diff --git a/libnd4j/include/cnpy/cnpy.cpp b/libnd4j/include/cnpy/cnpy.cpp
index 79fe4cdb9..ccc8f7600 100644
--- a/libnd4j/include/cnpy/cnpy.cpp
+++ b/libnd4j/include/cnpy/cnpy.cpp
@@ -119,6 +119,8 @@ nd4j::DataType cnpy::dataTypeFromHeader(char *data) {
     const auto s = data[si];
 
     switch (t) {
+        case 'b':
+            return nd4j::DataType::BOOL;
         case 'i':
             switch (s) {
                 case '1': return nd4j::DataType::INT8;
@@ -128,7 +130,6 @@ nd4j::DataType cnpy::dataTypeFromHeader(char *data) {
                 default:
                     throw std::runtime_error("Only data sizes of [1, 2, 4, 8] are supported for Integer data types import");
             }
-            break;
         case 'f':
             switch (s) {
                 case '1': return nd4j::DataType::FLOAT8;
@@ -138,7 +139,6 @@ nd4j::DataType cnpy::dataTypeFromHeader(char *data) {
                 default:
                     throw std::runtime_error("Only data sizes of [1, 2, 4, 8] are supported for Float data types import");
             }
-            break;
         case 'u':
             switch (s) {
                 case '1': return nd4j::DataType::UINT8;
@@ -148,14 +148,11 @@ nd4j::DataType cnpy::dataTypeFromHeader(char *data) {
                 default:
                     throw std::runtime_error("Only data sizes of [1, 2, 4, 8] are supported for Unsigned data types import");
             }
-            break;
         case 'c':
             throw std::runtime_error("Import of complex data types isn't supported yet");
         default:
             throw std::runtime_error("Unknown type marker");
     }
-
-    return nd4j::DataType::INHERIT;
 }
 
 template <typename T>
diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/nativeblas/BaseNativeNDArrayFactory.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/nativeblas/BaseNativeNDArrayFactory.java
index e7bd7404c..153183f57 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/nativeblas/BaseNativeNDArrayFactory.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-native-api/src/main/java/org/nd4j/nativeblas/BaseNativeNDArrayFactory.java
@@ -143,6 +143,20 @@ public abstract class BaseNativeNDArrayFactory extends BaseNDArrayFactory {
         val dtype = ArrayOptionsHelper.dataType(jvmShapeInfo);
 
         switch (dtype) {
+            case BOOL: {
+                val dPointer = new BooleanPointer(dataPointer.limit() / dataBufferElementSize);
+                val perfX = PerformanceTracker.getInstance().helperStartTransaction();
+
+                Pointer.memcpy(dPointer, dataPointer, dataPointer.limit());
+
+                PerformanceTracker.getInstance().helperRegisterTransaction(0, perfX, dataPointer.limit(), MemcpyDirection.HOST_TO_HOST);
+
+                data = Nd4j.createBuffer(dPointer,
+                        dtype,
+                        Shape.length(shapeBuffer),
+                        BooleanIndexer.create(dPointer));
+            }
+            break;
             case UBYTE: {
                 val dPointer = new BytePointer(dataPointer.limit() / dataBufferElementSize);
                 val perfX = PerformanceTracker.getInstance().helperStartTransaction();
diff --git a/nd4j/nd4j-backends/nd4j-tests/src/test/java/org/nd4j/linalg/serde/NumpyFormatTests.java b/nd4j/nd4j-backends/nd4j-tests/src/test/java/org/nd4j/linalg/serde/NumpyFormatTests.java
index 8b3e98f2a..164760dc0 100644
--- a/nd4j/nd4j-backends/nd4j-tests/src/test/java/org/nd4j/linalg/serde/NumpyFormatTests.java
+++ b/nd4j/nd4j-backends/nd4j-tests/src/test/java/org/nd4j/linalg/serde/NumpyFormatTests.java
@@ -30,6 +30,7 @@ import org.nd4j.linalg.api.ndarray.INDArray;
 import org.nd4j.linalg.factory.Nd4j;
 import org.nd4j.linalg.factory.Nd4jBackend;
 import org.nd4j.linalg.io.ClassPathResource;
+import org.nd4j.linalg.util.ArrayUtil;
 
 import java.io.File;
 import java.io.FileInputStream;
@@ -317,6 +318,14 @@ public class NumpyFormatTests extends BaseNd4jTest {
         log.info("Array shape: {}; sum: {};", act1.shape(), act1.sumNumber().doubleValue());
     }
 
+    @Ignore
+    @Test
+    public void testNumpyBoolean() {
+        INDArray out = Nd4j.createFromNpyFile(new File("c:/Users/raver/Downloads/error2.npy"));
+        System.out.println(ArrayUtil.toList(ArrayUtil.toInts(out.shape())));
+        System.out.println(out);
+    }
+
     @Override
     public char ordering() {
         return 'c';