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/*
* Copyright (c) 2017-2018 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_DEPTHWISESEPARABLECONVOLUTIONLAYERFIXTURE
#define ARM_COMPUTE_TEST_DEPTHWISESEPARABLECONVOLUTIONLAYERFIXTURE
#include "arm_compute/core/TensorShape.h"
#include "arm_compute/core/Types.h"
#include "tests/Globals.h"
#include "tests/Utils.h"
#include "tests/framework/Fixture.h"
namespace arm_compute
{
namespace test
{
/** Fixture that can be used for NEON and CL */
template <typename TensorType, typename Function, typename Accessor>
class DepthwiseSeparableConvolutionLayerFixture : public framework::Fixture
{
public:
template <typename...>
void setup(TensorShape src_shape, TensorShape depthwise_weights_shape, TensorShape depthwise_biases_shape, TensorShape depthwise_out_shape, TensorShape pointwise_weights_shape,
TensorShape pointwise_biases_shape, TensorShape dst_shape,
PadStrideInfo pad_stride_depthwise_info, PadStrideInfo pad_stride_pointwise_info, DataType data_type, int batches)
{
// Set batched in source and destination shapes
const unsigned int fixed_point_position = 4;
src_shape.set(3 /* batch */, batches);
depthwise_out_shape.set(3 /* batch */, batches);
dst_shape.set(3 /* batch */, batches);
src = create_tensor<TensorType>(src_shape, data_type, 1, fixed_point_position);
depthwise_weights = create_tensor<TensorType>(depthwise_weights_shape, data_type, 1, fixed_point_position);
depthwise_biases = create_tensor<TensorType>(depthwise_biases_shape, data_type, 1, fixed_point_position);
depthwise_out = create_tensor<TensorType>(depthwise_out_shape, data_type, 1, fixed_point_position);
pointwise_weights = create_tensor<TensorType>(pointwise_weights_shape, data_type, 1, fixed_point_position);
pointwise_biases = create_tensor<TensorType>(pointwise_biases_shape, data_type, 1, fixed_point_position);
dst = create_tensor<TensorType>(dst_shape, data_type, 1, fixed_point_position);
// Create and configure function
depth_sep_conv_layer.configure(&src, &depthwise_weights, &depthwise_biases, &depthwise_out, &pointwise_weights, &pointwise_biases, &dst, pad_stride_depthwise_info, pad_stride_pointwise_info);
// Allocate tensors
src.allocator()->allocate();
depthwise_weights.allocator()->allocate();
depthwise_biases.allocator()->allocate();
depthwise_out.allocator()->allocate();
pointwise_weights.allocator()->allocate();
pointwise_biases.allocator()->allocate();
dst.allocator()->allocate();
}
void run()
{
depth_sep_conv_layer.run();
}
void sync()
{
sync_if_necessary<TensorType>();
sync_tensor_if_necessary<TensorType>(dst);
}
void teardown()
{
src.allocator()->free();
depthwise_weights.allocator()->free();
depthwise_biases.allocator()->free();
depthwise_out.allocator()->free();
pointwise_weights.allocator()->free();
pointwise_biases.allocator()->free();
dst.allocator()->free();
}
private:
TensorType src{};
TensorType depthwise_weights{};
TensorType depthwise_biases{};
TensorType depthwise_out{};
TensorType pointwise_weights{};
TensorType pointwise_biases{};
TensorType dst{};
Function depth_sep_conv_layer{};
};
} // namespace test
} // namespace arm_compute
#endif /* ARM_COMPUTE_TEST_DEPTHWISESEPARABLECONVOLUTIONLAYERFIXTURE */
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