microsoft/onnxruntime-extensions
Publicmirrored fromhttps://github.com/microsoft/onnxruntime-extensionsAvailable
operators/math/negpos.hpp
62lines · modecode
| 1 | // Copyright (c) Microsoft Corporation. All rights reserved. |
| 2 | // Licensed under the MIT License. |
| 3 | |
| 4 | #pragma once |
| 5 | |
| 6 | #include "ocos.h" |
| 7 | |
| 8 | struct KernelNegPos : BaseKernel { |
| 9 | KernelNegPos(const OrtApi& api) : BaseKernel(api) { |
| 10 | } |
| 11 | |
| 12 | void Compute(OrtKernelContext* context){ |
| 13 | // Setup inputs |
| 14 | const OrtValue* input_X = ort_.KernelContext_GetInput(context, 0); |
| 15 | const float* X = ort_.GetTensorData<float>(input_X); |
| 16 | |
| 17 | // Setup output |
| 18 | OrtTensorDimensions dimensions(ort_, input_X); |
| 19 | |
| 20 | OrtValue* output0 = ort_.KernelContext_GetOutput(context, 0, dimensions.data(), dimensions.size()); |
| 21 | float* out0 = ort_.GetTensorMutableData<float>(output0); |
| 22 | OrtValue* output1 = ort_.KernelContext_GetOutput(context, 1, dimensions.data(), dimensions.size()); |
| 23 | float* out1 = ort_.GetTensorMutableData<float>(output1); |
| 24 | |
| 25 | OrtTensorTypeAndShapeInfo* output_info = ort_.GetTensorTypeAndShape(output0); |
| 26 | int64_t size = ort_.GetTensorShapeElementCount(output_info); |
| 27 | ort_.ReleaseTensorTypeAndShapeInfo(output_info); |
| 28 | |
| 29 | // Do computation |
| 30 | for (int64_t i = 0; i < size; i++) { |
| 31 | if (X[i] > 0) { |
| 32 | out0[i] = 0; |
| 33 | out1[i] = X[i]; |
| 34 | } else { |
| 35 | out0[i] = X[i]; |
| 36 | out1[i] = 0; |
| 37 | } |
| 38 | } |
| 39 | } |
| 40 | }; |
| 41 | |
| 42 | struct CustomOpNegPos : Ort::CustomOpBase<CustomOpNegPos, KernelNegPos> { |
| 43 | const char* GetName() const{ |
| 44 | return "NegPos"; |
| 45 | } |
| 46 | |
| 47 | size_t GetInputTypeCount() const{ |
| 48 | return 1; |
| 49 | } |
| 50 | |
| 51 | ONNXTensorElementDataType GetInputType(size_t /*index*/) const { |
| 52 | return ONNX_TENSOR_ELEMENT_DATA_TYPE_FLOAT; |
| 53 | } |
| 54 | |
| 55 | size_t GetOutputTypeCount() const{ |
| 56 | return 2; |
| 57 | } |
| 58 | |
| 59 | ONNXTensorElementDataType GetOutputType(size_t /*index*/) const { |
| 60 | return ONNX_TENSOR_ELEMENT_DATA_TYPE_FLOAT; |
| 61 | } |
| 62 | }; |
| 63 | |