Update ONNXRuntime dependency to 1.16.0 (#568)

This commit updates the ONNXRuntime dependencies in multiple files from 1.14.0 to 1.16.0, including their references in build.gradle and README.md files.

Author: zaleslaw

README.md

@@ -222,7 +222,7 @@ This table shows the mapping between KotlinDL, TensorFlow, ONNX Runtime, Compile
 | 0.4.0            | 8                    | 1.11.0               | 1.15               |                              |
 | 0.5.0-0.5.1      | 11                   | 1.12.1               | 1.15               | 31                           |
 | 0.5.2            | 11                   | 1.14.0               | 1.15               | 31                           |
-| 0.6.*            | 11                   | 1.14.0               | 1.15               | 31                           |
+| 0.6.*            | 11                   | 1.16.0               | 1.15               | 31                           |
 
 ## Documentation
 
@@ -274,11 +274,11 @@ On Windows, the following distributions are required:
 For inference of ONNX models on a CUDA device, you will also need to add the following dependencies to your project:
 ```groovy
 // build.gradle
-api 'com.microsoft.onnxruntime:onnxruntime_gpu:1.14.0'
+api 'com.microsoft.onnxruntime:onnxruntime_gpu:1.16.0'
 ```
 ```kotlin
 // build.gradle.kts
-api("com.microsoft.onnxruntime:onnxruntime_gpu:1.14.0")
+api("com.microsoft.onnxruntime:onnxruntime_gpu:1.16.0")
 ```
 
 To find more info about ONNXRuntime and CUDA version compatibility, please refer to the [ONNXRuntime CUDA Execution Provider page](https://onnxruntime.ai/docs/execution-providers/CUDA-ExecutionProvider.html).

api/src/main/kotlin/org/jetbrains/kotlinx/dl/api/summary/ModelSummary.kt

@@ -11,7 +11,7 @@ package org.jetbrains.kotlinx.dl.api.summary
 public interface ModelSummary {
     /**
      * Formats model summary to an array of strings.
-     * Rows should form a table with clean and readable structure.
+     * Rows should form a table with a clean and readable structure.
      *
      * @param [columnSeparator] text chunk that will be used as column separator for the output table
      * @param [lineSeparatorSymbol] character that will be used to produce a string to separate rows of the output table

examples/src/main/kotlin/examples/onnx/cv/predictionRunner.kt

@@ -50,5 +50,4 @@ fun runImageRecognitionPrediction(
     } else {
         model.use { inference(it) }
     }
-
 }

onnx/build.gradle

@@ -26,7 +26,7 @@ kotlin {
             dependencies {
                 api "org.jetbrains.kotlinx:multik-core:0.2.0"
                 api "org.jetbrains.kotlinx:multik-default:0.2.0"
-                api 'com.microsoft.onnxruntime:onnxruntime:1.14.0'
+                api 'com.microsoft.onnxruntime:onnxruntime:1.16.0'
                 api 'io.github.microutils:kotlin-logging:2.1.21' // for logging
             }
         }
@@ -42,7 +42,7 @@ kotlin {
         }
         androidMain {
             dependencies {
-                api 'com.microsoft.onnxruntime:onnxruntime-android:1.14.0'
+                api 'com.microsoft.onnxruntime:onnxruntime-android:1.16.0'
                 api 'androidx.camera:camera-core:1.0.0-rc03'
             }
         }