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-/*
- * Copyright (c) 2017-2019 ARM Limited.
- *
- * SPDX-License-Identifier: MIT
- *
- * Permission is hereby granted, free of charge, to any person obtaining a copy
- * of this software and associated documentation files (the "Software"), to
- * deal in the Software without restriction, including without limitation the
- * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
- * sell copies of the Software, and to permit persons to whom the Software is
- * furnished to do so, subject to the following conditions:
- *
- * The above copyright notice and this permission notice shall be included in all
- * copies or substantial portions of the Software.
- *
- * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
- * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
- * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
- * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
- * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
- * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
- * SOFTWARE.
- */
-#ifndef ARM_COMPUTE_TEST_GC_HELPER_H
-#define ARM_COMPUTE_TEST_GC_HELPER_H
-
-#include "tests/Globals.h"
-
-#include "arm_compute/core/ITensor.h"
-#include "arm_compute/runtime/GLES_COMPUTE/GCTensor.h"
-
-#include <iostream>
-
-namespace arm_compute
-{
-namespace test
-{
-/** Helper to create an empty tensor.
- *
- * @param[in] shape Desired shape.
- * @param[in] data_type Desired data type.
- * @param[in] num_channels (Optional) It indicates the number of channels for each tensor element
- *
- * @return Empty @ref GCTensor with the specified shape and data type.
- */
-inline GCTensor create_tensor(const TensorShape &shape, DataType data_type, int num_channels = 1)
-{
- GCTensor tensor;
- tensor.allocator()->init(TensorInfo(shape, num_channels, data_type));
-
- return tensor;
-}
-
-/** Helper to create an empty tensor.
- *
- * @param[in] name File name from which to get the dimensions.
- * @param[in] data_type Desired data type.
- *
- * @return Empty @ref GCTensor with the specified shape and data type.
- */
-inline GCTensor create_tensor(const std::string &name, DataType data_type)
-{
- constexpr unsigned int num_channels = 1;
-
- const RawTensor &raw = library->get(name);
-
- GCTensor tensor;
- tensor.allocator()->init(TensorInfo(raw.shape(), num_channels, data_type));
-
- return tensor;
-}
-
-/** Helper to print tensor.
- *
- * @param[in] tensor Tensor to print.
- * @param[in] name Tensor name.
- * @param[in] info Format information.
- *
- * @return Empty @ref GCTensor with the specified shape and data type.
- */
-inline void print_tensor(ITensor &tensor, const std::string &name, IOFormatInfo info = IOFormatInfo(IOFormatInfo::PrintRegion::Full))
-{
- std::ostringstream s;
- IGCTensor &t = dynamic_cast<IGCTensor &>(tensor);
- t.map();
- t.print(s, info);
-
- std::cout << name << ":" << std::endl;
- std::cout << s.str().c_str();
- t.unmap();
-}
-} // namespace test
-} // namespace arm_compute
-#endif /* ARM_COMPUTE_TEST_GC_HELPER_H */