2 "name": "TensorFlowLiteObjC",
3 "version": "0.0.1-nightly.20201022",
4 "authors": "Google Inc.",
8 "homepage": "https://github.com/tensorflow/tensorflow",
10 "git": "https://github.com/tensorflow/tensorflow.git",
11 "commit": "786bd17c6df93097ce31eea0b94cd565082cc2ae"
13 "summary": "TensorFlow Lite for Objective-C",
14 "description": "TensorFlow Lite is TensorFlow's lightweight solution for Objective-C\ndevelopers. It enables low-latency inference of on-device machine learning\nmodels with a small binary size and fast performance supporting hardware\nacceleration.",
18 "module_name": "TFLTensorFlowLite",
19 "static_framework": true,
20 "pod_target_xcconfig": {
21 "HEADER_SEARCH_PATHS": "\"${PODS_TARGET_SRCROOT}\" \"${PODS_TARGET_SRCROOT}/tensorflow/lite/experimental/objc/apis\"",
22 "VALID_ARCHS": "i386 x86_64 armv7 arm64"
24 "default_subspecs": "Core",
28 "public_header_files": "tensorflow/lite/experimental/objc/apis/*.h",
30 "tensorflow/lite/experimental/objc/{apis,sources}/*.{h,m,mm}",
31 "tensorflow/lite/c/c_api.h",
32 "tensorflow/lite/c/common.h",
33 "tensorflow/lite/delegates/xnnpack/xnnpack_delegate.h"
36 "tensorflow/lite/experimental/objc/{apis,sources}/TFL{Metal,CoreML}Delegate.{h,m}"
40 "0.0.1-nightly.20201022"
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48 "exclude_files": "tensorflow/lite/experimental/objc/tests/TFL{Metal,CoreML}DelegateTests.m",
50 "tensorflow/lite/testdata/add.bin",
51 "tensorflow/lite/testdata/add_quantized.bin"
59 "tensorflow/lite/experimental/objc/{apis,sources}/TFLCoreMLDelegate.{h,m}"
65 "TensorFlowLiteC/CoreML": [
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68 "TensorFlowLiteObjC/Core": [
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86 "tensorflow/lite/experimental/objc/{apis,sources}/TFLMetalDelegate.{h,m}"
89 "TensorFlowLiteC/Metal": [
90 "0.0.1-nightly.20201022"
92 "TensorFlowLiteObjC/Core": [
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100 "source_files": "tensorflow/lite/experimental/objc/tests/TFLMetalDelegateTests.m",
102 "tensorflow/lite/testdata/multi_add.bin"