COMPMID-1758: NEON: Implement Range

Change-Id: I56dff9462b85760fbed6db43224cadb90d283810
Reviewed-on: https://review.mlplatform.org/472
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>

1 files changed, 178 insertions, 0 deletions

diff --git a/tests/validation/NEON/Range.cpp b/tests/validation/NEON/Range.cpp
new file mode 100644
index 0000000000..06351c8f66
--- /dev/null
+++ b/tests/validation/NEON/Range.cpp
@@ -0,0 +1,178 @@
+/*
+ * Copyright (c) 2018-2019 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/NERange.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/RangeFixture.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+namespace
+{
+constexpr RelativeTolerance<float> tolerance(0.01f);
+constexpr AbsoluteTolerance<float> abs_tolerance(0.02f);
+
+const auto start_dataset          = framework::dataset::make("Start", { float(3), float(-17), float(16) });
+const auto unsigned_start_dataset = framework::dataset::make("Start", { float(3), float(16) });
+const auto float_step_dataset     = framework::dataset::make("Step", { float(1), float(-0.2f), float(0.2), float(12.2), float(-12.2), float(-1.2), float(-3), float(3) });
+const auto step_dataset           = framework::dataset::make("Step", { float(1), float(12), float(-12), float(-1), float(-3), float(3) });
+const auto unsigned_step_dataset  = framework::dataset::make("Step", { float(1), float(12), float(3) });
+} // namespace
+
+TEST_SUITE(NEON)
+TEST_SUITE(Range)
+
+// *INDENT-OFF*
+// clang-format off
+
+DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(
+               framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8),
+                                                        TensorInfo(TensorShape(32U), 1, DataType::U8),
+                                                        TensorInfo(TensorShape(27U), 1, DataType::U8),
+                                                        TensorInfo(TensorShape(32U), 1, DataType::U8),
+                                                        TensorInfo(TensorShape(32U), 1, DataType::F32),
+                                                        TensorInfo(TensorShape(27U), 1, DataType::U8),
+                                                        TensorInfo(TensorShape(27U), 1, DataType::U8),
+                                                        TensorInfo(TensorShape(10U), 1, DataType::QASYMM8),
+                                                        TensorInfo(TensorShape(10U), 1, DataType::U8),
+                                                      }),
+               framework::dataset::make("Start",{ 0.0f,
+                                                  15.0f,
+                                                  1500.0f,
+                                                  100.0f,
+                                                  -15.0f,
+                                                  0.2f,
+                                                  2.0f,
+                                                  10.0f,
+                                                  10.0f
+                                                })),
+               framework::dataset::make("End",{ 100.0f,
+                                                15.0f,
+                                                2500.0f,
+                                                -1000.0f,
+                                                15.0f,
+                                                10.0f,
+                                                10.0f,
+                                                100.0f,
+                                                100.0f
+                                              })),
+               framework::dataset::make("Step",{ 100.0f,
+                                                 15.0f,
+                                                 10.0f,
+                                                 100.0f,
+                                                 -15.0f,
+                                                 1.0f,
+                                                 0.0f,
+                                                 10.0f,
+                                                 10.0f
+                                              })),
+               framework::dataset::make("Expected", { false, // 1-D tensor expected
+                                                    false, // start == end
+                                                    false, // output vector size insufficient
+                                                    false, // sign of step incorrect
+                                                    false, // sign of step incorrect
+                                                    false, // data type incompatible
+                                                    false, // step = 0
+                                                    false, // invalid QASYMM8 datatype
+                                                    true,
+                                                    })),
+               output_info, start, end, step, expected)
+{
+    ARM_COMPUTE_EXPECT(bool(NERange::validate(&output_info, start, end, step)) == expected, framework::LogLevel::ERRORS);
+}
+// clang-format on
+// *INDENT-ON*
+
+template <typename T>
+using NERangeFixture = RangeFixture<Tensor, Accessor, NERange, T>;
+
+TEST_SUITE(U8)
+FIXTURE_DATA_TEST_CASE(RunSmall, NERangeFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(
+                                                                                                                 framework::dataset::make("DataType", DataType::U8),
+                                                                                                                 unsigned_start_dataset),
+                                                                                                             unsigned_step_dataset),
+                                                                                                     framework::dataset::make("QuantizationInfo", { QuantizationInfo() })))
+{
+    // Validate output
+    validate(Accessor(_target), _reference, tolerance, 0.f, abs_tolerance);
+}
+TEST_SUITE_END() // U8
+
+TEST_SUITE(S16)
+FIXTURE_DATA_TEST_CASE(RunSmall, NERangeFixture<int16_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(
+                                                                                                                 framework::dataset::make("DataType", DataType::S16),
+                                                                                                                 start_dataset),
+                                                                                                             step_dataset),
+                                                                                                     framework::dataset::make("QuantizationInfo", { QuantizationInfo() })))
+{
+    // Validate output
+    validate(Accessor(_target), _reference, tolerance, 0.f, abs_tolerance);
+}
+TEST_SUITE_END() // S16
+
+TEST_SUITE(Float)
+#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
+TEST_SUITE(FP16)
+FIXTURE_DATA_TEST_CASE(RunSmall, NERangeFixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(
+                                                                                                              framework::dataset::make("DataType", DataType::F16),
+                                                                                                              start_dataset),
+                                                                                                          float_step_dataset),
+                                                                                                  framework::dataset::make("QuantizationInfo", { QuantizationInfo() })))
+{
+    // Validate output
+    validate(Accessor(_target), _reference, tolerance, 0.f, abs_tolerance);
+}
+TEST_SUITE_END() // FP16
+#endif           // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
+
+TEST_SUITE(FP32)
+FIXTURE_DATA_TEST_CASE(RunSmall, NERangeFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(
+                                                                                                               framework::dataset::make("DataType", DataType::F32),
+                                                                                                               start_dataset),
+                                                                                                           float_step_dataset),
+                                                                                                   framework::dataset::make("QuantizationInfo", { QuantizationInfo() })))
+{
+    // Validate output
+    validate(Accessor(_target), _reference, tolerance, 0.f, abs_tolerance);
+}
+TEST_SUITE_END() // FP32
+TEST_SUITE_END() // Float
+
+TEST_SUITE_END() // Range
+TEST_SUITE_END() // NEON
+} // namespace validation
+} // namespace test
+} // namespace arm_compute