Cleans up supporting files for Swift and ObjC TensorFlow Lite libraries to make them consistent.

PiperOrigin-RevId: 236400962

tensorflow/lite/experimental/objc/BUILD.apple

@@ -1,4 +1,4 @@
-# TensorFlow Lite Objective-C API.
+# TensorFlow Lite for Objective-C
 
 package(default_visibility = ["//visibility:private"])
 
@@ -83,11 +83,13 @@ ios_unit_test(
         "notsan",
         "nomsan",
     ],
-    deps = [":TensorFlowLiteTestsLib"],
+    deps = [
+        ":TestsLib",
+    ],
 )
 
 objc_library(
-    name = "TensorFlowLiteTestsLib",
+    name = "TestsLib",
     testonly = 1,
     srcs = glob([
         "tests/*.m",

tensorflow/lite/experimental/objc/README.md

@@ -1,4 +1,4 @@
-# TensorFlow Lite Objective-C Library
+# TensorFlow Lite for Objective-C
 
 [TensorFlow Lite](https://www.tensorflow.org/lite/) is TensorFlow's lightweight
 solution for Objective-C developers. It enables low-latency inference of
@@ -44,9 +44,11 @@ bazel test tensorflow/lite/experimental/objc:TensorFlowLiteTests
 
 ### Tulsi
 
-Open the `TensorFlowLiteObjc.tulsiproj` using the Tulsi application on Mac or by
+Open the `TensorFlowLite.tulsiproj` using the
-running the following command in Terminal from the root source directory:
+[TulsiApp](https://github.com/bazelbuild/tulsi) or by running the
+[`generate_xcodeproj.sh`](https://github.com/bazelbuild/tulsi/blob/master/src/tools/generate_xcodeproj.sh)
+script from the root `tensorflow` directory:
 
 ```shell
-generate_xcodeproj.sh --genconfig tensorflow/lite/experimental/objc/TensorFlowLiteObjc.tulsiproj:TensorFlowLiteObjC --outputfolder ~/path/to/xcodeproj
+generate_xcodeproj.sh --genconfig tensorflow/lite/experimental/objc/TensorFlowLite.tulsiproj:TensorFlowLite --outputfolder ~/path/to/generated/TensorFlowLite.xcodeproj
 ```

tensorflow/lite/experimental/objc/TensorFlowLite.tulsiproj/Configs/TensorFlowLite.tulsigen

@@ -15,7 +15,7 @@
     "//tensorflow/lite/experimental/objc:TensorFlowLite",
     "//tensorflow/lite/experimental/objc:TensorFlowLiteTests",
   ],
-  "projectName" : "TensorFlowLiteObjC",
+  "projectName" : "TensorFlowLite",
   "optionSet" : {
     "LaunchActionPreActionScript" : {
       "p" : "$(inherited)"

tensorflow/lite/experimental/objc/TensorFlowLite.tulsiproj/project.tulsiconf

@@ -9,7 +9,7 @@
       },
     }
   },
-  "projectName" : "TensorFlowLiteObjC",
+  "projectName" : "TensorFlowLite",
   "packages" : [
     "tensorflow/lite/experimental/objc"
   ],

tensorflow/lite/experimental/swift/BUILD.apple

@@ -1,4 +1,4 @@
-# TensorFlow Lite for Swift.
+# TensorFlow Lite for Swift
 
 package(default_visibility = ["//visibility:private"])
 
@@ -11,10 +11,6 @@ load("@build_bazel_rules_swift//swift:swift.bzl", "swift_library")
 
 MINIMUM_OS_VERSION = "9.0"
 
-SWIFT_COPTS = [
-    "-wmo",
-]
-
 # Default tags for filtering targets. Targets in this file are restricted to Apple platforms.
 DEFAULT_TAGS = [
     "apple",
@@ -24,7 +20,6 @@ DEFAULT_TAGS = [
 swift_library(
     name = "TensorFlowLite",
     srcs = glob(["Sources/*.swift"]),
-    copts = SWIFT_COPTS,
     module_name = "TensorFlowLite",
     tags = DEFAULT_TAGS,
     deps = [
@@ -42,31 +37,11 @@ ios_unit_test(
         "nomsan",
         "notsan",
     ],
-    deps = [":TensorFlowLiteTestsLib"],
-)
-
-swift_library(
-    name = "TensorFlowLiteTestsLib",
-    testonly = 1,
-    srcs = glob(["Tests/*.swift"]),
-    copts = SWIFT_COPTS,
-    tags = DEFAULT_TAGS,
     deps = [
-        ":TensorFlowLite",
+        ":TestsLib",
-        ":TestResources",
     ],
 )
 
-objc_library(
-    name = "TestResources",
-    data = [
-        "//tensorflow/lite:testdata/add.bin",
-        "//tensorflow/lite:testdata/add_quantized.bin",
-        "//tensorflow/lite:testdata/multi_add.bin",
-    ],
-    tags = DEFAULT_TAGS,
-)
-
 ios_application(
     name = "TensorFlowLiteApp",
     app_icons = glob(["TestApps/TensorFlowLiteApp/TensorFlowLiteApp/Assets.xcassets/AppIcon.appiconset/**"]),
@@ -82,25 +57,50 @@ ios_application(
         "CoreGraphics",
     ],
     tags = DEFAULT_TAGS,
-    deps = [":TensorFlowLiteAppLib"],
+    deps = [
+        ":AppLib",
+    ],
 )
 
 swift_library(
-    name = "TensorFlowLiteAppLib",
+    name = "TestsLib",
+    testonly = 1,
+    srcs = glob(["Tests/*.swift"]),
+    tags = DEFAULT_TAGS,
+    deps = [
+        ":Resources",
+        ":TensorFlowLite",
+    ],
+)
+
+swift_library(
+    name = "AppLib",
     srcs = glob(["TestApps/TensorFlowLiteApp/TensorFlowLiteApp/*.swift"]),
     module_name = "TensorFlowLiteAppLib",
     tags = DEFAULT_TAGS,
     deps = [
+        ":AppResources",
         ":TensorFlowLite",
-        ":TensorFlowLiteAppResources",
     ],
 )
 
 objc_library(
-    name = "TensorFlowLiteAppResources",
+    name = "Resources",
+    data = [
+        "//tensorflow/lite:testdata/add.bin",
+        "//tensorflow/lite:testdata/add_quantized.bin",
+        "//tensorflow/lite:testdata/multi_add.bin",
+    ],
+    tags = DEFAULT_TAGS,
+)
+
+objc_library(
+    name = "AppResources",
     data = glob([
         "TestApps/TensorFlowLiteApp/TensorFlowLiteApp/Base.lproj/*.storyboard",
     ]),
     tags = DEFAULT_TAGS,
-    deps = [":TestResources"],
+    deps = [
+        ":Resources",
+    ],
 )

tensorflow/lite/experimental/swift/README.md

@@ -52,10 +52,12 @@ Note that `--swiftcopt=-enable-testing` is required for optimized builds (`-c op
 
 ### Tulsi
 
-Open the `TensorFlowLite.tulsiproj` using the [TulsiApp](https://github.com/bazelbuild/tulsi) or by
+Open the `TensorFlowLite.tulsiproj` using the
-running the [`generate_xcodeproj.sh`](https://github.com/bazelbuild/tulsi/blob/master/src/tools/generate_xcodeproj.sh)
+[TulsiApp](https://github.com/bazelbuild/tulsi)
-script:
+or by running the
+[`generate_xcodeproj.sh`](https://github.com/bazelbuild/tulsi/blob/master/src/tools/generate_xcodeproj.sh)
+script from the root `tensorflow` directory:
 
 ```shell
-generate_xcodeproj.sh --genconfig tensorflow/lite/swift/TensorFlowLite.tulsiproj:TensorFlowLite --outputfolder ~/path/to/generated/TensorFlowLite.xcodeproj
+generate_xcodeproj.sh --genconfig tensorflow/lite/experimental/swift/TensorFlowLite.tulsiproj:TensorFlowLite --outputfolder ~/path/to/generated/TensorFlowLite.xcodeproj
 ```