From 543036904d5324c4738cdc8b586c301471046c8e Mon Sep 17 00:00:00 2001 From: Pablo Tello Date: Thu, 22 Nov 2018 16:14:36 +0000 Subject: COMPMID-1726: Implement CLUnstack. Change-Id: I94b0707d19757c5f5d7ca66d9c47e378867126a3 Reviewed-on: https://review.mlplatform.org/325 Tested-by: Arm Jenkins Reviewed-by: Georgios Pinitas --- tests/validation/fixtures/UnstackFixture.h | 118 +++++++++++++++++++++++++++++ 1 file changed, 118 insertions(+) create mode 100644 tests/validation/fixtures/UnstackFixture.h (limited to 'tests/validation/fixtures') diff --git a/tests/validation/fixtures/UnstackFixture.h b/tests/validation/fixtures/UnstackFixture.h new file mode 100644 index 0000000000..f20a128415 --- /dev/null +++ b/tests/validation/fixtures/UnstackFixture.h @@ -0,0 +1,118 @@ +/* + * Copyright (c) 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_UNSTACK_FIXTURE +#define ARM_COMPUTE_TEST_UNSTACK_FIXTURE + +#include "arm_compute/core/TensorShape.h" +#include "arm_compute/core/Types.h" +#include "arm_compute/core/utils/misc/ShapeCalculator.h" +#include "tests/AssetsLibrary.h" +#include "tests/Globals.h" +#include "tests/IAccessor.h" +#include "tests/framework/Asserts.h" +#include "tests/framework/Fixture.h" +#include "tests/validation/Helpers.h" +#include "tests/validation/reference/Unstack.h" + +#include + +namespace arm_compute +{ +namespace test +{ +namespace validation +{ +template +class UnstackValidationFixture : public framework::Fixture +{ +public: + template + void setup(TensorShape input_shape, int axis, int num, DataType data_type) + { + _target = compute_target(input_shape, axis, num, data_type); + _reference = compute_reference(input_shape, axis, num, data_type); + } + +protected: + template + void fill(U &&tensor, int i) + { + library->fill_tensor_uniform(tensor, i); + } + + std::vector compute_target(TensorShape input_shape, int axis, unsigned int num, DataType data_type) + { + TensorType input_tensor = create_tensor(input_shape, data_type); + const unsigned int axis_u = wrap_around(axis, static_cast(input_shape.num_dimensions())); + const unsigned int axis_size = input_shape[axis_u]; + const unsigned int num_slices = std::min(num, axis_size); + std::vector output_slices(num_slices); + std::vector output_ptrs(num_slices); + for(size_t k = 0; k < num_slices; ++k) + { + output_ptrs[k] = &output_slices[k]; + } + // Create and configure function + FunctionType unstack; + unstack.configure(&input_tensor, output_ptrs, axis); + // Allocate tensors + for(auto &out : output_slices) + { + out.allocator()->allocate(); + ARM_COMPUTE_EXPECT(!out.info()->is_resizable(), framework::LogLevel::ERRORS); + } + input_tensor.allocator()->allocate(); + ARM_COMPUTE_EXPECT(!input_tensor.info()->is_resizable(), framework::LogLevel::ERRORS); + fill(AccessorType(input_tensor), 0); + // Compute function + unstack.run(); + return output_slices; + } + + std::vector> compute_reference(TensorShape input_shape, int axis, unsigned int num, DataType data_type) + { + const unsigned int axis_u = wrap_around(axis, static_cast(input_shape.num_dimensions())); + const unsigned int axis_size = input_shape[axis_u]; + const unsigned int num_output_tensors = (num == 0) ? axis_size : std::min(axis_size, num); + // create and fill input tensor + SimpleTensor input_tensor{ input_shape, data_type }; + fill(input_tensor, 0); + // create output tensors + const TensorShape slice_shape = arm_compute::misc::shape_calculator::calculate_unstack_shape(input_shape, axis_u); + std::vector> output_tensors(num_output_tensors); + for(size_t k = 0; k < num_output_tensors; ++k) + { + output_tensors[k] = SimpleTensor(slice_shape, data_type); + } + + return reference::unstack(input_tensor, output_tensors, axis); + } + + std::vector _target{}; + std::vector> _reference{}; +}; +} // namespace validation +} // namespace test +} // namespace arm_compute +#endif /* ARM_COMPUTE_TEST_UNSTACK_FIXTURE */ -- cgit v1.2.1