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python_anomaly_mode.cpp
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python_anomaly_mode.cpp
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#include <c10/util/Exception.h>
#include <pybind11/pybind11.h>
#include <torch/csrc/Exceptions.h>
#include <torch/csrc/autograd/python_anomaly_mode.h>
#include <torch/csrc/autograd/python_cpp_function.h>
#include <torch/csrc/python_headers.h>
#include <torch/csrc/utils/auto_gil.h>
#include <torch/csrc/utils/object_ptr.h>
#include <torch/csrc/utils/pybind.h>
#include <torch/csrc/utils/python_strings.h>
#include <iostream>
namespace torch {
namespace autograd {
void PyAnomalyMetadata::store_stack() {
pybind11::gil_scoped_acquire gil;
THPObjectPtr mod(PyImport_ImportModule("torch.fx.traceback"));
if (!mod) {
throw python_error();
}
THPObjectPtr list(PyObject_CallMethod(mod.get(), "format_stack", ""));
if (!list) {
throw python_error();
}
if (PyDict_SetItemString(dict(), ANOMALY_TRACE_KEY, list.get())) {
throw python_error();
}
}
void PyAnomalyMetadata::print_stack(const std::string& current_node_name) {
pybind11::gil_scoped_acquire gil;
if (!PyDict_Check(dict())) {
throw std::runtime_error("Anomaly metadata is not a python dictionary.");
}
PyObject* trace_stack = PyDict_GetItemString(dict(), ANOMALY_TRACE_KEY);
_print_stack(trace_stack, current_node_name, false);
PyObject* pyparent(PyDict_GetItemString(dict(), ANOMALY_PARENT_KEY));
// if there is no "parent_" in metadata, then it means this metadata's node
// is the root and stop printing the traceback
while (pyparent) {
THPObjectPtr parent_metadata(PyObject_GetAttrString(pyparent, "metadata"));
if (!parent_metadata) {
throw python_error();
}
THPObjectPtr parent_name_pyobj(PyObject_CallMethod(pyparent, "name", ""));
if (!parent_name_pyobj) {
throw python_error();
}
const char* parent_name_char = PyUnicode_AsUTF8(parent_name_pyobj.get());
if (!parent_name_char) {
throw python_error();
}
const std::string parent_name(parent_name_char);
PyObject* parent_stack =
PyDict_GetItemString(parent_metadata.get(), ANOMALY_TRACE_KEY);
_print_stack(parent_stack, parent_name, true);
// get the parent of this node, if this node is a root, pyparent is simply
// null
pyparent = PyDict_GetItemString(parent_metadata.get(), ANOMALY_PARENT_KEY);
}
}
void PyAnomalyMetadata::assign_parent(
const std::shared_ptr<Node>& parent_node) {
// assign the python object of parent_node in metadata["parent_"]
// if parent_node is nullptr, then do nothing (it can mean that "parent_" key
// is not in metadata)
pybind11::gil_scoped_acquire gil;
if (!parent_node)
return;
THPObjectPtr parent_node_(functionToPyObject(parent_node));
if (!parent_node_) {
throw python_error();
}
if (PyDict_SetItemString(dict(), ANOMALY_PARENT_KEY, parent_node_.get())) {
throw python_error();
}
}
void _print_stack(
PyObject* stack,
const std::string& current_node_name,
bool is_parent) {
if (!stack) {
TORCH_WARN(
"Error detected in ",
current_node_name,
". ",
"No forward pass information available. Enable detect anomaly "
"during forward pass for more information.");
return;
}
THPObjectPtr empty_string(PyUnicode_FromString(""));
if (!empty_string) {
throw python_error();
}
// stack is a list of Python strings ending with newlines. Use join to convert
// to a single string.
THPObjectPtr msg(PyUnicode_Join(empty_string, stack));
if (!msg) {
throw python_error();
}
if (!is_parent) {
TORCH_WARN(
"Error detected in ",
current_node_name,
". ",
"Traceback of forward call that caused the error:\n",
THPUtils_unpackString(msg.get()));
} else {
TORCH_WARN(
"\n\n",
"Previous calculation was induced by ",
current_node_name,
". "
"Traceback of forward call that induced the previous calculation:\n",
THPUtils_unpackString(msg.get()));
}
}
} // namespace autograd
} // namespace torch