diff options
author | Moritz Pflanzer <moritz.pflanzer@arm.com> | 2017-07-05 10:52:21 +0100 |
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committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-09-17 14:16:42 +0100 |
commit | ee493ae23b8cd6de5a6c578cea34bccb478d2f64 (patch) | |
tree | 154d1f8652f659128d3d76a1ac49cc942816b090 /tests/fixtures_new | |
parent | d7a5d22dd6b2a968469ea511f11907b131ec1c67 (diff) | |
download | ComputeLibrary-ee493ae23b8cd6de5a6c578cea34bccb478d2f64.tar.gz |
COMPMID-415: Port benchmark tests and remove google benchmark
Change-Id: I2f17720a4e974b2cc4481f2884d9f351e8f78b5f
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/79776
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Diffstat (limited to 'tests/fixtures_new')
-rw-r--r-- | tests/fixtures_new/ActivationLayerFixture.h | 81 | ||||
-rw-r--r-- | tests/fixtures_new/AlexNetFixture.h | 86 | ||||
-rw-r--r-- | tests/fixtures_new/ConvolutionLayerFixture.h | 92 | ||||
-rw-r--r-- | tests/fixtures_new/FullyConnectedLayerFixture.h | 92 | ||||
-rw-r--r-- | tests/fixtures_new/GEMMFixture.h | 84 | ||||
-rw-r--r-- | tests/fixtures_new/LeNet5Fixture.h | 76 | ||||
-rw-r--r-- | tests/fixtures_new/NormalizationLayerFixture.h | 81 | ||||
-rw-r--r-- | tests/fixtures_new/PoolingLayerFixture.h | 82 |
8 files changed, 674 insertions, 0 deletions
diff --git a/tests/fixtures_new/ActivationLayerFixture.h b/tests/fixtures_new/ActivationLayerFixture.h new file mode 100644 index 0000000000..bb03fa2ed0 --- /dev/null +++ b/tests/fixtures_new/ActivationLayerFixture.h @@ -0,0 +1,81 @@ +/* + * Copyright (c) 2017 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_ACTIVATIONLAYERFIXTURE +#define ARM_COMPUTE_TEST_ACTIVATIONLAYERFIXTURE + +#include "arm_compute/core/TensorShape.h" +#include "arm_compute/core/Types.h" +#include "framework/Fixture.h" +#include "tests/Globals.h" +#include "tests/Utils.h" + +namespace arm_compute +{ +namespace test +{ +/** Fixture that can be used for NEON and CL */ +template <typename TensorType, typename Function, typename Accessor> +class ActivationLayerFixture : public framework::Fixture +{ +public: + void setup(TensorShape shape, ActivationLayerInfo info, DataType data_type, int batches) + { + // Set batched in source and destination shapes + shape.set(shape.num_dimensions(), batches); + + // Create tensors + const int fixed_point_position = 4; + src = create_tensor<TensorType>(shape, data_type, 1, fixed_point_position); + dst = create_tensor<TensorType>(shape, data_type, 1, fixed_point_position); + + // Create and configure function + act_layer.configure(&src, &dst, info); + + // Allocate tensors + src.allocator()->allocate(); + dst.allocator()->allocate(); + + // Fill tensors + library->fill_tensor_uniform(Accessor(src), 0); + } + + void run() + { + act_layer.run(); + } + + void teardown() + { + src.allocator()->free(); + dst.allocator()->free(); + } + +private: + TensorType src{}; + TensorType dst{}; + Function act_layer{}; +}; +} // namespace test +} // namespace arm_compute +#endif /* ARM_COMPUTE_TEST_ACTIVATIONLAYERFIXTURE */ diff --git a/tests/fixtures_new/AlexNetFixture.h b/tests/fixtures_new/AlexNetFixture.h new file mode 100644 index 0000000000..fcac1b2236 --- /dev/null +++ b/tests/fixtures_new/AlexNetFixture.h @@ -0,0 +1,86 @@ +/* + * Copyright (c) 2017 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_ALEXNETFIXTURE +#define ARM_COMPUTE_TEST_ALEXNETFIXTURE + +#include "framework/Fixture.h" +#include "networks_new/AlexNetNetwork.h" +#include "tests/TensorLibrary.h" +#include "tests/Utils.h" + +namespace arm_compute +{ +namespace test +{ +template <typename ITensorType, + typename TensorType, + typename SubTensorType, + typename Accessor, + typename ActivationLayerFunction, + typename ConvolutionLayerFunction, + typename FullyConnectedLayerFunction, + typename NormalizationLayerFunction, + typename PoolingLayerFunction, + typename SoftmaxLayerFunction> + +class AlexNetFixture : public framework::Fixture +{ +public: + void setup(DataType data_type, int batches) + { + constexpr bool weights_transposed = true; + constexpr int fixed_point_position = 4; + + network.init(data_type, fixed_point_position, batches, weights_transposed); + network.build(); + network.allocate(); + network.fill_random(); + } + + void run() + { + network.run(); + } + + void teardown() + { + network.clear(); + } + +private: + networks::AlexNetNetwork<ITensorType, + TensorType, + SubTensorType, + Accessor, + ActivationLayerFunction, + ConvolutionLayerFunction, + FullyConnectedLayerFunction, + NormalizationLayerFunction, + PoolingLayerFunction, + SoftmaxLayerFunction> + network{}; +}; +} // namespace test +} // namespace arm_compute +#endif /* ARM_COMPUTE_TEST_ALEXNETFIXTURE */ diff --git a/tests/fixtures_new/ConvolutionLayerFixture.h b/tests/fixtures_new/ConvolutionLayerFixture.h new file mode 100644 index 0000000000..65426103e2 --- /dev/null +++ b/tests/fixtures_new/ConvolutionLayerFixture.h @@ -0,0 +1,92 @@ +/* + * Copyright (c) 2017 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 "framework/Fixture.h" +#include "tests/Globals.h" +#include "tests/Utils.h" + +namespace arm_compute +{ +namespace test +{ +/** Fixture that can be used for NEON and CL */ +template <typename TensorType, typename Function, typename Accessor> +class ConvolutionLayerFixture : public framework::Fixture +{ +public: + void setup(TensorShape src_shape, TensorShape weights_shape, TensorShape biases_shape, TensorShape dst_shape, PadStrideInfo 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); + dst_shape.set(3 /* batch */, batches); + + // Create tensors + src = create_tensor<TensorType>(src_shape, data_type, 1, fixed_point_position); + weights = create_tensor<TensorType>(weights_shape, data_type, 1, fixed_point_position); + biases = create_tensor<TensorType>(biases_shape, data_type, 1, fixed_point_position); + dst = create_tensor<TensorType>(dst_shape, data_type, 1, fixed_point_position); + + // Create and configure function + conv_layer.configure(&src, &weights, &biases, &dst, info); + + // Allocate tensors + src.allocator()->allocate(); + weights.allocator()->allocate(); + biases.allocator()->allocate(); + dst.allocator()->allocate(); + + // Fill tensors + library->fill_tensor_uniform(Accessor(src), 0); + library->fill_tensor_uniform(Accessor(weights), 1); + library->fill_tensor_uniform(Accessor(biases), 2); + } + + void run() + { + conv_layer.run(); + } + + 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 test +} // namespace arm_compute +#endif /* ARM_COMPUTE_TEST_CONVOLUTIONLAYERFIXTURE */ diff --git a/tests/fixtures_new/FullyConnectedLayerFixture.h b/tests/fixtures_new/FullyConnectedLayerFixture.h new file mode 100644 index 0000000000..9bf18a9689 --- /dev/null +++ b/tests/fixtures_new/FullyConnectedLayerFixture.h @@ -0,0 +1,92 @@ +/* + * Copyright (c) 2017 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_FULLYCONNECTEDLAYERFIXTURE +#define ARM_COMPUTE_TEST_FULLYCONNECTEDLAYERFIXTURE + +#include "arm_compute/core/TensorShape.h" +#include "arm_compute/core/Types.h" +#include "framework/Fixture.h" +#include "tests/Globals.h" +#include "tests/Utils.h" + +namespace arm_compute +{ +namespace test +{ +/** Fixture that can be used for NEON and CL */ +template <typename TensorType, typename Function, typename Accessor> +class FullyConnectedLayerFixture : public framework::Fixture +{ +public: + void setup(TensorShape src_shape, TensorShape weights_shape, TensorShape biases_shape, TensorShape dst_shape, DataType data_type, int batches) + { + // Set batched in source and destination shapes + const unsigned int fixed_point_position = 4; + src_shape.set(src_shape.num_dimensions() /* batch */, batches); + dst_shape.set(dst_shape.num_dimensions() /* batch */, batches); + + // Create tensors + src = create_tensor<TensorType>(src_shape, data_type, 1, fixed_point_position); + weights = create_tensor<TensorType>(weights_shape, data_type, 1, fixed_point_position); + biases = create_tensor<TensorType>(biases_shape, data_type, 1, fixed_point_position); + dst = create_tensor<TensorType>(dst_shape, data_type, 1, fixed_point_position); + + // Create and configure function + fc_layer.configure(&src, &weights, &biases, &dst); + + // Allocate tensors + src.allocator()->allocate(); + weights.allocator()->allocate(); + biases.allocator()->allocate(); + dst.allocator()->allocate(); + + // Fill tensors + library->fill_tensor_uniform(Accessor(src), 0); + library->fill_tensor_uniform(Accessor(weights), 1); + library->fill_tensor_uniform(Accessor(biases), 2); + } + + void run() + { + fc_layer.run(); + } + + void teardown() + { + src.allocator()->free(); + weights.allocator()->free(); + biases.allocator()->free(); + dst.allocator()->free(); + } + +private: + TensorType src{}; + TensorType weights{}; + TensorType biases{}; + TensorType dst{}; + Function fc_layer{}; +}; +} // namespace test +} // namespace arm_compute +#endif /* ARM_COMPUTE_TEST_FULLYCONNECTEDLAYERFIXTURE */ diff --git a/tests/fixtures_new/GEMMFixture.h b/tests/fixtures_new/GEMMFixture.h new file mode 100644 index 0000000000..cd357789e5 --- /dev/null +++ b/tests/fixtures_new/GEMMFixture.h @@ -0,0 +1,84 @@ +/* + * Copyright (c) 2017 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_GEMMFIXTURE +#define ARM_COMPUTE_TEST_GEMMFIXTURE + +#include "arm_compute/core/TensorShape.h" +#include "arm_compute/core/Types.h" +#include "framework/Fixture.h" +#include "tests/Globals.h" +#include "tests/Utils.h" + +namespace arm_compute +{ +namespace test +{ +/** Fixture that can be used for NEON and CL */ +template <typename TensorType, typename Function> +class GEMMFixture : public framework::Fixture +{ +public: + void setup(TensorShape shape_a, TensorShape shape_b, TensorShape shape_c, TensorShape shape_dst, float alpha, float beta, DataType data_type) + { + constexpr int fixed_point_position = 4; + + // Create tensors + a = create_tensor<TensorType>(shape_a, data_type, 1, fixed_point_position); + b = create_tensor<TensorType>(shape_b, data_type, 1, fixed_point_position); + c = create_tensor<TensorType>(shape_c, data_type, 1, fixed_point_position); + dst = create_tensor<TensorType>(shape_dst, data_type, 1, fixed_point_position); + + // Create and configure function + gemm.configure(&a, &b, &c, &dst, alpha, beta); + + // Allocate tensors + a.allocator()->allocate(); + b.allocator()->allocate(); + c.allocator()->allocate(); + dst.allocator()->allocate(); + } + + void run() + { + gemm.run(); + } + + void teardown() + { + a.allocator()->free(); + b.allocator()->free(); + c.allocator()->free(); + dst.allocator()->free(); + } + +private: + TensorType a{}; + TensorType b{}; + TensorType c{}; + TensorType dst{}; + Function gemm{}; +}; +} // namespace test +} // namespace arm_compute +#endif /* ARM_COMPUTE_TEST_GEMMFIXTURE */ diff --git a/tests/fixtures_new/LeNet5Fixture.h b/tests/fixtures_new/LeNet5Fixture.h new file mode 100644 index 0000000000..3f36628c60 --- /dev/null +++ b/tests/fixtures_new/LeNet5Fixture.h @@ -0,0 +1,76 @@ +/* + * Copyright (c) 2017 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_LENET5FIXTURE +#define ARM_COMPUTE_TEST_LENET5FIXTURE + +#include "framework/Fixture.h" +#include "networks_new/LeNet5Network.h" +#include "tests/TensorLibrary.h" +#include "tests/Utils.h" + +namespace arm_compute +{ +namespace test +{ +template <typename TensorType, + typename Accessor, + typename ActivationLayerFunction, + typename ConvolutionLayerFunction, + typename FullyConnectedLayerFunction, + typename PoolingLayerFunction, + typename SoftmaxLayerFunction> +class LeNet5Fixture : public framework::Fixture +{ +public: + void setup(int batches) + { + network.init(batches); + network.build(); + network.allocate(); + network.fill_random(); + } + + void run() + { + network.run(); + } + + void teardown() + { + network.clear(); + } + +private: + networks::LeNet5Network<TensorType, + Accessor, + ActivationLayerFunction, + ConvolutionLayerFunction, + FullyConnectedLayerFunction, + PoolingLayerFunction, + SoftmaxLayerFunction> + network{}; +}; +} // namespace test +} // namespace arm_compute +#endif /* ARM_COMPUTE_TEST_LENET5FIXTURE */ diff --git a/tests/fixtures_new/NormalizationLayerFixture.h b/tests/fixtures_new/NormalizationLayerFixture.h new file mode 100644 index 0000000000..63d2d42c88 --- /dev/null +++ b/tests/fixtures_new/NormalizationLayerFixture.h @@ -0,0 +1,81 @@ +/* + * Copyright (c) 2017 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_NORMALIZATIONLAYERFIXTURE +#define ARM_COMPUTE_TEST_NORMALIZATIONLAYERFIXTURE + +#include "arm_compute/core/TensorShape.h" +#include "arm_compute/core/Types.h" +#include "framework/Fixture.h" +#include "tests/Globals.h" +#include "tests/Utils.h" + +namespace arm_compute +{ +namespace test +{ +/** Fixture that can be used for NEON and CL */ +template <typename TensorType, typename Function, typename Accessor> +class NormalizationLayerFixture : public framework::Fixture +{ +public: + void setup(TensorShape shape, NormalizationLayerInfo info, DataType data_type, int batches) + { + // Set batched in source and destination shapes + const unsigned int fixed_point_position = 4; + shape.set(shape.num_dimensions(), batches); + + // Create tensors + src = create_tensor<TensorType>(shape, data_type, 1, fixed_point_position); + dst = create_tensor<TensorType>(shape, data_type, 1, fixed_point_position); + + // Create and configure function + norm_layer.configure(&src, &dst, info); + + // Allocate tensors + src.allocator()->allocate(); + dst.allocator()->allocate(); + + // Fill tensors + library->fill_tensor_uniform(Accessor(src), 0); + } + + void run() + { + norm_layer.run(); + } + + void teardown() + { + src.allocator()->free(); + dst.allocator()->free(); + } + +private: + TensorType src{}; + TensorType dst{}; + Function norm_layer{}; +}; +} // namespace test +} // namespace arm_compute +#endif /* ARM_COMPUTE_TEST_NORMALIZATIONLAYERFIXTURE */ diff --git a/tests/fixtures_new/PoolingLayerFixture.h b/tests/fixtures_new/PoolingLayerFixture.h new file mode 100644 index 0000000000..a09b421ad0 --- /dev/null +++ b/tests/fixtures_new/PoolingLayerFixture.h @@ -0,0 +1,82 @@ +/* + * Copyright (c) 2017 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_POOLINGLAYERFIXTURE +#define ARM_COMPUTE_TEST_POOLINGLAYERFIXTURE + +#include "arm_compute/core/TensorShape.h" +#include "arm_compute/core/Types.h" +#include "framework/Fixture.h" +#include "tests/Globals.h" +#include "tests/Utils.h" + +namespace arm_compute +{ +namespace test +{ +/** Fixture that can be used for NEON and CL */ +template <typename TensorType, typename Function, typename Accessor> +class PoolingLayerFixture : public framework::Fixture +{ +public: + void setup(TensorShape src_shape, TensorShape dst_shape, PoolingLayerInfo info, DataType data_type, int batches) + { + // Set batched in source and destination shapes + const unsigned int fixed_point_position = 4; + src_shape.set(src_shape.num_dimensions(), batches); + dst_shape.set(dst_shape.num_dimensions(), batches); + + // Create tensors + src = create_tensor<TensorType>(src_shape, data_type, 1, fixed_point_position); + dst = create_tensor<TensorType>(dst_shape, data_type, 1, fixed_point_position); + + // Create and configure function + pool_layer.configure(&src, &dst, info); + + // Allocate tensors + src.allocator()->allocate(); + dst.allocator()->allocate(); + + // Fill tensors + library->fill_tensor_uniform(Accessor(src), 0); + } + + void run() + { + pool_layer.run(); + } + + void teardown() + { + src.allocator()->free(); + dst.allocator()->free(); + } + +private: + TensorType src{}; + TensorType dst{}; + Function pool_layer{}; +}; +} // namespace test +} // namespace arm_compute +#endif /* ARM_COMPUTE_TEST_POOLINGLAYERFIXTURE */ |