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calculate_necessary_args.h
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calculate_necessary_args.h
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#pragma once
#include <torch/csrc/Export.h>
#include <torch/csrc/jit/frontend/schema_matching.h>
#include <cstddef>
namespace torch::jit {
// Calculates the number of args that need to be passed in.
// Less args may be needed if defaults are provided.
// Returns: {number args needed, number of out args}
inline std::pair<int64_t, int64_t> CalculateNecessaryArgs(
const std::vector<Argument>& schema_args,
at::ArrayRef<Value*> actual_inputs,
bool allow_trailing_out_args) {
if (schema_args.empty()) {
return std::make_pair(0, 0);
}
// count number of out arguments
int64_t schema_idx = static_cast<int64_t>(schema_args.size()) - 1;
if (allow_trailing_out_args) {
// skip over out arguments in the end.
while (schema_idx >= 0) {
const auto& current_arg = schema_args.at(schema_idx);
if (!current_arg.is_out()) {
break;
}
schema_idx--;
}
}
int64_t num_out = static_cast<int64_t>(schema_args.size()) - schema_idx - 1;
if (schema_args.size() < actual_inputs.size()) {
return std::make_pair(actual_inputs.size(), num_out);
}
// if it is the default args, we reset the index to the last element
if (!allow_trailing_out_args) {
schema_idx = schema_args.size() - 1;
}
// keeps track of trailing unnecessary args
while (schema_idx >= 0) {
// this means it is not default argument, so it is necessary
if (!schema_args.at(schema_idx).default_value().has_value()) {
return std::make_pair(schema_idx + 1, num_out);
} else {
auto schema_value =
schema_args.at(schema_idx).default_value().value().toIValue();
// non-const value will become nullptr here, so will be marked necessary
// non-const would include prim::ListConstruct, prim::DictConstruct as
// well.
auto actual_value = toIValue(actual_inputs[schema_idx]);
if (!actual_value.has_value()) {
return std::make_pair(schema_idx + 1, num_out);
}
// if the IR has same value as default value of the schema,
// it is not necessary argument.
if (schema_value != actual_value.value()) {
return std::make_pair(schema_idx + 1, num_out);
}
}
schema_idx--;
}
return std::make_pair(0, num_out);
}
} // namespace torch::jit