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[CocoaPods.git] / Specs / 5 / a / d / TensorFlowLiteObjC / 0.0.1-nightly.20221009 / TensorFlowLiteObjC.podspec.json
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2   "name": "TensorFlowLiteObjC",
3   "version": "0.0.1-nightly.20221009",
4   "authors": "Google Inc.",
5   "license": {
6     "type": "Apache"
7   },
8   "homepage": "https://github.com/tensorflow/tensorflow",
9   "source": {
10     "git": "https://github.com/tensorflow/tensorflow.git",
11     "commit": "02f9b72ff5ad90aa1dcfcb8c378b1c05776dd05f"
12   },
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",
16   "platforms": {
17     "ios": "11.0"
18   },
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   },
25   "user_target_xcconfig": {
26     "EXCLUDED_ARCHS[sdk=iphonesimulator*]": "i386"
27   },
28   "default_subspecs": "Core",
29   "subspecs": [
30     {
31       "name": "Core",
32       "public_header_files": "tensorflow/lite/objc/apis/*.h",
33       "source_files": [
34         "tensorflow/lite/objc/{apis,sources}/*.{h,m,mm}",
35         "tensorflow/lite/builtin_ops.h",
36         "tensorflow/lite/c/c_api.h",
37         "tensorflow/lite/core/c/c_api.h",
38         "tensorflow/lite/c/c_api_experimental.h",
39         "tensorflow/lite/c/c_api_types.h",
40         "tensorflow/lite/c/common.h",
41         "tensorflow/lite/delegates/xnnpack/xnnpack_delegate.h"
42       ],
43       "exclude_files": [
44         "tensorflow/lite/objc/{apis,sources}/TFL{Metal,CoreML}Delegate.{h,m}"
45       ],
46       "dependencies": {
47         "TensorFlowLiteC": [
48           "0.0.1-nightly.20221009"
49         ]
50       },
51       "testspecs": [
52         {
53           "name": "Tests",
54           "test_type": "unit",
55           "source_files": "tensorflow/lite/objc/tests/*.m",
56           "exclude_files": "tensorflow/lite/objc/tests/TFL{Metal,CoreML}DelegateTests.m",
57           "resources": [
58             "tensorflow/lite/testdata/add.bin",
59             "tensorflow/lite/testdata/add_quantized.bin",
60             "tensorflow/lite/testdata/multi_signatures.bin"
61           ]
62         }
63       ]
64     },
65     {
66       "name": "CoreML",
67       "source_files": [
68         "tensorflow/lite/objc/{apis,sources}/TFLCoreMLDelegate.{h,m}"
69       ],
70       "platforms": {
71         "ios": "12.0"
72       },
73       "dependencies": {
74         "TensorFlowLiteC/CoreML": [
75           "0.0.1-nightly.20221009"
76         ],
77         "TensorFlowLiteObjC/Core": [
78           "0.0.1-nightly.20221009"
79         ]
80       },
81       "testspecs": [
82         {
83           "name": "Tests",
84           "test_type": "unit",
85           "source_files": "tensorflow/lite/objc/tests/TFLCoreMLDelegateTests.m",
86           "resources": [
87             "tensorflow/lite/testdata/add.bin"
88           ]
89         }
90       ]
91     },
92     {
93       "name": "Metal",
94       "source_files": [
95         "tensorflow/lite/objc/{apis,sources}/TFLMetalDelegate.{h,m}"
96       ],
97       "dependencies": {
98         "TensorFlowLiteC/Metal": [
99           "0.0.1-nightly.20221009"
100         ],
101         "TensorFlowLiteObjC/Core": [
102           "0.0.1-nightly.20221009"
103         ]
104       },
105       "testspecs": [
106         {
107           "name": "Tests",
108           "test_type": "unit",
109           "source_files": "tensorflow/lite/objc/tests/TFLMetalDelegateTests.m",
110           "resources": [
111             "tensorflow/lite/testdata/multi_add.bin"
112           ]
113         }
114       ]
115     }
116   ]