2 "name": "TensorFlowLiteObjC",
4 "authors": "Google Inc.",
8 "homepage": "https://github.com/tensorflow/tensorflow",
10 "git": "https://github.com/tensorflow/tensorflow.git",
11 "commit": "4dacf3f368eb7965e9b5c3bbdd5193986081c3b2"
13 "summary": "TensorFlow Lite for Objective-C",
14 "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.",
15 "cocoapods_version": ">= 1.9.0",
19 "module_name": "TFLTensorFlowLite",
20 "static_framework": true,
21 "pod_target_xcconfig": {
22 "HEADER_SEARCH_PATHS": "\"${PODS_TARGET_SRCROOT}\" \"${PODS_TARGET_SRCROOT}/tensorflow/lite/objc/apis\"",
23 "EXCLUDED_ARCHS[sdk=iphonesimulator*]": "i386"
25 "user_target_xcconfig": {
26 "EXCLUDED_ARCHS[sdk=iphonesimulator*]": "i386"
28 "default_subspecs": "Core",
32 "public_header_files": "tensorflow/lite/objc/apis/*.h",
34 "tensorflow/lite/objc/{apis,sources}/*.{h,m,mm}"
37 "tensorflow/lite/objc/{apis,sources}/TFL{Metal,CoreML}Delegate.{h,m}"
48 "source_files": "tensorflow/lite/objc/tests/*.m",
49 "exclude_files": "tensorflow/lite/objc/tests/TFL{Metal,CoreML}DelegateTests.m",
51 "tensorflow/lite/testdata/add.bin",
52 "tensorflow/lite/testdata/add_quantized.bin",
53 "tensorflow/lite/testdata/multi_signatures.bin"
61 "tensorflow/lite/objc/{apis,sources}/TFLCoreMLDelegate.{h,m}"
67 "TensorFlowLiteC/CoreML": [
70 "TensorFlowLiteObjC/Core": [
78 "source_files": "tensorflow/lite/objc/tests/TFLCoreMLDelegateTests.m",
80 "tensorflow/lite/testdata/add.bin"
88 "tensorflow/lite/objc/{apis,sources}/TFLMetalDelegate.{h,m}"
91 "TensorFlowLiteC/Metal": [
94 "TensorFlowLiteObjC/Core": [
102 "source_files": "tensorflow/lite/objc/tests/TFLMetalDelegateTests.m",
104 "tensorflow/lite/testdata/multi_add.bin"