Specs/7/9/2/LiteRTSwift/0.0.1-nightly.20241019/LiteRTSwift.podspec.json

   1 {
   2   "name": "LiteRTSwift",
   3   "version": "0.0.1-nightly.20241019",
   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": "789fc14992fbb6656956cb5b78b25bfc5e8203ae"
  12   },
  13   "summary": "TensorFlow Lite for Swift",
  14   "description": "TensorFlow Lite is TensorFlow's lightweight solution for Swift developers. It\nenables low-latency inference of on-device machine learning models with a\nsmall binary size and fast performance supporting hardware acceleration.",
  15   "cocoapods_version": ">= 1.9.0",
  16   "platforms": {
  17     "ios": "12.0"
  18   },
  19   "swift_versions": "5.0",
  20   "module_name": "TensorFlowLite",
  21   "static_framework": true,
  22   "pod_target_xcconfig": {
  23     "EXCLUDED_ARCHS[sdk=iphonesimulator*]": "i386"
  24   },
  25   "user_target_xcconfig": {
  26     "EXCLUDED_ARCHS[sdk=iphonesimulator*]": "i386"
  27   },
  28   "default_subspecs": "Core",
  29   "subspecs": [
  30     {
  31       "name": "Privacy",
  32       "resource_bundles": {
  33         "TensorFlowLite": "tensorflow/lite/swift/PrivacyInfo.xcprivacy"
  34       }
  35     },
  36     {
  37       "name": "Core",
  38       "dependencies": {
  39         "LiteRTC": [
  40           "0.0.1-nightly.20241019"
  41         ],
  42         "LiteRTSwift/Privacy": [
  43           "0.0.1-nightly.20241019"
  44         ]
  45       },
  46       "source_files": "tensorflow/lite/swift/Sources/*.swift",
  47       "exclude_files": "tensorflow/lite/swift/Sources/{CoreML,Metal}Delegate.swift",
  48       "testspecs": [
  49         {
  50           "name": "Tests",
  51           "test_type": "unit",
  52           "source_files": "tensorflow/lite/swift/Tests/*.swift",
  53           "exclude_files": "tensorflow/lite/swift/Tests/MetalDelegateTests.swift",
  54           "resources": [
  55             "tensorflow/lite/testdata/add.bin",
  56             "tensorflow/lite/testdata/add_quantized.bin",
  57             "tensorflow/lite/testdata/multi_signatures.bin"
  58           ]
  59         }
  60       ]
  61     },
  62     {
  63       "name": "CoreML",
  64       "source_files": "tensorflow/lite/swift/Sources/CoreMLDelegate.swift",
  65       "dependencies": {
  66         "LiteRTC/CoreML": [
  67           "0.0.1-nightly.20241019"
  68         ],
  69         "LiteRTSwift/Core": [
  70           "0.0.1-nightly.20241019"
  71         ],
  72         "LiteRTSwift/Privacy": [
  73           "0.0.1-nightly.20241019"
  74         ]
  75       }
  76     },
  77     {
  78       "name": "Metal",
  79       "source_files": "tensorflow/lite/swift/Sources/MetalDelegate.swift",
  80       "dependencies": {
  81         "LiteRTC/Metal": [
  82           "0.0.1-nightly.20241019"
  83         ],
  84         "LiteRTSwift/Core": [
  85           "0.0.1-nightly.20241019"
  86         ],
  87         "LiteRTSwift/Privacy": [
  88           "0.0.1-nightly.20241019"
  89         ]
  90       },
  91       "testspecs": [
  92         {
  93           "name": "Tests",
  94           "test_type": "unit",
  95           "source_files": "tensorflow/lite/swift/Tests/{Interpreter,MetalDelegate}Tests.swift",
  96           "resources": [
  97             "tensorflow/lite/testdata/add.bin",
  98             "tensorflow/lite/testdata/add_quantized.bin",
  99             "tensorflow/lite/testdata/multi_add.bin"
 100           ]
 101         }
 102       ]
 103     }
 104   ],
 105   "swift_version": "5.0"
 106 }