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authorSang-Hoon Park <sang-hoon.park@arm.com>2019-10-08 18:07:23 +0100
committerSang-Hoon Park <sang-hoon.park@arm.com>2019-10-16 12:14:41 +0000
commitd24affe0abefe8f4a83c7d4487386920895fd2e7 (patch)
tree8ccdf4891b2107f49814002817e6895f201686a7 /tests/validation/NEON/LogSoftmaxLayer.cpp
parent7c60c990fbed62aab1369c0e4462c4081dc3cfeb (diff)
downloadComputeLibrary-d24affe0abefe8f4a83c7d4487386920895fd2e7.tar.gz
COMPMID-2265 add support for Log Softmax to NEON
Kernel (NEON/reference), validation tests, function and fixture are updated to add support for Log Softmax Change-Id: I641dbf1552f4128c691af8875949ebf88da71ee8 Signed-off-by: Sang-Hoon Park <sang-hoon.park@arm.com> Reviewed-on: https://review.mlplatform.org/c/2075 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'tests/validation/NEON/LogSoftmaxLayer.cpp')
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diff --git a/tests/validation/NEON/LogSoftmaxLayer.cpp b/tests/validation/NEON/LogSoftmaxLayer.cpp
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+/*
+ * Copyright (c) 2019 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/NESoftmaxLayer.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/SoftmaxLayerFixture.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+namespace
+{
+/** Tolerance for float operations */
+constexpr RelativeTolerance<float> tolerance_f32(0.00001f);
+RelativeTolerance<half> tolerance_f16(half(0.2));
+
+/** Tolerance for quantized operations */
+constexpr AbsoluteTolerance<uint8_t> tolerance_qasymm8(1);
+
+/** CNN data types */
+const auto CNNDataTypes = framework::dataset::make("DataType",
+{
+#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
+ DataType::F16,
+#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
+ DataType::F32,
+});
+} // namespace
+
+TEST_SUITE(NEON)
+TEST_SUITE(LogSoftmaxLayer)
+
+template <typename T>
+using NELogSoftmaxLayerFixture = SoftmaxValidationFixture<Tensor, Accessor, NELogSoftmaxLayer, T, true>;
+
+TEST_SUITE(Float)
+#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
+TEST_SUITE(FP16)
+FIXTURE_DATA_TEST_CASE(RunSmall, NELogSoftmaxLayerFixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small4DShapes(),
+ framework::dataset::make("DataType", DataType::F16)),
+ framework::dataset::make("Beta", { 1.0f, 2.0f })),
+ framework::dataset::make("Axis", { 1 })))
+{
+ // Validate output
+ validate(Accessor(_target), _reference, tolerance_f16);
+}
+FIXTURE_DATA_TEST_CASE(RunSmall4D, NELogSoftmaxLayerFixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small4DShapes(),
+ framework::dataset::make("DataType", DataType::F32)),
+ framework::dataset::make("Beta", { 1.0f, 2.0f })),
+ framework::dataset::make("Axis", { 1, 2, 3 })))
+{
+ // Validate output
+ validate(Accessor(_target), _reference, tolerance_f32);
+}
+FIXTURE_DATA_TEST_CASE(RunLarge, NELogSoftmaxLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::SoftmaxLayerLargeShapes(),
+ framework::dataset::make("DataType", DataType::F16)),
+ framework::dataset::make("Beta", { 1.0f, 2.0f })),
+ framework::dataset::make("Axis", { 1 })))
+{
+ // Validate output
+ validate(Accessor(_target), _reference, tolerance_f16);
+}
+TEST_SUITE_END() //FP16
+#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
+
+TEST_SUITE(FP32)
+FIXTURE_DATA_TEST_CASE(RunSmall2D, NELogSoftmaxLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SoftmaxLayerSmallShapes(),
+ framework::dataset::make("DataType", DataType::F32)),
+ framework::dataset::make("Beta", { 1.0f, 2.0f })),
+ framework::dataset::make("Axis", { 1 })))
+{
+ // Validate output
+ validate(Accessor(_target), _reference, tolerance_f32);
+}
+FIXTURE_DATA_TEST_CASE(RunSmall4D, NELogSoftmaxLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small4DShapes(),
+ framework::dataset::make("DataType", DataType::F32)),
+ framework::dataset::make("Beta", { 1.0f, 2.0f })),
+ framework::dataset::make("Axis", { 1, 2, 3 })))
+{
+ // Validate output
+ validate(Accessor(_target), _reference, tolerance_f32);
+}
+FIXTURE_DATA_TEST_CASE(RunLarge, NELogSoftmaxLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::SoftmaxLayerLargeShapes(),
+ framework::dataset::make("DataType", DataType::F32)),
+ framework::dataset::make("Beta", { 1.0f, 2.0f })),
+ framework::dataset::make("Axis", { 1 })))
+{
+ // Validate output
+ validate(Accessor(_target), _reference, tolerance_f32);
+}
+TEST_SUITE_END() //FP32
+TEST_SUITE_END() //Float
+
+template <typename T>
+using NELogSoftmaxLayerQuantizedFixture = SoftmaxValidationQuantizedFixture<Tensor, Accessor, NELogSoftmaxLayer, T, true>;
+
+TEST_SUITE(Quantized)
+TEST_SUITE(QASYMM8)
+FIXTURE_DATA_TEST_CASE(RunSmall2D, NELogSoftmaxLayerQuantizedFixture<uint8_t>, framework::DatasetMode::ALL, combine(combine(combine(datasets::SoftmaxLayerSmallShapes(),
+ framework::dataset::make("DataType", DataType::QASYMM8)),
+ combine(framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.5f, -10) }),
+ framework::dataset::make("Beta", { 1.0f, 2.f }))),
+ framework::dataset::make("Axis", { 1 })))
+{
+ // Validate output
+ validate(Accessor(_target), _reference, tolerance_qasymm8);
+}
+FIXTURE_DATA_TEST_CASE(RunSmall4D, NELogSoftmaxLayerQuantizedFixture<uint8_t>, framework::DatasetMode::ALL, combine(combine(combine(datasets::Small4DShapes(),
+ framework::dataset::make("DataType", DataType::QASYMM8)),
+ combine(framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.5f, -10) }),
+ framework::dataset::make("Beta", { 1.0f, 2.f }))),
+ framework::dataset::make("Axis", { 1, 2, 3 })))
+{
+ // Validate output
+ validate(Accessor(_target), _reference, tolerance_qasymm8);
+}
+FIXTURE_DATA_TEST_CASE(RunLarge, NELogSoftmaxLayerQuantizedFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::SoftmaxLayerLargeShapes(),
+ framework::dataset::make("DataType", DataType::QASYMM8)),
+ combine(framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.5f, -10) }),
+ framework::dataset::make("Beta", { 1.0f, 2.0f }))),
+ framework::dataset::make("Axis", { 1 })))
+{
+ // Validate output
+ validate(Accessor(_target), _reference, tolerance_qasymm8);
+}
+TEST_SUITE_END() //QASYMM8
+TEST_SUITE_END() //Quantized
+
+TEST_SUITE_END() //LogSoftmaxLayer
+TEST_SUITE_END() //NEON
+} // namespace validation
+} // namespace test
+} // namespace arm_compute