Setup nightly releases for TensorFlowLiteSwift and TensorFlowLiteObjC pods

Nightly build is only released when there is code change in the corresponding source files.

PiperOrigin-RevId: 309751282
Change-Id: I760dce08545b1bca0c96b9d3a2fd3a4801fdb135

tensorflow/lite/experimental/objc/TensorFlowLiteObjC.podspec.template

@@ -0,0 +1,46 @@
+Pod::Spec.new do |s|
+  s.name             = 'TensorFlowLiteObjC'
+  s.version          = '${TFL_BUILD_VERSION}'
+  s.authors          = 'Google Inc.'
+  s.license          = { :type => 'Apache' }
+  s.homepage         = 'https://github.com/tensorflow/tensorflow'
+  s.source           = { :git => 'https://github.com/tensorflow/tensorflow.git', :commit => '${SOURCE_COMMIT}' }
+  s.summary          = 'TensorFlow Lite for Objective-C'
+  s.description      = <<-DESC
+
+  TensorFlow Lite is TensorFlow's lightweight solution for Objective-C
+  developers. It enables low-latency inference of on-device machine learning
+  models with a small binary size and fast performance supporting hardware
+  acceleration.
+                       DESC
+
+  s.ios.deployment_target = '9.0'
+
+  s.module_name = 'TFLTensorFlowLite'
+  s.static_framework = true
+
+  tfl_dir = 'tensorflow/lite/'
+  objc_dir = tfl_dir + 'experimental/objc/'
+  s.public_header_files = objc_dir + 'apis/*.h'
+  s.source_files = [
+    objc_dir + '{apis,sources}/*.{h,m,mm}',
+    tfl_dir + 'experimental/c/c_api.h',
+    tfl_dir + 'experimental/c/c_api_types.h',
+  ]
+  s.module_map = objc_dir + 'apis/framework.modulemap'
+  s.dependency 'TensorFlowLiteC', '~> 0.0.1-nightly'
+  s.pod_target_xcconfig = {
+    'HEADER_SEARCH_PATHS' =>
+      '"${PODS_TARGET_SRCROOT}" ' +
+      '"${PODS_TARGET_SRCROOT}/' + objc_dir  + 'apis"',
+    'VALID_ARCHS' => 'x86_64 armv7 arm64',
+  }
+
+  s.test_spec 'Tests' do |ts|
+    ts.source_files = objc_dir + 'tests/*.m'
+    ts.resources = [
+      tfl_dir + 'testdata/add.bin',
+      tfl_dir + 'testdata/add_quantized.bin',
+    ]
+  end
+end

tensorflow/lite/experimental/swift/TensorFlowLiteSwift.podspec.template

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+Pod::Spec.new do |s|
+  s.name             = 'TensorFlowLiteSwift'
+  s.version          = '${TFL_BUILD_VERSION}'
+  s.authors          = 'Google Inc.'
+  s.license          = { :type => 'Apache' }
+  s.homepage         = 'https://github.com/tensorflow/tensorflow'
+  s.source           = { :git => 'https://github.com/tensorflow/tensorflow.git', :commit => '${SOURCE_COMMIT}' }
+  s.summary          = 'TensorFlow Lite for Swift'
+  s.description      = <<-DESC
+
+  TensorFlow Lite is TensorFlow's lightweight solution for Swift developers. It
+  enables low-latency inference of on-device machine learning models with a
+  small binary size and fast performance supporting hardware acceleration.
+                       DESC
+
+  s.ios.deployment_target = '9.0'
+
+  s.module_name = 'TensorFlowLite'
+  s.static_framework = true
+
+  tfl_dir = 'tensorflow/lite/'
+  swift_dir = tfl_dir + 'experimental/swift/'
+  s.source_files = swift_dir + 'Sources/*.swift'
+  s.dependency 'TensorFlowLiteC', '~> 0.0.1-nightly'
+
+  s.test_spec 'Tests' do |ts|
+    ts.source_files = swift_dir + 'Tests/*.swift'
+    ts.resources = [
+      tfl_dir + 'testdata/add.bin',
+      tfl_dir + 'testdata/add_quantized.bin',
+    ]
+  end
+end