pytorch

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#include <ATen/core/ivalue.h>
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#include <torch/csrc/jit/mobile/parse_operators.h>
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namespace torch {
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namespace jit {
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namespace mobile {
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void parseOperators(
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    c10::ivalue::TupleElements&& ops_list,
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    const uint64_t& module_load_options,
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    mobile::Function* function) {
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  for (auto& op : std::move(ops_list)) {
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    auto op_item = std::move(*std::move(op).toTuple()).elements();
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    TORCH_CHECK(
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        op_item.size() >= 2,
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        "There should be either two parts (name and overload name), ",
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        "or three parts (name, overload name and number of specified args) ",
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        "for an operator");
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    c10::optional<int> num_args;
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    if (op_item.size() > 2) {
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      num_args = op_item[2].toInt();
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    }
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    function->append_operator(
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        op_item[0].toStringRef(), op_item[1].toStringRef(), num_args);
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  }
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  function->initialize_operators(
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      (module_load_options & MobileModuleLoadOptions::OPERATOR_CHECK));
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}
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} // namespace mobile
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} // namespace jit
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} // namespace torch
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