From 594e67169715c39f49db3f3145020b4d6c491504 Mon Sep 17 00:00:00 2001 From: jawad111 Date: Mon, 30 Sep 2024 16:22:32 +0400 Subject: [PATCH] Modernize Gradle Configuration, Dependencies, and Upgrade Gradle to 8.1.4 in /lite/examples/super_resolution/android --- .../super_resolution/android/app/build.gradle | 79 +- .../android/app/src/main/AndroidManifest.xml | 3 +- .../super_resolution/android/build.gradle | 2 +- .../tensorflow/lite/delegates/gpu/delegate.h | 144 +++ .../arm64-v8a/libtensorflowlite_gpu_jni.so | Bin 0 -> 2461400 bytes .../armeabi-v7a/libtensorflowlite_gpu_jni.so | Bin 0 -> 1630592 bytes .../jni/x86/libtensorflowlite_gpu_jni.so | Bin 0 -> 2931148 bytes .../jni/x86_64/libtensorflowlite_gpu_jni.so | Bin 0 -> 2830224 bytes .../headers/tensorflow/lite/builtin_ops.h | 161 ++++ .../headers/tensorflow/lite/c/c_api.h | 269 ++++++ .../tensorflow/lite/c/c_api_experimental.h | 60 ++ .../headers/tensorflow/lite/c/common.h | 828 ++++++++++++++++++ .../jni/arm64-v8a/libtensorflowlite_jni.so | Bin 0 -> 2370584 bytes .../jni/armeabi-v7a/libtensorflowlite_jni.so | Bin 0 -> 1649880 bytes .../jni/x86/libtensorflowlite_jni.so | Bin 0 -> 3270756 bytes .../jni/x86_64/libtensorflowlite_jni.so | Bin 0 -> 3366032 bytes 16 files changed, 1516 insertions(+), 30 deletions(-) create mode 100644 lite/examples/super_resolution/android/libraries/tensorflowlite-gpu/headers/tensorflow/lite/delegates/gpu/delegate.h create mode 100644 lite/examples/super_resolution/android/libraries/tensorflowlite-gpu/jni/arm64-v8a/libtensorflowlite_gpu_jni.so create mode 100644 lite/examples/super_resolution/android/libraries/tensorflowlite-gpu/jni/armeabi-v7a/libtensorflowlite_gpu_jni.so create mode 100644 lite/examples/super_resolution/android/libraries/tensorflowlite-gpu/jni/x86/libtensorflowlite_gpu_jni.so create mode 100644 lite/examples/super_resolution/android/libraries/tensorflowlite-gpu/jni/x86_64/libtensorflowlite_gpu_jni.so create mode 100644 lite/examples/super_resolution/android/libraries/tensorflowlite/headers/tensorflow/lite/builtin_ops.h create mode 100644 lite/examples/super_resolution/android/libraries/tensorflowlite/headers/tensorflow/lite/c/c_api.h create mode 100644 lite/examples/super_resolution/android/libraries/tensorflowlite/headers/tensorflow/lite/c/c_api_experimental.h create mode 100644 lite/examples/super_resolution/android/libraries/tensorflowlite/headers/tensorflow/lite/c/common.h create mode 100644 lite/examples/super_resolution/android/libraries/tensorflowlite/jni/arm64-v8a/libtensorflowlite_jni.so create mode 100644 lite/examples/super_resolution/android/libraries/tensorflowlite/jni/armeabi-v7a/libtensorflowlite_jni.so create mode 100644 lite/examples/super_resolution/android/libraries/tensorflowlite/jni/x86/libtensorflowlite_jni.so create mode 100644 lite/examples/super_resolution/android/libraries/tensorflowlite/jni/x86_64/libtensorflowlite_jni.so diff --git a/lite/examples/super_resolution/android/app/build.gradle b/lite/examples/super_resolution/android/app/build.gradle index ea02f293bf0..44b83f536fc 100644 --- a/lite/examples/super_resolution/android/app/build.gradle +++ b/lite/examples/super_resolution/android/app/build.gradle @@ -1,62 +1,85 @@ -apply plugin: 'com.android.application' -apply plugin: 'de.undercouch.download' +plugins { + id("com.android.application") + id("de.undercouch.download") +} android { - compileSdkVersion 28 + namespace = "org.tensorflow.lite.examples.superresolution" + compileSdk 34 + ndkVersion = "27.1.12297006" // Replace with the desired NDK version defaultConfig { - applicationId "org.tensorflow.lite.examples.superresolution" - minSdkVersion 21 - targetSdkVersion 28 - versionCode 1 - versionName "1.0" + applicationId = "org.tensorflow.lite.examples.superresolution" + minSdk 21 + targetSdk 34 + versionCode = 1 + versionName = "1.0" + externalNativeBuild { cmake { - arguments '-DANDROID_STL=c++_shared' + arguments("-DANDROID_STL=c++_shared") } } + ndk { abiFilters 'armeabi-v7a','arm64-v8a' } + + } buildTypes { release { - minifyEnabled false - proguardFiles getDefaultProguardFile('proguard-android.txt'), 'proguard-rules.pro' + proguardFiles(getDefaultProguardFile("proguard-android.txt"), "proguard-rules.pro") + packagingOptions { + doNotStrip("**//.so") // Strip the so files in release builds + } } debug { - debuggable true - jniDebuggable true - packagingOptions { doNotStrip "**//.so" } + debuggable(true) + // isJniDebuggable = true // Explicitly setting JNI debuggable if really needed + packagingOptions { + doNotStrip("**//.so") + } } } - aaptOptions { - noCompress "tflite" - } compileOptions { sourceCompatibility = '1.8' targetCompatibility = '1.8' } - lintOptions { - abortOnError false + + lint { + abortOnError = false } sourceSets { - main { - // let gradle pack the shared library into apk - jniLibs.srcDirs = ['../libraries/tensorflowlite/jni', - '../libraries/tensorflowlite-gpu/jni'] + named("main") { + jniLibs { + srcDirs("../libraries/tensorflowlite/jni", "../libraries/tensorflowlite-gpu/jni") + } } } + externalNativeBuild { cmake { - path "src/main/cc/CMakeLists.txt" - version "3.6.0" + path = file("src/main/cc/CMakeLists.txt") + version = "3.6.0" + } + } + + configurations.all { + resolutionStrategy { + force "org.jetbrains.kotlin:kotlin-stdlib:1.8.22" + force "org.jetbrains.kotlin:kotlin-stdlib-jdk8:1.8.22" + force "org.jetbrains.kotlin:kotlin-stdlib-jdk7:1.8.22" } } + + + + } // import download tasks @@ -65,7 +88,7 @@ project.ext.ASSET_DIR = projectDir.toString() + '/src/main/assets' apply from: 'download.gradle' dependencies { - implementation 'androidx.appcompat:appcompat:1.1.0' - implementation 'com.google.guava:guava:30.0-android' - implementation 'com.android.support:design:23.0.1' + implementation 'androidx.appcompat:appcompat:1.7.0' + implementation 'com.google.guava:guava:32.1.3-android' + implementation 'com.android.support:design:28.0.0' } \ No newline at end of file diff --git a/lite/examples/super_resolution/android/app/src/main/AndroidManifest.xml b/lite/examples/super_resolution/android/app/src/main/AndroidManifest.xml index 9f86a5a8641..c8422c113e9 100644 --- a/lite/examples/super_resolution/android/app/src/main/AndroidManifest.xml +++ b/lite/examples/super_resolution/android/app/src/main/AndroidManifest.xml @@ -13,7 +13,8 @@ + android:screenOrientation="portrait" + android:exported="true"> diff --git a/lite/examples/super_resolution/android/build.gradle b/lite/examples/super_resolution/android/build.gradle index bf86d1d7b2c..53e26e15fd8 100644 --- a/lite/examples/super_resolution/android/build.gradle +++ b/lite/examples/super_resolution/android/build.gradle @@ -9,7 +9,7 @@ buildscript { } dependencies { - classpath 'com.android.tools.build:gradle:4.2.0' + classpath 'com.android.tools.build:gradle:8.1.4' classpath 'de.undercouch:gradle-download-task:4.1.1' } } diff --git a/lite/examples/super_resolution/android/libraries/tensorflowlite-gpu/headers/tensorflow/lite/delegates/gpu/delegate.h b/lite/examples/super_resolution/android/libraries/tensorflowlite-gpu/headers/tensorflow/lite/delegates/gpu/delegate.h new file mode 100644 index 00000000000..f03392d9a3c --- /dev/null +++ b/lite/examples/super_resolution/android/libraries/tensorflowlite-gpu/headers/tensorflow/lite/delegates/gpu/delegate.h @@ -0,0 +1,144 @@ +/* Copyright 2019 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. +==============================================================================*/ + +#ifndef TENSORFLOW_LITE_DELEGATES_GPU_DELEGATE_H_ +#define TENSORFLOW_LITE_DELEGATES_GPU_DELEGATE_H_ + +#include + +#include "tensorflow/lite/c/common.h" + +#ifdef SWIG +#define TFL_CAPI_EXPORT +#else +#if defined(_WIN32) +#ifdef TFL_COMPILE_LIBRARY +#define TFL_CAPI_EXPORT __declspec(dllexport) +#else +#define TFL_CAPI_EXPORT __declspec(dllimport) +#endif // TFL_COMPILE_LIBRARY +#else +#define TFL_CAPI_EXPORT __attribute__((visibility("default"))) +#endif // _WIN32 +#endif // SWIG + +#ifdef __cplusplus +extern "C" { +#endif // __cplusplus + +// Encapsulated compilation/runtime tradeoffs. +enum TfLiteGpuInferenceUsage { + // Delegate will be used only once, therefore, bootstrap/init time should + // be taken into account. + TFLITE_GPU_INFERENCE_PREFERENCE_FAST_SINGLE_ANSWER = 0, + + // Prefer maximizing the throughput. Same delegate will be used repeatedly on + // multiple inputs. + TFLITE_GPU_INFERENCE_PREFERENCE_SUSTAINED_SPEED = 1, +}; + +enum TfLiteGpuInferencePriority { + // AUTO priority is needed when a single priority is the most important + // factor. For example, + // priority1 = MIN_LATENCY would result in the configuration that achieves + // maximum performance. + TFLITE_GPU_INFERENCE_PRIORITY_AUTO = 0, + TFLITE_GPU_INFERENCE_PRIORITY_MAX_PRECISION = 1, + TFLITE_GPU_INFERENCE_PRIORITY_MIN_LATENCY = 2, + TFLITE_GPU_INFERENCE_PRIORITY_MIN_MEMORY_USAGE = 3, +}; + +// Used to toggle experimental flags used in the delegate. Note that this is a +// bitmask, so the values should be 1, 2, 4, 8, ...etc. +enum TfLiteGpuExperimentalFlags { + TFLITE_GPU_EXPERIMENTAL_FLAGS_NONE = 0, + // Enables inference on quantized models with the delegate. + TFLITE_GPU_EXPERIMENTAL_FLAGS_ENABLE_QUANT = 1 << 0, + // Enforces execution with the provided backend. + TFLITE_GPU_EXPERIMENTAL_FLAGS_CL_ONLY = 1 << 1, + TFLITE_GPU_EXPERIMENTAL_FLAGS_GL_ONLY = 1 << 2 +}; + +// IMPORTANT: Always use TfLiteGpuDelegateOptionsV2Default() method to create +// new instance of TfLiteGpuDelegateOptionsV2, otherwise every new added option +// may break inference. +typedef struct { + // When set to zero, computations are carried out in maximal possible + // precision. Otherwise, the GPU may quantify tensors, downcast values, + // process in FP16 to increase performance. For most models precision loss is + // warranted. + // [OBSOLETE]: to be removed + int32_t is_precision_loss_allowed; + + // Preference is defined in TfLiteGpuInferenceUsage. + int32_t inference_preference; + + // Ordered priorities provide better control over desired semantics, + // where priority(n) is more important than priority(n+1), therefore, + // each time inference engine needs to make a decision, it uses + // ordered priorities to do so. + // For example: + // MAX_PRECISION at priority1 would not allow to decrease precision, + // but moving it to priority2 or priority3 would result in F16 calculation. + // + // Priority is defined in TfLiteGpuInferencePriority. + // AUTO priority can only be used when higher priorities are fully specified. + // For example: + // VALID: priority1 = MIN_LATENCY, priority2 = AUTO, priority3 = AUTO + // VALID: priority1 = MIN_LATENCY, priority2 = MAX_PRECISION, + // priority3 = AUTO + // INVALID: priority1 = AUTO, priority2 = MIN_LATENCY, priority3 = AUTO + // INVALID: priority1 = MIN_LATENCY, priority2 = AUTO, + // priority3 = MAX_PRECISION + // Invalid priorities will result in error. + int32_t inference_priority1; + int32_t inference_priority2; + int32_t inference_priority3; + + // Bitmask flags. See the comments in TfLiteGpuExperimentalFlags. + int64_t experimental_flags; + + // A graph could have multiple partitions that can be delegated to the GPU. + // This limits the maximum number of partitions to be delegated. By default, + // it's set to 1 in TfLiteGpuDelegateOptionsV2Default(). + int32_t max_delegated_partitions; +} TfLiteGpuDelegateOptionsV2; + +// Populates TfLiteGpuDelegateOptionsV2 as follows: +// is_precision_loss_allowed = false +// inference_preference = TFLITE_GPU_INFERENCE_PREFERENCE_FAST_SINGLE_ANSWER +// priority1 = TFLITE_GPU_INFERENCE_PRIORITY_MAX_PRECISION +// priority2 = TFLITE_GPU_INFERENCE_PRIORITY_AUTO +// priority3 = TFLITE_GPU_INFERENCE_PRIORITY_AUTO +TFL_CAPI_EXPORT TfLiteGpuDelegateOptionsV2 TfLiteGpuDelegateOptionsV2Default(); + +// Creates a new delegate instance that need to be destroyed with +// TfLiteGpuDelegateV2Delete when delegate is no longer used by TFLite. +// +// This delegate encapsulates multiple GPU-acceleration APIs under the hood to +// make use of the fastest available on a device. +// +// When `options` is set to `nullptr`, then default options are used. +TFL_CAPI_EXPORT TfLiteDelegate* TfLiteGpuDelegateV2Create( + const TfLiteGpuDelegateOptionsV2* options); + +// Destroys a delegate created with `TfLiteGpuDelegateV2Create` call. +TFL_CAPI_EXPORT void TfLiteGpuDelegateV2Delete(TfLiteDelegate* delegate); + +#ifdef __cplusplus +} +#endif // __cplusplus + +#endif // TENSORFLOW_LITE_DELEGATES_GPU_DELEGATE_H_ diff --git a/lite/examples/super_resolution/android/libraries/tensorflowlite-gpu/jni/arm64-v8a/libtensorflowlite_gpu_jni.so b/lite/examples/super_resolution/android/libraries/tensorflowlite-gpu/jni/arm64-v8a/libtensorflowlite_gpu_jni.so new file mode 100644 index 0000000000000000000000000000000000000000..ec12787570f1019b44fb74443bf9cc371813a708 GIT binary patch literal 2461400 zcmcHC515;IS^xWo-2nm=2yB4>6#{f2K!LCn2v8-v+uhA#fxwm};$qWnr_Hd_&ck%N zn}wqJNrn8hVAQG+>yIcE0~83bO3-?Yx?qH&&&983^jb0CB0&lUC=#IhJ5T2R+_Rnc zHs|tO*Exao$@evP?(hA*pKt!mG}HaL>vmj!*#jOB_~r88lfiV9{d2RtzL2V4=^;Tr z$OR9M|9oQbgw@ywu6^bHH=6&rc@_N_tlq=^d{F$A+E?xCwXa%!KbBjTtM+ep^!r^F z52yEQ9<=!8!KbeV_%S^Vh%bIj*f5xjkJD?QdU$Lq&X23Hu@%3%vUhrW__8OhM(}vo 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