COMPMID-1722 : CL: Implement Range

Change-Id: I88da6eb5289c303b1dc91606c1560ce629746058
Reviewed-on: https://review.mlplatform.org/381
Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>

4 files changed, 424 insertions, 0 deletions

diff --git a/tests/validation/CL/Range.cpp b/tests/validation/CL/Range.cpp
new file mode 100644
index 0000000000..b1804f2184
--- /dev/null
+++ b/tests/validation/CL/Range.cpp
@@ -0,0 +1,162 @@
+/*
+ * Copyright (c) 2018 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/CL/CLTensor.h"
+#include "arm_compute/runtime/CL/CLTensorAllocator.h"
+#include "arm_compute/runtime/CL/functions/CLRange.h"
+#include "tests/CL/CLAccessor.h"
+#include "tests/PaddingCalculator.h"
+#include "tests/datasets/ConvertPolicyDataset.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(CL)
+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::U8),
+                                                      }),
+               framework::dataset::make("Start",{ 0.0f, 15.0f, 1500.0f, 100.0f, -15.0f, 0.2f , 2.0f , 10.0f})),
+               framework::dataset::make("End",{ 100.0f, 15.0f, 2500.0f, -1000.0f, 15.0f, 10.0f, 10.0f,100.0f })),
+               framework::dataset::make("Step",{ 100.0f, 15.0f, 10.0f, 100.0f, -15.0f, 1.0f, 0.0f, 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
+                                                    true,
+                                                    })),
+               output_info, start, end, step, expected)
+{
+    ARM_COMPUTE_EXPECT(bool(CLRange::validate(&output_info, start, end, step)) == expected, framework::LogLevel::ERRORS);
+}
+// clang-format on
+// *INDENT-ON*
+
+template <typename T>
+using CLRangeFixture = RangeFixture<CLTensor, CLAccessor, CLRange, T>;
+
+TEST_SUITE(U8)
+FIXTURE_DATA_TEST_CASE(RunSmall, CLRangeFixture<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(CLAccessor(_target), _reference, tolerance, 0.f, abs_tolerance);
+}
+TEST_SUITE_END() //U8
+
+TEST_SUITE(Quantized)
+TEST_SUITE(QASYMM8)
+
+FIXTURE_DATA_TEST_CASE(RunSmall, CLRangeFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(
+                                                                                                                 framework::dataset::make("DataType", DataType::QASYMM8),
+                                                                                                                 start_dataset),
+                                                                                                             step_dataset),
+                                                                                                     framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.3457f, 120.0f) })))
+{
+    // Validate output
+    validate(CLAccessor(_target), _reference, tolerance, 0.f, abs_tolerance);
+}
+TEST_SUITE_END() //QASYMM8
+TEST_SUITE_END() //Quantized
+
+TEST_SUITE(S16)
+FIXTURE_DATA_TEST_CASE(RunSmall, CLRangeFixture<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(CLAccessor(_target), _reference, tolerance, 0.f, abs_tolerance);
+}
+TEST_SUITE_END() //S16
+
+TEST_SUITE(Float)
+TEST_SUITE(FP16)
+FIXTURE_DATA_TEST_CASE(RunSmall, CLRangeFixture<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(CLAccessor(_target), _reference, tolerance, 0.f, abs_tolerance);
+}
+TEST_SUITE_END() //FP16
+
+TEST_SUITE(FP32)
+FIXTURE_DATA_TEST_CASE(RunSmall, CLRangeFixture<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(CLAccessor(_target), _reference, tolerance, 0.f, abs_tolerance);
+}
+TEST_SUITE_END() //FP32
+TEST_SUITE_END() //Float
+
+TEST_SUITE_END() //Range
+TEST_SUITE_END() //CL
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
diff --git a/tests/validation/fixtures/RangeFixture.h b/tests/validation/fixtures/RangeFixture.h
new file mode 100644
index 0000000000..c192eee14f
--- /dev/null
+++ b/tests/validation/fixtures/RangeFixture.h
@@ -0,0 +1,140 @@
+/*
+ * Copyright (c) 2018 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.
+ */
+#ifndef ARM_COMPUTE_TEST_RANGE_FIXTURE
+#define ARM_COMPUTE_TEST_RANGE_FIXTURE
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+#include "tests/AssetsLibrary.h"
+#include "tests/Globals.h"
+#include "tests/IAccessor.h"
+#include "tests/framework/Asserts.h"
+#include "tests/framework/Fixture.h"
+#include "tests/validation/Helpers.h"
+#include "tests/validation/reference/Range.h"
+
+#include <algorithm>
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+namespace
+{
+size_t num_of_elements_in_range(float start, float end, float step)
+{
+    ARM_COMPUTE_ERROR_ON(step == 0);
+    return size_t(std::ceil((end - start) / step));
+}
+}
+
+template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
+class RangeFixture : public framework::Fixture
+{
+public:
+    template <typename...>
+    void setup(const DataType data_type0, float start, float step, const QuantizationInfo qinfo0 = QuantizationInfo())
+    {
+        _target    = compute_target(data_type0, qinfo0, start, step);
+        _reference = compute_reference(data_type0, qinfo0, start, step);
+    }
+
+protected:
+    float get_random_end(const DataType output_data_type, const QuantizationInfo qinfo_out, float start, float step)
+    {
+        std::uniform_real_distribution<> distribution(1, 100);
+        std::mt19937                     gen(library->seed());
+        float                            end = start;
+        switch(output_data_type)
+        {
+            case DataType::U8:
+                end += std::max((uint8_t)1, static_cast<uint8_t>(distribution(gen))) * step;
+                return utility::clamp<float, uint8_t>(end);
+            case DataType::U16:
+                end += std::max((uint16_t)1, static_cast<uint16_t>(distribution(gen))) * step;
+                return utility::clamp<float, uint16_t>(end);
+            case DataType::U32:
+                end += std::max((uint32_t)1, static_cast<uint32_t>(distribution(gen))) * step;
+                return utility::clamp<float, uint32_t>(end);
+            case DataType::S8:
+                end += std::max((int8_t)1, static_cast<int8_t>(distribution(gen))) * step;
+                return utility::clamp<float, int8_t>(end);
+            case DataType::S16:
+                end += std::max((int16_t)1, static_cast<int16_t>(distribution(gen))) * step;
+                return utility::clamp<float, int16_t>(end);
+            case DataType::S32:
+                end += std::max((int32_t)1, static_cast<int32_t>(distribution(gen))) * step;
+                return utility::clamp<float, int32_t>(end);
+            case DataType::F32:
+                end += std::max(1.0f, static_cast<float>(distribution(gen))) * step;
+                return end;
+            case DataType::F16:
+                end += std::max(half(1.0f), static_cast<half>(distribution(gen))) * step;
+                return utility::clamp<float, half>(end);
+            case DataType::QASYMM8:
+                return utility::clamp<float, uint8_t>(end + (float)distribution(gen) * step, qinfo_out.dequantize(0), qinfo_out.dequantize(std::numeric_limits<uint8_t>::max()));
+            default:
+                return 0;
+        }
+    }
+
+    TensorType compute_target(const DataType output_data_type, const QuantizationInfo qinfo_out, float start, float step)
+    {
+        float  end             = get_random_end(output_data_type, qinfo_out, start, step);
+        size_t num_of_elements = num_of_elements_in_range(start, end, step);
+        // Create tensor
+        TensorType dst = create_tensor<TensorType>(TensorShape(num_of_elements), output_data_type, 1, qinfo_out);
+        // Create and configure function
+        FunctionType range_func;
+        range_func.configure(&dst, start, end, step);
+
+        ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);
+        // Allocate tensors
+        dst.allocator()->allocate();
+
+        ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS);
+
+        // Compute function
+        range_func.run();
+        return dst;
+    }
+
+    SimpleTensor<T> compute_reference(const DataType output_data_type, const QuantizationInfo qinfo_out, float start, float step)
+    {
+        // Create tensor
+        const float     end             = get_random_end(output_data_type, qinfo_out, start, step);
+        size_t          num_of_elements = num_of_elements_in_range(start, end, step);
+        SimpleTensor<T> ref_dst{ TensorShape(num_of_elements ? num_of_elements : 1), output_data_type, 1, qinfo_out };
+        return reference::range<T>(ref_dst, start, num_of_elements, step);
+    }
+
+    TensorType      _target{};
+    SimpleTensor<T> _reference{};
+};
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_RANGE_FIXTURE */
diff --git a/tests/validation/reference/Range.cpp b/tests/validation/reference/Range.cpp
new file mode 100644
index 0000000000..c24512fa9d
--- /dev/null
+++ b/tests/validation/reference/Range.cpp
@@ -0,0 +1,77 @@
+/*
+ * Copyright (c) 2018 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 "tests/validation/Helpers.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+namespace reference
+{
+namespace
+{
+template <typename T>
+void generate_range(SimpleTensor<T> &dst, float start, const size_t num_of_elements, float step)
+{
+    float val = start;
+    for(size_t index = 0; index < num_of_elements; index++)
+    {
+        dst[index] = static_cast<T>(val);
+        val += step;
+    }
+}
+} // namespace
+
+template <typename T>
+SimpleTensor<T> range(SimpleTensor<T> &dst, float start, const size_t num_of_elements, float step)
+{
+    generate_range(dst, start, num_of_elements, step);
+    return dst;
+}
+
+template <>
+SimpleTensor<uint8_t> range(SimpleTensor<uint8_t> &dst, float start, const size_t num_of_elements, float step)
+{
+    if(dst.data_type() == DataType::QASYMM8)
+    {
+        SimpleTensor<float> dst_tmp{ dst.shape(), DataType::F32, 1 };
+        generate_range(dst_tmp, start, num_of_elements, step);
+        return convert_to_asymmetric(dst_tmp, dst.quantization_info());
+    }
+    generate_range(dst, start, num_of_elements, step);
+    return dst;
+}
+template SimpleTensor<float> range(SimpleTensor<float> &dst, float start, const size_t num_of_elements, float step);
+template SimpleTensor<half> range(SimpleTensor<half> &dst, float start, const size_t num_of_elements, float step);
+template SimpleTensor<int8_t> range(SimpleTensor<int8_t> &dst, float start, const size_t num_of_elements, float step);
+template SimpleTensor<uint16_t> range(SimpleTensor<uint16_t> &dst, float start, const size_t num_of_elements, float step);
+template SimpleTensor<int16_t> range(SimpleTensor<int16_t> &dst, float start, const size_t num_of_elements, float step);
+
+} // namespace reference
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
diff --git a/tests/validation/reference/Range.h b/tests/validation/reference/Range.h
new file mode 100644
index 0000000000..d31166bb86
--- /dev/null
+++ b/tests/validation/reference/Range.h
@@ -0,0 +1,45 @@
+/*
+ * Copyright (c) 2018 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.
+ */
+#ifndef __ARM_COMPUTE_TEST_RANGE_H__
+#define __ARM_COMPUTE_TEST_RANGE_H__
+
+#include "tests/SimpleTensor.h"
+#include "tests/validation/Helpers.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+namespace reference
+{
+template <typename T>
+SimpleTensor<T> range(SimpleTensor<T> &dst, float start, size_t num_elements, float step);
+
+} // namespace reference
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
+#endif /* __ARM_COMPUTE_TEST_RANGE_H__ */