Specs/a/d/a/TensorFlowLite/0.1.7/TensorFlowLite.podspec.json

{
  "authors": "Google, Inc.",
  "description": "TensorFlow Lite is TensorFlow’s lightweight solution for mobile and embedded devices. It enables on-device machine learning inference with low latency and a small binary size.",
  "frameworks": [
    "Accelerate"
  ],
  "homepage": "https://www.tensorflow.org/mobile/tflite/",
  "libraries": [
    "c++"
  ],
  "license": {
    "text": "Apache 2",
    "type": "Copyright"
  },
  "name": "TensorFlowLite",
  "platforms": {
    "ios": "8.0"
  },
  "source": {
    "http": "https://dl.google.com/dl/cpdc/5259233da1eb5512/TensorFlowLite-0.1.7.tar.gz"
  },
  "summary": "TensorFlow Lite",
  "vendored_frameworks": [
    "Frameworks/tensorflow_lite.framework"
  ],
  "version": "0.1.7",
  "xcconfig": {
    "HEADER_SEARCH_PATHS": "'${SRCROOT}/Pods/TensorFlowLite/Frameworks/tensorflow_lite.framework/Headers'",
    "OTHER_LDFLAGS": "-force_load '${SRCROOT}/Pods/TensorFlowLite/Frameworks/tensorflow_lite.framework/tensorflow_lite' '-L ${SRCROOT}/Pods/TensorFlowLite/Frameworks/tensorflow_lite.framework'"
  }
}