COMPMID-415: Rename and move tests

The boost validation is now "standalone" in validation_old and builds as
arm_compute_validation_old. The new validation builds now as
arm_compute_validation.

Change-Id: Ib93ba848a25680ac60afb92b461d574a0757150d
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/86187
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>

1 files changed, 149 insertions, 0 deletions

diff --git a/tests/validation/NEON/DirectConvolutionLayer.cpp b/tests/validation/NEON/DirectConvolutionLayer.cpp
new file mode 100644
index 0000000000..6211d31c45
--- /dev/null
+++ b/tests/validation/NEON/DirectConvolutionLayer.cpp
@@ -0,0 +1,149 @@
+/*
+ * 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 CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+ * SOFTWARE.
+ */
+#include "arm_compute/core/Types.h"
+#include "arm_compute/runtime/NEON/functions/NEDirectConvolutionLayer.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/ShapeDatasets.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/DirectConvolutionLayerFixture.h"
+#include "tests/validation/half.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+namespace
+{
+constexpr AbsoluteTolerance<float> tolerance_qs(1.f); /**< Tolerance for fixed point tests */
+#ifdef ARM_COMPUTE_ENABLE_FP16
+constexpr AbsoluteTolerance<float> tolerance_fp16(0.01f);  /**< Tolerance for half precision floating point tests */
+#endif                                                     /* ARM_COMPUTE_ENABLE_FP16 */
+constexpr AbsoluteTolerance<float> tolerance_fp32(0.001f); /**< Tolerance for floating point tests */
+
+/** Direct convolution data set. */
+const auto data_pad_f32 = concat(concat(combine(framework::dataset::make("PadX", 0),
+                                                combine(framework::dataset::make("PadY", 0),
+                                                        framework::dataset::make("KernelSize", 1))),
+                                        combine(framework::dataset::make("PadX", 0, 2),
+                                                combine(framework::dataset::make("PadY", 0, 2),
+                                                        framework::dataset::make("KernelSize", 3)))),
+                                 combine(framework::dataset::make("PadX", 0, 3),
+                                         combine(framework::dataset::make("PadY", 0, 3),
+                                                 framework::dataset::make("KernelSize", 5))));
+
+const auto data_pad_qs8 = concat(combine(framework::dataset::make("PadX", 0),
+                                         combine(framework::dataset::make("PadY", 0),
+                                                 framework::dataset::make("KernelSize", 1))),
+                                 combine(framework::dataset::make("PadX", 0, 2),
+                                         combine(framework::dataset::make("PadY", 0, 2),
+                                                 framework::dataset::make("KernelSize", 3))));
+
+const auto data_f32 = combine(datasets::SmallDirectConvolutionShapes(),
+                              combine(framework::dataset::make("StrideX", 1, 3),
+                                      combine(framework::dataset::make("StrideY", 1, 3),
+                                              combine(data_pad_f32,
+                                                      framework::dataset::make("NumKernels", { 1, 4, 8, 16 })))));
+
+const auto data_qs8 = combine(datasets::SmallDirectConvolutionShapes(),
+                              combine(framework::dataset::make("StrideX", 1, 3),
+                                      combine(framework::dataset::make("StrideY", 1, 3),
+                                              combine(data_pad_qs8,
+                                                      framework::dataset::make("NumKernels", { 1, 4, 8, 16 })))));
+
+/** Direct convolution QS16 data set. */
+const auto data_qs16 = combine(datasets::SmallDirectConvolutionShapes(),
+                               combine(framework::dataset::make("StrideX", 1, 3),
+                                       combine(framework::dataset::make("StrideY", 1, 3),
+                                               combine(framework::dataset::make("PadX", 0),
+                                                       combine(framework::dataset::make("PadY", 0),
+                                                               combine(framework::dataset::make("KernelSize", 1),
+                                                                       framework::dataset::make("NumKernels", { 1, 4, 8, 16 })))))));
+} // namespace
+
+TEST_SUITE(NEON)
+TEST_SUITE(DirectConvolutionLayer)
+
+//TODO(COMPMID-415): Configuration tests?
+
+template <typename T>
+using NEDirectConvolutionLayerFixture = DirectConvolutionValidationFixture<Tensor, Accessor, NEDirectConvolutionLayer, T>;
+
+TEST_SUITE(Float)
+#ifdef ARM_COMPUTE_ENABLE_FP16
+TEST_SUITE(FP16)
+FIXTURE_DATA_TEST_CASE(Run, NEDirectConvolutionLayerFixture<half_float::half>, framework::DatasetMode::ALL, combine(data_f32, framework::dataset::make("DataType", DataType::F16)))
+{
+    // Validate output
+    validate(Accessor(_target), _reference, tolerance_fp16);
+}
+TEST_SUITE_END()
+#endif /* ARM_COMPUTE_ENABLE_FP16 */
+
+TEST_SUITE(FP32)
+FIXTURE_DATA_TEST_CASE(Run, NEDirectConvolutionLayerFixture<float>, framework::DatasetMode::ALL, combine(data_f32, framework::dataset::make("DataType", DataType::F32)))
+{
+    // Validate output
+    validate(Accessor(_target), _reference, tolerance_fp32);
+}
+TEST_SUITE_END()
+TEST_SUITE_END()
+
+template <typename T>
+using NEDirectConvolutionLayerFixedPointFixture = DirectConvolutionValidationFixedPointFixture<Tensor, Accessor, NEDirectConvolutionLayer, T>;
+
+TEST_SUITE(Quantized)
+TEST_SUITE(QS8)
+// We test for fixed point precision [4,6]
+FIXTURE_DATA_TEST_CASE(Run, NEDirectConvolutionLayerFixedPointFixture<int8_t>, framework::DatasetMode::ALL, combine(combine(data_qs8, framework::dataset::make("DataType", DataType::QS8)),
+                                                                                                                    framework::dataset::make("FractionalBits", 4, 7)))
+{
+    // Validate output
+    validate(Accessor(_target), _reference, tolerance_qs);
+}
+TEST_SUITE_END()
+
+TEST_SUITE(QS16)
+// We test for fixed point precision [4,13]
+FIXTURE_DATA_TEST_CASE(Run, NEDirectConvolutionLayerFixedPointFixture<int16_t>, framework::DatasetMode::ALL, combine(combine(data_qs16, framework::dataset::make("DataType", DataType::QS16)),
+                                                                                                                     framework::dataset::make("FractionalBits", 4, 14)))
+{
+    // Validate output
+    validate(Accessor(_target), _reference, tolerance_qs);
+}
+TEST_SUITE_END()
+TEST_SUITE_END()
+
+TEST_SUITE_END()
+TEST_SUITE_END()
+} // namespace validation
+} // namespace test
+} // namespace arm_compute