Move metadata, codegen and java lib into the new repo.

BUILD

@@ -1,17 +1,5 @@
-# TFLite Support is a toolkit that helps users to develop ML and deploy TFLite
-# models onto mobile devices.
-
-package(
-    default_visibility = ["//visibility:private"],
-    licenses = ["notice"],  # Apache 2.0
-)
-
-exports_files(["LICENSE"])
-
-package_group(
-    name = "users",
-    packages = [
-        "//research/kernel/softskills/...",
-        "//third_party/tensorflow_lite_support/...",
+exports_files(
+    [
+        "LICENSE",
     ],
 )

WORKSPACE

@@ -14,28 +14,95 @@ http_archive(
 
 http_archive(
     name = "org_tensorflow",
-    strip_prefix = "tensorflow-2.2.0",
-    sha256 = "fd3e6580cfe2035aa80d569b76bba5f33119362907f3d77039b6bedf76172712",
+    sha256 = "bb8b10da8184ce747f0348ea5b0d0aaf9e9bbe63cf68363d0e1bcdb72b4d3315",
+    strip_prefix = "tensorflow-5d49dc5526324443931a33cc84d66c8bcae9cea2",
     urls = [
-        "https://github.com/tensorflow/tensorflow/archive/v2.2.0.zip"
+        "https://github.com/tensorflow/tensorflow/archive/5d49dc5526324443931a33cc84d66c8bcae9cea2.zip",  # 2020-06-13
     ],
 )
 
-# Configure TF.
-load("@org_tensorflow//tensorflow:workspace.bzl", "tf_workspace")
+# Set up dependencies. Need to do this before set up TF so that our modification
+# could take effects.
+load("//third_party:repo.bzl", "third_party_http_archive")
+
+third_party_http_archive(
+    name = "pybind11",
+    urls = [
+        "https://storage.googleapis.com/mirror.tensorflow.org/github.com/pybind/pybind11/archive/v2.4.3.tar.gz",
+        "https://github.com/pybind/pybind11/archive/v2.4.3.tar.gz",
+    ],
+    sha256 = "1eed57bc6863190e35637290f97a20c81cfe4d9090ac0a24f3bbf08f265eb71d",
+    strip_prefix = "pybind11-2.4.3",
+    build_file = "//third_party:pybind11.BUILD",
+)
+
+http_archive(
+    name = "absl_py",
+    sha256 = "603febc9b95a8f2979a7bdb77d2f5e4d9b30d4e0d59579f88eba67d4e4cc5462",
+    strip_prefix = "abseil-py-pypi-v0.9.0",
+    urls = [
+        "https://storage.googleapis.com/mirror.tensorflow.org/github.com/abseil/abseil-py/archive/pypi-v0.9.0.tar.gz",
+        "https://github.com/abseil/abseil-py/archive/pypi-v0.9.0.tar.gz",
+    ],
+)
 
+http_archive(
+    name = "com_google_absl",
+    build_file = "//third_party:com_google_absl.BUILD",
+    sha256 = "f368a8476f4e2e0eccf8a7318b98dafbe30b2600f4e3cf52636e5eb145aba06a",
+    strip_prefix = "abseil-cpp-df3ea785d8c30a9503321a3d35ee7d35808f190d",
+    urls = [
+        "https://storage.googleapis.com/mirror.tensorflow.org/github.com/abseil/abseil-cpp/archive/df3ea785d8c30a9503321a3d35ee7d35808f190d.tar.gz",
+        "https://github.com/abseil/abseil-cpp/archive/df3ea785d8c30a9503321a3d35ee7d35808f190d.tar.gz",
+    ],
+)
+
+http_archive(
+    name = "six_archive",
+    build_file = "//third_party:six.BUILD",
+    sha256 = "d16a0141ec1a18405cd4ce8b4613101da75da0e9a7aec5bdd4fa804d0e0eba73",
+    strip_prefix = "six-1.12.0",
+    urls = [
+        "https://storage.googleapis.com/mirror.tensorflow.org/pypi.python.org/packages/source/s/six/six-1.12.0.tar.gz",
+        "https://pypi.python.org/packages/source/s/six/six-1.12.0.tar.gz",
+    ],
+)
+
+load("//third_party/flatbuffers:workspace.bzl", flatbuffers = "repo")
+
+flatbuffers()
+
+
+# Set up TF.
+load("@org_tensorflow//tensorflow:workspace.bzl", "tf_workspace")
 tf_workspace(tf_repo_name="@org_tensorflow")
 
 load("//third_party/tensorflow:tf_configure.bzl", "tf_configure")
-
 tf_configure(name = "local_config_tf")
 
+# TF submodule compilation doesn't take care of grpc deps. Do it manually here.
+load("@com_github_grpc_grpc//bazel:grpc_deps.bzl", "grpc_deps")
+grpc_deps()
 
-# Configure Android.
-load("//third_party/android:android_configure.bzl", "android_configure")
+load(
+    "@build_bazel_rules_apple//apple:repositories.bzl",
+    "apple_rules_dependencies",
+)
+apple_rules_dependencies()
 
-android_configure(name="local_config_android")
+load(
+    "@build_bazel_apple_support//lib:repositories.bzl",
+    "apple_support_dependencies",
+)
+apple_support_dependencies()
+
+load("@upb//bazel:repository_defs.bzl", "bazel_version_repository")
+bazel_version_repository(name = "bazel_version")
 
-load("@local_config_android//:android.bzl", "android_workspace")
 
+# Set up Android.
+load("//third_party/android:android_configure.bzl", "android_configure")
+android_configure(name="local_config_android")
+load("@local_config_android//:android.bzl", "android_workspace")
 android_workspace()
+

tensorflow_lite_support/BUILD

@@ -0,0 +1,17 @@
+# TFLite Support is a toolkit that helps users to develop ML and deploy TFLite
+# models onto mobile devices.
+
+package(
+    default_visibility = ["//visibility:private"],
+    licenses = ["notice"],  # Apache 2.0
+)
+
+exports_files(["LICENSE"])
+
+package_group(
+    name = "users",
+    packages = [
+        "//research/kernel/softskills/...",
+        "//tensorflow_lite_support/...",
+    ],
+)

tensorflow_lite_support/codegen/BUILD

@@ -0,0 +1,86 @@
+# The tools for generating wrapper classes for a TFLite model with metadata.
+
+package(
+    default_visibility = [
+        "//visibility:public",
+    ],
+    licenses = ["notice"],  # Apache 2.0
+)
+
+cc_library(
+    name = "utils",
+    srcs = [
+        "utils.cc",
+    ],
+    hdrs = [
+        "utils.h",
+    ],
+    deps = [
+    ],
+)
+
+cc_library(
+    name = "code_generator",
+    srcs = [
+        "code_generator.cc",
+    ],
+    hdrs = [
+        "code_generator.h",
+    ],
+    deps = [
+        ":utils",
+        "//tensorflow_lite_support/metadata:metadata_schema_cc",
+    ],
+)
+
+cc_library(
+    name = "metadata_helper",
+    srcs = [
+        "metadata_helper.cc",
+    ],
+    hdrs = [
+        "metadata_helper.h",
+    ],
+    deps = [
+        ":utils",
+        "//tensorflow_lite_support/metadata:metadata_schema_cc",
+        "@org_tensorflow//tensorflow/lite/schema:schema_fbs",
+    ],
+)
+
+cc_library(
+    name = "android_java_generator",
+    srcs = [
+        "android_java_generator.cc",
+    ],
+    hdrs = [
+        "android_java_generator.h",
+    ],
+    deps = [
+        ":code_generator",
+        ":metadata_helper",
+        ":utils",
+        "//tensorflow_lite_support/metadata:metadata_schema_cc",
+        "@org_tensorflow//tensorflow/lite/schema:schema_fbs",
+    ],
+)
+
+cc_test(
+    name = "code_generator_test",
+    size = "small",
+    srcs = ["code_generator_test.cc"],
+    data = ["//tensorflow_lite_support/metadata:metadata_schema.fbs"],
+    deps = [
+        ":code_generator",
+        "@com_google_googletest//:gtest_main",
+    ],
+)
+
+cc_test(
+    name = "utils_test",
+    srcs = ["utils_test.cc"],
+    deps = [
+        ":utils",
+        "@com_google_googletest//:gtest_main",
+    ],
+)

tensorflow_lite_support/codegen/README.md

@@ -0,0 +1,13 @@
+# TensorFlow Lite Android Wrapper Code Generator
+
+For TensorFlow Lite model enhanced with [metadata](https://www.tensorflow.org/lite/convert/metadata.md),
+developers can use the TensorFlow Lite Android wrapper code generator to create
+platform specific wrapper code. The wrapper code removes the need to interact
+directly with `ByteBuffer`. Instead, developers can interact with the TensorFlow
+Lite model with typed objects such as `Bitmap` and `Rect`.
+
+The usefulness of the code generator depend on the completeness of the
+TensorFlow Lite model's metadata entry. Refer to the `<Codegen usage>` section
+under relevant fields in
+[metadata_schema.fbs](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/lite/experimental/support/metadata/metadata_schema.fbs),
+to see how the codegen tool parses each field.