COMPMID-692 Consistent names for the interfaces

Change-Id: I4b1f3f0da9ff5342c7de7083736fe91871d14e5b
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/110351
Tested-by: BSG Visual Compute Jenkins server to access repositories on http://mpd-gerrit.cambridge.arm.com <bsgcomp@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>

1 files changed, 131 insertions, 0 deletions

diff --git a/tests/validation/NEON/DepthwiseConvolutionLayer.cpp b/tests/validation/NEON/DepthwiseConvolutionLayer.cpp
new file mode 100644
index 0000000000..17eaaf8ad7
--- /dev/null
+++ b/tests/validation/NEON/DepthwiseConvolutionLayer.cpp
@@ -0,0 +1,131 @@
+/*
+ * 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 CONCLCTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+ * SOFTWARE.
+ */
+#include "arm_compute/core/Types.h"
+#include "arm_compute/runtime/NEON/functions/NEDepthwiseConvolutionLayer.h"
+#include "arm_compute/runtime/Tensor.h"
+#include "arm_compute/runtime/TensorAllocator.h"
+#include "tests/NEON/Accessor.h"
+#include "tests/PaddingCalculator.h"
+#include "tests/datasets/DepthwiseConvolutionLayerDataset.h"
+#include "tests/framework/Asserts.h"
+#include "tests/framework/Macros.h"
+#include "tests/framework/datasets/Datasets.h"
+#include "tests/validation/Validation.h"
+#include "tests/validation/fixtures/DepthwiseConvolutionLayerFixture.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+namespace
+{
+constexpr RelativeTolerance<float> tolerance_f32(0.01f); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F32 */
+} // namespace
+
+TEST_SUITE(NEON)
+TEST_SUITE(DepthwiseConvolutionLayer)
+
+DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::SmallDepthwiseConvolutionLayerDataset3x3(),
+                                                                                              datasets::LargeDepthwiseConvolutionLayerDataset3x3()),
+                                                                   framework::dataset::make("DataType", DataType::F32)),
+               input_shape, weights_shape, bias_shape, output_shape, info, data_type)
+{
+    // Create tensors
+    Tensor src     = create_tensor<Tensor>(input_shape, data_type);
+    Tensor dst     = create_tensor<Tensor>(output_shape, data_type);
+    Tensor weights = create_tensor<Tensor>(weights_shape, data_type);
+    Tensor bias    = create_tensor<Tensor>(bias_shape, data_type);
+
+    ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
+    ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);
+    ARM_COMPUTE_EXPECT(weights.info()->is_resizable(), framework::LogLevel::ERRORS);
+    ARM_COMPUTE_EXPECT(bias.info()->is_resizable(), framework::LogLevel::ERRORS);
+
+    // Create and configure function
+    NEDepthwiseConvolutionLayer3x3 depthwise_layer;
+    depthwise_layer.configure(&src, &weights, &bias, &dst, info);
+
+    // Validate valid region
+    const ValidRegion input_valid_region   = shape_to_valid_region(input_shape);
+    const ValidRegion output_valid_region  = shape_to_valid_region(output_shape);
+    const ValidRegion weights_valid_region = shape_to_valid_region(weights_shape);
+    const ValidRegion bias_valid_region    = shape_to_valid_region(bias_shape);
+
+    validate(src.info()->valid_region(), input_valid_region);
+    validate(dst.info()->valid_region(), output_valid_region);
+    validate(weights.info()->valid_region(), weights_valid_region);
+    validate(bias.info()->valid_region(), bias_valid_region);
+
+    // Validate padding
+    const int         step    = 16 >> info.stride().first;
+    const PaddingSize padding = PaddingCalculator(output_shape.x(), step).required_padding();
+    validate(dst.info()->padding(), padding);
+}
+
+TEST_SUITE(Float)
+TEST_SUITE(F32)
+TEST_SUITE(Generic)
+template <typename T>
+using NEDepthwiseConvolutionLayerFixture = DepthwiseConvolutionLayerValidationFixture<Tensor, Accessor, NEDepthwiseConvolutionLayer, T>;
+FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthwiseConvolutionLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallDepthwiseConvolutionLayerDataset(),
+                                                                                                                       framework::dataset::make("DataType",
+                                                                                                                               DataType::F32)))
+{
+    validate(Accessor(_target), _reference, tolerance_f32);
+}
+FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthwiseConvolutionLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(datasets::LargeDepthwiseConvolutionLayerDataset(),
+                                                                                                                     framework::dataset::make("DataType",
+                                                                                                                             DataType::F32)))
+{
+    validate(Accessor(_target), _reference, tolerance_f32);
+}
+TEST_SUITE_END()
+
+TEST_SUITE(W3x3)
+template <typename T>
+using NEDepthwiseConvolutionLayerFixture3x3 = DepthwiseConvolutionLayerValidationFixture<Tensor, Accessor, NEDepthwiseConvolutionLayer3x3, T>;
+FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthwiseConvolutionLayerFixture3x3<float>, framework::DatasetMode::ALL, combine(datasets::SmallDepthwiseConvolutionLayerDataset3x3(),
+                                                                                                                    framework::dataset::make("DataType",
+                                                                                                                            DataType::F32)))
+{
+    validate(Accessor(_target), _reference, tolerance_f32);
+}
+FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthwiseConvolutionLayerFixture3x3<float>, framework::DatasetMode::NIGHTLY, combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(),
+                                                                                                                        framework::dataset::make("DataType",
+                                                                                                                                DataType::F32)))
+{
+    validate(Accessor(_target), _reference, tolerance_f32);
+}
+TEST_SUITE_END()
+
+TEST_SUITE_END()
+TEST_SUITE_END()
+
+TEST_SUITE_END()
+TEST_SUITE_END()
+} // namespace validation
+} // namespace test
+} // namespace arm_compute