 32, 2048, 2048},
// config_t{ord, x[0], x[1], 64, 2048, 2048},
// config_t{ord, x[0], x[1], 128, 2048, 2048},
// config_t{ord, x[0], x[1], 7000, 2048, 2048},
// config_t{ord, x[0], x[1], 16, 4096, 4096},
// config_t{ord, x[0], x[1], 32, 4096, 4096},
// config_t{ord, x[0], x[1], 64, 4096, 4096},
// config_t{ord, x[0], x[1], 128, 4096, 4096},
// config_t{ord, x[0], x[1], 7000, 4096, 4096}
};
configs.insert(configs.end(), tmp.begin(), tmp.end());
}
// does the work
std::vector<int> ord;
bool AT, BT;
int32_t M, N, K;
for(const auto& c: configs){
std::tie(AT, BT, M, N, K) = c;
std::cout << "// " << AT << " " << BT << " " << M << " " << N << " " << K << std::flush;
for(auto perf: bench_dot(stream, HALF, AT, BT, M, N, K))
std::tie(ord, AT, BT, M, N, K) = c;
std::cout << "// " << c << std::flush;
for(auto perf: bench_dot(stream, HALF, AT, BT, M, N, K, ord, ord))
std::cout << ", " << perf << std::flush;
std::cout << std::endl;
}

39
tests/common/dot.h
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@@ -19,7 +19,7 @@ static void cc_dot(std::vector<T> &c, const std::vector<T> &a, const std::vector
for(size_t n = 0; n < N; n++){
float acc = 0;
for(size_t k = 0; k < K; k++)
acc = acc + (AT ? a[k*M + m] : a[m*K + k]) * (BT ? b[n*K + k] : b[k*N + n]);
acc = acc + (!AT ? a[k*M + m] : a[m*K + k]) * (!BT ? b[n*K + k] : b[k*N + n]);
c[m + n*M] = static_cast<T>(acc);
}
}
@@ -67,6 +67,7 @@ template<class T>
bool triton_dot(drv::stream* stream, bool AT, bool BT,
int32_t M, int32_t N, int32_t K,
int32_t TM, int32_t TN, int32_t TK, size_t nwarp,
const std::vector<int>& a_order, const std::vector<int>& b_order,
run_mode_t mode, std::vector<double>& bench, bool &test){
std::string ty = to_string<T>::value;
size_t dt_nbytes = sizeof(T);
@@ -74,6 +75,8 @@ bool triton_dot(drv::stream* stream, bool AT, bool BT,
int32_t lda = AT ? K : M;
int32_t ldb = BT ? N : K;
int32_t ldc = M;
std::vector<std::string> sa = { "1", "lda" };
std::vector<std::string> sb = { "1", "ldb" };
// inputs
auto dc = std::shared_ptr<drv::buffer>(drv::buffer::create(context, M*N*dt_nbytes));
@@ -82,20 +85,20 @@ bool triton_dot(drv::stream* stream, bool AT, bool BT,
// macros
rt::function::options_space_t opt;
// B access patterns
opt.defines.push_back({"USEB", {BT? "^b" : "b" }});
opt.defines.push_back({"BROADCAST_BK", {BT? "newaxis, :" : ":, newaxis" }});
opt.defines.push_back({"BROADCAST_BN", {BT? ":, newaxis" : "newaxis, :" }});
opt.defines.push_back({"SHAPE_B", {BT? "TN, TK" : "TK, TN" }});
opt.defines.push_back({"STRIDE_BK", {BT? "1" : "ldb" }});
opt.defines.push_back({"STRIDE_BN", {BT? "ldb" : "1" }});
// A access patterns
opt.defines.push_back({"USEA", {AT? "^a" : "a" }});
opt.defines.push_back({"BROADCAST_AK", {AT? ":, newaxis" : "newaxis, :" }});
opt.defines.push_back({"BROADCAST_AM", {AT? "newaxis, :" : ":, newaxis" }});
opt.defines.push_back({"SHAPE_A", {AT? "TK, TM" : "TM, TK" }});
opt.defines.push_back({"STRIDE_AK", {AT? "lda" : "1" }});
opt.defines.push_back({"STRIDE_AM", {AT? "1" : "lda" }});
opt.defines.push_back({"STRIDE_AK", {AT? sa[a_order[0]] : sa[a_order[1]] }});
opt.defines.push_back({"STRIDE_AM", {AT? sa[a_order[1]] : sa[a_order[0]] }});
// B access patterns
opt.defines.push_back({"USEB", {BT? "^b" : "b" }});
opt.defines.push_back({"BROADCAST_BK", {BT? "newaxis, :" : ":, newaxis" }});
opt.defines.push_back({"BROADCAST_BN", {BT? ":, newaxis" : "newaxis, :" }});
opt.defines.push_back({"SHAPE_B", {BT? "TN, TK" : "TK, TN" }});
opt.defines.push_back({"STRIDE_BK", {BT? sb[b_order[1]] : sb[b_order[0]] }});
opt.defines.push_back({"STRIDE_BN", {BT? sb[b_order[0]] : sb[b_order[1]] }});
// data-type
opt.defines.push_back({"TYPE", {ty}});
// tile sizes
@@ -164,13 +167,14 @@ bool triton_dot(drv::stream* stream, bool AT, bool BT,
std::vector<double> bench_dot(drv::stream* stream,
dtype_t dtype, bool AT, bool BT,
int32_t M, int32_t N, int32_t K) {
int32_t M, int32_t N, int32_t K,
const std::vector<int>& a_order, const std::vector<int>& b_order) {
std::vector<double> bench;
bool test;
switch(dtype){
case HALF: triton_dot<half_float::half>(stream, AT, BT, M, N, K, 0, 0, 0, 0, BENCH, bench, test); break;
case FLOAT: triton_dot<float>(stream, AT, BT, M, N, K, 0, 0, 0, 0, BENCH, bench, test); break;
case DOUBLE: triton_dot<double>(stream, AT, BT, M, N, K, 0, 0, 0, 0, BENCH, bench, test); break;
case HALF: triton_dot<half_float::half>(stream, AT, BT, M, N, K, 0, 0, 0, 0, a_order, b_order, BENCH, bench, test); break;
case FLOAT: triton_dot<float>(stream, AT, BT, M, N, K, 0, 0, 0, 0, a_order, b_order, BENCH, bench, test); break;
case DOUBLE: triton_dot<double>(stream, AT, BT, M, N, K, 0, 0, 0, 0, a_order, b_order, BENCH, bench, test); break;
default: break;
}
return bench;
@@ -178,13 +182,14 @@ std::vector<double> bench_dot(drv::stream* stream,
bool test_dot(drv::stream* stream,
dtype_t dtype, bool AT, bool BT,
int32_t M, int32_t N, int32_t K,
const std::vector<int>& a_order, const std::vector<int>& b_order,
int32_t TM, int32_t TN, int32_t TK, size_t nwarp) {
std::vector<double> bench;
bool test = false;
switch(dtype){
case HALF: triton_dot<half_float::half>(stream, AT, BT, M, N, K, TM, TN, TK, nwarp, TEST, bench, test); break;
case FLOAT: triton_dot<float>(stream, AT, BT, M, N, K, TM, TN, TK, nwarp, TEST, bench, test); break;
case DOUBLE: triton_dot<double>(stream, AT, BT, M, N, K, TM, TN, TK, nwarp, TEST, bench, test); break;
case HALF: triton_dot<half_float::half>(stream, AT, BT, M, N, K, TM, TN, TK, nwarp, a_order, b_order, TEST, bench, test); break;
case FLOAT: triton_dot<float>(stream, AT, BT, M, N, K, TM, TN, TK, nwarp, a_order, b_order, TEST, bench, test); break;
case DOUBLE: triton_dot<double>(stream, AT, BT, M, N, K, TM, TN, TK, nwarp, a_order, b_order, TEST, bench, test); break;
default: break;
}
return test;

2
tests/unit/dot.cc
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@@ -25,7 +25,7 @@ int main() {
for(const auto& c: configs){
std::tie(dtype, AT, BT, M, N, K, TM, TN, TK, nwarp) = c;
std::cout << "Testing " << c << " ... " << std::flush;
if(test_dot(stream, dtype, AT, BT, M, N, K, TM, TN, TK, (size_t)nwarp))
if(test_dot(stream, dtype, AT, BT, M, N, K, {0, 1}, {0, 1}, TM, TN, TK, (size_t)nwarp))
std::cout << " Pass! " << std::endl;
else{
std::cout << " Fail! " << std::endl;