chore: import upstream snapshot with attribution

2026-07-13 12:14:16 +08:00
commit 8a852e4b4e
36502 changed files with 9277225 additions and 0 deletions
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+# Generating docs for TensorFlowLiteSwift
+
+Documentation is generated via [Jazzy](https://github.com/realm/jazzy) (Googlers
+see cr/363774564 for more details).
+
+To browse the Swift reference documentation visit
+https://www.tensorflow.org/lite/api_docs/swift.
+
+This directory contains a dummy Xcode project for generating documentation for
+TensorFlowLiteSwift via Jazzy, an open-source tool that hooks into Xcode's
+build tooling to parse doc comments. Unfortunately, TensorFlowLiteSwift is not
+primarily developed via xcodebuild, so the docs build can potentially become
+decoupled from upstream TensorFlowLiteSwift development.
+
+Known issues:
+- Every new file added to TensorFlowLiteSwift's BUILD must also manually be
+  added to this Xcode project.
+- This project (and the resulting documentation) does not split types  by
+  module, so there's no way to tell from looking at the generated documentation
+  which modules must be included in order to access a specific type.
+- The TensorFlowLiteC dependency is included in binary form, contributing
+  significant bloat to the git repository since each binary contains unused
+  architecture slices.
+
+To generate documentation outside of Google, run jazzy as you would on any other
+Swift module:
+
+```
+jazzy \
+  --swift-build-tool xcodebuild \
+  --module "TensorFlowLiteSwift" \
+  --author "The TensorFlow Authors" \
+  --sdk iphoneos \
+```
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+<?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>
@@ -0,0 +1,25 @@
+/* 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>
@@ -0,0 +1,35 @@
+#!/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