Specs/1/6/0/TensorFlowLiteC/0.0.1-nightly.20220503/TensorFlowLiteC.podspec.json

   1 {
   2   "name": "TensorFlowLiteC",
   3   "version": "0.0.1-nightly.20220503",
   4   "authors": "Google Inc.",
   5   "license": {
   6     "type": "Apache"
   7   },
   8   "homepage": "https://github.com/tensorflow/tensorflow",
   9   "source": {
  10     "http": "https://dl.google.com/tflite-nightly/ios/prod/tensorflow/lite/release/ios/nightly/488/20220503-035010/TensorFlowLiteC/0.0.1-nightly.20220503/TensorFlowLiteC-0.0.1-nightly.20220503.tar.gz"
  11   },
  12   "summary": "TensorFlow Lite",
  13   "description": "An internal-only pod containing the TensorFlow Lite C library that the public\n`TensorFlowLiteSwift` and `TensorFlowLiteObjC` pods depend on. This pod is not\nintended to be used directly. Swift developers should use the\n`TensorFlowLiteSwift` pod and Objective-C developers should use the\n`TensorFlowLiteObjC` pod.",
  14   "platforms": {
  15     "ios": "9.0"
  16   },
  17   "module_name": "TensorFlowLiteC",
  18   "libraries": "c++",
  19   "pod_target_xcconfig": {
  20     "EXCLUDED_ARCHS[sdk=iphonesimulator*]": "arm64"
  21   },
  22   "user_target_xcconfig": {
  23     "EXCLUDED_ARCHS[sdk=iphonesimulator*]": "arm64"
  24   },
  25   "default_subspecs": "Core",
  26   "subspecs": [
  27     {
  28       "name": "Core",
  29       "vendored_frameworks": "Frameworks/TensorFlowLiteC.framework"
  30     },
  31     {
  32       "name": "CoreML",
  33       "weak_frameworks": "CoreML",
  34       "dependencies": {
  35         "TensorFlowLiteC/Core": [
  36
  37         ]
  38       },
  39       "vendored_frameworks": "Frameworks/TensorFlowLiteCCoreML.framework"
  40     },
  41     {
  42       "name": "Metal",
  43       "weak_frameworks": "Metal",
  44       "dependencies": {
  45         "TensorFlowLiteC/Core": [
  46
  47         ]
  48       },
  49       "vendored_frameworks": "Frameworks/TensorFlowLiteCMetal.framework"
  50     }
  51   ]
  52 }