{
  "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/lite/",
  "libraries": [
    "c++"
  ],
  "license": {
    "text": "Apache 2",
    "type": "Copyright"
  },
  "name": "TensorFlowLiteGpuExperimental",
  "platforms": {
    "ios": "8.0"
  },
  "source": {
    "http": "https://dl.google.com/dl/cpdc/59b3fbf762c9a72b/TensorFlowLiteGpuExperimental-0.0.1.tar.gz"
  },
  "summary": "TensorFlow Lite",
  "vendored_frameworks": [
    "Frameworks/tensorflow_lite_gpu.framework"
  ],
  "version": "0.0.1",
  "xcconfig": {
    "HEADER_SEARCH_PATHS": "'${SRCROOT}/Pods/TensorFlowLiteGpuExperimental/Frameworks/tensorflow_lite_gpu.framework/Headers'",
    "OTHER_LDFLAGS": "-force_load '${SRCROOT}/Pods/TensorFlowLiteGpuExperimental/Frameworks/tensorflow_lite_gpu.framework/tensorflow_lite_gpu' '-L ${SRCROOT}/Pods/TensorFlowLiteGpuExperimental/Frameworks/tensorflow_lite_gpu.framework' -l metal_delegate"
  }
}