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d5cdc36943
Pull Request resolved: https://github.com/pytorch/pytorch/pull/156320 Approved by: https://github.com/albanD ghstack dependencies: #156318
38 lines
1.1 KiB
C++
38 lines
1.1 KiB
C++
#pragma once
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#include <optional>
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#include <string>
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#include <unordered_map>
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#include <torch/csrc/Export.h>
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namespace torch::jit {
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struct Graph;
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struct Value;
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// \brief Parse IR from \p STR constructing the corresponding IR in\ GRAPH.
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// if parse_tensor_constants is true will construct empty tensors
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// for Tensor constants with random or uninitialized contents, otherwise will
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// throw
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TORCH_API void parseIR(
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const std::string& str,
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torch::jit::Graph* graph,
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bool parse_tensor_constants = false);
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/** \brief Parse IR from \p STR constructing the corresponding IR in\ GRAPH.
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*
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* \p VMAP is filled with String to Value pairs allowing to index Values in the
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* newly created graph by their name in the original IR string.
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* if parse_tensor_constants is true will construct empty tensors
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* for Tensor constants with random or uninitialized contents, otherwise will
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* throw
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*/
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TORCH_API void parseIR(
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const std::string& str,
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torch::jit::Graph* graph,
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std::unordered_map<std::string, Value*>& vmap,
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bool parse_tensor_constants = false);
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} // namespace torch::jit
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