| Pod::Spec.new do |s| |
| s.name = 'TensorFlowLiteObjC' |
| s.version = '2.1.0' |
| s.authors = 'Google Inc.' |
| s.license = { :type => 'Apache' } |
| s.homepage = 'https://github.com/tensorflow/tensorflow' |
| s.source = { :git => 'https://github.com/tensorflow/tensorflow.git', :tag => "v#{s.version}" } |
| s.summary = 'TensorFlow Lite for Objective-C' |
| s.description = <<-DESC |
| |
| TensorFlow Lite is TensorFlow's lightweight solution for Objective-C |
| developers. It enables low-latency inference of on-device machine learning |
| models with a small binary size and fast performance supporting hardware |
| acceleration. |
| DESC |
| |
| s.ios.deployment_target = '9.0' |
| |
| s.module_name = 'TFLTensorFlowLite' |
| s.static_framework = true |
| |
| tfl_dir = 'tensorflow/lite/' |
| objc_dir = tfl_dir + 'experimental/objc/' |
| s.public_header_files = objc_dir + 'apis/*.h' |
| s.source_files = [ |
| objc_dir + '{apis,sources}/*.{h,m,mm}', |
| tfl_dir + 'experimental/c/c_api.h', |
| tfl_dir + 'experimental/c/c_api_types.h', |
| ] |
| s.module_map = objc_dir + 'apis/framework.modulemap' |
| s.dependency 'TensorFlowLiteC', "#{s.version}" |
| s.pod_target_xcconfig = { |
| 'HEADER_SEARCH_PATHS' => |
| '"${PODS_TARGET_SRCROOT}" ' + |
| '"${PODS_TARGET_SRCROOT}/' + objc_dir + 'apis"', |
| 'VALID_ARCHS' => 'x86_64 armv7 arm64', |
| } |
| |
| s.test_spec 'Tests' do |ts| |
| ts.source_files = objc_dir + 'tests/*.m' |
| ts.resources = [ |
| tfl_dir + 'testdata/add.bin', |
| tfl_dir + 'testdata/add_quantized.bin', |
| ] |
| end |
| end |
