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Diffstat (limited to 'tests/benchmark/fixtures/ConvolutionLayerFixture.h')
-rw-r--r-- | tests/benchmark/fixtures/ConvolutionLayerFixture.h | 99 |
1 files changed, 0 insertions, 99 deletions
diff --git a/tests/benchmark/fixtures/ConvolutionLayerFixture.h b/tests/benchmark/fixtures/ConvolutionLayerFixture.h deleted file mode 100644 index b23c3457ab..0000000000 --- a/tests/benchmark/fixtures/ConvolutionLayerFixture.h +++ /dev/null @@ -1,99 +0,0 @@ -/* - * 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_CONVOLUTIONLAYERFIXTURE -#define ARM_COMPUTE_TEST_CONVOLUTIONLAYERFIXTURE - -#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 -{ -namespace benchmark -{ -/** Fixture that can be used for NEON and CL */ -template <typename TensorType, typename Function, typename Accessor> -class ConvolutionLayerFixture : public framework::Fixture -{ -public: - template <typename...> - void setup(TensorShape src_shape, TensorShape weights_shape, TensorShape biases_shape, TensorShape dst_shape, PadStrideInfo info, Size2D dilation, ActivationLayerInfo act_info, DataType data_type, - int batches) - { - // Set batched in source and destination shapes - src_shape.set(3 /* batch */, batches); - dst_shape.set(3 /* batch */, batches); - DataType bias_data_type = is_data_type_quantized_asymmetric(data_type) ? DataType::S32 : data_type; - const QuantizationInfo qinfo(2.f / 255.f, 127); - - // Create tensors - src = create_tensor<TensorType>(src_shape, data_type, 1, qinfo); - weights = create_tensor<TensorType>(weights_shape, data_type, 1, qinfo); - biases = create_tensor<TensorType>(biases_shape, bias_data_type, 1); - dst = create_tensor<TensorType>(dst_shape, data_type, 1, qinfo); - - // Create and configure function - conv_layer.configure(&src, &weights, &biases, &dst, info, WeightsInfo(), dilation, act_info); - - // Allocate tensors - src.allocator()->allocate(); - weights.allocator()->allocate(); - biases.allocator()->allocate(); - dst.allocator()->allocate(); - } - - void run() - { - conv_layer.run(); - } - - void sync() - { - sync_if_necessary<TensorType>(); - sync_tensor_if_necessary<TensorType>(dst); - } - - void teardown() - { - src.allocator()->free(); - weights.allocator()->free(); - biases.allocator()->free(); - dst.allocator()->free(); - } - -private: - TensorType src{}; - TensorType weights{}; - TensorType biases{}; - TensorType dst{}; - Function conv_layer{}; -}; -} // namespace benchmark -} // namespace test -} // namespace arm_compute -#endif /* ARM_COMPUTE_TEST_CONVOLUTIONLAYERFIXTURE */ |