diff --git a/src/main/java/org/bioimageanalysis/icy/tensorflow/v1/tensor/TensorBuilder.java b/src/main/java/org/bioimageanalysis/icy/tensorflow/v1/tensor/TensorBuilder.java index 931abdc6021bc68e6965b4ac026eb0c0831136d4..137533c2512ee97b56d7cd2bba823b5c2cb3f7d0 100644 --- a/src/main/java/org/bioimageanalysis/icy/tensorflow/v1/tensor/TensorBuilder.java +++ b/src/main/java/org/bioimageanalysis/icy/tensorflow/v1/tensor/TensorBuilder.java @@ -5,7 +5,7 @@ import java.nio.DoubleBuffer; import java.nio.FloatBuffer; import java.nio.IntBuffer; -import org.bioimageanalysis.icy.deeplearning.tensor.RaiToArray; +import org.bioimageanalysis.icy.deeplearning.tensor.RaiArrayUtils; import org.tensorflow.Tensor; import org.tensorflow.types.UInt8; @@ -81,7 +81,7 @@ public final class TensorBuilder */ private static <T extends Type<T>> Tensor<UInt8> buildByte(RandomAccessibleInterval<ByteType> ndarray) { - byte[] arr = RaiToArray.byteArray(ndarray); + byte[] arr = RaiArrayUtils.byteArray(ndarray); ByteBuffer buff = ByteBuffer.wrap(arr); Tensor<UInt8> tensor = Tensor.create(UInt8.class, ndarray.dimensionsAsLongArray(), buff); return tensor; @@ -98,7 +98,7 @@ public final class TensorBuilder */ private static <T extends Type<T>> Tensor<Integer> buildInt(RandomAccessibleInterval<IntType> ndarray) { - int[] arr = RaiToArray.intArray(ndarray); + int[] arr = RaiArrayUtils.intArray(ndarray); IntBuffer buff = IntBuffer.wrap(arr); Tensor<Integer> tensor = Tensor.create(ndarray.dimensionsAsLongArray(), buff); return tensor; @@ -115,7 +115,7 @@ public final class TensorBuilder */ private static <T extends Type<T>> Tensor<Float> buildFloat(RandomAccessibleInterval<FloatType> ndarray) { - float[] arr = RaiToArray.floatArray(ndarray); + float[] arr = RaiArrayUtils.floatArray(ndarray); FloatBuffer buff = FloatBuffer.wrap(arr); Tensor<Float> tensor = Tensor.create(ndarray.dimensionsAsLongArray(), buff); return tensor; @@ -132,7 +132,7 @@ public final class TensorBuilder */ private static <T extends Type<T>> Tensor<Double> buildDouble(RandomAccessibleInterval<DoubleType> ndarray) { - double[] arr = RaiToArray.doubleArray(ndarray); + double[] arr = RaiArrayUtils.doubleArray(ndarray); DoubleBuffer buff = DoubleBuffer.wrap(arr); Tensor<Double> tensor = Tensor.create(ndarray.dimensionsAsLongArray(), buff); return tensor;