| { |
| "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/ebc9fdea55bf3e1a/TensorFlowLite-1.10.0.tar.gz" |
| }, |
| "summary": "TensorFlow Lite", |
| "vendored_frameworks": [ |
| "Frameworks/tensorflow_lite.framework" |
| ], |
| "version": "1.10.0", |
| "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'" |
| } |
| } |