Specs/e/c/8/LiteRTObjC/0.0.1-nightly.20241110/LiteRTObjC.podspec.json

   1 {
   2   "name": "LiteRTObjC",
   3   "version": "0.0.1-nightly.20241110",
   4   "authors": "Google Inc.",
   5   "license": {
   6     "type": "Apache"
   7   },
   8   "homepage": "https://github.com/tensorflow/tensorflow",
   9   "source": {
  10     "git": "https://github.com/tensorflow/tensorflow.git",
  11     "commit": "c8051061dbfcef88d270432a819d03f4ae8ae7ac"
  12   },
  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.",
  15   "cocoapods_version": ">= 1.9.0",
  16   "platforms": {
  17     "ios": "12.0"
  18   },
  19   "module_name": "TFLTensorFlowLite",
  20   "static_framework": true,
  21   "pod_target_xcconfig": {
  22     "HEADER_SEARCH_PATHS": "\"${PODS_TARGET_SRCROOT}\" \"${PODS_TARGET_SRCROOT}/tensorflow/lite/objc/apis\"",
  23     "EXCLUDED_ARCHS[sdk=iphonesimulator*]": "i386",
  24     "ENABLE_USER_SCRIPT_SANDBOXING": "NO"
  25   },
  26   "user_target_xcconfig": {
  27     "EXCLUDED_ARCHS[sdk=iphonesimulator*]": "i386",
  28     "ENABLE_USER_SCRIPT_SANDBOXING": "NO"
  29   },
  30   "default_subspecs": "Core",
  31   "subspecs": [
  32     {
  33       "name": "Privacy",
  34       "resource_bundles": {
  35         "TFLTensorFlowLite": "tensorflow/lite/objc/PrivacyInfo.xcprivacy"
  36       }
  37     },
  38     {
  39       "name": "Core",
  40       "public_header_files": "tensorflow/lite/objc/apis/*.h",
  41       "source_files": [
  42         "tensorflow/lite/objc/{apis,sources}/*.{h,m,mm}"
  43       ],
  44       "exclude_files": [
  45         "tensorflow/lite/objc/{apis,sources}/TFL{Metal,CoreML}Delegate.{h,m}"
  46       ],
  47       "dependencies": {
  48         "LiteRTC": [
  49           "0.0.1-nightly.20241110"
  50         ],
  51         "LiteRTObjC/Privacy": [
  52           "0.0.1-nightly.20241110"
  53         ]
  54       },
  55       "testspecs": [
  56         {
  57           "name": "Tests",
  58           "test_type": "unit",
  59           "source_files": "tensorflow/lite/objc/tests/*.m",
  60           "exclude_files": "tensorflow/lite/objc/tests/TFL{Metal,CoreML}DelegateTests.m",
  61           "resources": [
  62             "tensorflow/lite/testdata/add.bin",
  63             "tensorflow/lite/testdata/add_quantized.bin",
  64             "tensorflow/lite/testdata/multi_signatures.bin"
  65           ]
  66         }
  67       ]
  68     },
  69     {
  70       "name": "CoreML",
  71       "source_files": [
  72         "tensorflow/lite/objc/{apis,sources}/TFLCoreMLDelegate.{h,m}"
  73       ],
  74       "platforms": {
  75         "ios": "12.0"
  76       },
  77       "dependencies": {
  78         "LiteRTC/CoreML": [
  79           "0.0.1-nightly.20241110"
  80         ],
  81         "LiteRTObjC/Core": [
  82           "0.0.1-nightly.20241110"
  83         ],
  84         "LiteRTObjC/Privacy": [
  85           "0.0.1-nightly.20241110"
  86         ]
  87       },
  88       "testspecs": [
  89         {
  90           "name": "Tests",
  91           "test_type": "unit",
  92           "source_files": "tensorflow/lite/objc/tests/TFLCoreMLDelegateTests.m",
  93           "resources": [
  94             "tensorflow/lite/testdata/add.bin"
  95           ]
  96         }
  97       ]
  98     },
  99     {
 100       "name": "Metal",
 101       "source_files": [
 102         "tensorflow/lite/objc/{apis,sources}/TFLMetalDelegate.{h,m}"
 103       ],
 104       "dependencies": {
 105         "LiteRTC/Metal": [
 106           "0.0.1-nightly.20241110"
 107         ],
 108         "LiteRTObjC/Core": [
 109           "0.0.1-nightly.20241110"
 110         ],
 111         "LiteRTObjC/Privacy": [
 112           "0.0.1-nightly.20241110"
 113         ]
 114       },
 115       "testspecs": [
 116         {
 117           "name": "Tests",
 118           "test_type": "unit",
 119           "source_files": "tensorflow/lite/objc/tests/TFLMetalDelegateTests.m",
 120           "resources": [
 121             "tensorflow/lite/testdata/multi_add.bin"
 122           ]
 123         }
 124       ]
 125     }
 126   ]
 127 }