Specs/5/a/d/TensorFlowLiteObjC/0.0.1-nightly.20201122/TensorFlowLiteObjC.podspec.json

   1 {
   2   "name": "TensorFlowLiteObjC",
   3   "version": "0.0.1-nightly.20201122",
   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": "2cad9d750cadd825910b61351a731eb0e8031608"
  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   "platforms": {
  16     "ios": "9.0"
  17   },
  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"
  23   },
  24   "default_subspecs": "Core",
  25   "subspecs": [
  26     {
  27       "name": "Core",
  28       "public_header_files": "tensorflow/lite/experimental/objc/apis/*.h",
  29       "source_files": [
  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"
  34       ],
  35       "exclude_files": [
  36         "tensorflow/lite/experimental/objc/{apis,sources}/TFL{Metal,CoreML}Delegate.{h,m}"
  37       ],
  38       "dependencies": {
  39         "TensorFlowLiteC": [
  40           "0.0.1-nightly.20201122"
  41         ]
  42       },
  43       "testspecs": [
  44         {
  45           "name": "Tests",
  46           "test_type": "unit",
  47           "source_files": "tensorflow/lite/experimental/objc/tests/*.m",
  48           "exclude_files": "tensorflow/lite/experimental/objc/tests/TFL{Metal,CoreML}DelegateTests.m",
  49           "resources": [
  50             "tensorflow/lite/testdata/add.bin",
  51             "tensorflow/lite/testdata/add_quantized.bin"
  52           ]
  53         }
  54       ]
  55     },
  56     {
  57       "name": "CoreML",
  58       "source_files": [
  59         "tensorflow/lite/experimental/objc/{apis,sources}/TFLCoreMLDelegate.{h,m}"
  60       ],
  61       "platforms": {
  62         "ios": "12.0"
  63       },
  64       "dependencies": {
  65         "TensorFlowLiteC/CoreML": [
  66           "0.0.1-nightly.20201122"
  67         ],
  68         "TensorFlowLiteObjC/Core": [
  69           "0.0.1-nightly.20201122"
  70         ]
  71       },
  72       "testspecs": [
  73         {
  74           "name": "Tests",
  75           "test_type": "unit",
  76           "source_files": "tensorflow/lite/experimental/objc/tests/TFLCoreMLDelegateTests.m",
  77           "resources": [
  78             "tensorflow/lite/testdata/add.bin"
  79           ]
  80         }
  81       ]
  82     },
  83     {
  84       "name": "Metal",
  85       "source_files": [
  86         "tensorflow/lite/experimental/objc/{apis,sources}/TFLMetalDelegate.{h,m}"
  87       ],
  88       "dependencies": {
  89         "TensorFlowLiteC/Metal": [
  90           "0.0.1-nightly.20201122"
  91         ],
  92         "TensorFlowLiteObjC/Core": [
  93           "0.0.1-nightly.20201122"
  94         ]
  95       },
  96       "testspecs": [
  97         {
  98           "name": "Tests",
  99           "test_type": "unit",
 100           "source_files": "tensorflow/lite/experimental/objc/tests/TFLMetalDelegateTests.m",
 101           "resources": [
 102             "tensorflow/lite/testdata/multi_add.bin"
 103           ]
 104         }
 105       ]
 106     }
 107   ]
 108 }