blob: 110034ee4c4cfae67f73b2aae0d0a8b8004a9ad6 [file] [log] [blame]
#include <torch/csrc/python_headers.h>
#include <torch/csrc/jit/export.h>
#include <torch/csrc/jit/passes/dead_code_elimination.h>
#include <torch/csrc/jit/passes/inliner.h>
#include <torch/csrc/jit/passes/lower_tuples.h>
#include <torch/csrc/jit/pybind.h>
#include <torch/csrc/jit/python_tracer.h>
#include <torch/csrc/jit/tracer.h>
#include <torch/csrc/utils/python_strings.h>
#include <c10/util/Exception.h>
#include <sstream>
using namespace torch::autograd;
using namespace torch::jit;
using namespace torch::jit::tracer;
namespace torch {
namespace jit {
namespace tracer {
// Python interpreter retrieval routine adapted from
// https://stackoverflow.com/a/8706144
std::string getPythonInterpreterStackTrace() {
std::stringstream stack_trace;
AutoGIL gil;
PyFrameObject* frame = PyEval_GetFrame();
while (nullptr != frame) {
int line = PyCode_Addr2Line(frame->f_code, frame->f_lasti);
std::string filename = THPUtils_unpackString(frame->f_code->co_filename);
std::string funcname = THPUtils_unpackString(frame->f_code->co_name);
stack_trace << filename << "(" << line << "): " << funcname << "\n";
frame = frame->f_back;
}
return stack_trace.str();
}
std::shared_ptr<torch::jit::Graph> createGraphByTracing(
const py::function& func,
TypedStack trace_inputs,
const py::function& var_name_lookup_fn,
bool force_outplace,
const std::shared_ptr<script::Module>& self) {
C10_LOG_API_USAGE_ONCE("torch.tracer");
auto enter_info = tracer::enter(std::move(trace_inputs), self);
auto graph = enter_info.first->graph;
getTracingState()->lookup_var_name_fn =
[var_name_lookup_fn](const Variable& var) -> std::string {
AutoGIL ag;
return py::cast<std::string>(var_name_lookup_fn(var));
};
getTracingState()->force_outplace = force_outplace;
try {
size_t num_func_inputs = enter_info.second.size();
py::tuple py_inputs(num_func_inputs);
for (size_t i = 0; i < num_func_inputs; ++i) {
py_inputs[i] = py::cast(enter_info.second[i]);
}
auto out = func(*py_inputs);
if (out.ptr() == Py_None) {
AT_ERROR(
"The traced function didn't return any values! Side-effects are not "
"captured in traces, so it would be a no-op.");
}
tracer::exit({toIValue(out)});
Inline(*graph);
LowerSimpleTuples(graph);
EliminateDeadCode(graph);
return graph;
} catch (...) {
tracer::abandon();
throw;
}
}
Node* preRecordPythonTrace(
THPObjectPtr pyobj,
const std::string& arg_types,
at::ArrayRef<Variable> inputs,
pyobj_list scalar_args) {
THPObjectPtr apply(PyObject_GetAttrString(pyobj.get(), "apply"));
if (!apply) {
throw python_error();
}
auto& graph = getTracingState()->graph;
Node* n = graph->createPythonOp(
std::move(apply), arg_types, std::move(scalar_args));
recordSourceLocation(n);
for (const Variable& input : inputs) {
n->addInput(getValueTrace(input));
}
// NB: Order matters. This must append after inputs but before outputs.
graph->appendNode(n);
return n;
}
void pythonRecordSourceLocation(Node* n) {
n->setSourceRange(SourceRange(getPythonInterpreterStackTrace()));
}
void pythonWarn(const std::string& reason) {
AutoGIL gil;
auto warn_class = py::module::import("torch.jit").attr("TracerWarning");
PyErr_WarnEx(warn_class.ptr(), reason.c_str(), 1);
}
void initPythonTracerBindings(PyObject* module) {
setRecordSourceLocation(pythonRecordSourceLocation);
auto m = py::handle(module).cast<py::module>();
py::class_<TracingState, std::shared_ptr<TracingState>>(
m, "TracingState", py::dynamic_attr())
// NB: no constructor; you have to get it from C++ code
.def(
"__repr__",
[](const TracingState& s) {
std::ostringstream ss;
ss << "<TracingState " << (const void*)&s << ">";
return ss.str();
})
.def(
"__str__",
[](const TracingState& s) -> std::string {
std::ostringstream ss;
ss << *s.graph;
return ss.str();
})
.def(
"push_scope",
[](TracingState& s, const std::string& scope_name) {
s.graph->push_scope(scope_name);
})
.def("pop_scope", [](TracingState& s) { s.graph->pop_scope(); })
.def(
"set_graph",
[](TracingState& s, std::shared_ptr<Graph> g) { s.graph = g; })
.def("graph", [](TracingState& s) { return s.graph; });
m.def("_tracer_warn_use_python", []() { tracer::setWarn(pythonWarn); });
m.def("_tracer_enter", [](py::args trace_inputs) {
return tracer::enter(toTypedStack(trace_inputs));
});
m.def("_tracer_exit", [](py::tuple var_outputs) {
tracer::exit(toStack(var_outputs));
});
m.def("_tracer_abandon", []() { tracer::abandon(); });
m.def("_get_tracing_state", []() { return getTracingState(); });
m.def("_set_tracing_state", [](std::shared_ptr<TracingState> state) {
return setTracingState(state);
});
m.def("_get_value_trace", [](const Variable& var) {
return getValueTrace(var);
});
m.def("_set_value_trace", [](const Variable& var, Value* value) {
return setValueTrace(var, value);
});
m.def("_tracer_set_get_unique_name_fn", [](py::function func) {
const auto& tracing_state = getTracingState();
AT_ASSERT(tracing_state);
tracing_state->lookup_var_name_fn =
[func](const Variable& var) -> std::string {
AutoGIL ag;
return py::cast<std::string>(func(var));
};
});
m.def("_tracer_set_force_outplace", [](bool force_outplace) {
const auto& tracing_state = getTracingState();
AT_ASSERT(tracing_state);
tracing_state->force_outplace = force_outplace;
});
}
} // namespace tracer
} // namespace jit
} // namespace torch