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author | Manuel Bottini <manuel.bottini@arm.com> | 2019-07-22 11:42:55 +0100 |
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committer | Manuel Bottini <manuel.bottini@arm.com> | 2019-10-04 09:22:20 +0000 |
commit | 36debd4472839997fd3b6ec9d58530d95e3c17de (patch) | |
tree | d877e31bb6387b14d4dc4eddbc1badbca4a77012 /tests/benchmark/fixtures | |
parent | b27e13a0ad630d3d9b3143c0374b5ff5000eebc0 (diff) | |
download | ComputeLibrary-36debd4472839997fd3b6ec9d58530d95e3c17de.tar.gz |
COMPMID-1816: Use parallel reduction on 0 axis in CL ARG_MIN/ARG_MAX
Parallelization of reduction along x axes
Removal of the use of padding
Fast vector implementation of reduction operation
Change-Id: I3a56c57b9fc1135cf8f79d1021d966ea22b084b1
Signed-off-by: Manuel Bottini <manuel.bottini@arm.com>
Reviewed-on: https://review.mlplatform.org/c/1791
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Diffstat (limited to 'tests/benchmark/fixtures')
-rw-r--r-- | tests/benchmark/fixtures/ArgMinMaxFixture.h | 84 |
1 files changed, 84 insertions, 0 deletions
diff --git a/tests/benchmark/fixtures/ArgMinMaxFixture.h b/tests/benchmark/fixtures/ArgMinMaxFixture.h new file mode 100644 index 0000000000..f1a0c5ab4b --- /dev/null +++ b/tests/benchmark/fixtures/ArgMinMaxFixture.h @@ -0,0 +1,84 @@ +/* + * Copyright (c) 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_ARGMINMAXFIXTURE +#define ARM_COMPUTE_TEST_ARGMINMAXFIXTURE + +#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 ArgMinMaxBenchmarkFixture : public framework::Fixture +{ +public: + template <typename...> + void setup(TensorShape shape, DataType data_type, int axis, ReductionOperation op) + { + // Create tensors + src = create_tensor<TensorType>(shape, data_type); + dst = create_tensor<TensorType>(shape, DataType::U32); + + // Create and configure function + argminmax_layer.configure(&src, axis, &dst, op); + + // Allocate tensors + src.allocator()->allocate(); + dst.allocator()->allocate(); + } + + void run() + { + argminmax_layer.run(); + } + + void sync() + { + sync_if_necessary<TensorType>(); + sync_tensor_if_necessary<TensorType>(dst); + } + + void teardown() + { + src.allocator()->free(); + dst.allocator()->free(); + } + +private: + TensorType src{}; + TensorType dst{}; + Function argminmax_layer{}; +}; +} // namespace benchmark +} // namespace test +} // namespace arm_compute +#endif /* ARM_COMPUTE_TEST_ARGMINMAXFIXTURE */ |