Automated rollback of commit 9bd459e4ceba14f9bb1af98d52a109325de952e8

PiperOrigin-RevId: 216463491

18 files changed, 0 insertions, 1520 deletions

diff --git a/tensorflow/contrib/lite/experimental/objc/BUILD b/tensorflow/contrib/lite/experimental/objc/BUILD
deleted file mode 100644
index 236b96adb5..0000000000
--- a/tensorflow/contrib/lite/experimental/objc/BUILD
+++ /dev/null
@@ -1,94 +0,0 @@
-# TensorFlow Lite Objective-C API.
-
-package(default_visibility = ["//visibility:private"])
-
-licenses(["notice"])  # Apache 2.0
-
-load("//tools/build_defs/apple:ios.bzl", "ios_unit_test")
-
-SOURCES = glob([
-    "sources/*.h",
-    "sources/*.m",
-    "sources/*.mm",
-])
-
-API_HEADERS = glob([
-    "apis/*.h",
-])
-
-MINIMUM_OS_VERSION = "8.0"
-
-# Compiler flags for building regular non-test libraries.
-RELEASE_COPTS = [
-    # Enables language-specific warnings for Objective-C, Objective-C++, C, and C++.
-    "-Wall",
-    # Warns if functions, variables, and types marked with the deprecated attribute are being used.
-    "-Wdeprecated-declarations",
-    # Warns for errors in documentation.
-    "-Wdocumentation",
-    # Turns all warnings into errors.
-    "-Werror",
-    # Enables extra warning flags that are not enabled by -Wall.
-    "-Wextra",
-    # Warns if a global function is defined without a previous prototype declaration.
-    "-Wmissing-prototypes",
-    # From -Wextra. Disables warning when signed value is converted to unsigned value during comparison.
-    "-Wno-sign-compare",
-    # From -Wextra. Disables warning for unused parameters, which are common in delegate methods and block callbacks.
-    "-Wno-unused-parameter",
-    # Warns if a global or local variable or type declaration shadows another variable, parameter, type, class member, or instance variable.
-    "-Wshadow",
-    # Warns if a function is declared or defined without specifying the argument types. For a block with no args, use (void) instead of ().
-    "-Wstrict-prototypes",
-    # Warns if an @selector() expression is encountered with a method name that hasn't been defined yet.
-    "-Wundeclared-selector",
-
-    # Turn off warnings for headers not part of TensorFlow Lite Objective-C API.
-    "--system-header-prefix=third_party/tensorflow/contrib/lite/experimental/c/",
-]
-
-# Compiler flags for building test libraries.
-TEST_COPTS = RELEASE_COPTS + [
-    # From -Wall. Disables warning when passing nil to a callee that requires a non-null argument.
-    "-Wno-nonnull",
-    # Disables warning when a global or local variable or type declaration shadows another.
-    "-Wno-shadow",
-]
-
-objc_library(
-    name = "TensorFlowLiteObjCLib",
-    srcs = SOURCES,
-    hdrs = API_HEADERS,
-    copts = RELEASE_COPTS,
-    deps = [
-        "//tensorflow/contrib/lite/experimental/c:c_api",
-    ],
-    alwayslink = 1,
-)
-
-ios_unit_test(
-    name = "TensorFlowLiteObjCTests",
-    size = "small",
-    minimum_os_version = MINIMUM_OS_VERSION,
-    deps = [":TensorFlowLiteObjCTestLib"],
-)
-
-objc_library(
-    name = "TensorFlowLiteObjCTestLib",
-    testonly = 1,
-    srcs = glob([
-        "tests/*.m",
-    ]),
-    hdrs = glob([
-        "apis/*.h",
-        "sources/*.h",
-        "tests/*.h",
-    ]),
-    copts = TEST_COPTS,
-    resources = [
-        "//tensorflow/contrib/lite:testdata/add.bin",
-    ],
-    deps = [
-        ":TensorFlowLiteObjCLib",
-    ],
-)
diff --git a/tensorflow/contrib/lite/experimental/objc/README.md b/tensorflow/contrib/lite/experimental/objc/README.md
deleted file mode 100644
index e8f150b1e8..0000000000
--- a/tensorflow/contrib/lite/experimental/objc/README.md
+++ /dev/null
@@ -1,10 +0,0 @@
-# TensorFlow Lite Objective-C API
-
-## TensorFlowLiteObjc Tulsi Project
-
-Open the `TensorFlowLiteObjc.tulsiproj` using the Tulsi application on Mac or by
-running the following command in Terminal from the root source directory:
-
-```shell
-generate_xcodeproj.sh --genconfig tensorflow/contrib/lite/experimental/objc/TensorFlowLiteObjc.tulsiproj:TensorFlowLiteObjC --outputfolder ~/path/to/xcodeproj
-```
diff --git a/tensorflow/contrib/lite/experimental/objc/TensorFlowLiteObjc.tulsiproj/Configs/TensorFlowLiteObjc.tulsigen b/tensorflow/contrib/lite/experimental/objc/TensorFlowLiteObjc.tulsiproj/Configs/TensorFlowLiteObjc.tulsigen
deleted file mode 100644
index babb5902d3..0000000000
--- a/tensorflow/contrib/lite/experimental/objc/TensorFlowLiteObjc.tulsiproj/Configs/TensorFlowLiteObjc.tulsigen
+++ /dev/null
@@ -1,60 +0,0 @@
-{
-  "sourceFilters" : [
-    "third_party/tensorflow/contrib/lite",
-    "third_party/tensorflow/contrib/lite/experimental/c",
-    "third_party/tensorflow/contrib/lite/experimental/objc",
-    "third_party/tensorflow/contrib/lite/experimental/objc/apis",
-    "third_party/tensorflow/contrib/lite/experimental/objc/sources",
-    "third_party/tensorflow/contrib/lite/experimental/objc/tests",
-    "third_party/tensorflow/contrib/lite/kernels",
-    "third_party/tensorflow/contrib/lite/kernels/internal",
-    "third_party/tensorflow/contrib/lite/nnapi",
-    "third_party/tensorflow/contrib/lite/schema",
-  ],
-  "buildTargets" : [
-    "//third_party/tensorflow/contrib/lite/experimental/objc:TensorFlowLiteObjCLib",
-    "//third_party/tensorflow/contrib/lite/experimental/objc:TensorFlowLiteObjCTests",
-  ],
-  "projectName" : "TensorFlowLiteObjC",
-  "optionSet" : {
-    "LaunchActionPreActionScript" : {
-      "p" : "$(inherited)"
-    },
-    "BazelBuildStartupOptionsRelease" : {
-      "p" : "$(inherited)"
-    },
-    "BazelBuildOptionsRelease" : {
-      "p" : "$(inherited)"
-    },
-    "BazelBuildOptionsDebug" : {
-      "p" : "$(inherited)"
-    },
-    "EnvironmentVariables" : {
-      "p" : "$(inherited)"
-    },
-    "BuildActionPreActionScript" : {
-      "p" : "$(inherited)"
-    },
-    "CommandlineArguments" : {
-      "p" : "$(inherited)"
-    },
-    "TestActionPreActionScript" : {
-      "p" : "$(inherited)"
-    },
-    "BazelBuildStartupOptionsDebug" : {
-      "p" : "$(inherited)"
-    },
-    "BuildActionPostActionScript" : {
-      "p" : "$(inherited)"
-    },
-    "TestActionPostActionScript" : {
-      "p" : "$(inherited)"
-    },
-    "LaunchActionPostActionScript" : {
-      "p" : "$(inherited)"
-    }
-  },
-  "additionalFilePaths" : [
-    "third_party/tensorflow/contrib/lite/experimental/objc/BUILD",
-  ]
-}
diff --git a/tensorflow/contrib/lite/experimental/objc/TensorFlowLiteObjc.tulsiproj/project.tulsiconf b/tensorflow/contrib/lite/experimental/objc/TensorFlowLiteObjc.tulsiproj/project.tulsiconf
deleted file mode 100644
index 00299cd4cf..0000000000
--- a/tensorflow/contrib/lite/experimental/objc/TensorFlowLiteObjc.tulsiproj/project.tulsiconf
+++ /dev/null
@@ -1,17 +0,0 @@
-{
-  "configDefaults" : {
-    "optionSet" : {
-      "BazelBuildOptionsDebug" : {
-        "p" : "--ios_minimum_os=8.0"
-      },
-      "BazelBuildOptionsRelease" : {
-        "p" : "--ios_minimum_os=8.0"
-      },
-    }
-  },
-  "projectName" : "TensorFlowLiteObjC",
-  "packages" : [
-    "third_party/tensorflow/contrib/lite/experimental/objc"
-  ],
-  "workspaceRoot" : "../../../../../../.."
-}
diff --git a/tensorflow/contrib/lite/experimental/objc/apis/TFLInterpreter.h b/tensorflow/contrib/lite/experimental/objc/apis/TFLInterpreter.h
deleted file mode 100644
index c07ffc06ff..0000000000
--- a/tensorflow/contrib/lite/experimental/objc/apis/TFLInterpreter.h
+++ /dev/null
@@ -1,188 +0,0 @@
-// Copyright 2018 Google Inc. 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>
-
-@class TFLInterpreterOptions;
-@class TFLTensor;
-
-NS_ASSUME_NONNULL_BEGIN
-
-/**
- * @enum TFLInterpreterErrorCode
- * This enum specifies various error codes related to `TFLInterpreter`.
- */
-typedef NS_ENUM(NSUInteger, TFLInterpreterErrorCode) {
-  /** Provided tensor index is invalid. */
-  TFLInterpreterErrorCodeInvalidTensorIndex,
-
-  /** Input data has invalid byte size. */
-  TFLInterpreterErrorCodeInvalidInputByteSize,
-
-  /** Provided shape is invalid. It must be a non-empty array of positive unsigned integers. */
-  TFLInterpreterErrorCodeInvalidShape,
-
-  /** Provided model cannot be loaded. */
-  TFLInterpreterErrorCodeFailedToLoadModel,
-
-  /** Failed to create `TFLInterpreter`. */
-  TFLInterpreterErrorCodeFailedToCreateInterpreter,
-
-  /** Failed to invoke `TFLInterpreter`. */
-  TFLInterpreterErrorCodeFailedToInvoke,
-
-  /** Failed to retrieve a tensor. */
-  TFLInterpreterErrorCodeFailedToGetTensor,
-
-  /** Failed to resize an input tensor. */
-  TFLInterpreterErrorCodeFailedToResizeInputTensor,
-
-  /** Failed to copy data into an input tensor. */
-  TFLInterpreterErrorCodeFailedToCopyDataToInputTensor,
-
-  /** Failed to get data from an output tensor. */
-  TFLInterpreterErrorCodeFailedToGetDataFromOutputTensor,
-
-  /** Failed to allocate memory for tensors. */
-  TFLInterpreterErrorCodeFailedToAllocateTensors,
-
-  /** Operaton not allowed without allocating memory for tensors first. */
-  TFLInterpreterErrorCodeAllocateTensorsRequired,
-
-  /** Operaton not allowed without invoking the interpreter first. */
-  TFLInterpreterErrorCodeInvokeInterpreterRequired,
-};
-
-/**
- * A TensorFlow Lite model interpreter.
- */
-@interface TFLInterpreter : NSObject
-
-/** The total number of input tensors. 0 if the interpreter creation failed. */
-@property(nonatomic, readonly) NSUInteger inputTensorCount;
-
-/** The total number of output tensors. 0 if the interpreter creation failed. */
-@property(nonatomic, readonly) NSUInteger outputTensorCount;
-
-/** Unavailable. */
-- (instancetype)init NS_UNAVAILABLE;
-
-/**
- * Initializes a new TensorFlow Lite interpreter instance with the given model file path and the
- * default interpreter options.
- *
- * @param modelPath An absolute path to a TensorFlow Lite model file stored locally on the device.
- *
- * @return A new instance of `TFLInterpreter` with the given model and the default interpreter
- *     options.
- */
-- (instancetype)initWithModelPath:(NSString *)modelPath;
-
-/**
- * Initializes a new TensorFlow Lite interpreter instance with the given model file path and
- * options.
- *
- * @param modelPath An absolute path to a TensorFlow Lite model file stored locally on the device.
- * @param options Options to use for configuring the TensorFlow Lite interpreter.
- *
- * @return A new instance of `TFLInterpreter` with the given model and options.
- */
-- (instancetype)initWithModelPath:(NSString *)modelPath
-                          options:(TFLInterpreterOptions *)options NS_DESIGNATED_INITIALIZER;
-
-/**
- * Invokes the interpreter to run inference.
- *
- * @param error An optional error parameter populated when there is an error in invoking the
- *     interpreter.
- *
- * @return Whether the invocation is successful. Returns NO if an error occurred.
- */
-- (BOOL)invokeWithError:(NSError **)error;
-
-/**
- * Returns the input tensor at the given index.
- *
- * @param index The index of an input tensor.
- * @param error An optional error parameter populated when there is an error in looking up the input
- *     tensor.
- *
- * @return The input tensor at the given index. `nil` if there is an error.
- */
-- (nullable TFLTensor *)inputTensorAtIndex:(NSUInteger)index error:(NSError **)error;
-
-/**
- * Returns the output tensor at the given index.
- *
- * @param index The index of an output tensor.
- * @param error An optional error parameter populated when there is an error in looking up the
- *     output tensor.
- *
- * @return The output tensor at the given index. `nil` if there is an error.
- */
-- (nullable TFLTensor *)outputTensorAtIndex:(NSUInteger)index error:(NSError **)error;
-
-/**
- * Resizes the input tensor at the given index to the specified shape (an array of positive unsigned
- * integers).
- *
- * @param index The index of an input tensor.
- * @param shape Shape that the given input tensor should be resized to. It should be an array of
- *     positive unsigned integer(s) containing the size of each dimension.
- * @param error An optional error parameter populated when there is an error in resizing the input
- *     tensor.
- *
- * @return Whether the input tensor was resized successfully. Returns NO if an error occurred.
- */
-- (BOOL)resizeInputTensorAtIndex:(NSUInteger)index
-                         toShape:(NSArray<NSNumber *> *)shape
-                           error:(NSError **)error;
-
-/**
- * Copies the given data into the input tensor at the given index. This is allowed only before the
- * interpreter is invoked.
- *
- * @param data The data to set. The byte size of the data must match what's required by the given
- *     input tensor.
- * @param index The index of an input tensor.
- * @param error An optional error parameter populated when there is an error in setting the data.
- *
- * @return Whether the data was set into the input tensor successfully. Returns NO if an error
- *     occurred.
- */
-- (BOOL)copyData:(NSData *)data toInputTensorAtIndex:(NSUInteger)index error:(NSError **)error;
-
-/**
- * Gets the data from the output tensor at the given index. The interpreter invocation has to
- * complete before the data can be retrieved from an output tensor.
- *
- * @param index The index of an output tensor.
- * @param error An optional error parameter populated when there is an error in getting the data.
- *
- * @return The data of the output tensor at the given index. `nil` if there is an error.
- */
-- (nullable NSData *)dataFromOutputTensorAtIndex:(NSUInteger)index error:(NSError **)error;
-
-/**
- * Allocates memory for tensors.
- *
- * @param error An optional error parameter populated when there is an error in allocating memory.
- *
- * @return Whether memory allocation is successful. Returns NO if an error occurred.
- */
-- (BOOL)allocateTensorsWithError:(NSError **)error;
-
-@end
-
-NS_ASSUME_NONNULL_END
diff --git a/tensorflow/contrib/lite/experimental/objc/apis/TFLInterpreterOptions.h b/tensorflow/contrib/lite/experimental/objc/apis/TFLInterpreterOptions.h
deleted file mode 100644
index 6461fbf017..0000000000
--- a/tensorflow/contrib/lite/experimental/objc/apis/TFLInterpreterOptions.h
+++ /dev/null
@@ -1,37 +0,0 @@
-// Copyright 2018 Google Inc. 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>
-
-NS_ASSUME_NONNULL_BEGIN
-
-/** Custom configuration options for a TensorFlow Lite interpreter. */
-@interface TFLInterpreterOptions : NSObject
-
-/**
- * Maximum number of threads that the interpreter should run on. Defaults to 0 (unspecified, letting
- * TensorFlow Lite to optimize the threading decision).
- */
-@property(nonatomic) NSUInteger numberOfThreads;
-
-/**
- * Initializes a new instance of `TFLInterpreterOptions`.
- *
- * @return A new instance of `TFLInterpreterOptions`.
- */
-- (instancetype)init NS_DESIGNATED_INITIALIZER;
-
-@end
-
-NS_ASSUME_NONNULL_END
diff --git a/tensorflow/contrib/lite/experimental/objc/apis/TFLQuantizationParameters.h b/tensorflow/contrib/lite/experimental/objc/apis/TFLQuantizationParameters.h
deleted file mode 100644
index 3d5cf793c5..0000000000
--- a/tensorflow/contrib/lite/experimental/objc/apis/TFLQuantizationParameters.h
+++ /dev/null
@@ -1,36 +0,0 @@
-// Copyright 2018 Google Inc. 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>
-
-NS_ASSUME_NONNULL_BEGIN
-
-/**
- * Parameters for asymmetric quantization. Quantized values can be converted to float values using:
- * `realValue = scale * (quantizedValue - zeroPoint)`.
- */
-@interface TFLQuantizationParameters : NSObject
-
-/** Scale of asymmetric quantization. */
-@property(nonatomic, readonly) float scale;
-
-/** Zero point of asymmetric quantization. */
-@property(nonatomic, readonly) int32_t zeroPoint;
-
-/** Unavailable. */
-- (instancetype)init NS_UNAVAILABLE;
-
-@end
-
-NS_ASSUME_NONNULL_END
diff --git a/tensorflow/contrib/lite/experimental/objc/apis/TFLTensor.h b/tensorflow/contrib/lite/experimental/objc/apis/TFLTensor.h
deleted file mode 100644
index d08b8fc0e9..0000000000
--- a/tensorflow/contrib/lite/experimental/objc/apis/TFLTensor.h
+++ /dev/null
@@ -1,77 +0,0 @@
-// Copyright 2018 Google Inc. 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>
-
-@class TFLQuantizationParameters;
-
-NS_ASSUME_NONNULL_BEGIN
-
-/**
- * @enum TFLTensorDataType
- * This enum specifies supported TensorFlow Lite tensor data types.
- */
-typedef NS_ENUM(NSUInteger, TFLTensorDataType) {
-  /** Tensor data type not available. This indicates an error with the model. */
-  TFLTensorDataTypeNoType,
-
-  /** 32-bit single precision floating point. */
-  TFLTensorDataTypeFloat32,
-
-  /** 32-bit signed integer. */
-  TFLTensorDataTypeInt32,
-
-  /** 8-bit unsigned integer. */
-  TFLTensorDataTypeUInt8,
-
-  /** 64-bit signed integer. */
-  TFLTensorDataTypeInt64,
-
-  /** Boolean. */
-  TFLTensorDataTypeBool,
-
-  /** 16-bit signed integer. */
-  TFLTensorDataTypeInt16,
-};
-
-/**
- * An input or output tensor in a TensorFlow Lite model.
- */
-@interface TFLTensor : NSObject
-
-/** Name of the tensor. */
-@property(nonatomic, readonly, copy) NSString *name;
-
-/** Data type of the tensor. */
-@property(nonatomic, readonly) TFLTensorDataType dataType;
-
-/**
- * Shape of the tensor, an array of positive unsigned integer(s) containing the size of each
- * dimension. For example: the shape of [[[1, 1, 1], [2, 2, 2]], [[3, 3, 3], [4, 4, 4]]] is
- * [2, 2, 3].
- */
-@property(nonatomic, readonly, copy) NSArray<NSNumber *> *shape;
-
-/** Number of bytes for the tensor data. */
-@property(nonatomic, readonly) NSUInteger byteSize;
-
-/** Parameters for asymmetric quantization. `nil` if the tensor does not use quantization. */
-@property(nonatomic, readonly, nullable) TFLQuantizationParameters *quantizationParameters;
-
-/** Unavailable. */
-- (instancetype)init NS_UNAVAILABLE;
-
-@end
-
-NS_ASSUME_NONNULL_END
diff --git a/tensorflow/contrib/lite/experimental/objc/sources/TFLErrorUtil.h b/tensorflow/contrib/lite/experimental/objc/sources/TFLErrorUtil.h
deleted file mode 100644
index b6fd4763d6..0000000000
--- a/tensorflow/contrib/lite/experimental/objc/sources/TFLErrorUtil.h
+++ /dev/null
@@ -1,51 +0,0 @@
-// Copyright 2018 Google Inc. 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>
-
-#import "third_party/tensorflow/contrib/lite/experimental/objc/apis/TFLInterpreter.h"
-
-NS_ASSUME_NONNULL_BEGIN
-
-/** Helper utility for error reporting. */
-@interface TFLErrorUtil : NSObject
-
-/**
- * Creates and returns an interpreter error with the given error code and description.
- *
- * @param code Error code.
- * @param description Error description.
- *
- * @return The created interpreter error with the given error code and description.
- */
-+ (NSError *)interpreterErrorWithCode:(TFLInterpreterErrorCode)code
-                          description:(NSString *)description;
-
-/**
- * Creates and saves an interpreter error with the given error code and description.
- *
- * @param code Error code.
- * @param description Error description.
- * @param error Pointer to where to save the created error. If `nil`, no error will be saved.
- */
-+ (void)saveInterpreterErrorWithCode:(TFLInterpreterErrorCode)code
-                         description:(NSString *)description
-                               error:(NSError **)error;
-
-/** Unavailable. */
-- (instancetype)init NS_UNAVAILABLE;
-
-@end
-
-NS_ASSUME_NONNULL_END
diff --git a/tensorflow/contrib/lite/experimental/objc/sources/TFLErrorUtil.m b/tensorflow/contrib/lite/experimental/objc/sources/TFLErrorUtil.m
deleted file mode 100644
index 756d69481c..0000000000
--- a/tensorflow/contrib/lite/experimental/objc/sources/TFLErrorUtil.m
+++ /dev/null
@@ -1,45 +0,0 @@
-// Copyright 2018 Google Inc. 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 "TFLErrorUtil.h"
-
-NS_ASSUME_NONNULL_BEGIN
-
-/** Error domain of TensorFlow Lite interpreter related errors. */
-static NSString *const TFLInterpreterErrorDomain = @"org.tensorflow.lite.interpreter";
-
-@implementation TFLErrorUtil
-
-#pragma mark - Public
-
-+ (NSError *)interpreterErrorWithCode:(TFLInterpreterErrorCode)code
-                          description:(NSString *)description {
-  return [NSError errorWithDomain:TFLInterpreterErrorDomain
-                             code:code
-                         userInfo:@{NSLocalizedDescriptionKey : description}];
-}
-
-+ (void)saveInterpreterErrorWithCode:(TFLInterpreterErrorCode)code
-                         description:(NSString *)description
-                               error:(NSError **)error {
-  if (error) {
-    *error = [NSError errorWithDomain:TFLInterpreterErrorDomain
-                                 code:code
-                             userInfo:@{NSLocalizedDescriptionKey : description}];
-  }
-}
-
-@end
-
-NS_ASSUME_NONNULL_END
diff --git a/tensorflow/contrib/lite/experimental/objc/sources/TFLInterpreter.mm b/tensorflow/contrib/lite/experimental/objc/sources/TFLInterpreter.mm
deleted file mode 100644
index 0f940a5cf3..0000000000
--- a/tensorflow/contrib/lite/experimental/objc/sources/TFLInterpreter.mm
+++ /dev/null
@@ -1,440 +0,0 @@
-// Copyright 2018 Google Inc. 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 "third_party/tensorflow/contrib/lite/experimental/objc/apis/TFLInterpreter.h"
-
-#import "TFLErrorUtil.h"
-#import "TFLTensor+Internal.h"
-#import "third_party/tensorflow/contrib/lite/experimental/objc/apis/TFLInterpreterOptions.h"
-#import "third_party/tensorflow/contrib/lite/experimental/objc/apis/TFLTensor.h"
-
-#include "third_party/tensorflow/contrib/lite/experimental/c/c_api.h"
-
-NS_ASSUME_NONNULL_BEGIN
-
-/**
- * @enum TFLTensorType
- * This enum specifies input or output tensor types.
- */
-typedef NS_ENUM(NSUInteger, TFLTensorType) {
-  /** Input tensor type. */
-  TFLTensorTypeInput,
-
-  /** Output tensor type. */
-  TFLTensorTypeOutput,
-};
-
-// Names used for indicating input or output in error messages.
-static NSString *const kTFLInputDirection = @"input";
-static NSString *const kTFLOutputDirection = @"output";
-
-/**
- * Error reporter for TFLInterpreter.
- *
- * @param user_data User data. Not used.
- * @param format Error message which may contain argument formatting specifiers.
- * @param args Values of the arguments in the error message.
- */
-static void TFLInterpreterErrorReporter(void *user_data, const char *format, va_list args) {
-  NSLog(@"%@", [[NSString alloc] initWithFormat:@(format) arguments:args]);
-}
-
-@interface TFLInterpreter ()
-
-/** TFL_Interpreter backed by C API. */
-@property(nonatomic, nullable) TFL_Interpreter *interpreter;
-
-/**
- * An error in initializing the interpreter. If not `nil`, this error will be reported when the
- * interpreter is used.
- */
-@property(nonatomic, nullable) NSError *initializationError;
-
-@end
-
-@implementation TFLInterpreter
-
-#pragma mark - NSObject
-
-- (void)dealloc {
-  TFL_DeleteInterpreter(_interpreter);
-}
-
-#pragma mark - Public
-
-- (instancetype)initWithModelPath:(NSString *)modelPath {
-  return [self initWithModelPath:modelPath options:[[TFLInterpreterOptions alloc] init]];
-}
-
-- (instancetype)initWithModelPath:(NSString *)modelPath options:(TFLInterpreterOptions *)options {
-  self = [super init];
-
-  if (self != nil) {
-    const char *modelPathCString = modelPath.UTF8String;
-    NSString *pathErrorString =
-        [NSString stringWithFormat:@"Cannot load model from path (%@).", modelPath];
-    if (modelPathCString == nullptr) {
-      _initializationError =
-          [TFLErrorUtil interpreterErrorWithCode:TFLInterpreterErrorCodeFailedToLoadModel
-                                     description:pathErrorString];
-      return self;
-    }
-
-    TFL_Model *model = TFL_NewModelFromFile(modelPathCString);
-    if (model == nullptr) {
-      _initializationError =
-          [TFLErrorUtil interpreterErrorWithCode:TFLInterpreterErrorCodeFailedToLoadModel
-                                     description:pathErrorString];
-      return self;
-    }
-
-    TFL_InterpreterOptions *cOptions = TFL_NewInterpreterOptions();
-    if (cOptions == nullptr) {
-      _initializationError =
-          [TFLErrorUtil interpreterErrorWithCode:TFLInterpreterErrorCodeFailedToCreateInterpreter
-                                     description:@"Failed to create the interpreter."];
-      TFL_DeleteModel(model);
-      return self;
-    }
-
-    if (options.numberOfThreads > 0) {
-      TFL_InterpreterOptionsSetNumThreads(cOptions, (int32_t)options.numberOfThreads);
-    }
-    TFL_InterpreterOptionsSetErrorReporter(cOptions, TFLInterpreterErrorReporter, nullptr);
-
-    _interpreter = TFL_NewInterpreter(model, cOptions);
-    if (_interpreter == nullptr) {
-      _initializationError =
-          [TFLErrorUtil interpreterErrorWithCode:TFLInterpreterErrorCodeFailedToCreateInterpreter
-                                     description:@"Failed to create the interpreter."];
-    } else {
-      _inputTensorCount = (NSUInteger)TFL_InterpreterGetInputTensorCount(_interpreter);
-      _outputTensorCount = (NSUInteger)TFL_InterpreterGetOutputTensorCount(_interpreter);
-      if (_inputTensorCount <= 0 || _outputTensorCount <= 0) {
-        _initializationError =
-            [TFLErrorUtil interpreterErrorWithCode:TFLInterpreterErrorCodeFailedToCreateInterpreter
-                                       description:@"Failed to create the interpreter."];
-      }
-    }
-    TFL_DeleteInterpreterOptions(cOptions);
-    TFL_DeleteModel(model);
-  }
-
-  return self;
-}
-
-- (BOOL)invokeWithError:(NSError **)error {
-  if (self.initializationError != nil) {
-    [self saveInitializationErrorToDestination:error];
-    return NO;
-  }
-
-  if (TFL_InterpreterInvoke(self.interpreter) != kTfLiteOk) {
-    [TFLErrorUtil saveInterpreterErrorWithCode:TFLInterpreterErrorCodeFailedToInvoke
-                                   description:@"Failed to invoke the interpreter."
-                                         error:error];
-    return NO;
-  }
-
-  return YES;
-}
-
-- (nullable TFLTensor *)inputTensorAtIndex:(NSUInteger)index error:(NSError **)error {
-  if (self.initializationError != nil) {
-    [self saveInitializationErrorToDestination:error];
-    return nil;
-  }
-
-  if (![self isValidTensorIndex:index belowLimit:self.inputTensorCount error:error]) {
-    return nil;
-  }
-
-  return [self tensorOfType:TFLTensorTypeInput atIndex:index error:error];
-}
-
-- (nullable TFLTensor *)outputTensorAtIndex:(NSUInteger)index error:(NSError **)error {
-  if (self.initializationError != nil) {
-    [self saveInitializationErrorToDestination:error];
-    return nil;
-  }
-
-  if (![self isValidTensorIndex:index belowLimit:self.outputTensorCount error:error]) {
-    return nil;
-  }
-
-  return [self tensorOfType:TFLTensorTypeOutput atIndex:index error:error];
-}
-
-- (BOOL)resizeInputTensorAtIndex:(NSUInteger)index
-                         toShape:(NSArray<NSNumber *> *)shape
-                           error:(NSError **)error {
-  if (self.initializationError != nil) {
-    [self saveInitializationErrorToDestination:error];
-    return NO;
-  }
-
-  if (![self isValidTensorIndex:index belowLimit:self.inputTensorCount error:error]) {
-    return NO;
-  }
-
-  if (shape.count == 0) {
-    [TFLErrorUtil saveInterpreterErrorWithCode:TFLInterpreterErrorCodeInvalidShape
-                                   description:@"Invalid shape. Must not be empty."
-                                         error:error];
-    return NO;
-  }
-
-  int cDimensions[self.inputTensorCount];
-  for (int d = 0; d < shape.count; ++d) {
-    int dimension = shape[d].intValue;
-    if (dimension <= 0) {
-      NSString *errorDescription = @"Invalid shape. Dimensions must be positive integers.";
-      [TFLErrorUtil saveInterpreterErrorWithCode:TFLInterpreterErrorCodeInvalidShape
-                                     description:errorDescription
-                                           error:error];
-      return NO;
-    }
-    cDimensions[d] = dimension;
-  }
-
-  if (TFL_InterpreterResizeInputTensor(self.interpreter, (int32_t)index, cDimensions,
-                                       (int32_t)shape.count) != kTfLiteOk) {
-    NSString *errorDescription = [NSString
-        stringWithFormat:@"Failed to resize input tensor at index (%lu).", (unsigned long)index];
-    [TFLErrorUtil saveInterpreterErrorWithCode:TFLInterpreterErrorCodeFailedToResizeInputTensor
-                                   description:errorDescription
-                                         error:error];
-    return NO;
-  }
-
-  return YES;
-}
-
-- (BOOL)copyData:(NSData *)data toInputTensorAtIndex:(NSUInteger)index error:(NSError **)error {
-  if (self.initializationError != nil) {
-    [self saveInitializationErrorToDestination:error];
-    return NO;
-  }
-
-  if (![self isValidTensorIndex:index belowLimit:self.inputTensorCount error:error]) {
-    return NO;
-  }
-
-  TFL_Tensor *tensor = TFL_InterpreterGetInputTensor(self.interpreter, (int32_t)index);
-  if (tensor == nullptr) {
-    NSString *errorDescription = [NSString
-        stringWithFormat:@"Failed to get input tensor at index (%lu).", (unsigned long)index];
-    [TFLErrorUtil saveInterpreterErrorWithCode:TFLInterpreterErrorCodeFailedToCopyDataToInputTensor
-                                   description:errorDescription
-                                         error:error];
-    return NO;
-  }
-
-  NSUInteger byteSize = (NSUInteger)TFL_TensorByteSize(tensor);
-  if (data.length != byteSize) {
-    NSString *errorDescription = [NSString
-        stringWithFormat:@"Input tensor at index (%lu) expects data size (%lu), but got (%lu).",
-                         (unsigned long)index, byteSize, (unsigned long)data.length];
-    [TFLErrorUtil saveInterpreterErrorWithCode:TFLInterpreterErrorCodeInvalidInputByteSize
-                                   description:errorDescription
-                                         error:error];
-    return NO;
-  }
-
-  if (TFL_TensorCopyFromBuffer(tensor, data.bytes, data.length) != kTfLiteOk) {
-    NSString *errorDescription =
-        [NSString stringWithFormat:@"Failed to copy data into input tensor at index (%lu).",
-                                   (unsigned long)index];
-    [TFLErrorUtil saveInterpreterErrorWithCode:TFLInterpreterErrorCodeFailedToCopyDataToInputTensor
-                                   description:errorDescription
-                                         error:error];
-    return NO;
-  }
-
-  return YES;
-}
-
-- (nullable NSData *)dataFromOutputTensorAtIndex:(NSUInteger)index error:(NSError **)error {
-  if (self.initializationError != nil) {
-    [self saveInitializationErrorToDestination:error];
-    return nil;
-  }
-
-  if (![self isValidTensorIndex:index belowLimit:self.outputTensorCount error:error]) {
-    return nil;
-  }
-
-  const TFL_Tensor *tensor = TFL_InterpreterGetOutputTensor(self.interpreter, (int32_t)index);
-  if (tensor == nullptr) {
-    NSString *errorDescription = [NSString
-        stringWithFormat:@"Failed to get output tensor at index (%lu).", (unsigned long)index];
-    [TFLErrorUtil
-        saveInterpreterErrorWithCode:TFLInterpreterErrorCodeFailedToGetDataFromOutputTensor
-                         description:errorDescription
-                               error:error];
-    return nil;
-  }
-
-  void *bytes = TFL_TensorData(tensor);
-  NSUInteger byteSize = (NSUInteger)TFL_TensorByteSize(tensor);
-  if (bytes == nullptr || byteSize == 0) {
-    NSString *errorDescription = [NSString
-        stringWithFormat:@"Failed to get output tensor data at index (%lu).", (unsigned long)index];
-    [TFLErrorUtil
-        saveInterpreterErrorWithCode:TFLInterpreterErrorCodeFailedToGetDataFromOutputTensor
-                         description:errorDescription
-                               error:error];
-    return nil;
-  }
-
-  return [NSData dataWithBytes:bytes length:byteSize];
-}
-
-- (BOOL)allocateTensorsWithError:(NSError **)error {
-  if (self.initializationError != nil) {
-    [self saveInitializationErrorToDestination:error];
-    return NO;
-  }
-
-  if (TFL_InterpreterAllocateTensors(self.interpreter) != kTfLiteOk) {
-    [TFLErrorUtil saveInterpreterErrorWithCode:TFLInterpreterErrorCodeFailedToAllocateTensors
-                                   description:@"Failed to allocate memory for tensors."
-                                         error:error];
-    return NO;
-  }
-  return YES;
-}
-
-#pragma mark - Private
-
-- (nullable TFLTensor *)tensorOfType:(TFLTensorType)type
-                             atIndex:(NSUInteger)index
-                               error:(NSError **)error {
-  const TFL_Tensor *tensor = nullptr;
-  NSString *tensorType;
-  switch (type) {
-    case TFLTensorTypeInput:
-      tensor = TFL_InterpreterGetInputTensor(self.interpreter, (int32_t)index);
-      tensorType = kTFLInputDirection;
-      break;
-    case TFLTensorTypeOutput:
-      tensor = TFL_InterpreterGetOutputTensor(self.interpreter, (int32_t)index);
-      tensorType = kTFLOutputDirection;
-      break;
-  }
-
-  if (tensor == nullptr) {
-    NSString *errorDescription =
-        [NSString stringWithFormat:@"Failed to get %@ tensor at index (%lu).", tensorType,
-                                   (unsigned long)index];
-    [TFLErrorUtil saveInterpreterErrorWithCode:TFLInterpreterErrorCodeFailedToGetTensor
-                                   description:errorDescription
-                                         error:error];
-    return nil;
-  }
-
-  const char *cName = TFL_TensorName(tensor);
-  if (cName == nullptr) {
-    NSString *errorDescription =
-        [NSString stringWithFormat:@"Failed to get name of %@ tensor at index (%lu).", tensorType,
-                                   (unsigned long)index];
-    [TFLErrorUtil saveInterpreterErrorWithCode:TFLInterpreterErrorCodeFailedToGetTensor
-                                   description:errorDescription
-                                         error:error];
-    return nil;
-  }
-  NSString *name = [NSString stringWithUTF8String:cName];
-
-  TFLTensorDataType dataType = [self tensorDataTypeFromCTensorType:TFL_TensorType(tensor)];
-
-  int32_t rank = TFL_TensorNumDims(tensor);
-  if (rank <= 0) {
-    NSString *errorDescription =
-        [NSString stringWithFormat:@"%@ tensor at index (%lu) has invalid rank (%d).", tensorType,
-                                   (unsigned long)index, rank];
-    [TFLErrorUtil saveInterpreterErrorWithCode:TFLInterpreterErrorCodeFailedToGetTensor
-                                   description:errorDescription
-                                         error:error];
-    return nil;
-  }
-  NSMutableArray *shape = [NSMutableArray arrayWithCapacity:rank];
-  for (int32_t d = 0; d < rank; d++) {
-    int32_t dimension = TFL_TensorDim(tensor, d);
-    if (dimension <= 0) {
-      NSString *errorDescription =
-          [NSString stringWithFormat:@"%@ tensor at index (%lu) has invalid %d-th dimension (%d).",
-                                     tensorType, (unsigned long)index, d, dimension];
-      [TFLErrorUtil saveInterpreterErrorWithCode:TFLInterpreterErrorCodeFailedToGetTensor
-                                     description:errorDescription
-                                           error:error];
-      return nil;
-    }
-    shape[d] = @((NSUInteger)dimension);
-  }
-
-  // TODO: Set quantization parameters when C API supports it.
-  return [[TFLTensor alloc] initWithName:name
-                                dataType:dataType
-                                   shape:shape
-                                byteSize:(NSUInteger)TFL_TensorByteSize(tensor)
-                  quantizationParameters:nil];
-}
-
-- (TFLTensorDataType)tensorDataTypeFromCTensorType:(TFL_Type)cTensorType {
-  switch (cTensorType) {
-    case kTfLiteFloat32:
-      return TFLTensorDataTypeFloat32;
-    case kTfLiteInt32:
-      return TFLTensorDataTypeInt32;
-    case kTfLiteUInt8:
-      return TFLTensorDataTypeUInt8;
-    case kTfLiteInt64:
-      return TFLTensorDataTypeInt64;
-    case kTfLiteBool:
-      return TFLTensorDataTypeBool;
-    case kTfLiteInt16:
-      return TFLTensorDataTypeInt16;
-    case kTfLiteNoType:
-    case kTfLiteString:
-    case kTfLiteComplex64:
-      // kTfLiteString and kTfLiteComplex64 are not supported in TensorFlow Lite Objc API.
-      return TFLTensorDataTypeNoType;
-  }
-}
-
-- (void)saveInitializationErrorToDestination:(NSError **)destination {
-  if (destination != NULL) {
-    *destination = self.initializationError;
-  }
-}
-
-- (BOOL)isValidTensorIndex:(NSUInteger)index
-                belowLimit:(NSUInteger)totalTensorCount
-                     error:(NSError **)error {
-  if (index >= totalTensorCount) {
-    NSString *errorDescription =
-        [NSString stringWithFormat:@"Invalid tensor index (%lu) exceeds max (%lu).",
-                                   (unsigned long)index, (unsigned long)(totalTensorCount - 1)];
-    [TFLErrorUtil saveInterpreterErrorWithCode:TFLInterpreterErrorCodeInvalidTensorIndex
-                                   description:errorDescription
-                                         error:error];
-    return NO;
-  }
-
-  return YES;
-}
-
-@end
-
-NS_ASSUME_NONNULL_END
diff --git a/tensorflow/contrib/lite/experimental/objc/sources/TFLInterpreterOptions.m b/tensorflow/contrib/lite/experimental/objc/sources/TFLInterpreterOptions.m
deleted file mode 100644
index 1776688288..0000000000
--- a/tensorflow/contrib/lite/experimental/objc/sources/TFLInterpreterOptions.m
+++ /dev/null
@@ -1,30 +0,0 @@
-// Copyright 2018 Google Inc. 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 "third_party/tensorflow/contrib/lite/experimental/objc/apis/TFLInterpreterOptions.h"
-
-NS_ASSUME_NONNULL_BEGIN
-
-@implementation TFLInterpreterOptions
-
-#pragma mark - Public
-
-- (instancetype)init {
-  self = [super init];
-  return self;
-}
-
-@end
-
-NS_ASSUME_NONNULL_END
diff --git a/tensorflow/contrib/lite/experimental/objc/sources/TFLQuantizationParameters.m b/tensorflow/contrib/lite/experimental/objc/sources/TFLQuantizationParameters.m
deleted file mode 100644
index 190f0479ce..0000000000
--- a/tensorflow/contrib/lite/experimental/objc/sources/TFLQuantizationParameters.m
+++ /dev/null
@@ -1,23 +0,0 @@
-// Copyright 2018 Google Inc. 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 "third_party/tensorflow/contrib/lite/experimental/objc/apis/TFLQuantizationParameters.h"
-
-NS_ASSUME_NONNULL_BEGIN
-
-@implementation TFLQuantizationParameters
-
-@end
-
-NS_ASSUME_NONNULL_END
diff --git a/tensorflow/contrib/lite/experimental/objc/sources/TFLTensor+Internal.h b/tensorflow/contrib/lite/experimental/objc/sources/TFLTensor+Internal.h
deleted file mode 100644
index f2f13e5e5f..0000000000
--- a/tensorflow/contrib/lite/experimental/objc/sources/TFLTensor+Internal.h
+++ /dev/null
@@ -1,42 +0,0 @@
-// Copyright 2018 Google Inc. 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 "third_party/tensorflow/contrib/lite/experimental/objc/apis/TFLTensor.h"
-
-NS_ASSUME_NONNULL_BEGIN
-
-@interface TFLTensor (Internal)
-
-/**
- * Initializes a `TFLTensor` with the given name, data type, shape, and quantization parameters.
- *
- * @param name Name of the tensor.
- * @param dataType Data type of the tensor.
- * @param shape Shape of the tensor.
- * @param byteSize Size of the tensor data in number of bytes.
- * @param quantizationParameters Quantization parameters of the tensor. `nil` if the tensor does not
- *     use quantization.
- *
- * @return A new instance of `TFLTensor` with the given name, data type, shape, and quantization
- *     parameters.
- */
-- (instancetype)initWithName:(NSString *)name
-                    dataType:(TFLTensorDataType)dataType
-                       shape:(NSArray<NSNumber *> *)shape
-                    byteSize:(NSUInteger)byteSize
-      quantizationParameters:(nullable TFLQuantizationParameters *)quantizationParameters;
-
-@end
-
-NS_ASSUME_NONNULL_END
diff --git a/tensorflow/contrib/lite/experimental/objc/sources/TFLTensor.m b/tensorflow/contrib/lite/experimental/objc/sources/TFLTensor.m
deleted file mode 100644
index adb1c5ad2c..0000000000
--- a/tensorflow/contrib/lite/experimental/objc/sources/TFLTensor.m
+++ /dev/null
@@ -1,54 +0,0 @@
-// Copyright 2018 Google Inc. 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 "third_party/tensorflow/contrib/lite/experimental/objc/apis/TFLTensor.h"
-
-#import "TFLTensor+Internal.h"
-
-NS_ASSUME_NONNULL_BEGIN
-
-@interface TFLTensor ()
-
-// Redefines readonly properties.
-@property(nonatomic, copy) NSString *name;
-@property(nonatomic) TFLTensorDataType dataType;
-@property(nonatomic, copy) NSArray<NSNumber *> *shape;
-@property(nonatomic) NSUInteger byteSize;
-@property(nonatomic, nullable) TFLQuantizationParameters *quantizationParameters;
-
-@end
-
-@implementation TFLTensor
-
-#pragma mark - TFLTensor (Internal)
-
-- (instancetype)initWithName:(NSString *)name
-                    dataType:(TFLTensorDataType)dataType
-                       shape:(NSArray<NSNumber *> *)shape
-                    byteSize:(NSUInteger)byteSize
-      quantizationParameters:(nullable TFLQuantizationParameters *)quantizationParameters {
-  self = [super init];
-  if (self != nil) {
-    _name = [name copy];
-    _dataType = dataType;
-    _shape = [shape copy];
-    _byteSize = byteSize;
-    _quantizationParameters = quantizationParameters;
-  }
-  return self;
-}
-
-@end
-
-NS_ASSUME_NONNULL_END
diff --git a/tensorflow/contrib/lite/experimental/objc/tests/TFLInterpreterOptionsTests.m b/tensorflow/contrib/lite/experimental/objc/tests/TFLInterpreterOptionsTests.m
deleted file mode 100644
index 17c495fa18..0000000000
--- a/tensorflow/contrib/lite/experimental/objc/tests/TFLInterpreterOptionsTests.m
+++ /dev/null
@@ -1,49 +0,0 @@
-// Copyright 2018 Google Inc. 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 "third_party/tensorflow/contrib/lite/experimental/objc/apis/TFLInterpreterOptions.h"
-
-#import <XCTest/XCTest.h>
-
-NS_ASSUME_NONNULL_BEGIN
-
-/**
- * Unit tests for TFLInterpreterOptions.
- */
-@interface TFLInterpreterOptionsTests : XCTestCase
-@end
-
-@implementation TFLInterpreterOptionsTests
-
-#pragma mark - Tests
-
-- (void)testInit {
-  TFLInterpreterOptions *options = [[TFLInterpreterOptions alloc] init];
-  XCTAssertNotNil(options);
-  XCTAssertEqual(options.numberOfThreads, 0);
-}
-
-- (void)testSetNumberOfThread {
-  TFLInterpreterOptions *options = [[TFLInterpreterOptions alloc] init];
-  options.numberOfThreads = 2;
-  XCTAssertEqual(options.numberOfThreads, 2);
-  options.numberOfThreads = 0;
-  XCTAssertEqual(options.numberOfThreads, 0);
-  options.numberOfThreads = 3;
-  XCTAssertEqual(options.numberOfThreads, 3);
-}
-
-@end
-
-NS_ASSUME_NONNULL_END
diff --git a/tensorflow/contrib/lite/experimental/objc/tests/TFLInterpreterTests.m b/tensorflow/contrib/lite/experimental/objc/tests/TFLInterpreterTests.m
deleted file mode 100644
index 9e6319a732..0000000000
--- a/tensorflow/contrib/lite/experimental/objc/tests/TFLInterpreterTests.m
+++ /dev/null
@@ -1,266 +0,0 @@
-// Copyright 2018 Google Inc. 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 "third_party/tensorflow/contrib/lite/experimental/objc/apis/TFLInterpreter.h"
-
-#import <XCTest/XCTest.h>
-
-#import "third_party/tensorflow/contrib/lite/experimental/objc/apis/TFLInterpreterOptions.h"
-#import "third_party/tensorflow/contrib/lite/experimental/objc/apis/TFLTensor.h"
-
-NS_ASSUME_NONNULL_BEGIN
-
-/** Model resource name. */
-static NSString *const kAddModelResourceName = @"add";
-
-/** Model resource type. */
-static NSString *const kAddModelResourceType = @"bin";
-
-/** Rank of the input and output tensor in the Add model. */
-static const NSUInteger kAddModelTensorRank = 1U;
-
-/** Size of the first (and only) dimension of the input and output tensor in the Add model. */
-static const NSUInteger kAddModelTensorFirstDimensionSize = 2U;
-
-/** Invalid input tensor index. */
-static const NSUInteger kInvalidInputTensorIndex = 1U;
-
-/** Invalid output tensor index. */
-static const NSUInteger kInvalidOutputTensorIndex = 1U;
-
-/** Accurary used in comparing floating numbers. */
-static const float kTestAccuracy = 1E-5F;
-
-/**
- * Unit tests for TFLInterpreter.
- */
-@interface TFLInterpreterTests : XCTestCase
-
-/** Absolute path of the Add model resource. */
-@property(nonatomic, nullable) NSString *modelPath;
-
-/** Default interpreter using the Add model. */
-@property(nonatomic, nullable) TFLInterpreter *interpreter;
-
-@end
-
-@implementation TFLInterpreterTests
-
-#pragma mark - XCTestCase
-
-- (void)setUp {
-  [super setUp];
-
-  NSBundle *bundle = [NSBundle bundleForClass:[self class]];
-  self.modelPath = [bundle pathForResource:kAddModelResourceName ofType:kAddModelResourceType];
-  self.interpreter = [[TFLInterpreter alloc] initWithModelPath:self.modelPath];
-  XCTAssertNotNil(self.interpreter);
-  XCTAssertTrue([self.interpreter allocateTensorsWithError:nil]);
-}
-
-- (void)tearDown {
-  self.modelPath = nil;
-  self.interpreter = nil;
-
-  [super tearDown];
-}
-
-#pragma mark - Tests
-
-- (void)testSuccessfulFullRun {
-  // Shape for both input and output tensor.
-  NSMutableArray *shape = [NSMutableArray arrayWithCapacity:kAddModelTensorRank];
-  shape[0] = [NSNumber numberWithUnsignedInteger:kAddModelTensorFirstDimensionSize];
-
-  // Creates the interpreter options.
-  TFLInterpreterOptions *options = [[TFLInterpreterOptions alloc] init];
-  XCTAssertNotNil(options);
-  options.numberOfThreads = 2;
-
-  // Creates the interpreter.
-  TFLInterpreter *customInterpreter = [[TFLInterpreter alloc] initWithModelPath:self.modelPath
-                                                                        options:options];
-  XCTAssertNotNil(customInterpreter);
-
-  // Allocates memory for tensors.
-  NSError *error;
-  XCTAssertTrue([customInterpreter allocateTensorsWithError:&error]);
-  XCTAssertNil(error);
-
-  // Verifies input and output tensor counts.
-  XCTAssertEqual(customInterpreter.inputTensorCount, 1);
-  XCTAssertEqual(customInterpreter.outputTensorCount, 1);
-
-  // Resizes the intput tensor.
-  XCTAssertTrue([customInterpreter resizeInputTensorAtIndex:0 toShape:shape error:&error]);
-  XCTAssertNil(error);
-
-  // Re-allocates memory for tensors.
-  XCTAssertTrue([customInterpreter allocateTensorsWithError:&error]);
-  XCTAssertNil(error);
-
-  // Verifies the input tensor.
-  TFLTensor *inputTensor = [customInterpreter inputTensorAtIndex:0 error:&error];
-  XCTAssertNotNil(inputTensor);
-  XCTAssertNil(error);
-  XCTAssertTrue([inputTensor.name isEqualToString:@"input"]);
-  XCTAssertEqual(inputTensor.dataType, TFLTensorDataTypeFloat32);
-  XCTAssertTrue([shape isEqualToArray:inputTensor.shape]);
-  XCTAssertEqual(inputTensor.byteSize, sizeof(float) * kAddModelTensorFirstDimensionSize);
-
-  // Copies the input data.
-  NSMutableData *inputData = [NSMutableData dataWithCapacity:0];
-  float one = 1.f;
-  float three = 3.f;
-  [inputData appendBytes:&one length:sizeof(float)];
-  [inputData appendBytes:&three length:sizeof(float)];
-  XCTAssertTrue([customInterpreter copyData:inputData toInputTensorAtIndex:0 error:&error]);
-  XCTAssertNil(error);
-
-  // Invokes the interpreter.
-  XCTAssertTrue([customInterpreter invokeWithError:&error]);
-  XCTAssertNil(error);
-
-  // Verifies the output tensor.
-  TFLTensor *outputTensor = [customInterpreter outputTensorAtIndex:0 error:&error];
-  XCTAssertNotNil(outputTensor);
-  XCTAssertNil(error);
-  XCTAssertTrue([outputTensor.name isEqualToString:@"output"]);
-  XCTAssertEqual(outputTensor.dataType, TFLTensorDataTypeFloat32);
-  XCTAssertTrue([shape isEqualToArray:outputTensor.shape]);
-  XCTAssertEqual(outputTensor.byteSize, sizeof(float) * kAddModelTensorFirstDimensionSize);
-
-  // Tries to query an invalid output tensor index.
-  TFLTensor *invalidOutputTensor = [customInterpreter outputTensorAtIndex:kInvalidOutputTensorIndex
-                                                                    error:&error];
-  XCTAssertNil(invalidOutputTensor);
-  XCTAssertEqual(error.code, TFLInterpreterErrorCodeInvalidTensorIndex);
-
-  // Gets the output tensor data.
-  error = nil;
-  NSData *outputData = [customInterpreter dataFromOutputTensorAtIndex:0 error:&error];
-  XCTAssertNotNil(outputData);
-  XCTAssertNil(error);
-  float output[kAddModelTensorFirstDimensionSize];
-  [outputData getBytes:output length:(sizeof(float) * kAddModelTensorFirstDimensionSize)];
-  XCTAssertEqualWithAccuracy(output[0], 3.f, kTestAccuracy);
-  XCTAssertEqualWithAccuracy(output[1], 9.f, kTestAccuracy);
-}
-
-- (void)testInitWithModelPath_invalidPath {
-  // Shape for both input and output tensor.
-  NSMutableArray *shape = [NSMutableArray arrayWithCapacity:kAddModelTensorRank];
-  shape[0] = [NSNumber numberWithUnsignedInteger:kAddModelTensorFirstDimensionSize];
-
-  // Creates the interpreter.
-  TFLInterpreter *brokenInterpreter = [[TFLInterpreter alloc] initWithModelPath:@"InvalidPath"];
-  XCTAssertNotNil(brokenInterpreter);
-  XCTAssertEqual(brokenInterpreter.inputTensorCount, 0);
-  XCTAssertEqual(brokenInterpreter.outputTensorCount, 0);
-
-  // Allocates memory for tensors.
-  NSError *error;
-  XCTAssertFalse([brokenInterpreter allocateTensorsWithError:&error]);
-  XCTAssertEqual(error.code, TFLInterpreterErrorCodeFailedToLoadModel);
-
-  // Resizes the intput tensor.
-  XCTAssertFalse([brokenInterpreter resizeInputTensorAtIndex:0 toShape:shape error:&error]);
-  XCTAssertEqual(error.code, TFLInterpreterErrorCodeFailedToLoadModel);
-
-  // Verifies the input tensor.
-  TFLTensor *inputTensor = [brokenInterpreter inputTensorAtIndex:0 error:&error];
-  XCTAssertNil(inputTensor);
-  XCTAssertEqual(error.code, TFLInterpreterErrorCodeFailedToLoadModel);
-
-  // Copies the input data.
-  NSMutableData *inputData = [NSMutableData dataWithCapacity:0];
-  float one = 1.f;
-  float three = 3.f;
-  [inputData appendBytes:&one length:sizeof(float)];
-  [inputData appendBytes:&three length:sizeof(float)];
-  XCTAssertFalse([brokenInterpreter copyData:inputData toInputTensorAtIndex:0 error:&error]);
-  XCTAssertEqual(error.code, TFLInterpreterErrorCodeFailedToLoadModel);
-
-  // Invokes the interpreter.
-  XCTAssertFalse([brokenInterpreter invokeWithError:&error]);
-  XCTAssertEqual(error.code, TFLInterpreterErrorCodeFailedToLoadModel);
-
-  // Verifies the output tensor.
-  TFLTensor *outputTensor = [brokenInterpreter outputTensorAtIndex:0 error:&error];
-  XCTAssertNil(outputTensor);
-  XCTAssertEqual(error.code, TFLInterpreterErrorCodeFailedToLoadModel);
-
-  // Gets the output tensor data.
-  NSData *outputData = [brokenInterpreter dataFromOutputTensorAtIndex:0 error:&error];
-  XCTAssertNil(outputData);
-  XCTAssertEqual(error.code, TFLInterpreterErrorCodeFailedToLoadModel);
-}
-
-- (void)testInvoke_beforeAllocation {
-  TFLInterpreter *interpreterWithoutAllocation =
-      [[TFLInterpreter alloc] initWithModelPath:self.modelPath];
-  XCTAssertNotNil(interpreterWithoutAllocation);
-
-  NSError *error;
-  XCTAssertFalse([interpreterWithoutAllocation invokeWithError:&error]);
-  XCTAssertEqual(error.code, TFLInterpreterErrorCodeFailedToInvoke);
-}
-
-- (void)testInputTensorAtIndex_invalidIndex {
-  NSError *error;
-  TFLTensor *inputTensor = [self.interpreter inputTensorAtIndex:kInvalidInputTensorIndex
-                                                          error:&error];
-  XCTAssertNil(inputTensor);
-  XCTAssertEqual(error.code, TFLInterpreterErrorCodeInvalidTensorIndex);
-}
-
-- (void)testResizeInputTensorAtIndex_invalidIndex {
-  NSMutableArray *shape = [NSMutableArray arrayWithCapacity:kAddModelTensorRank];
-  shape[0] = [NSNumber numberWithUnsignedInteger:kAddModelTensorFirstDimensionSize];
-  NSError *error;
-  XCTAssertFalse([self.interpreter resizeInputTensorAtIndex:kInvalidInputTensorIndex
-                                                    toShape:shape
-                                                      error:&error]);
-  XCTAssertEqual(error.code, TFLInterpreterErrorCodeInvalidTensorIndex);
-}
-
-- (void)testResizeInputTensorAtIndex_emptyShape {
-  NSMutableArray *emptyShape = [NSMutableArray arrayWithCapacity:0];
-  NSError *error;
-  XCTAssertFalse([self.interpreter resizeInputTensorAtIndex:0 toShape:emptyShape error:&error]);
-  XCTAssertEqual(error.code, TFLInterpreterErrorCodeInvalidShape);
-}
-
-- (void)testResizeInputTensorAtIndex_zeroDimensionSize {
-  NSMutableArray *shape = [NSMutableArray arrayWithCapacity:kAddModelTensorRank];
-  shape[0] = [NSNumber numberWithUnsignedInteger:0];
-  NSError *error;
-  XCTAssertFalse([self.interpreter resizeInputTensorAtIndex:0 toShape:shape error:&error]);
-  XCTAssertEqual(error.code, TFLInterpreterErrorCodeInvalidShape);
-}
-
-- (void)testCopyDataToInputTensorAtIndex_invalidInputDataByteSize {
-  NSMutableData *inputData = [NSMutableData dataWithCapacity:0];
-  float one = 1.f;
-  float three = 3.f;
-  [inputData appendBytes:&one length:sizeof(float)];
-  [inputData appendBytes:&three length:(sizeof(float) - 1)];
-  NSError *error;
-  XCTAssertFalse([self.interpreter copyData:inputData toInputTensorAtIndex:0 error:&error]);
-  XCTAssertEqual(error.code, TFLInterpreterErrorCodeInvalidInputByteSize);
-}
-
-@end
-
-NS_ASSUME_NONNULL_END
diff --git a/tensorflow/tools/pip_package/pip_smoke_test.py b/tensorflow/tools/pip_package/pip_smoke_test.py
index 31b68c8f00..c6ef82ccdc 100644
--- a/tensorflow/tools/pip_package/pip_smoke_test.py
+++ b/tensorflow/tools/pip_package/pip_smoke_test.py
@@ -105,7 +105,6 @@ BLACKLIST = [
     "//tensorflow/contrib/timeseries/python/timeseries:test_utils",
     "//tensorflow/contrib/timeseries/python/timeseries/state_space_models:test_utils",  # pylint:disable=line-too-long
     "//tensorflow/contrib/image:sparse_image_warp_test_data",
-    "//tools/build_defs/apple:ios.bzl",
 ]