Specs/7/9/2/LiteRTSwift/0.0.1-nightly.20241205/LiteRTSwift.podspec.json

   1 {
   2   "name": "LiteRTSwift",
   3   "version": "0.0.1-nightly.20241205",
   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": "82022912e73d592558510490da3fe77fabd6100b"
  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     "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         "TensorFlowLite": "tensorflow/lite/swift/PrivacyInfo.xcprivacy"
  36       }
  37     },
  38     {
  39       "name": "Core",
  40       "dependencies": {
  41         "LiteRTC": [
  42           "0.0.1-nightly.20241205"
  43         ],
  44         "LiteRTSwift/Privacy": [
  45           "0.0.1-nightly.20241205"
  46         ]
  47       },
  48       "source_files": "tensorflow/lite/swift/Sources/*.swift",
  49       "exclude_files": "tensorflow/lite/swift/Sources/{CoreML,Metal}Delegate.swift",
  50       "testspecs": [
  51         {
  52           "name": "Tests",
  53           "test_type": "unit",
  54           "source_files": "tensorflow/lite/swift/Tests/*.swift",
  55           "exclude_files": "tensorflow/lite/swift/Tests/MetalDelegateTests.swift",
  56           "resources": [
  57             "tensorflow/lite/testdata/add.bin",
  58             "tensorflow/lite/testdata/add_quantized.bin",
  59             "tensorflow/lite/testdata/multi_signatures.bin"
  60           ]
  61         }
  62       ]
  63     },
  64     {
  65       "name": "CoreML",
  66       "source_files": "tensorflow/lite/swift/Sources/CoreMLDelegate.swift",
  67       "dependencies": {
  68         "LiteRTC/CoreML": [
  69           "0.0.1-nightly.20241205"
  70         ],
  71         "LiteRTSwift/Core": [
  72           "0.0.1-nightly.20241205"
  73         ],
  74         "LiteRTSwift/Privacy": [
  75           "0.0.1-nightly.20241205"
  76         ]
  77       }
  78     },
  79     {
  80       "name": "Metal",
  81       "source_files": "tensorflow/lite/swift/Sources/MetalDelegate.swift",
  82       "dependencies": {
  83         "LiteRTC/Metal": [
  84           "0.0.1-nightly.20241205"
  85         ],
  86         "LiteRTSwift/Core": [
  87           "0.0.1-nightly.20241205"
  88         ],
  89         "LiteRTSwift/Privacy": [
  90           "0.0.1-nightly.20241205"
  91         ]
  92       },
  93       "testspecs": [
  94         {
  95           "name": "Tests",
  96           "test_type": "unit",
  97           "source_files": "tensorflow/lite/swift/Tests/{Interpreter,MetalDelegate}Tests.swift",
  98           "resources": [
  99             "tensorflow/lite/testdata/add.bin",
 100             "tensorflow/lite/testdata/add_quantized.bin",
 101             "tensorflow/lite/testdata/multi_add.bin"
 102           ]
 103         }
 104       ]
 105     }
 106   ],
 107   "swift_version": "5.0"
 108 }