text: /*******************************************************************************
   * Copyright (c) 2015-2018 Skymind, Inc.
   *
   * This program and the accompanying materials are made available under the
   * terms of the Apache License, Version 2.0 which is available at
   * https://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.
   *
   * SPDX-License-Identifier: Apache-2.0
   ******************************************************************************/
  
  //
  // @author raver119@gmail.com
  //
  
  #include "testlayers.h"
  #include <NDArray.h>
  #include <Context.h>
  #include <Node.h>
  #include <graph/Variable.h>
  #include <graph/VariableSpace.h>
  #include <ops/declarable/CustomOperations.h>
  #include <ops/declarable/generic/helpers/convolutions.h>
  #include <ops/declarable/helpers/col2im.h>
  
  using namespace nd4j;
  
  using namespace nd4j;
  using namespace nd4j::graph;
  
  class DataTypesValidationTests : public testing::Test {
  public:
  
  };
  
  TEST_F(DataTypesValidationTests, Basic_Test_1) {
      auto input = NDArrayFactory::create<int8_t>('c', {1, 1, 1, 4});
      auto weights = NDArrayFactory::create<int8_t>('c', {1, 1, 1, 4});
      auto exp = NDArrayFactory::create<double>('c', {1, 4, 1, 4}, {2., 4., 6., 8., 2., 4., 6., 8., 2., 4., 6., 8., 2., 4., 6., 8.});
  
      weights.assign(2.0);
      input.linspace(1);
  
      nd4j::ops::conv2d op;
      auto result = op.execute({&input, &weights}, {}, {1, 1, 1, 1, 0, 0, 1, 1, 0, 0}, {});
  
      ASSERT_EQ(ND4J_STATUS_VALIDATION, result->status());
  
      delete result;
  }
  
  TEST_F(DataTypesValidationTests, Basic_Test_2) {
      auto input = NDArrayFactory::create<uint8_t>('c', {1, 1, 1, 4});
      auto weights = NDArrayFactory::create<float>('c', {1, 1, 1, 4});
      auto exp = NDArrayFactory::create<float>('c', {1, 4, 1, 4}, {2., 4., 6., 8., 2., 4., 6., 8., 2., 4., 6., 8., 2., 4., 6., 8.});
  
      weights.assign(2.0);
      input.linspace(1);
  
      nd4j::ops::conv2d op;
      auto result = op.execute({&input, &weights}, {}, {1, 1, 1, 1, 0, 0, 1, 1, 0, 0}, {});
      ASSERT_EQ(Status::OK(), result->status());
  
      auto z = result->at(0);
  
      ASSERT_TRUE(exp.equalsTo(z));
  
      delete result;
  }
  
  
  TEST_F(DataTypesValidationTests, Basic_Test_3) {
      auto input = NDArrayFactory::create<int8_t>('c', {1, 1, 1, 4});
      auto weights = NDArrayFactory::create<float16>('c', {1, 1, 1, 4});
      auto exp = NDArrayFactory::create<float>('c', {1, 4, 1, 4}, {2., 4., 6., 8., 2., 4., 6., 8., 2., 4., 6., 8., 2., 4., 6., 8.});
      auto out = NDArrayFactory::create<float>('c', {1, 4, 1, 4});
  
      weights.assign(2.0);
      input.linspace(1);
  
      nd4j::ops::conv2d op;
      auto result = op.execute({&input, &weights}, {&out}, {}, {1, 1, 1, 1, 0, 0, 1, 1, 0, 0}, {});
      ASSERT_EQ(Status::OK(), result);
  
      ASSERT_EQ(exp, out);
  }
  
  TEST_F(DataTypesValidationTests, Basic_Test_4) {
      auto input = NDArrayFactory::create<int8_t>('c', {1, 1, 1, 4});
      auto weights = NDArrayFactory::create<float16>('c', {1, 1, 1, 4});
      auto exp = NDArrayFactory::create<float>('c', {1, 4, 1, 4}, {2., 4., 6., 8., 2., 4., 6., 8., 2., 4., 6., 8., 2., 4., 6., 8.});
      auto out = NDArrayFactory::create<int8_t>('c', {1, 4, 1, 4});
  
      weights.assign(2.0);
      input.linspace(1);
  
      nd4j::ops::conv2d op;
      auto result = op.execute({&input, &weights}, {&out}, {}, {1, 1, 1, 1, 0, 0, 1, 1, 0, 0}, {});
      ASSERT_EQ(ND4J_STATUS_VALIDATION, result);
  }
  
  TEST_F(DataTypesValidationTests, cast_1) {
  
      float16 x = static_cast<float16>(1.f);
      float y = static_cast<float16>(x);
  
      ASSERT_TRUE(1.f == x);
      ASSERT_TRUE(y == x);
  }
  