From 16934a511ccd37a28000a9fabb3e6e5fc6f51ec9 Mon Sep 17 00:00:00 2001 From: Michalis Spyrou Date: Tue, 21 Aug 2018 18:03:58 +0100 Subject: COMPMID-1227 Implementing Space to Batch on OpenCL Change-Id: I6fd83d6584c56a4fd2470948f1987e23237c16d3 Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/145577 Reviewed-by: Georgios Pinitas Tested-by: bsgcomp --- tests/validation/fixtures/SpaceToBatchFixture.h | 133 ++++++++++++++++++++++++ 1 file changed, 133 insertions(+) create mode 100644 tests/validation/fixtures/SpaceToBatchFixture.h (limited to 'tests/validation/fixtures') diff --git a/tests/validation/fixtures/SpaceToBatchFixture.h b/tests/validation/fixtures/SpaceToBatchFixture.h new file mode 100644 index 0000000000..26c24c1331 --- /dev/null +++ b/tests/validation/fixtures/SpaceToBatchFixture.h @@ -0,0 +1,133 @@ +/* + * 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_SPACE_TO_BATCH_LAYER_FIXTURE +#define ARM_COMPUTE_TEST_SPACE_TO_BATCH_LAYER_FIXTURE + +#include "tests/Globals.h" +#include "tests/framework/Asserts.h" +#include "tests/framework/Fixture.h" +#include "tests/validation/reference/SpaceToBatch.h" + +namespace arm_compute +{ +namespace test +{ +namespace validation +{ +template +class SpaceToBatchLayerValidationFixture : public framework::Fixture +{ +public: + template + void setup(TensorShape input_shape, TensorShape block_shape_shape, TensorShape paddings_shape, TensorShape output_shape, DataType data_type) + { + _target = compute_target(input_shape, block_shape_shape, paddings_shape, output_shape, data_type); + _reference = compute_reference(input_shape, block_shape_shape, paddings_shape, output_shape, data_type); + } + +protected: + template + void fill(U &&tensor, int i) + { + std::uniform_real_distribution<> distribution(-1.0f, 1.0f); + library->fill(tensor, distribution, i); + } + template + void fill_pad(U &&tensor, int i) + { + std::uniform_int_distribution<> distribution(0, 0); + library->fill(tensor, distribution, i); + } + TensorType compute_target(const TensorShape &input_shape, const TensorShape &block_shape_shape, const TensorShape &paddings_shape, const TensorShape &output_shape, + DataType data_type) + { + // Create tensors + TensorType input = create_tensor(input_shape, data_type); + TensorType block_shape = create_tensor(block_shape_shape, DataType::S32); + TensorType paddings = create_tensor(paddings_shape, DataType::S32); + TensorType output = create_tensor(output_shape, data_type); + + // Create and configure function + FunctionType space_to_batch; + space_to_batch.configure(&input, &block_shape, &paddings, &output); + + ARM_COMPUTE_EXPECT(input.info()->is_resizable(), framework::LogLevel::ERRORS); + ARM_COMPUTE_EXPECT(block_shape.info()->is_resizable(), framework::LogLevel::ERRORS); + ARM_COMPUTE_EXPECT(paddings.info()->is_resizable(), framework::LogLevel::ERRORS); + ARM_COMPUTE_EXPECT(output.info()->is_resizable(), framework::LogLevel::ERRORS); + + // Allocate tensors + input.allocator()->allocate(); + block_shape.allocator()->allocate(); + paddings.allocator()->allocate(); + output.allocator()->allocate(); + + ARM_COMPUTE_EXPECT(!input.info()->is_resizable(), framework::LogLevel::ERRORS); + ARM_COMPUTE_EXPECT(!block_shape.info()->is_resizable(), framework::LogLevel::ERRORS); + ARM_COMPUTE_EXPECT(!paddings.info()->is_resizable(), framework::LogLevel::ERRORS); + ARM_COMPUTE_EXPECT(!output.info()->is_resizable(), framework::LogLevel::ERRORS); + + // Fill tensors + fill(AccessorType(input), 0); + fill_pad(AccessorType(paddings), 0); + { + auto block_shape_data = AccessorType(block_shape); + for(unsigned int i = 0; i < block_shape_shape.x(); ++i) + { + static_cast(block_shape_data.data())[i] = input_shape[i] / output_shape[i]; + } + } + // Compute function + space_to_batch.run(); + + return output; + } + + SimpleTensor compute_reference(const TensorShape &input_shape, const TensorShape &block_shape_shape, const TensorShape &paddings_shape, + const TensorShape &output_shape, DataType data_type) + { + // Create reference + SimpleTensor input{ input_shape, data_type }; + SimpleTensor block_shape{ block_shape_shape, DataType::S32 }; + SimpleTensor paddings{ paddings_shape, DataType::S32 }; + + // Fill reference + fill(input, 0); + fill_pad(paddings, 0); + for(unsigned int i = 0; i < block_shape_shape.x(); ++i) + { + block_shape[i] = input_shape[i] / output_shape[i]; + } + + // Compute reference + return reference::space_to_batch(input, block_shape, paddings, output_shape); + } + + TensorType _target{}; + SimpleTensor _reference{}; +}; +} // namespace validation +} // namespace test +} // namespace arm_compute +#endif /* ARM_COMPUTE_TEST_SPACE_TO_BATCH_LAYER_FIXTURE */ -- cgit v1.2.1