[Add] Plotline 4.1.5
[CocoaPods.git] / Specs / 5 / a / d / TensorFlowLiteObjC / 0.0.1-nightly.20200507 / TensorFlowLiteObjC.podspec.json
blob8b101b5ad56148a822c9dc7d2c46af39dcb54e88
2   "name": "TensorFlowLiteObjC",
3   "version": "0.0.1-nightly.20200507",
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": "0ea9a77e77e6a94cd2dc2baa84f502affd738970"
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   "platforms": {
16     "ios": "9.0"
17   },
18   "module_name": "TFLTensorFlowLite",
19   "static_framework": true,
20   "public_header_files": "tensorflow/lite/experimental/objc/apis/*.h",
21   "source_files": [
22     "tensorflow/lite/experimental/objc/{apis,sources}/*.{h,m,mm}",
23     "tensorflow/lite/c/c_api.h",
24     "tensorflow/lite/c/common.h"
25   ],
26   "module_map": "tensorflow/lite/experimental/objc/apis/framework.modulemap",
27   "dependencies": {
28     "TensorFlowLiteC": [
29       "~> 0.0.1-nightly"
30     ]
31   },
32   "pod_target_xcconfig": {
33     "HEADER_SEARCH_PATHS": "\"${PODS_TARGET_SRCROOT}\" \"${PODS_TARGET_SRCROOT}/tensorflow/lite/experimental/objc/apis\"",
34     "VALID_ARCHS": "i386 x86_64 armv7 arm64"
35   },
36   "testspecs": [
37     {
38       "name": "Tests",
39       "test_type": "unit",
40       "source_files": "tensorflow/lite/experimental/objc/tests/*.m",
41       "resources": [
42         "tensorflow/lite/testdata/add.bin",
43         "tensorflow/lite/testdata/add_quantized.bin"
44       ]
45     }
46   ]