[tfls.image] Provide TensorImage#getWidth and TensorImage#getHeight as they are not trivial.

PiperOrigin-RevId: 311060642
Change-Id: Ie6d8043ffe82cb6276cb919d9d799c0740ef29c0

tensorflow/lite/experimental/support/java/src/java/org/tensorflow/lite/support/image/TensorImage.java

@@ -231,6 +231,26 @@ public class TensorImage {
     return container.getDataType();
   }
 
+  /**
+   * Gets the image width.
+   *
+   * @throws IllegalStateException if the TensorImage never loads data.
+   * @throws IllegalArgumentException if the container data is corrupted.
+   */
+  public int getWidth() {
+    return container.getWidth();
+  }
+
+  /**
+   * Gets the image height.
+   *
+   * @throws IllegalStateException if the TensorImage never loads data.
+   * @throws IllegalArgumentException if the container data is corrupted.
+   */
+  public int getHeight() {
+    return container.getHeight();
+  }
+
   // Requires tensor shape [h, w, 3] or [1, h, w, 3].
   static void checkImageTensorShape(int[] shape) {
     SupportPreconditions.checkArgument(
@@ -273,6 +293,41 @@ public class TensorImage {
       isBufferUpdated = true;
     }
 
+    int getWidth() {
+      SupportPreconditions.checkState(
+          isBitmapUpdated || isBufferUpdated,
+          "Both buffer and bitmap data are obsolete. Forgot to call TensorImage#load?");
+      if (isBitmapUpdated) {
+        return bitmapImage.getWidth();
+      }
+      return getBufferDimensionSize(-2);
+    }
+
+    int getHeight() {
+      SupportPreconditions.checkState(
+          isBitmapUpdated || isBufferUpdated,
+          "Both buffer and bitmap data are obsolete. Forgot to call TensorImage#load?");
+      if (isBitmapUpdated) {
+        return bitmapImage.getHeight();
+      }
+      return getBufferDimensionSize(-3);
+    }
+
+    // Internal helper method to get the size of one dimension in the shape of the `bufferImage`.
+    // Requires `isBufferUpdated` is true.
+    // Throws `IllegalArgumentException` if data is corrupted.
+    private int getBufferDimensionSize(int dim) {
+      int[] shape = bufferImage.getShape();
+      // The defensive check is needed because bufferImage might be invalidly changed by user
+      // (a.k.a internal data is corrupted)
+      TensorImage.checkImageTensorShape(shape);
+      dim = dim % shape.length;
+      if (dim < 0) {
+        dim += shape.length;
+      }
+      return shape[dim];
+    }
+
     public DataType getDataType() {
       return dataType;
     }
@@ -284,7 +339,8 @@ public class TensorImage {
         return bitmapImage;
       }
       if (!isBufferUpdated) {
-        throw new IllegalStateException("Both buffer and bitmap data are obsolete.");
+        throw new IllegalStateException(
+            "Both buffer and bitmap data are obsolete. Forgot to call TensorImage#load?");
       }
       if (bufferImage.getDataType() != DataType.UINT8) {
         throw new IllegalStateException(
@@ -310,7 +366,8 @@ public class TensorImage {
         return bufferImage;
       }
       SupportPreconditions.checkArgument(
-          isBitmapUpdated, "Both buffer and bitmap data are obsolete.");
+          isBitmapUpdated,
+          "Both buffer and bitmap data are obsolete. Forgot to call TensorImage#load?");
       int requiredFlatSize = bitmapImage.getWidth() * bitmapImage.getHeight() * 3;
       if (bufferImage == null
           || (!bufferImage.isDynamic() && bufferImage.getFlatSize() != requiredFlatSize)) {

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

@@ -379,13 +379,13 @@ public abstract class TensorBuffer {
 
     // Check if the new shape is the same as current shape.
     int newFlatSize = computeFlatSize(shape);
+    this.shape = shape.clone();
     if (flatSize == newFlatSize) {
       return;
     }
 
     // Update to the new shape.
     flatSize = newFlatSize;
-    this.shape = shape.clone();
     buffer = ByteBuffer.allocateDirect(flatSize * getTypeSize());
     buffer.order(ByteOrder.nativeOrder());
   }