mirror of
https://github.com/saymrwulf/onnxruntime.git
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### Description
See
454996d496
for manual changes (excluded auto-generated formatting changes)
### Why
Because the toolsets for old clang-format is out-of-date. This reduces
the development efficiency.
- The NPM package `clang-format` is already in maintenance mode. not
updated since 2 years ago.
- The VSCode extension for clang-format is not maintained for a while,
and a recent Node.js security update made it not working at all in
Windows.
No one in community seems interested in fixing those.
Choose Prettier as it is the most popular TS/JS formatter.
### How to merge
It's easy to break the build:
- Be careful of any new commits on main not included in this PR.
- Be careful that after this PR is merged, other PRs that already passed
CI can merge.
So, make sure there is no new commits before merging this one, and
invalidate js PRs that already passed CI, force them to merge to latest.
57 lines
2.4 KiB
Objective-C
57 lines
2.4 KiB
Objective-C
// Copyright (c) Microsoft Corporation. All rights reserved.
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// Licensed under the MIT License.
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#ifndef TensorHelper_h
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#define TensorHelper_h
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#import <Foundation/Foundation.h>
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#import <React/RCTBlobManager.h>
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// Note: Using below syntax for including ort c api and ort extensions headers to resolve a compiling error happened
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// in an expo react native ios app (a redefinition error happened with multiple object types defined within
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// ORT C API header). It's an edge case that the compiler allows both ort c api headers to be included when #include
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// syntax doesn't match. For the case when extensions not enabled, it still requires a onnxruntime prefix directory for
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// searching paths. Also in general, it's a convention to use #include for C/C++ headers rather then #import. See:
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// https://google.github.io/styleguide/objcguide.html#import-and-include
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// https://microsoft.github.io/objc-guide/Headers/ImportAndInclude.html
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#ifdef ORT_ENABLE_EXTENSIONS
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#include "onnxruntime_cxx_api.h"
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#else
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#include <onnxruntime/onnxruntime_cxx_api.h>
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#endif
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@interface TensorHelper : NSObject
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/**
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* Supported tensor data type
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*/
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FOUNDATION_EXPORT NSString* const JsTensorTypeBool;
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FOUNDATION_EXPORT NSString* const JsTensorTypeUnsignedByte;
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FOUNDATION_EXPORT NSString* const JsTensorTypeByte;
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FOUNDATION_EXPORT NSString* const JsTensorTypeShort;
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FOUNDATION_EXPORT NSString* const JsTensorTypeInt;
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FOUNDATION_EXPORT NSString* const JsTensorTypeLong;
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FOUNDATION_EXPORT NSString* const JsTensorTypeFloat;
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FOUNDATION_EXPORT NSString* const JsTensorTypeDouble;
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FOUNDATION_EXPORT NSString* const JsTensorTypeString;
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/**
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* It creates an input tensor from a map passed by react native js.
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* 'data' is blob object and the buffer is stored in RCTBlobManager. It first resolve it and creates a tensor.
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*/
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+ (Ort::Value)createInputTensor:(RCTBlobManager*)blobManager
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input:(NSDictionary*)input
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ortAllocator:(OrtAllocator*)ortAllocator
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allocations:(std::vector<Ort::MemoryAllocation>&)allocations;
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/**
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* It creates an output map from an output tensor.
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* a data array is store in RCTBlobManager.
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*/
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+ (NSDictionary*)createOutputTensor:(RCTBlobManager*)blobManager
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outputNames:(const std::vector<const char*>&)outputNames
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values:(const std::vector<Ort::Value>&)values;
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@end
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#endif /* TensorHelper_h */
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