microsoft/onnxruntime-extensions
Publicmirrored fromhttps://github.com/microsoft/onnxruntime-extensionsAvailable
pyop/pykernel.h
97lines · modecode
| 1 | // Copyright (c) Microsoft Corporation. All rights reserved. |
| 2 | // Licensed under the MIT License. |
| 3 | |
| 4 | #pragma once |
| 5 | |
| 6 | #include <vector> |
| 7 | #include <map> |
| 8 | #include "ocos.h" |
| 9 | |
| 10 | struct PyCustomOpDef { |
| 11 | std::string op_type; |
| 12 | uint64_t obj_id = 0; |
| 13 | std::vector<int> input_types; |
| 14 | std::vector<int> output_types; |
| 15 | std::vector<std::string> attrs; |
| 16 | |
| 17 | static void AddOp(const PyCustomOpDef* cod); |
| 18 | |
| 19 | // no initializer here to avoid gcc whole-archive |
| 20 | static const int undefined; |
| 21 | static const int dt_float; |
| 22 | static const int dt_uint8; |
| 23 | static const int dt_int8; |
| 24 | static const int dt_uint16; |
| 25 | static const int dt_int16; |
| 26 | static const int dt_int32; |
| 27 | static const int dt_int64; |
| 28 | static const int dt_string; |
| 29 | static const int dt_bool; |
| 30 | static const int dt_float16; |
| 31 | static const int dt_double; |
| 32 | static const int dt_uint32; |
| 33 | static const int dt_uint64; |
| 34 | static const int dt_complex64; |
| 35 | static const int dt_complex128; |
| 36 | static const int dt_bfloat16; |
| 37 | }; |
| 38 | |
| 39 | struct PyCustomOpKernel { |
| 40 | PyCustomOpKernel(const OrtApi& api, const OrtKernelInfo* info, uint64_t id, const std::vector<std::string>& attrs); |
| 41 | void Compute(OrtKernelContext* context); |
| 42 | |
| 43 | private: |
| 44 | const OrtApi& api_; |
| 45 | OrtW::CustomOpApi ort_; |
| 46 | uint64_t obj_id_; |
| 47 | std::map<std::string, std::string> attrs_values_; |
| 48 | }; |
| 49 | |
| 50 | struct PyCustomOpFactory : OrtW::CustomOpBase<PyCustomOpFactory, PyCustomOpKernel> { |
| 51 | PyCustomOpFactory() { |
| 52 | // STL vector needs it. |
| 53 | } |
| 54 | |
| 55 | PyCustomOpFactory(const PyCustomOpDef* opdef, const std::string& domain, const std::string& op) { |
| 56 | if (opdef == nullptr) |
| 57 | throw std::runtime_error("Python definition is empty."); |
| 58 | opdef_ = opdef; |
| 59 | op_domain_ = domain; |
| 60 | op_type_ = op; |
| 61 | } |
| 62 | |
| 63 | void* CreateKernel(const OrtApi& api, const OrtKernelInfo* info) const { |
| 64 | return CreateKernelImpl(api, info, opdef_->obj_id, opdef_->attrs); |
| 65 | }; |
| 66 | |
| 67 | const char* GetName() const { |
| 68 | return op_type_.c_str(); |
| 69 | }; |
| 70 | |
| 71 | size_t GetInputTypeCount() const { |
| 72 | return opdef_->input_types.size(); |
| 73 | }; |
| 74 | |
| 75 | ONNXTensorElementDataType GetInputType(size_t idx) const { |
| 76 | return static_cast<ONNXTensorElementDataType>(opdef_->input_types[idx]); |
| 77 | }; |
| 78 | |
| 79 | const std::vector<std::string>& GetAttributesNames() const { |
| 80 | return opdef_->attrs; |
| 81 | } |
| 82 | |
| 83 | size_t GetOutputTypeCount() const { |
| 84 | return opdef_->output_types.size(); |
| 85 | }; |
| 86 | |
| 87 | ONNXTensorElementDataType GetOutputType(size_t idx) const { |
| 88 | return static_cast<ONNXTensorElementDataType>(opdef_->output_types[idx]); |
| 89 | } |
| 90 | |
| 91 | const PyCustomOpDef* opdef_ = nullptr; |
| 92 | std::string op_type_; |
| 93 | std::string op_domain_; |
| 94 | }; |
| 95 | |
| 96 | |
| 97 | bool EnablePyCustomOps(bool enable = true); |
| 98 | |