xref: /aosp_15_r20/external/pytorch/torch/csrc/jit/passes/onnx/constant_fold.h (revision da0073e96a02ea20f0ac840b70461e3646d07c45)
1 #pragma once
2 
3 #include <memory>
4 
5 #include <torch/csrc/jit/ir/ir.h>
6 #include <optional>
7 
8 namespace torch::jit {
9 
10 const int ONNX_OPSET_9 = 9;
11 const int ONNX_OPSET_10 = 10;
12 const int ONNX_OPSET_11 = 11;
13 const int ONNX_OPSET_12 = 12;
14 const int ONNX_OPSET_13 = 13;
15 const int ONNX_OPSET_14 = 14;
16 
17 namespace onnx_constant_fold {
18 
19 at::Tensor IntToTensor(int64_t value);
20 
21 std::optional<at::Tensor> runTorchBackendForOnnx(
22     const Node* node,
23     std::vector<at::Tensor>& inputTensorValues,
24     int opset_version);
25 } // namespace onnx_constant_fold
26 
27 void ConstantFoldONNX(
28     std::shared_ptr<Graph>& g,
29     std::map<std::string, IValue>& paramDict,
30     int opset_version);
31 
32 } // namespace torch::jit
33