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19ab5381c3
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/27104 * The use case here is to replace prim::ListConstruct, which requires Node, but Node is not available in mobile lite interpreter. * (OPN, X, N), X is the index to the vararg operator-name and operator tables. N is number of inputs. For ListConstruct example, operator name can be "aten::listconstruct" and the overloaded name is the output type ("int", "float", "bool", "tensor" and "generic"). * A vararg operator table is built with void(int input_size, Stack& stack) functions. ## Unit test LiteInterpreterConv covers OPN instruction and conv operator. Test Plan: Imported from OSS Differential Revision: D17762853 fbshipit-source-id: 475aa0c6678e3760cec805862a78510913a89c83
37 lines
967 B
C++
37 lines
967 B
C++
#pragma once
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#include <aten/src/ATen/core/ivalue.h>
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//#include <aten/src/Aten/core/operator_name.h>
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#include <vector>
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namespace torch{
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namespace jit{
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using Stack = std::vector<c10::IValue>;
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enum OpCode : uint8_t;
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namespace mobile {
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struct Code;
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class Function{
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public:
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Function(c10::QualifiedName name);
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bool run(Stack& stack) const;
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const std::string& name() const;
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const c10::QualifiedName& qualname() const;
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void append_instruction(OpCode op, int X, int N);
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void append_operator(const std::string& name,
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const std::string& overload_name);
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void append_vararg_operator(const std::string& name,
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const std::string& overload_name);
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void build_vararg_operator_table();
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void append_constant(const c10::IValue& constant);
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void set_register_size(size_t size);
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private:
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c10::QualifiedName name_;
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std::shared_ptr<Code> code_;
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};
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} // namespace mobile
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} // namespace torch
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} // namespace jit
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