correct bug that was not copying data to shm

Author: carlosuc3m

src/main/java/io/bioimage/modelrunner/tensorflow/v2/api050/shm/ShmBuilder.java

@@ -26,6 +26,7 @@
 
 import java.io.IOException;
 import java.nio.ByteBuffer;
+import java.nio.ByteOrder;
 import java.util.Arrays;
 
 import org.tensorflow.types.TFloat32;
@@ -102,9 +103,9 @@ private static void buildFromTensorUByte(TUint8 tensor, String memoryName) throw
         SharedMemoryArray shma = SharedMemoryArray.readOrCreate(memoryName, arrayShape, new UnsignedByteType(), false, true);
         ByteBuffer buff = shma.getDataBufferNoHeader();
         byte[] flat = new byte[buff.capacity()];
-        ByteBuffer buff2 = ByteBuffer.wrap(flat);
+        ByteBuffer buff2 = ByteBuffer.wrap(flat).order(ByteOrder.LITTLE_ENDIAN);
         tensor.asRawTensor().data().read(flat, 0, buff.capacity());
-        buff = buff2;
+        buff.put(buff2);
         if (PlatformDetection.isWindows()) shma.close();
     }
 
@@ -118,9 +119,9 @@ private static void buildFromTensorInt(TInt32 tensor, String memoryName) throws
         SharedMemoryArray shma = SharedMemoryArray.readOrCreate(memoryName, arrayShape, new IntType(), false, true);
         ByteBuffer buff = shma.getDataBufferNoHeader();
         byte[] flat = new byte[buff.capacity()];
-        ByteBuffer buff2 = ByteBuffer.wrap(flat);
+        ByteBuffer buff2 = ByteBuffer.wrap(flat).order(ByteOrder.LITTLE_ENDIAN);
         tensor.asRawTensor().data().read(flat, 0, buff.capacity());
-        buff = buff2;
+        buff.put(buff2);
         if (PlatformDetection.isWindows()) shma.close();
     }
 
@@ -134,9 +135,9 @@ private static void buildFromTensorFloat(TFloat32 tensor, String memoryName) thr
         SharedMemoryArray shma = SharedMemoryArray.readOrCreate(memoryName, arrayShape, new FloatType(), false, true);
         ByteBuffer buff = shma.getDataBufferNoHeader();
         byte[] flat = new byte[buff.capacity()];
-        ByteBuffer buff2 = ByteBuffer.wrap(flat);
+        ByteBuffer buff2 = ByteBuffer.wrap(flat).order(ByteOrder.LITTLE_ENDIAN);
         tensor.asRawTensor().data().read(flat, 0, buff.capacity());
-        buff = buff2;
+        buff.put(buff2);
         if (PlatformDetection.isWindows()) shma.close();
     }
 
@@ -150,9 +151,9 @@ private static void buildFromTensorDouble(TFloat64 tensor, String memoryName) th
         SharedMemoryArray shma = SharedMemoryArray.readOrCreate(memoryName, arrayShape, new DoubleType(), false, true);
         ByteBuffer buff = shma.getDataBufferNoHeader();
         byte[] flat = new byte[buff.capacity()];
-        ByteBuffer buff2 = ByteBuffer.wrap(flat);
+        ByteBuffer buff2 = ByteBuffer.wrap(flat).order(ByteOrder.LITTLE_ENDIAN);
         tensor.asRawTensor().data().read(flat, 0, buff.capacity());
-        buff = buff2;
+        buff.put(buff2);
         if (PlatformDetection.isWindows()) shma.close();
     }
 
@@ -167,9 +168,9 @@ private static void buildFromTensorLong(TInt64 tensor, String memoryName) throws
         SharedMemoryArray shma = SharedMemoryArray.readOrCreate(memoryName, arrayShape, new LongType(), false, true);
         ByteBuffer buff = shma.getDataBufferNoHeader();
         byte[] flat = new byte[buff.capacity()];
-        ByteBuffer buff2 = ByteBuffer.wrap(flat);
+        ByteBuffer buff2 = ByteBuffer.wrap(flat).order(ByteOrder.LITTLE_ENDIAN);
         tensor.asRawTensor().data().read(flat, 0, buff.capacity());
-        buff = buff2;
+        buff.put(buff2);
         if (PlatformDetection.isWindows()) shma.close();
     }
 }