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06df037d9a
ExportProxy was a mechanism to reuse the code that supported exporting autograd Functions to support overriding arbitrary python functions. However, it had some serious downsides - only works on some functions (all args must be Variable) - complicated - bad error messages in some cases Instead, just expose enough functionality to python to perform the necessary logic explicitly.
78 lines
2.6 KiB
C++
78 lines
2.6 KiB
C++
#include <Python.h>
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#include "torch/csrc/jit/python_tracer.h"
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#include "torch/csrc/jit/tracer.h"
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#include "torch/csrc/assertions.h"
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#include "torch/csrc/jit/export.h"
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#include "torch/csrc/jit/pybind.h"
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#include "torch/csrc/utils/python_strings.h"
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#include <sstream>
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using namespace torch::autograd;
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using namespace torch::jit;
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using namespace torch::jit::tracer;
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namespace torch { namespace jit {
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#define ASSERT_UNEXPIRED(METHOD_NAME) if (s.is_expired()) throw std::runtime_error("calling " METHOD_NAME " on an expired trace")
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void initPythonTracerBindings(PyObject* module_) {
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auto m = py::handle(module_).cast<py::module>();
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py::class_<TracingState,std::shared_ptr<TracingState>>(m, "TracingState", py::dynamic_attr())
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// NB: no constructor; you have to get it from C++ code
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.def("__repr__", [](const TracingState& s) {
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std::ostringstream ss;
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ss << "<TracingState " << (const void*)&s << ">";
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return ss.str();
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})
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.def("__str__", [](const TracingState& s) -> std::string {
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if (s.is_expired()) return "<expired TracingState>";
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std::ostringstream ss;
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ss << *s.graph;
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return ss.str();
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})
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.def("push_scope", [](TracingState& s, const std::string& scope_name) {
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ASSERT_UNEXPIRED("push_scope");
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s.push_scope(scope_name);
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})
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.def("pop_scope", [](TracingState& s) {
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ASSERT_UNEXPIRED("pop_scope");
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s.pop_scope();
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})
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.def("export", [](TracingState& s, const std::vector<at::Tensor>& initializers, int64_t onnx_opset_version) {
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ASSERT_UNEXPIRED("export");
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return py::bytes(ExportGraph(s.graph, initializers, onnx_opset_version));
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})
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.def("graph", [](TracingState& s) {
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return s.graph;
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})
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.def_property_readonly("is_expired", [](TracingState& s) {
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return s.is_expired();
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})
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.def_property_readonly("is_complete", [](TracingState& s) {
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return s.is_complete();
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});
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m.def("_tracer_enter", [](std::vector<TraceInput> trace_inputs, std::size_t num_backwards) {
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return enter(std::move(trace_inputs), num_backwards + 1);
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});
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m.def("_tracer_exit", [](variable_list var_outputs) {
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tracer::exit(var_outputs);
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});
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m.def("_get_tracing_state", [](const variable_list& vars) {
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return getTracingState(vars);
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});
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m.def("_get_value_trace", [](std::shared_ptr<TracingState>& state, const Variable& var) {
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return getValueTrace(state, var);
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});
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m.def("_set_value_trace", [](std::shared_ptr<TracingState>& state, const Variable& var, Value* value) {
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return setValueTrace(state, var, value);
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});
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m.def("_is_tracing", [](const variable_list& vars) {
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return isTracingVar(vars);
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});
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}
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}} // namespace torch::jit
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