text: //*****************************************************************************
  // Copyright 2017-2020 Intel Corporation
  //
  // Licensed under the Apache License, Version 2.0 (the "License");
  // you may not use this file except in compliance with the License.
  // You may obtain a copy of the License at
  //
  //     http://www.apache.org/licenses/LICENSE-2.0
  //
  // Unless required by applicable law or agreed to in writing, software
  // distributed under the License is distributed on an "AS IS" BASIS,
  // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  // See the License for the specific language governing permissions and
  // limitations under the License.
  //*****************************************************************************
  
  #include "gtest/gtest.h"
  #include "ngraph/ngraph.hpp"
  #include "ngraph/runtime/tensor.hpp"
  #include "runtime/backend.hpp"
  #include "util/all_close.hpp"
  #include "util/all_close_f.hpp"
  #include "util/engine/test_engines.hpp"
  #include "util/known_element_types.hpp"
  #include "util/ndarray.hpp"
  #include "util/test_case.hpp"
  #include "util/test_control.hpp"
  #include "util/test_tools.hpp"
  
  using namespace std;
  using namespace ngraph;
  
  static string s_manifest = "${MANIFEST}";
  
  using TestEngine = test::ENGINE_CLASS_NAME(${BACKEND_NAME});
  
  NGRAPH_TEST(${BACKEND_NAME}, dyn_group_convolution_backprop_data)
  {
      Shape shape_filter{6, 1, 3, 3};
      auto filters = make_shared<op::Parameter>(element::f32, PartialShape::dynamic());
      Shape shape_delta{2, 6, 3, 3};
      auto deltas = make_shared<op::Parameter>(element::f32, PartialShape::dynamic());
      Shape shape_data_batch{2, 3, 5, 5};
      auto data_batch = make_shared<op::Parameter>(element::f32, PartialShape::dynamic());
      auto strides = Strides{1, 1};
      auto dilations = Strides{1, 1};
      auto padding_begin = CoordinateDiff{0, 0};
      auto padding_end = CoordinateDiff{0, 0};
      size_t groups = 3;
  
      auto conv_bprop_data = make_shared<op::GroupConvolutionBackpropData>(
          data_batch, filters, deltas, strides, dilations, padding_begin, padding_end, groups);
  
      auto f = make_shared<Function>(conv_bprop_data, ParameterVector{data_batch, filters, deltas});
  
      auto backend = runtime::Backend::create("${BACKEND_NAME}", true);
  
      auto handle = backend->compile(f);
  
      auto result = backend->create_dynamic_tensor(element::f32, PartialShape::dynamic());
  
      vector<float> filter, delta, data, expected_result;
  
      for (int i = 0; i < 6 * 1 * 3 * 3; i++)
          filter.emplace_back(i);
  
      for (int i = 0; i < 2 * 6 * 3 * 3; i++)
          delta.emplace_back(i);
  
      for (int i = 0; i < 2 * 3 * 5 * 5; i++)
          data.emplace_back(i);
  
      for (int i = 0; i < 2 * 3 * 5 * 5; i++)
          expected_result.emplace_back(i);
  
      auto a = backend->create_tensor(element::f32, shape_data_batch);
      copy_data(a, data);
      auto b = backend->create_tensor(element::f32, shape_filter);
      copy_data(b, filter);
      auto c = backend->create_tensor(element::f32, shape_delta);
      copy_data(c, delta);
      handle->call_with_validate({result}, {a, b, c});
      EXPECT_FALSE(test::all_close_f(vector<float>{expected_result}, read_vector<float>(result)));
  }
  
  NGRAPH_TEST(${BACKEND_NAME}, v1_group_conv_backprop_data)
  {
      const CoordinateDiff output_padding{1, 1};
      const CoordinateDiff pads_begin{1, 1};
      const CoordinateDiff pads_end{1, 1};
      Strides strides{2, 2};
      Strides dilations{1, 1};
      const op::PadType auto_pad{op::PadType::EXPLICIT};
  
      auto data = make_shared<op::Parameter>(element::f32, Shape{1, 1, 3, 3});
      auto filters = make_shared<op::Parameter>(element::f32, Shape{1, 1, 1, 3, 3});
  
      auto gcbd = make_shared<op::v1::GroupConvolutionBackpropData>(
          data, filters, strides, pads_begin, pads_end, dilations, auto_pad, output_padding);
  
      auto function = make_shared<Function>(NodeVector{gcbd}, ParameterVector{data, filters});
      auto test_case = test::TestCase<TestEngine>(function);
  
      // X
      test_case.add_input<float>(vector<float>{0.16857791f,
                                               -0.15161794f,
                                               0.08540368f,
                                               0.1820628f,
                                               -0.21746576f,
                                               0.08245695f,
                                               0.1431433f,
                                               -0.43156421f,
                                               0.30591947f});
      // W
      test_case.add_input<float>({-0.06230065f,
                                  0.37932432f,
                                  -0.25388849f,
                                  0.33878803f,
                                  0.43709868f,
                                  -0.22477469f,
                                  0.04118127f,
                                  -0.44696793f,
                                  0.06373066f});
      test_case.add_expected_output(
          Shape{1, 1, 6, 6},
          vector<float>{
              0.07368518f,  -0.08925839f, -0.06627201f, 0.06301362f,  0.03732984f,  -0.01919658f,
              -0.00628807f, -0.02817563f, -0.01472169f, 0.04392925f,  -0.00689478f, -0.01549204f,
              0.07957941f,  -0.11459791f, -0.09505399f, 0.07681622f,  0.03604182f,  -0.01853423f,
              -0.0270785f,  -0.00680824f, -0.06650258f, 0.08004665f,  0.07918708f,  -0.0724144f,
              0.06256775f,  -0.17838378f, -0.18863615f, 0.20064656f,  0.133717f,    -0.06876295f,
              -0.06398046f, -0.00864975f, 0.19289537f,  -0.01490572f, -0.13673618f, 0.01949645f});
      test_case.run(DEFAULT_FLOAT_TOLERANCE_BITS + 1);
  }
  
  NGRAPH_TEST(${BACKEND_NAME}, v1_group_conv_backprop_data_output_shape)
  {
      Strides strides{1, 1};
      Strides dilations{1, 1};
  
      auto data = make_shared<op::Parameter>(element::f32, Shape{1, 1, 1, 10});
      auto filters = make_shared<op::Parameter>(element::f32, Shape{1, 1, 1, 1, 5});
      auto output_shape = op::Constant::create(element::i64, Shape{2}, {1, 14});
  
      auto gcbd = make_shared<op::v1::GroupConvolutionBackpropData>(
          data, filters, output_shape, strides, dilations, op::PadType::SAME_UPPER);
  
      auto function = make_shared<Function>(NodeVector{gcbd}, ParameterVector{data, filters});
      auto test_case = test::TestCase<TestEngine>(function);
  
      // X
      test_case.add_input<float>(
          vector<float>{0.0f, 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f});
      // W
      test_case.add_input<float>({1.0f, 2.0f, 3.0f, 2.0f, 1.0f});
      test_case.add_expected_output(Shape{1, 1, 1, 14},
                                    vector<float>{0.0f,
                                                  1.0f,
                                                  4.0f,
                                                  10.0f,
                                                  18.0f,
                                                  27.0f,
                                                  36.0f,
                                                  45.0f,
                                                  54.0f,
                                                  63.0f,
                                                  62.0f,
                                                  50.0f,
                                                  26.0f,
                                                  9.0f});
      test_case.run();
  }
  