diff --git a/libnd4j/include/helpers/cpu/TrueBroadcastHelper.cpp b/libnd4j/include/helpers/cpu/TrueBroadcastHelper.cpp
index dbf080ac9..171d082a7 100644
--- a/libnd4j/include/helpers/cpu/TrueBroadcastHelper.cpp
+++ b/libnd4j/include/helpers/cpu/TrueBroadcastHelper.cpp
@@ -46,9 +46,9 @@ void TrueBroadcastHelper<X, Y, Z>::exec(const NDArray& xArr, const NDArray& yArr
 
     const Nd4jLong zLen  = zArr.lengthOf();
 
-    std::vector<Nd4jLong> xCoords(xArr.rankOf()), yCoords(yArr.rankOf()), zCoords(zArr.rankOf());
-
     auto func = PRAGMA_THREADS_FOR {
+        std::vector<Nd4jLong> xCoords(xArr.rankOf()), yCoords(yArr.rankOf()), zCoords(zArr.rankOf());
+
         for (auto i = start; i < stop; ++i) {
 
             shape::index2coords(i, zShapeInfo, zCoords.data());
@@ -109,6 +109,7 @@ void TrueBroadcastBoolHelper<X, Z>::exec(const NDArray& xArr, const NDArray& yAr
 
     auto func = PRAGMA_THREADS_FOR {
         std::vector<Nd4jLong> xCoords(xArr.rankOf()), yCoords(yArr.rankOf()), zCoords(zArr.rankOf());
+
         for (auto i = start; i < stop; ++i) {
 
             shape::index2coords(i, zShapeInfo, zCoords.data());
@@ -167,9 +168,9 @@ void TrueBroadcastIntHelper<X>::exec(const NDArray& xArr, const NDArray& yArr, N
 
     const Nd4jLong zLen  = zArr.lengthOf();
 
-    std::vector<Nd4jLong> xCoords(xArr.rankOf()), yCoords(yArr.rankOf()), zCoords(zArr.rankOf());
-
     auto func = PRAGMA_THREADS_FOR {
+        std::vector<Nd4jLong> xCoords(xArr.rankOf()), yCoords(yArr.rankOf()), zCoords(zArr.rankOf());
+
         for (auto i = start; i < stop; ++i) {
 
             shape::index2coords(i, zShapeInfo, zCoords.data());
diff --git a/libnd4j/tests_cpu/layers_tests/BroadcastableOpsTests.cpp b/libnd4j/tests_cpu/layers_tests/BroadcastableOpsTests.cpp
index ffa19412a..036117aa9 100644
--- a/libnd4j/tests_cpu/layers_tests/BroadcastableOpsTests.cpp
+++ b/libnd4j/tests_cpu/layers_tests/BroadcastableOpsTests.cpp
@@ -832,3 +832,33 @@ TEST_F(BroadcastableOpsTests, broadcast_3) {
     ASSERT_TRUE(z.isSameShape(e));
     ASSERT_TRUE(z.equalsTo(e));
 }
+
+TEST_F(BroadcastableOpsTests, test_bert_multiply_1) {
+    auto x = NDArrayFactory::create<float>('c', {4, 128, 1});
+    auto y = NDArrayFactory::create<float>('c', {4, 1, 128});
+    auto z = NDArrayFactory::create<float>('c', {4, 128, 128});
+    auto e = NDArrayFactory::create<float>('c', {4, 128, 128});
+
+    x.assign(0.f);
+    y.assign(1.f);
+    z.assign(119.f);
+    e.assign(0.f);
+/*
+    Context ctx(1);
+    ctx.setInputArray(0, &x);
+    ctx.setInputArray(1, &y);
+    ctx.setOutputArray(0, &z);
+
+    nd4j::ops::multiply op;
+    auto status = op.execute(&ctx);
+    ASSERT_EQ(Status::OK(), status);
+
+    z.printIndexedBuffer();
+*/
+
+    x.applyTrueBroadcast(BroadcastOpsTuple::Multiply(), &y, &z);
+
+    //z.printIndexedBuffer();
+
+    ASSERT_EQ(e, z);
+}