Specs/5/a/d/TensorFlowLiteObjC/0.0.1-nightly.20240406/TensorFlowLiteObjC.podspec.json

   1 {
   2   "name": "TensorFlowLiteObjC",
   3   "version": "0.0.1-nightly.20240406",
   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": "48279b28a7e04d4a329ab4126d6f2e9a3dbefc1e"
  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   },
  25   "user_target_xcconfig": {
  26     "EXCLUDED_ARCHS[sdk=iphonesimulator*]": "i386"
  27   },
  28   "default_subspecs": "Core",
  29   "subspecs": [
  30     {
  31       "name": "Core",
  32       "public_header_files": "tensorflow/lite/objc/apis/*.h",
  33       "source_files": [
  34         "tensorflow/lite/objc/{apis,sources}/*.{h,m,mm}"
  35       ],
  36       "exclude_files": [
  37         "tensorflow/lite/objc/{apis,sources}/TFL{Metal,CoreML}Delegate.{h,m}"
  38       ],
  39       "dependencies": {
  40         "TensorFlowLiteC": [
  41           "0.0.1-nightly.20240406"
  42         ]
  43       },
  44       "testspecs": [
  45         {
  46           "name": "Tests",
  47           "test_type": "unit",
  48           "source_files": "tensorflow/lite/objc/tests/*.m",
  49           "exclude_files": "tensorflow/lite/objc/tests/TFL{Metal,CoreML}DelegateTests.m",
  50           "resources": [
  51             "tensorflow/lite/testdata/add.bin",
  52             "tensorflow/lite/testdata/add_quantized.bin",
  53             "tensorflow/lite/testdata/multi_signatures.bin"
  54           ]
  55         }
  56       ]
  57     },
  58     {
  59       "name": "CoreML",
  60       "source_files": [
  61         "tensorflow/lite/objc/{apis,sources}/TFLCoreMLDelegate.{h,m}"
  62       ],
  63       "platforms": {
  64         "ios": "12.0"
  65       },
  66       "dependencies": {
  67         "TensorFlowLiteC/CoreML": [
  68           "0.0.1-nightly.20240406"
  69         ],
  70         "TensorFlowLiteObjC/Core": [
  71           "0.0.1-nightly.20240406"
  72         ]
  73       },
  74       "testspecs": [
  75         {
  76           "name": "Tests",
  77           "test_type": "unit",
  78           "source_files": "tensorflow/lite/objc/tests/TFLCoreMLDelegateTests.m",
  79           "resources": [
  80             "tensorflow/lite/testdata/add.bin"
  81           ]
  82         }
  83       ]
  84     },
  85     {
  86       "name": "Metal",
  87       "source_files": [
  88         "tensorflow/lite/objc/{apis,sources}/TFLMetalDelegate.{h,m}"
  89       ],
  90       "dependencies": {
  91         "TensorFlowLiteC/Metal": [
  92           "0.0.1-nightly.20240406"
  93         ],
  94         "TensorFlowLiteObjC/Core": [
  95           "0.0.1-nightly.20240406"
  96         ]
  97       },
  98       "testspecs": [
  99         {
 100           "name": "Tests",
 101           "test_type": "unit",
 102           "source_files": "tensorflow/lite/objc/tests/TFLMetalDelegateTests.m",
 103           "resources": [
 104             "tensorflow/lite/testdata/multi_add.bin"
 105           ]
 106         }
 107       ]
 108     }
 109   ]
 110 }