2 "name": "TensorFlowLiteObjC",
3 "version": "0.0.1-nightly.20241211",
4 "authors": "Google Inc.",
8 "homepage": "https://github.com/tensorflow/tensorflow",
10 "git": "https://github.com/tensorflow/tensorflow.git",
11 "commit": "893f83b05d74dea93b6237100445578afed76e90"
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",
24 "ENABLE_USER_SCRIPT_SANDBOXING": "NO"
26 "user_target_xcconfig": {
27 "EXCLUDED_ARCHS[sdk=iphonesimulator*]": "i386",
28 "ENABLE_USER_SCRIPT_SANDBOXING": "NO"
30 "default_subspecs": "Core",
35 "TFLTensorFlowLite": "tensorflow/lite/objc/PrivacyInfo.xcprivacy"
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42 "tensorflow/lite/objc/{apis,sources}/*.{h,m,mm}"
45 "tensorflow/lite/objc/{apis,sources}/TFL{Metal,CoreML}Delegate.{h,m}"
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59 "source_files": "tensorflow/lite/objc/tests/*.m",
60 "exclude_files": "tensorflow/lite/objc/tests/TFL{Metal,CoreML}DelegateTests.m",
62 "tensorflow/lite/testdata/add.bin",
63 "tensorflow/lite/testdata/add_quantized.bin",
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72 "tensorflow/lite/objc/{apis,sources}/TFLCoreMLDelegate.{h,m}"
78 "TensorFlowLiteC/CoreML": [
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81 "TensorFlowLiteObjC/Core": [
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105 "TensorFlowLiteC/Metal": [
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108 "TensorFlowLiteObjC/Core": [
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119 "source_files": "tensorflow/lite/objc/tests/TFLMetalDelegateTests.m",
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