text stringlengths 0 2.2M |
|---|
#define REQUIRE_STRING_ARG(name) \
|
if (FLAGS_##name.empty()) { \
|
std::cerr << "You must specify the flag --" #name "\n"; \
|
return 1; \
|
}
|
#define REQUIRE_INT_ARG(name) \
|
if (FLAGS_##name == -1) { \
|
std::cerr << "You must specify the flag --" #name "\n"; \
|
return 1; \
|
}
|
void printOpYAML(
|
std::ostream& out,
|
int indent,
|
const std::string& op_name,
|
bool is_used_for_training,
|
bool is_root_operator,
|
bool include_all_overloads) {
|
out << std::string(indent, ' ') << op_name << ":" << std::endl;
|
out << std::string(indent + 2, ' ')
|
<< "is_used_for_training: " << (is_used_for_training ? "true" : "false")
|
<< std::endl;
|
out << std::string(indent + 2, ' ')
|
<< "is_root_operator: " << (is_root_operator ? "true" : "false")
|
<< std::endl;
|
out << std::string(indent + 2, ' ')
|
<< "include_all_overloads: " << (include_all_overloads ? "true" : "false")
|
<< std::endl;
|
}
|
void printOpsYAML(
|
std::ostream& out,
|
const std::set<std::string>& operator_list,
|
bool is_used_for_training,
|
bool is_root_operator,
|
bool include_all_overloads) {
|
for (auto& it : operator_list) {
|
printOpYAML(out, 2, it, false, is_root_operator, false);
|
}
|
}
|
/**
|
* Converts a pytorch model (full/lite) to lite interpreter model for
|
* mobile, and additionally writes out a list of root and called
|
* operators.
|
*/
|
int main(int argc, char* argv[]) {
|
if (!c10::ParseCommandLineFlags(&argc, &argv)) {
|
std::cerr << "Failed to parse command line flags!" << std::endl;
|
return 1;
|
}
|
REQUIRE_STRING_ARG(model_input_path);
|
REQUIRE_STRING_ARG(build_yaml_path);
|
const std::string input_module_path = FLAGS_model_input_path;
|
std::ofstream yaml_out(FLAGS_build_yaml_path);
|
std::cout << "Processing: " << input_module_path << std::endl;
|
std::cout << "Output: " << FLAGS_build_yaml_path << std::endl;
|
torch::jit::mobile::TracerResult tracer_result;
|
try {
|
tracer_result = torch::jit::mobile::trace_run(FLAGS_model_input_path);
|
} catch (std::exception& ex) {
|
std::cerr
|
<< "ModelTracer has not been able to load the module for the following reasons:\n"
|
<< ex.what()
|
<< "\nPlease consider posting to the PyTorch with the error message."
|
<< std::endl;
|
throw ex;
|
}
|
if (tracer_result.traced_operators.size() <=
|
torch::jit::mobile::always_included_traced_ops.size()) {
|
std::cerr
|
<< c10::str(
|
"Error traced_operators size: ",
|
tracer_result.traced_operators.size(),
|
". Expected the traced operator list to be bigger then the default size ",
|
torch::jit::mobile::always_included_traced_ops.size(),
|
". Please report a bug in PyTorch.")
|
<< std::endl;
|
}
|
// If the op exist in both traced_ops and root_ops, leave it in root_ops only
|
for (const auto& root_op : tracer_result.root_ops) {
|
if (tracer_result.traced_operators.find(root_op) !=
|
tracer_result.traced_operators.end()) {
|
tracer_result.traced_operators.erase(root_op);
|
}
|
}
|
yaml_out << "include_all_non_op_selectives: true" << std::endl;
|
yaml_out << "operators:" << std::endl;
|
printOpsYAML(
|
yaml_out,
|
tracer_result.root_ops,
|
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.