| { |
| "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" |
| } |
| } |