Specs/5/a/d/TensorFlowLiteObjC/2.2.0/TensorFlowLiteObjC.podspec.json

   1 {
   2   "name": "TensorFlowLiteObjC",
   3   "version": "2.2.0",
   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     "tag": "v2.2.0"
  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   "public_header_files": "tensorflow/lite/experimental/objc/apis/*.h",
  21   "source_files": [
  22     "tensorflow/lite/experimental/objc/{apis,sources}/*.{h,m,mm}",
  23     "tensorflow/lite/c/c_api.h",
  24     "tensorflow/lite/c/common.h"
  25   ],
  26   "module_map": "tensorflow/lite/experimental/objc/apis/framework.modulemap",
  27   "dependencies": {
  28     "TensorFlowLiteC": [
  29       "2.2.0"
  30     ]
  31   },
  32   "pod_target_xcconfig": {
  33     "HEADER_SEARCH_PATHS": "\"${PODS_TARGET_SRCROOT}\" \"${PODS_TARGET_SRCROOT}/tensorflow/lite/experimental/objc/apis\"",
  34     "VALID_ARCHS": "x86_64 armv7 arm64"
  35   },
  36   "testspecs": [
  37     {
  38       "name": "Tests",
  39       "test_type": "unit",
  40       "source_files": "tensorflow/lite/experimental/objc/tests/*.m",
  41       "resources": [
  42         "tensorflow/lite/testdata/add.bin",
  43         "tensorflow/lite/testdata/add_quantized.bin"
  44       ]
  45     }
  46   ]
  47 }