Fix the typos in support and task library

PiperOrigin-RevId: 401385404

Author: lu-wang-g

tensorflow_lite_support/java/src/java/org/tensorflow/lite/support/audio/TensorAudio.java

@@ -96,7 +96,7 @@ public static TensorAudio create(AudioFormat format, int sampleCounts) {
   public abstract static class TensorAudioFormat {
     private static final int DEFAULT_CHANNELS = 1;
 
-    /** Creates a {@link TensorAudioFormat} instance from Android AudioForamt class. */
+    /** Creates a {@link TensorAudioFormat} instance from Android AudioFormat class. */
     @RequiresApi(Build.VERSION_CODES.M)
     public static TensorAudioFormat create(AudioFormat format) {
       return TensorAudioFormat.builder()
@@ -202,7 +202,7 @@ public void load(short[] src, int offsetInShort, int sizeInShort) {
    *
    * @param record an instance of {@link android.media.AudioRecord}
    * @return number of captured audio values whose size is {@code channelCount * sampleCount}. If
-   *     there was no new data in the AudioRecord or an error occured, this method will return 0.
+   *     there was no new data in the AudioRecord or an error occurred, this method will return 0.
    * @throws IllegalArgumentException for unsupported audio encoding format
    * @throws IllegalStateException if reading from AudioRecord failed
    */
@@ -287,15 +287,15 @@ public FloatRingBuffer(int flatSize) {
 
     /**
      * Loads the entire float array to the ring buffer. If the float array is longer than ring
-     * buffer's capacity, samples with lower indicies in the array will be ignored.
+     * buffer's capacity, samples with lower indices in the array will be ignored.
      */
     public void load(float[] newData) {
       load(newData, 0, newData.length);
     }
 
     /**
      * Loads a slice of the float array to the ring buffer. If the float array is longer than ring
-     * buffer's capacity, samples with lower indicies in the array will be ignored.
+     * buffer's capacity, samples with lower indices in the array will be ignored.
      */
     public void load(float[] newData, int offset, int size) {
       checkArgument(

tensorflow_lite_support/java/src/java/org/tensorflow/lite/support/image/ImageProperties.java

@@ -43,7 +43,7 @@ public static Builder builder() {
   }
 
   /**
-   * Builder for {@link ImageProperties}. Different image objects may reqiure different properties.
+   * Builder for {@link ImageProperties}. Different image objects may require different properties.
    * See the detais below:
    *
    * <ul>

tensorflow_lite_support/java/src/java/org/tensorflow/lite/support/model/Model.java

@@ -221,7 +221,7 @@ public String getPath() {
   }
 
   /**
-   * Gets the Tensor associated with the provdied input index.
+   * Gets the Tensor associated with the provided input index.
    *
    * @throws IllegalStateException if the interpreter is closed.
    */
@@ -230,7 +230,7 @@ public Tensor getInputTensor(int inputIndex) {
   }
 
   /**
-   * Gets the Tensor associated with the provdied output index.
+   * Gets the Tensor associated with the provided output index.
    *
    * @throws IllegalStateException if the interpreter is closed.
    */

tensorflow_lite_support/java/src/java/org/tensorflow/lite/support/tensorbuffer/TensorBuffer.java

@@ -163,7 +163,7 @@ public ByteBuffer getBuffer() {
    * @throws IllegalStateException if the underlying data is corrupted
    */
   public int getFlatSize() {
-    assertShapeIsCorect();
+    assertShapeIsCorrect();
     return flatSize;
   }
 
@@ -174,7 +174,7 @@ public int getFlatSize() {
    */
   @NonNull
   public int[] getShape() {
-    assertShapeIsCorect();
+    assertShapeIsCorrect();
     return Arrays.copyOf(shape, shape.length);
   }
 
@@ -199,7 +199,7 @@ public int[] getShape() {
    * For example, a TensorBuffer with shape {2, 3} that represents the following array,
    * [[0.0f, 1.0f, 2.0f], [3.0f, 4.0f, 5.0f]].
    *
-   * The fourth element (whose value is 3.0f) in the TensorBuffer can be retrived by:
+   * The fourth element (whose value is 3.0f) in the TensorBuffer can be retrieved by:
    * float v = tensorBuffer.getFloatValue(3);
    * </pre>
    *
@@ -226,7 +226,7 @@ public int[] getShape() {
    * For example, a TensorBuffer with shape {2, 3} that represents the following array,
    * [[0.0f, 1.0f, 2.0f], [3.0f, 4.0f, 5.0f]].
    *
-   * The fourth element (whose value is 3.0f) in the TensorBuffer can be retrived by:
+   * The fourth element (whose value is 3.0f) in the TensorBuffer can be retrieved by:
    * int v = tensorBuffer.getIntValue(3);
    * Note that v is converted from 3.0f to 3 as a result of type conversion.
    * </pre>
@@ -459,7 +459,7 @@ private void allocateMemory(@NonNull int[] shape) {
    * Verifies if the shape of the {@link TensorBuffer} matched the size of the underlying {@link
    * ByteBuffer}.
    */
-  private void assertShapeIsCorect() {
+  private void assertShapeIsCorrect() {
     int flatSize = computeFlatSize(shape);
     checkState(
         (buffer.limit() == getTypeSize() * flatSize),

tensorflow_lite_support/java/src/java/org/tensorflow/lite/task/vision/core/BaseVisionTaskApi.java

@@ -145,7 +145,7 @@ private static FrameBufferData createFrameBufferFromByteBuffer(
           /*byteArrayHandle=*/ 0,
           /*byteArray=*/ new byte[0]);
     } else {
-      // If the the byte array is copied in jni (during GetByteArrayElements), need to free
+      // If the byte array is copied in jni (during GetByteArrayElements), need to free
       // the copied array once inference is done.
       long[] byteArrayHandle = new long[1];
       byte[] byteArray = getBytesFromByteBuffer(byteBuffer);
@@ -189,7 +189,7 @@ public static FrameBufferData create(
 
     abstract long getByteArrayHandle();
 
-    // Package private method for transfering data.
+    // Package private method for transferring data.
     @SuppressWarnings("mutable")
     abstract byte[] getByteArray();
   }

tensorflow_lite_support/java/src/native/task/audio/classifier/audio_classifier_jni.cc

@@ -296,7 +296,7 @@ Java_org_tensorflow_lite_task_audio_classifier_AudioClassifier_classifyNative(
   jbyte* native_array = env->GetByteArrayElements(java_array, nullptr);
   if (native_array == nullptr) {
     ThrowException(env, kAssertionError,
-                   "Error occured when converting the java audio input array "
+                   "Error occurred when converting the java audio input array "
                    "to native array.");
     return nullptr;
   }
@@ -325,7 +325,7 @@ Java_org_tensorflow_lite_task_audio_classifier_AudioClassifier_classifyNative(
     }
   } else {
     ThrowException(env, kAssertionError,
-                   "Error occured when creating the AudioBuffer: %s",
+                   "Error occurred when creating the AudioBuffer: %s",
                    audio_buffer_or.status().message().data());
   }