2 "name": "TensorFlowLiteObjC",
3 "version": "0.0.1-nightly.20241011",
4 "authors": "Google Inc.",
8 "homepage": "https://github.com/tensorflow/tensorflow",
10 "git": "https://github.com/tensorflow/tensorflow.git",
11 "commit": "6efb912e607891dee06075130e2dd41d195892e2"
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",
33 "TFLTensorFlowLite": "tensorflow/lite/objc/PrivacyInfo.xcprivacy"
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43 "tensorflow/lite/objc/{apis,sources}/TFL{Metal,CoreML}Delegate.{h,m}"
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58 "exclude_files": "tensorflow/lite/objc/tests/TFL{Metal,CoreML}DelegateTests.m",
60 "tensorflow/lite/testdata/add.bin",
61 "tensorflow/lite/testdata/add_quantized.bin",
62 "tensorflow/lite/testdata/multi_signatures.bin"
70 "tensorflow/lite/objc/{apis,sources}/TFLCoreMLDelegate.{h,m}"
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79 "TensorFlowLiteObjC/Core": [
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103 "TensorFlowLiteC/Metal": [
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106 "TensorFlowLiteObjC/Core": [
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