{
  "name": "TensorFlowLiteObjC",
  "version": "2.0.0",
  "authors": "Google Inc.",
  "license": {
    "type": "Apache"
  },
  "homepage": "https://github.com/tensorflow/tensorflow",
  "source": {
    "git": "https://github.com/tensorflow/tensorflow.git",
    "tag": "v2.0.0"
  },
  "summary": "TensorFlow Lite for Objective-C",
  "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.",
  "platforms": {
    "ios": "9.0"
  },
  "module_name": "TFLTensorFlowLite",
  "static_framework": true,
  "public_header_files": "tensorflow/lite/experimental/objc/apis/*.h",
  "source_files": [
    "tensorflow/lite/experimental/objc/{apis,sources}/*.{h,m,mm}",
    "tensorflow/lite/experimental/c/c_api.h",
    "tensorflow/lite/experimental/c/c_api_types.h"
  ],
  "module_map": "tensorflow/lite/experimental/objc/apis/framework.modulemap",
  "dependencies": {
    "TensorFlowLiteC": [
      "2.0.0"
    ]
  },
  "pod_target_xcconfig": {
    "HEADER_SEARCH_PATHS": "\"${PODS_TARGET_SRCROOT}\" \"${PODS_TARGET_SRCROOT}/tensorflow/lite/experimental/objc/apis\"",
    "VALID_ARCHS": "x86_64 armv7 arm64"
  },
  "testspecs": [
    {
      "name": "Tests",
      "test_type": "unit",
      "source_files": "tensorflow/lite/experimental/objc/tests/*.m",
      "resources": [
        "tensorflow/lite/testdata/add.bin",
        "tensorflow/lite/testdata/add_quantized.bin"
      ]
    }
  ]
}