COMPMID-464 Implement Depthwise convolution 3x3 on NEON

Change-Id: Ie4e1803a52afac6b6c597c6e551729dad2347cd1
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/92607
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
Reviewed-by: Pablo Tello <pablo.tello@arm.com>

1 files changed, 107 insertions, 0 deletions

diff --git a/tests/validation/NEON/DepthwiseConvolution.cpp b/tests/validation/NEON/DepthwiseConvolution.cpp
new file mode 100644
index 0000000000..9e2dd92d06
--- /dev/null
+++ b/tests/validation/NEON/DepthwiseConvolution.cpp
@@ -0,0 +1,107 @@
+/*
+ * 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/NEDepthwiseConvolution.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/DepthwiseConvolutionDataset.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/DepthwiseConvolutionFixture.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::SmallDepthwiseConvolutionDataset3x3(), datasets::LargeDepthwiseConvolutionDataset3x3()),
+                                                                   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
+    NEDepthwiseConvolution3x3 depthwise_layer;
+    depthwise_layer.configure(&src, &dst, &weights, &bias, 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);
+}
+
+template <typename T>
+using NEDepthwiseConvolutionFixture3x3 = DepthwiseConvolutionValidationFixture<Tensor, Accessor, NEDepthwiseConvolution3x3, T>;
+
+TEST_SUITE(F32)
+TEST_SUITE(W3x3)
+FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthwiseConvolutionFixture3x3<float>, framework::DatasetMode::PRECOMMIT, datasets::SmallDepthwiseConvolutionDataset3x3())
+{
+    validate(Accessor(_target), _reference, tolerance_f32);
+}
+FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthwiseConvolutionFixture3x3<float>, framework::DatasetMode::NIGHTLY, datasets::LargeDepthwiseConvolutionDataset3x3())
+{
+    validate(Accessor(_target), _reference, tolerance_f32);
+}
+TEST_SUITE_END()
+TEST_SUITE_END()
+
+TEST_SUITE_END()
+TEST_SUITE_END()
+} // namespace validation
+} // namespace test
+} // namespace arm_compute