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changed auto-tuner parameter ranges

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This commit is contained in:
Philippe Tillet
2019-06-25 19:27:49 -07:00
parent d945ce5e1b
commit 25e9a10917
2 changed files with 7 additions and 7 deletions
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6
examples/python/tensorflow/dot.cpp
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@@ -69,14 +69,14 @@ class BlockSparseGemmOp : public OpKernel {
[&](){ stream->synchronize(); }, ctx->device()); [&](){ stream->synchronize(); }, ctx->device());
return 2.*M*N*K / ts * 1e-3; return 2.*M*N*K / ts * 1e-3;
}; };
std::string src = triton::dnn::gemm::src(false, false, "fp16", "fp16", 1, 1); std::string src = triton::dnn::gemm::src(false, true, "fp16", "fp16", 1, 1);
// just-in-time compile source-code // just-in-time compile source-code
// jit.autotune("matmul", src.c_str(), benchmark); jit.autotune("matmul", src.c_str(), benchmark);
// jit.add_module("matmul", src.c_str(), {4, 2, 8, 4, 2, 32, 1, 4, 1, 1, 8, 8, 8, 1}); // jit.add_module("matmul", src.c_str(), {4, 2, 8, 4, 2, 32, 1, 4, 1, 1, 8, 8, 8, 1});
// jit.add_module("matmul", src.c_str(), {16, 4, 128, 16, 4, 128, 2, 2, 2, 2, 8, 32, 8, 1}); // jit.add_module("matmul", src.c_str(), {16, 4, 128, 16, 4, 128, 2, 2, 2, 2, 8, 32, 8, 1});
// jit.add_module("matmul", src.c_str(), {8, 8, 128, 16, 8, 128, 2, 2, 2, 2, 16, 32, 8, 1 }); // jit.add_module("matmul", src.c_str(), {8, 8, 128, 16, 8, 128, 2, 2, 2, 2, 16, 32, 8, 1 });
// jit.add_module("matmul", src.c_str(), {16, 4, 128, 16, 4, 128, 2, 2, 2, 2, 8, 16, 8, 1}); // jit.add_module("matmul", src.c_str(), {16, 4, 128, 16, 4, 128, 2, 2, 2, 2, 8, 16, 8, 1});
// jit.add_module("matmul", src.c_str(), {16, 2, 128, 32, 32, 2, 2, 2, 2, 8, 8, 4, 2, 1}); //NN jit.add_module("matmul", src.c_str(), {16, 2, 128, 32, 32, 2, 2, 2, 2, 8, 8, 4, 2, 1}); //NN
triton::driver::kernel* kernel = jit.get_function("matmul"); triton::driver::kernel* kernel = jit.get_function("matmul");
triton::jit::launch_information info = jit.get_launch_info("matmul"); triton::jit::launch_information info = jit.get_launch_info("matmul");
std::cout << benchmark(kernel, info) << std::endl;; std::cout << benchmark(kernel, info) << std::endl;;

8
lib/codegen/tune.cpp
View File

@@ -166,7 +166,7 @@ std::vector<ir::metaparameter *> tune::get_params(ir::module &mod) {
for(ir::instruction *i : block->get_inst_list()) for(ir::instruction *i : block->get_inst_list())
for(auto &x: params_[i]) for(auto &x: params_[i])
if(seen.insert(x.second).second && !x.second->has_value()){ if(seen.insert(x.second).second && !x.second->has_value()){
std::cout << i->get_name() << " " << x.first << std::endl; // std::cout << i->get_name() << " " << x.first << std::endl;
result.push_back(x.second); result.push_back(x.second);
} }
@@ -233,13 +233,13 @@ void tune::run(ir::module &mod) {
continue; continue;
if(dynamic_cast<ir::load_inst*>(i) && i->get_type()->is_tile_ty()){ if(dynamic_cast<ir::load_inst*>(i) && i->get_type()->is_tile_ty()){
ir::type *ty = mod.get_builder().get_int32_ty(); ir::type *ty = mod.get_builder().get_int32_ty();
std::unique_ptr<ir::metaparameter> tmp(ir::metaparameter::create(ctx, ty, 4, 4)); std::unique_ptr<ir::metaparameter> tmp(ir::metaparameter::create(ctx, ty, 2, 4));
*params_.at(i).at("nts.d0") = *tmp; *params_.at(i).at("nts.d0") = *tmp;
} }
if(dynamic_cast<ir::dot_inst*>(i) && i->get_type()->is_tile_ty()){ if(dynamic_cast<ir::dot_inst*>(i) && i->get_type()->is_tile_ty()){
ir::type *ty = mod.get_builder().get_int32_ty(); ir::type *ty = mod.get_builder().get_int32_ty();
std::unique_ptr<ir::metaparameter> tmp1(ir::metaparameter::create(ctx, ty, 4, 4)); std::unique_ptr<ir::metaparameter> tmp1(ir::metaparameter::create(ctx, ty, 2, 4));
std::unique_ptr<ir::metaparameter> tmp2(ir::metaparameter::create(ctx, ty, 4, 4)); std::unique_ptr<ir::metaparameter> tmp2(ir::metaparameter::create(ctx, ty, 2, 4));
*params_.at(i).at("nts.d0") = *tmp1; *params_.at(i).at("nts.d0") = *tmp1;
*params_.at(i).at("nts.d1") = *tmp2; *params_.at(i).at("nts.d1") = *tmp2;
} }