Specs/5/a/d/TensorFlowLiteObjC/0.0.1-nightly.20211128/TensorFlowLiteObjC.podspec.json

   1 {
   2   "name": "TensorFlowLiteObjC",
   3   "version": "0.0.1-nightly.20211128",
   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": "fe15e27357f2e46b573d844e7f8cd4daef15fbbd"
  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/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/objc/apis/*.h",
  29       "source_files": [
  30         "tensorflow/lite/objc/{apis,sources}/*.{h,m,mm}",
  31         "tensorflow/lite/builtin_ops.h",
  32         "tensorflow/lite/c/c_api.h",
  33         "tensorflow/lite/c/c_api_types.h",
  34         "tensorflow/lite/c/common.h",
  35         "tensorflow/lite/delegates/xnnpack/xnnpack_delegate.h"
  36       ],
  37       "exclude_files": [
  38         "tensorflow/lite/objc/{apis,sources}/TFL{Metal,CoreML}Delegate.{h,m}"
  39       ],
  40       "dependencies": {
  41         "TensorFlowLiteC": [
  42           "0.0.1-nightly.20211128"
  43         ]
  44       },
  45       "testspecs": [
  46         {
  47           "name": "Tests",
  48           "test_type": "unit",
  49           "source_files": "tensorflow/lite/objc/tests/*.m",
  50           "exclude_files": "tensorflow/lite/objc/tests/TFL{Metal,CoreML}DelegateTests.m",
  51           "resources": [
  52             "tensorflow/lite/testdata/add.bin",
  53             "tensorflow/lite/testdata/add_quantized.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.20211128"
  69         ],
  70         "TensorFlowLiteObjC/Core": [
  71           "0.0.1-nightly.20211128"
  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.20211128"
  93         ],
  94         "TensorFlowLiteObjC/Core": [
  95           "0.0.1-nightly.20211128"
  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 }