diff --git a/ngraph/test/CMakeLists.txt b/ngraph/test/CMakeLists.txt
index 6848436253f..739bc1b498f 100644
--- a/ngraph/test/CMakeLists.txt
+++ b/ngraph/test/CMakeLists.txt
@@ -215,6 +215,7 @@ set(SRC
     visitors/op/bucketize.cpp
     visitors/op/constant.cpp
     visitors/op/convert.cpp
+    visitors/op/convolution_backprop.cpp
     visitors/op/cum_sum.cpp
     visitors/op/deformable_psroi_pooling.cpp
     visitors/op/detection_output.cpp
diff --git a/ngraph/test/visitors/op/convolution_backprop.cpp b/ngraph/test/visitors/op/convolution_backprop.cpp
new file mode 100644
index 00000000000..19291bc2b17
--- /dev/null
+++ b/ngraph/test/visitors/op/convolution_backprop.cpp
@@ -0,0 +1,86 @@
+// Copyright (C) 2018-2021 Intel Corporation
+// SPDX-License-Identifier: Apache-2.0
+//
+
+#include "gtest/gtest.h"
+
+#include "ngraph/ngraph.hpp"
+#include "ngraph/op/util/attr_types.hpp"
+#include "ngraph/opsets/opset1.hpp"
+#include "ngraph/opsets/opset3.hpp"
+#include "ngraph/opsets/opset4.hpp"
+#include "ngraph/opsets/opset5.hpp"
+
+#include "util/visitor.hpp"
+
+using namespace std;
+using namespace ngraph;
+using ngraph::test::NodeBuilder;
+using ngraph::test::ValueMap;
+
+TEST(attributes, convolution_backprop_op)
+{
+    NodeBuilder::get_ops().register_factory<opset1::ConvolutionBackpropData>();
+    auto data = make_shared<op::Parameter>(element::f32, Shape{1, 16, 124, 124});
+    auto filters = make_shared<op::Parameter>(element::f32, Shape{16, 2, 3, 3});
+    auto strides = Strides{1, 1};
+    auto pads_begin = CoordinateDiff{1, 2};
+    auto pads_end = CoordinateDiff{1, 2};
+    auto dilations = Strides{1, 1};
+    auto convolution = make_shared<opset1::ConvolutionBackpropData>(
+        data, filters, strides, pads_begin, pads_end, dilations, op::PadType::VALID);
+    NodeBuilder builder(convolution);
+    auto g_convolution = as_type_ptr<opset1::ConvolutionBackpropData>(builder.create());
+
+    // attribute count
+    const auto expected_attr_count = 6;
+    EXPECT_EQ(builder.get_value_map_size(), expected_attr_count);
+
+    EXPECT_EQ(g_convolution->get_strides(), convolution->get_strides());
+    EXPECT_EQ(g_convolution->get_pads_begin(), convolution->get_pads_begin());
+    EXPECT_EQ(g_convolution->get_pads_end(), convolution->get_pads_end());
+    EXPECT_EQ(g_convolution->get_dilations(), convolution->get_dilations());
+    EXPECT_EQ(g_convolution->get_auto_pad(), convolution->get_auto_pad());
+}
+
+TEST(attributes, convolution_backprop_output_shape_output_padding)
+{
+    NodeBuilder::get_ops().register_factory<opset1::ConvolutionBackpropData>();
+    const auto data = make_shared<op::Parameter>(element::f32, Shape{1, 16, 124, 124});
+    const auto filter = make_shared<op::Parameter>(element::f32, Shape{16, 2, 3, 3});
+    const auto output_shape = make_shared<op::Parameter>(element::i32, Shape{1});
+
+    const auto strides = Strides{2, 1};
+    const auto pads_begin = CoordinateDiff{3, 4};
+    const auto pads_end = CoordinateDiff{4, 6};
+    const auto dilations = Strides{3, 1};
+    const auto output_padding = CoordinateDiff{3, 4};
+
+    const std::initializer_list<op::PadType> allPadTypes = {op::PadType::EXPLICIT, op::PadType::SAME_UPPER, op::PadType::SAME_LOWER, op::PadType::VALID, op::PadType::AUTO, op::PadType::NOTSET};
+
+    for (auto padType : allPadTypes)
+    {
+        const auto convolution = make_shared<opset1::ConvolutionBackpropData>(data,
+                                                                            filter,
+                                                                            output_shape,
+                                                                            strides,
+                                                                            pads_begin,
+                                                                            pads_end,
+                                                                            dilations,
+                                                                            padType,
+                                                                            output_padding);
+        NodeBuilder builder(convolution);
+        const auto g_convolution = as_type_ptr<opset1::ConvolutionBackpropData>(builder.create());
+
+        // attribute count
+        const auto expected_attr_count = 6;
+        EXPECT_EQ(builder.get_value_map_size(), expected_attr_count);
+
+        EXPECT_EQ(g_convolution->get_strides(), convolution->get_strides());
+        EXPECT_EQ(g_convolution->get_pads_begin(), convolution->get_pads_begin());
+        EXPECT_EQ(g_convolution->get_pads_end(), convolution->get_pads_end());
+        EXPECT_EQ(g_convolution->get_dilations(), convolution->get_dilations());
+        EXPECT_EQ(g_convolution->get_auto_pad(), convolution->get_auto_pad());
+        EXPECT_EQ(g_convolution->get_output_padding(), convolution->get_output_padding());
+    }
+}