pytorch/torch/csrc/jit/mobile/interpreter.cpp
Martin Yuan ccf4d69b75 [Lite Interpreter] Enable __setstate__ (#33294)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/33294

1. Serialize bytecode of __setstate__ and run it when loading the model.
2. One use case is quantization. To test this use case a few operators are registered temporarily for lite interpreter. The "_" prefix registration will be removed when the operators are all migrated to mobile.

Test Plan: Imported from OSS

Differential Revision: D20162898

Pulled By: iseeyuan

fbshipit-source-id: 7a3180807bf38fbce594d86993896861f12bb58c
2020-03-05 15:24:21 -08:00

161 lines
4.5 KiB
C++

#include "interpreter.h"
#include <torch/csrc/jit/mobile/function.h>
#include <ATen/core/operator_name.h>
#include <torch/csrc/jit/runtime/vararg_functions.h>
#if defined(PYTORCH_MOBILE_OPERATOR_OBSERVER)
#include <torch/csrc/autograd/record_function.h>
#include <torch/csrc/jit/mobile/observer.h>
#endif
namespace torch{
namespace jit{
char const * toString(OpCode op);
std::ostream& operator<<(std::ostream& out, Instruction inst);
namespace mobile {
InterpreterState::InterpreterState(std::shared_ptr<Code> code) : code_(std::move(code)) {
registers_.resize(code_->register_size_);
}
bool InterpreterState::run(Stack& stack) {
size_t pc = 0;
while (true) {
Instruction inst = code_->instructions_[pc];
// std::cout << "RUNNING " << pc << " " << code_->instructions_[pc];
// if (inst.op == OP) {
// std::cout << ", " << code_->op_names_[inst.X].name << "." <<
// code_->op_names_[inst.X].overload_name;
// }
// std::cout << std::endl;
// for (auto val : stack) {
// if (val.isTensor()) {
// std::cout << val.toTensor().sizes() << std::endl;
// } else {
// std::cout << val << std::endl;
// }
// }
switch (inst.op) {
case OP: {
#if defined(PYTORCH_MOBILE_OPERATOR_OBSERVER)
if (auto debug_info = at::getThreadLocalDebugInfo()) {
if (auto* mobile_debug_info = dynamic_cast<MobileDebugInfo*>(
debug_info.get())) {
mobile_debug_info->setOpIdx(pc);
}
}
RECORD_FUNCTION(code_->op_names_[inst.X].name, stack);
#endif
code_->operators_[inst.X](stack);
++pc;
} break;
case OPN: {
stack.push_back(inst.N);
code_->operators_[inst.X](stack);
++pc;
} break;
case LOAD:
stack.emplace_back(reg(inst.X));
++pc;
break;
case MOVE:
stack.emplace_back(std::move(reg(inst.X)));
++pc;
break;
case STORE:
reg(inst.X) = pop(stack);
++pc;
break;
case STOREN:
for (size_t i = inst.N; i > 0; --i) {
reg(inst.X + i - 1) = pop(stack);
}
++pc;
break;
case DROP:
pop(stack);
++pc;
break;
case DROPR:
reg(inst.X) = IValue();
++pc;
break;
case LOADC:
stack.emplace_back(code_->constants_[inst.X]);
++pc;
break;
case GET_ATTR: {
auto userObj = pop(stack).toObject();
auto value = userObj->getSlot(inst.X);
push(stack, std::move(value));
++pc;
} break;
case SET_ATTR: {
auto v = pop(stack);
auto userObj = pop(stack).toObject();
// Mobile only: since the number of slots is not known, resize the numAttributes
// before setSlot.
while (userObj->type()->numAttributes() <= inst.X) {
std::stringstream ss;
ss << userObj->type()->numAttributes();
userObj->type()->addAttribute(ss.str(), c10::NoneType::create());
}
userObj->setSlot(inst.X, std::move(v));
++pc;
} break;
case JF:
pc += (pop(stack).toBool()) ? 1 : inst.X;
break;
case JMP:
pc += inst.X;
break;
case LOOP: {
// stack: iteration_count, max_iter, cond, loop_carried_deps...
auto frame = stack.end() - (inst.N + 1);
int64_t trip_count = frame[0].toInt();
int64_t max_trip_count = frame[1].toInt();
bool cond = frame[2].toBool();
if (trip_count < max_trip_count && cond) {
frame[2] = trip_count;
frame[0] = trip_count + 1;
++pc;
} else {
size_t n_loop_carried = inst.N - 2;
for (size_t i = 0; i < n_loop_carried; ++i) {
frame[i] = std::move(frame[i + 3]);
}
drop(stack, 3); // iteration_count, max_iter, cond
pc += inst.X;
}
} break;
case RET:
return false;
case LIST_CONSTRUCT: {
auto type = code_->types_[inst.X]->expect<at::ListType>();
listConstruct(stack, type, inst.N);
++pc;
} break;
case TUPLE_CONSTRUCT: {
tupleConstruct(stack, inst.X);
++pc;
} break;
case WARN: {
drop(stack, 1);
AT_WARN(pop(stack).toStringRef());
++pc;
} break;
default:
AT_ERROR(toString(inst.op), " is invalid.");
}
}
return false;
}
IValue& InterpreterState::reg(size_t reg) {
return *(registers_.end() - reg);
}
} // namespace mobile
} // namespace torch
} // namespace jit