chore: import upstream snapshot with attribution

tensorflow/lite/swift/docsgen/TensorFlowLiteSwift/TensorFlowLiteSwift/Info.plist

@@ -0,0 +1,22 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
+<plist version="1.0">
+<dict>
+	<key>CFBundleDevelopmentRegion</key>
+	<string>$(DEVELOPMENT_LANGUAGE)</string>
+	<key>CFBundleExecutable</key>
+	<string>$(EXECUTABLE_NAME)</string>
+	<key>CFBundleIdentifier</key>
+	<string>$(PRODUCT_BUNDLE_IDENTIFIER)</string>
+	<key>CFBundleInfoDictionaryVersion</key>
+	<string>6.0</string>
+	<key>CFBundleName</key>
+	<string>$(PRODUCT_NAME)</string>
+	<key>CFBundlePackageType</key>
+	<string>$(PRODUCT_BUNDLE_PACKAGE_TYPE)</string>
+	<key>CFBundleShortVersionString</key>
+	<string>1.0</string>
+	<key>CFBundleVersion</key>
+	<string>$(CURRENT_PROJECT_VERSION)</string>
+</dict>
+</plist>

tensorflow/lite/swift/docsgen/TensorFlowLiteSwift/TensorFlowLiteSwift/TensorFlowLiteSwift.h

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+/* Copyright 2021 The TensorFlow Authors. All Rights Reserved.
+
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+    http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.
+==============================================================================*/
+
+#import <Foundation/Foundation.h>
+
+//! Project version number for TensorFlowLiteSwift.
+FOUNDATION_EXPORT double TensorFlowLiteSwiftVersionNumber;
+
+//! Project version string for TensorFlowLiteSwift.
+FOUNDATION_EXPORT const unsigned char TensorFlowLiteSwiftVersionString[];
+
+// In this header, you should import all the public headers of your framework
+// using statements like #import <TensorFlowLiteSwift/PublicHeader.h>

tensorflow/lite/swift/docsgen/TensorFlowLiteSwift/scripts/download_frameworks.sh

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+#!/bin/sh
+# Copyright 2020 The TensorFlow Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+# Make sure we're running in Xcode environment
+if [ -z "${SRCROOT}" ]
+then
+      exit 1
+fi
+
+# Download TF Lite models from the internet if it does not exist.
+FRAMEWORK_FOLDER="${SRCROOT}/Frameworks"
+TFLITE_TAR="${FRAMEWORK_FOLDER}/TensorFlowLiteC"
+TFLITE_C="${FRAMEWORK_FOLDER}/TensorFlowLiteC-2.4.0"
+
+if [[ -d "$TFLITE_C" ]]; then
+  echo "INFO: TFLite frameworks already exist. Skip downloading and use the local frameworks."
+else
+  mkdir -p "${FRAMEWORK_FOLDER}"
+  curl -o "${TFLITE_TAR}" -L "https://dl.google.com/dl/cpdc/e8a95c1d411b795e/TensorFlowLiteC-2.4.0.tar.gz"
+  tar -xvf "${TFLITE_TAR}" -C "${FRAMEWORK_FOLDER}"
+  rm "${TFLITE_TAR}"
+  echo "INFO: Downloaded TensorFlow frameworks to $TFLITE_C."
+fi