| { |
| "name": "TensorFlowLiteObjC", |
| "version": "0.0.1-nightly.20200625", |
| "authors": "Google Inc.", |
| "license": { |
| "type": "Apache" |
| }, |
| "homepage": "https://github.com/tensorflow/tensorflow", |
| "source": { |
| "git": "https://github.com/tensorflow/tensorflow.git", |
| "commit": "d659eb9c0ddc0e9ad2a7f4addb98380e2ea70954" |
| }, |
| "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/c/c_api.h", |
| "tensorflow/lite/c/common.h", |
| "tensorflow/lite/delegates/xnnpack/xnnpack_delegate.h" |
| ], |
| "module_map": "tensorflow/lite/experimental/objc/apis/framework.modulemap", |
| "dependencies": { |
| "TensorFlowLiteC": [ |
| "~> 0.0.1-nightly" |
| ] |
| }, |
| "pod_target_xcconfig": { |
| "HEADER_SEARCH_PATHS": "\"${PODS_TARGET_SRCROOT}\" \"${PODS_TARGET_SRCROOT}/tensorflow/lite/experimental/objc/apis\"", |
| "VALID_ARCHS": "i386 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" |
| ] |
| } |
| ] |
| } |