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authorMichalis Spyrou <michalis.spyrou@arm.com>2018-08-21 18:03:58 +0100
committerAnthony Barbier <anthony.barbier@arm.com>2018-11-02 16:54:54 +0000
commit16934a511ccd37a28000a9fabb3e6e5fc6f51ec9 (patch)
tree2c7875d92b4ede16ef6efc63033a2ad31ba68bc0 /tests/validation/fixtures
parent0dd2391f9fb4dd464fac8c144a45cf24189079fa (diff)
downloadComputeLibrary-16934a511ccd37a28000a9fabb3e6e5fc6f51ec9.tar.gz
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 <georgios.pinitas@arm.com> Tested-by: bsgcomp <bsgcomp@arm.com>
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+/*
+ * 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 <typename TensorType, typename AccessorType, typename FunctionType, typename T>
+class SpaceToBatchLayerValidationFixture : public framework::Fixture
+{
+public:
+ template <typename...>
+ 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 <typename U>
+ void fill(U &&tensor, int i)
+ {
+ std::uniform_real_distribution<> distribution(-1.0f, 1.0f);
+ library->fill(tensor, distribution, i);
+ }
+ template <typename U>
+ 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<TensorType>(input_shape, data_type);
+ TensorType block_shape = create_tensor<TensorType>(block_shape_shape, DataType::S32);
+ TensorType paddings = create_tensor<TensorType>(paddings_shape, DataType::S32);
+ TensorType output = create_tensor<TensorType>(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<int32_t *>(block_shape_data.data())[i] = input_shape[i] / output_shape[i];
+ }
+ }
+ // Compute function
+ space_to_batch.run();
+
+ return output;
+ }
+
+ SimpleTensor<T> 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<T> input{ input_shape, data_type };
+ SimpleTensor<int32_t> block_shape{ block_shape_shape, DataType::S32 };
+ SimpleTensor<int32_t> 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<T> _reference{};
+};
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_SPACE_TO_BATCH_LAYER_FIXTURE */