Files
pytorch/torch/csrc/jit/python_tracer.cpp
Peter Goldsborough 04939a4745 Match parameter names and = default (#9737)
Summary:
More clang tidy cleanups in `torch/csrc`. This time:

1. `hicpp-use-equals-default` recommends `= default` instead of `{}` for constructors/destructors. This is better practice because it expresses the intent better (https://stackoverflow.com/questions/6502828/what-does-default-mean-after-a-class-function-declaration)
2. `readability-inconsistent-declaration-parameter-name` enforces that parameter names in the declaration match parameter names in the definition. This is just generally useful and can prevent confusion and bugs.

Also updated my script a little bit.

apaszke ezyang
Pull Request resolved: https://github.com/pytorch/pytorch/pull/9737

Differential Revision: D9069069

Pulled By: goldsborough

fbshipit-source-id: f7b3f3a4eb4c9fadc30425a153566d3b613a41ae
2018-07-30 14:10:00 -07:00

156 lines
4.7 KiB
C++

#include "torch/csrc/python_headers.h"
#include "torch/csrc/jit/python_tracer.h"
#include "torch/csrc/jit/tracer.h"
#include "torch/csrc/jit/export.h"
#include "torch/csrc/jit/pybind.h"
#include "torch/csrc/utils/python_strings.h"
#include "torch/csrc/jit/passes/dead_code_elimination.h"
#include "ATen/Error.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;
PyThreadState *tstate = PyThreadState_GET();
if (NULL != tstate && NULL != tstate->frame) {
PyFrameObject *frame = tstate->frame;
while (NULL != 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();
}
// This is a temporary constructor so that we can write python tests of
// the executor. It does not have most of the functionality of CompiledFunction
// such as being able to hold parameters...
std::shared_ptr<torch::jit::Graph> createGraphByTracing(
py::function func,
tracer::variable_list trace_inputs,
size_t num_func_inputs) {
auto enter_info = tracer::enter(std::move(trace_inputs));
try {
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);
std::vector<autograd::Variable> outputs;
if(PyTuple_Check(out.ptr())) {
outputs = py::cast<std::vector<autograd::Variable>>(out);
} else {
outputs.push_back(py::cast<autograd::Variable>(out));
}
tracer::exit(outputs);
auto graph = enter_info.first->graph;
EliminateDeadCode(graph);
return graph;
} catch (...) {
tracer::abandon();
throw;
}
}
PreTraceInfo preRecordPythonTrace(THPObjectPtr pyobj,
std::string arg_types,
at::ArrayRef<Variable> inputs,
pyobj_list scalar_args) {
THPObjectPtr apply(PyObject_GetAttrString(pyobj.get(), "apply"));
if(!apply) {
throw python_error();
}
PreTraceInfo info;
auto & state = getTracingState();
auto & graph = state->graph;
Node *n = info.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 info;
}
void pythonRecordSourceLocation(Node* n) {
auto sl = std::make_shared<StringSourceLocation>(getPythonInterpreterStackTrace());
n->setSourceLocation(sl);
}
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_enter", [](variable_list trace_inputs) {
return tracer::enter(std::move(trace_inputs));
});
m.def("_tracer_exit", [](variable_list var_outputs) {
tracer::exit(var_outputs);
});
m.def("_tracer_abandon", []() {
tracer::abandon();
});
m.def("_get_tracing_state", []() {
return getTracingState();
});
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);
});
}
}}} // namespace torch::jit::tracing