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#include <torch/csrc/jit/codegen/cuda/instrumentation.h>
#include <torch/csrc/jit/codegen/cuda/python_frontend/fusion_cache.h>
#include <torch/csrc/jit/codegen/cuda/python_frontend/fusion_definition.h>
#include <torch/csrc/jit/codegen/cuda/python_frontend/fusion_interface.h>
#include <torch/csrc/jit/codegen/cuda/utils.h>
// Require namespace for perf scope instrumentation
using namespace torch::jit::fuser::cuda::inst;
namespace nvfuser {
const char* dtypeToPyString(Nvf::DataType t) {
switch (t) {
case Nvf::DataType::Bool:
return "DataType.Bool";
case Nvf::DataType::Double:
return "DataType.Double";
case Nvf::DataType::Float:
return "DataType.Float";
case Nvf::DataType::Half:
return "DataType.Half";
case Nvf::DataType::BFloat16:
return "DataType.Bfloat16";
case Nvf::DataType::Int:
return "DataType.Int";
case Nvf::DataType::Int32:
return "DataType.Int32";
case Nvf::DataType::ComplexFloat:
return "DataType.ComplexFloat";
case Nvf::DataType::ComplexDouble:
return "DataType.ComplexDouble";
case Nvf::DataType::Null:
return "DataType.Null";
default:
break;
}
TORCH_INTERNAL_ASSERT(false, "No string found for data type.");
return nullptr;
}
FusionDefinition::FusionDefinition(FusionInterface* fusion, size_t max_length)
: max_length_(max_length),
fusion_(fusion),
fusion_cache_(FusionCache::get()),
end_record_(new EndRecord()),
recording_(),
recording_state_(),
fusion_state_(),
ops(this) {}
void FusionDefinition::buildFusionIr() {
FUSER_PERF_SCOPE("FusionDefinition::buildFusionIr");
auto fusion_guard = fusionInterfacePtr()->guard();
fusion_state_.resize(recording_state_.size(), nullptr);
for (auto& record : recording_) {
auto functor = record.get();
(*functor)(*this);
}
}
FusionCache* FusionDefinition::fusionCachePtr() const {
TORCH_INTERNAL_ASSERT(
fusion_cache_ != nullptr, "FusionCache pointer is null!");
return fusion_cache_;
}
FusionInterface* FusionDefinition::fusionInterfacePtr() const {
TORCH_INTERNAL_ASSERT(fusion_ != nullptr, "FusionInterface pointer is null!");
return fusion_;
}
FusionDefinition* FusionDefinition::enter() {
TORCH_CHECK(max_length_ > 0, "Can't make a FusionDefinition with 0 records!");
TORCH_CHECK(
!fusionInterfacePtr()->defined(), "Fusion Interface is already defined!");
fusionCachePtr()->resetFusionCachePtr();
return this;
}
void FusionDefinition::exit() {
FUSER_PERF_SCOPE("FusionDefinition::exit");
auto cache_entry =
fusionCachePtr()->lookupFusionCacheEntry(end_record_.get());
if (!cache_entry.has_value()) {
if (Nvf::isDebugDumpEnabled(Nvf::DebugDumpOption::PythonFrontendDebug)) {
std::cout << "\nFusionDefinition: Terminal Node not found.\n";
}
auto fusion_id =
fusionCachePtr()->createFusionCacheEntry(end_record_.get());
TORCH_CHECK(fusion_id.has_value(), "Invalid fusion id!");
fusionInterfacePtr()->define(fusion_id.value());
fusionCachePtr()->traverseFusionCache(end_record_.get());
if (Nvf::isDebugDumpEnabled(Nvf::DebugDumpOption::PythonDefinition)) {
print(std::cout);
}
buildFusionIr();
if (Nvf::isDebugDumpEnabled(Nvf::DebugDumpOption::FusionIrPresched)) {
fusionInterfacePtr()->print();
}
} else {
if (Nvf::isDebugDumpEnabled(Nvf::DebugDumpOption::PythonFrontendDebug)) {
std::cout << "\nFusionDefinition: Terminal Node found!\n";
}
fusionInterfacePtr()->define(cache_entry.value()->fusion_id);
fusionCachePtr()->traverseFusionCache(end_record_.get());
}
}
void FusionDefinition::print(std::ostream& os) const {
os << "\ndef nvfuser_fusion_id" << fusion_->id();
os << "(fd : FusionDefinition) -> None :\n";
os << std::dec;
for (auto& rec : recording_) {
os << " ";
rec->print(os);
os << "\n";
}
os << "\n";
}
Scalar FusionDefinition::defineScalar() {
FUSER_PERF_SCOPE("FusionDefinition::defineScalar");
Scalar out(recording_state_.size());
recording_state_.emplace_back(out(), StateType::Scalar);
return out;
}
Tensor FusionDefinition::defineTensor() {
FUSER_PERF_SCOPE("FusionDefinition::defineTensor");
Tensor out(recording_state_.size());
recording_state_.emplace_back(out(), StateType::Tensor);
return out;
}
void FusionDefinition::defineRecord(RecordFunctor* record) {
FUSER_PERF_SCOPE("FusionDefinition::defineRecord");
TORCH_CHECK(
(recording_.size() + 1) <= max_length_,
"The fusion definition has exceeded ",
max_length_,
"operations. The max_length for FusionDefintion's might need to be ",
"increased if the definition is created as expected.");
recording_.emplace_back(record);
auto cache_entry =
fusionCachePtr()->lookupFusionCacheEntry(recording_.back().get());
// If the Record is found in the cache, the FusionDefinition and the Cache
// will not share Record given the Record had to be created in order to
// match it but it also already existed in the cache.
if (cache_entry.has_value()) {
if (Nvf::isDebugDumpEnabled(Nvf::DebugDumpOption::PythonFrontendDebug)) {
std::cout << "\nFusionDefinition: Record (hash: 0x" << std::hex
<< record->hash() << ") hit in Fusion Cache.\n";
}
// The FusionDefinition and the Cache will share the Record
} else {
if (Nvf::isDebugDumpEnabled(Nvf::DebugDumpOption::PythonFrontendDebug)) {
std::cout << "\nFusionDefinition: Record (hash: 0x" << std::hex
<< record->hash() << ") missed in Fusion Cache.\n";
}
fusionCachePtr()->createFusionCacheEntry(recording_.back().get());
}
fusionCachePtr()->traverseFusionCache(recording_.back().get());
}
void FusionDefinition::addInput(Nvf::Val* input) {
fusionInterfacePtr()->addInput(input);
}
void FusionDefinition::addOutput(Nvf::Val* output) {
fusionInterfacePtr()->addOutput(output);
}
Nvf::Val* FusionDefinition::getFusionState(size_t index) const {
return fusion_state_.at(index);
}
void FusionDefinition::setFusionState(size_t index, Nvf::Val* val) {
fusion_state_.at(index) = val;
}
State FusionDefinition::recordingState(size_t index) const {
return recording_state_.at(index);
}
} // namespace nvfuser
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