microsoft/onnxruntime-extensions
Publicmirrored fromhttps://github.com/microsoft/onnxruntime-extensionsAvailable
operators/math/segement_extraction.cc
61lines · modecode
| 1 | // Copyright (c) Microsoft Corporation. All rights reserved. |
| 2 | // Licensed under the MIT License. |
| 3 | |
| 4 | #include "segment_extraction.hpp" |
| 5 | |
| 6 | KernelSegmentExtraction::KernelSegmentExtraction(const OrtApi& api, const OrtKernelInfo& info) |
| 7 | : BaseKernel(api, info) { |
| 8 | } |
| 9 | |
| 10 | void KernelSegmentExtraction::Compute(OrtKernelContext* context) { |
| 11 | const OrtValue* input = ort_.KernelContext_GetInput(context, 0); |
| 12 | const int64_t* p_data = ort_.GetTensorData<int64_t>(input); |
| 13 | OrtTensorDimensions input_dim(ort_, input); |
| 14 | if (!((input_dim.size() == 1) || (input_dim.size() == 2 && input_dim[0] == 1))) { |
| 15 | ORTX_CXX_API_THROW("[SegmentExtraction]: Expect input dimension [n] or [1,n].", ORT_INVALID_GRAPH); |
| 16 | } |
| 17 | |
| 18 | std::vector<std::int64_t> segment_value; |
| 19 | std::vector<std::int64_t> segment_position; |
| 20 | for (std::int64_t i = 0; i < input_dim.Size(); i++) { |
| 21 | if (!p_data[i]) { |
| 22 | continue; |
| 23 | } |
| 24 | |
| 25 | // push start position and value |
| 26 | if (i == 0 || p_data[i - 1] != p_data[i]) { |
| 27 | segment_value.push_back(p_data[i]); |
| 28 | segment_position.push_back(i); |
| 29 | } |
| 30 | |
| 31 | // push end position |
| 32 | if (i == (input_dim.Size() - 1) || p_data[i + 1] != p_data[i]) { |
| 33 | segment_position.push_back(i + 1); |
| 34 | } |
| 35 | } |
| 36 | |
| 37 | std::vector<int64_t> segment_value_dim({static_cast<int64_t>(segment_value.size())}); |
| 38 | std::vector<int64_t> segment_position_dim({static_cast<int64_t>(segment_value.size()), 2}); |
| 39 | SetOutput(context, 0, segment_position_dim, segment_position); |
| 40 | SetOutput(context, 1, segment_value_dim, segment_value); |
| 41 | } |
| 42 | |
| 43 | size_t CustomOpSegmentExtraction::GetInputTypeCount() const { |
| 44 | return 1; |
| 45 | }; |
| 46 | |
| 47 | size_t CustomOpSegmentExtraction::GetOutputTypeCount() const { |
| 48 | return 2; |
| 49 | }; |
| 50 | |
| 51 | ONNXTensorElementDataType CustomOpSegmentExtraction::GetOutputType(size_t /*index*/) const { |
| 52 | return ONNX_TENSOR_ELEMENT_DATA_TYPE_INT64; |
| 53 | }; |
| 54 | |
| 55 | const char* CustomOpSegmentExtraction::GetName() const { |
| 56 | return "SegmentExtraction"; |
| 57 | }; |
| 58 | |
| 59 | ONNXTensorElementDataType CustomOpSegmentExtraction::GetInputType(size_t /*index*/) const { |
| 60 | return ONNX_TENSOR_ELEMENT_DATA_TYPE_INT64; |
| 61 | }; |
| 62 | |