onnxruntime/js/react_native/ios/TensorHelper.h
Rachel Guo 04dbdc96bf
[js/rn] Fix React Native CI pipeline E2E test (#16447)
### Description
<!-- Describe your changes. -->

Based on this kindly provided quick fix:
https://github.com/microsoft/onnxruntime/pull/16411

See more description in the above linked pr about bumping AGP version,
etc.

Also fixed import header file path in detox e2e test.

### Motivation and Context
<!-- - Why is this change required? What problem does it solve?
- If it fixes an open issue, please link to the issue here. -->

Good build:

https://dev.azure.com/onnxruntime/onnxruntime/_build/results?buildId=1041757&view=logs&j=de302ec2-2305-57e0-e8c6-cd89c569f2a3&t=9894c870-b8ce-548d-51ff-8f44d21a4117&l=18
2023-06-22 14:33:49 -07:00

57 lines
2.4 KiB
Objective-C

// Copyright (c) Microsoft Corporation. All rights reserved.
// Licensed under the MIT License.
#ifndef TensorHelper_h
#define TensorHelper_h
#import <Foundation/Foundation.h>
#import <React/RCTBlobManager.h>
// Note: Using below syntax for including ort c api and ort extensions headers to resolve a compiling error happened
// in an expo react native ios app (a redefinition error happened with multiple object types defined within
// ORT C API header). It's an edge case that the compiler allows both ort c api headers to be included when #include
// syntax doesn't match. For the case when extensions not enabled, it still requires a onnxruntime prefix directory for
// searching paths. Also in general, it's a convention to use #include for C/C++ headers rather then #import. See:
// https://google.github.io/styleguide/objcguide.html#import-and-include
// https://microsoft.github.io/objc-guide/Headers/ImportAndInclude.html
#ifdef ORT_ENABLE_EXTENSIONS
#include "onnxruntime_cxx_api.h"
#else
#include <onnxruntime/onnxruntime_cxx_api.h>
#endif
@interface TensorHelper : NSObject
/**
* Supported tensor data type
*/
FOUNDATION_EXPORT NSString* const JsTensorTypeBool;
FOUNDATION_EXPORT NSString* const JsTensorTypeUnsignedByte;
FOUNDATION_EXPORT NSString* const JsTensorTypeByte;
FOUNDATION_EXPORT NSString* const JsTensorTypeShort;
FOUNDATION_EXPORT NSString* const JsTensorTypeInt;
FOUNDATION_EXPORT NSString* const JsTensorTypeLong;
FOUNDATION_EXPORT NSString* const JsTensorTypeFloat;
FOUNDATION_EXPORT NSString* const JsTensorTypeDouble;
FOUNDATION_EXPORT NSString* const JsTensorTypeString;
/**
* It creates an input tensor from a map passed by react native js.
* 'data' is blob object and the buffer is stored in RCTBlobManager. It first resolve it and creates a tensor.
*/
+(Ort::Value)createInputTensor:(RCTBlobManager *)blobManager
input:(NSDictionary*)input
ortAllocator:(OrtAllocator*)ortAllocator
allocations:(std::vector<Ort::MemoryAllocation>&)allocations;
/**
* It creates an output map from an output tensor.
* a data array is store in RCTBlobManager.
*/
+(NSDictionary*)createOutputTensor:(RCTBlobManager *)blobManager
outputNames:(const std::vector<const char*>&)outputNames
values:(const std::vector<Ort::Value>&)values;
@end
#endif /* TensorHelper_h */