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-rw-r--r--tests/validation/CL/Scale.cpp470
1 files changed, 280 insertions, 190 deletions
diff --git a/tests/validation/CL/Scale.cpp b/tests/validation/CL/Scale.cpp
index 848656a8d1..10a99ae34f 100644
--- a/tests/validation/CL/Scale.cpp
+++ b/tests/validation/CL/Scale.cpp
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2017-2020 ARM Limited.
+ * Copyright (c) 2017-2021 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -28,12 +28,9 @@
#include "arm_compute/runtime/TensorAllocator.h"
#include "tests/CL/CLAccessor.h"
#include "tests/PaddingCalculator.h"
-#include "tests/datasets/BorderModeDataset.h"
-#include "tests/datasets/SamplingPolicyDataset.h"
-#include "tests/datasets/ShapeDatasets.h"
+#include "tests/datasets/ScaleValidationDataset.h"
#include "tests/framework/Asserts.h"
#include "tests/framework/Macros.h"
-#include "tests/framework/datasets/Datasets.h"
#include "tests/validation/Helpers.h"
#include "tests/validation/Validation.h"
#include "tests/validation/fixtures/ScaleFixture.h"
@@ -46,6 +43,23 @@ namespace validation
{
namespace
{
+using datasets::ScaleShapesBaseDataSet;
+using datasets::ScaleInterpolationPolicySet;
+using datasets::ScaleDataLayouts;
+using datasets::ScaleSamplingPolicySet;
+using datasets::ScaleAlignCornersSamplingPolicySet;
+
+/** We consider vector size in byte 16 since the maximum size of
+ * a vector used by @ref CLScaleKernel is currently 16-byte (float4).
+ */
+constexpr uint32_t vector_byte = 16;
+
+template <typename T>
+constexpr uint32_t num_elements_per_vector()
+{
+ return vector_byte / sizeof(T);
+}
+
/** CNN data types */
const auto ScaleDataTypes = framework::dataset::make("DataType",
{
@@ -55,11 +69,10 @@ const auto ScaleDataTypes = framework::dataset::make("DataType",
DataType::F32,
});
-/** Align corners, this functionality is supported only by NEON */
-const auto AlignCorners = framework::dataset::make("AlignCorners",
+/** Quantization information data set */
+const auto QuantizationInfoSet = framework::dataset::make("QuantizationInfo",
{
- false,
- true,
+ QuantizationInfo(0.5f, -1),
});
/** Tolerance */
@@ -69,6 +82,7 @@ constexpr AbsoluteTolerance<int16_t> tolerance_s16(1);
constexpr float tolerance_f32_absolute(0.001f);
RelativeTolerance<float> tolerance_f32(0.05);
+constexpr float abs_tolerance_f16(0.1f);
RelativeTolerance<half> tolerance_f16(half(0.1));
constexpr float tolerance_num_f32(0.01f);
@@ -76,110 +90,152 @@ constexpr float tolerance_num_f32(0.01f);
TEST_SUITE(CL)
TEST_SUITE(Scale)
+TEST_SUITE(Validate)
+
+const auto default_input_shape = TensorShape{ 2, 3, 3, 2 };
+const auto default_output_shape = TensorShape{ 4, 6, 3, 2 };
+
+constexpr auto default_data_type = DataType::U8;
+constexpr auto default_data_layout = DataLayout::NHWC;
+constexpr auto default_interpolation_policy = InterpolationPolicy::NEAREST_NEIGHBOR;
+constexpr auto default_border_mode = BorderMode::UNDEFINED;
+constexpr bool default_use_padding = false;
+
+TEST_CASE(NullPtr, framework::DatasetMode::ALL)
+{
+ const auto input = TensorInfo{ default_input_shape, 1, default_data_type, default_data_layout };
+ const auto output = TensorInfo{ default_output_shape, 1, default_data_type, default_data_layout };
+ Status result{};
+
+ // nullptr is given as input
+ result = CLScale::validate(nullptr, &output, ScaleKernelInfo{ default_interpolation_policy, default_border_mode });
+ ARM_COMPUTE_EXPECT(bool(result) == false, framework::LogLevel::ERRORS);
+
+ // nullptr is given as output
+ result = CLScale::validate(&input, nullptr, ScaleKernelInfo{ default_interpolation_policy, default_border_mode });
+ ARM_COMPUTE_EXPECT(bool(result) == false, framework::LogLevel::ERRORS);
+}
+
+TEST_CASE(SupportDataType, framework::DatasetMode::ALL)
+{
+ const std::map<DataType, bool> supported_data_types =
+ {
+ { DataType::U8, true },
+ { DataType::S8, false },
+ { DataType::QSYMM8, false },
+ { DataType::QASYMM8, true },
+ { DataType::QASYMM8_SIGNED, true },
+ { DataType::QSYMM8_PER_CHANNEL, false },
+ { DataType::U16, false },
+ { DataType::S16, true },
+ { DataType::QSYMM16, false },
+ { DataType::QASYMM16, false },
+ { DataType::U32, false },
+ { DataType::S32, false },
+ { DataType::U64, false },
+ { DataType::S64, false },
+ { DataType::BFLOAT16, false },
+ { DataType::F16, true },
+ { DataType::F32, true },
+ { DataType::F64, false },
+ { DataType::SIZET, false },
+ };
+ Status result{};
+ for(auto &kv : supported_data_types)
+ {
+ const auto input = TensorInfo{ default_input_shape, 1, kv.first, default_data_layout };
+ const auto output = TensorInfo{ default_output_shape, 1, kv.first, default_data_layout };
+
+ result = CLScale::validate(&input, &output, ScaleKernelInfo{ default_interpolation_policy, default_border_mode });
+ ARM_COMPUTE_EXPECT(bool(result) == kv.second, framework::LogLevel::ERRORS);
+ }
+}
+
+TEST_CASE(SameInputOutput, framework::DatasetMode::ALL)
+{
+ const auto input = TensorInfo{ default_input_shape, 1, default_data_type, default_data_layout };
+ Status result{};
-// *INDENT-OFF*
-// clang-format off
-
-DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(
- framework::dataset::make("InputInfo",{ TensorInfo(TensorShape(28U, 32U, 2U), 1, DataType::F16),
- TensorInfo(TensorShape(28U, 32U, 2U), 1, DataType::F32),
- TensorInfo(TensorShape(36U, 36U, 2U, 4U), 1, DataType::U8),
- TensorInfo(TensorShape(40U, 35U, 2U, 4U), 1, DataType::S16),
- TensorInfo(TensorShape(37U, 37U, 2U), 1, DataType::F32), // window shrink
- TensorInfo(TensorShape(37U, 37U, 3U, 4U), 1, DataType::F32), // mismatching datatype
- TensorInfo(TensorShape(28U, 33U, 2U), 1, DataType::F32), // policy area, scale factor not correct
- }),
- framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 68U, 2U), 1, DataType::F16),
- TensorInfo(TensorShape(40U, 56U, 2U), 1, DataType::F32),
- TensorInfo(TensorShape(40U, 76U, 2U, 4U), 1, DataType::U8),
- TensorInfo(TensorShape(28U, 32U, 2U, 4U), 1, DataType::S16),
- TensorInfo(TensorShape(39U, 55U, 2U), 1, DataType::F32), // window shrink
- TensorInfo(TensorShape(39U, 77U, 3U, 4U), 1, DataType::F16), // mismatching datatype
- TensorInfo(TensorShape(26U, 21U, 2U), 1, DataType::F32), // policy area, scale factor not correct
- })),
- framework::dataset::make("Policy",{ InterpolationPolicy::BILINEAR,
- InterpolationPolicy::BILINEAR,
- InterpolationPolicy::NEAREST_NEIGHBOR,
- InterpolationPolicy::NEAREST_NEIGHBOR,
- InterpolationPolicy::NEAREST_NEIGHBOR,
- InterpolationPolicy::BILINEAR,
- InterpolationPolicy::AREA,
- })),
- framework::dataset::make("BorderMode",{ BorderMode::UNDEFINED,
- BorderMode::UNDEFINED,
- BorderMode::UNDEFINED,
- BorderMode::UNDEFINED,
- BorderMode::UNDEFINED,
- BorderMode::UNDEFINED,
- BorderMode::UNDEFINED,
- })),
- framework::dataset::make("Expected", { true, true, true, true, false, false, false })),
-input_info, output_info, policy, border_mode, expected)
-{
- Status status = CLScale::validate(&input_info.clone()->set_is_resizable(false),
- &output_info.clone()->set_is_resizable(false), policy, border_mode);
- ARM_COMPUTE_EXPECT(bool(status) == expected, framework::LogLevel::ERRORS);
-}
-
-// clang-format on
-// *INDENT-ON*
-
-DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(combine(datasets::MediumShapes(), ScaleDataTypes),
- framework::dataset::make("InterpolationPolicy", { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })),
- datasets::BorderModes()),
- datasets::SamplingPolicies()),
- shape, data_type, policy, border_mode, sampling_policy)
-{
- std::mt19937 generator(library->seed());
- std::uniform_real_distribution<float> distribution_float(0.25, 2);
- const float scale_x = distribution_float(generator);
- const float scale_y = distribution_float(generator);
- std::uniform_int_distribution<uint8_t> distribution_u8(0, 255);
- uint8_t constant_border_value = distribution_u8(generator);
-
- // Create tensors
- CLTensor src = create_tensor<CLTensor>(shape, data_type);
- TensorShape shape_scaled(shape);
- shape_scaled.set(0, shape[0] * scale_x);
- shape_scaled.set(1, shape[1] * scale_y);
- CLTensor dst = create_tensor<CLTensor>(shape_scaled, data_type);
-
- ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
- ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);
-
- // Create and configure function
- CLScale clscale;
- clscale.configure(&src, &dst, policy, border_mode, constant_border_value, sampling_policy);
-
- // Get border size depending on border mode
- const BorderSize border_size(border_mode == BorderMode::UNDEFINED ? 0 : 1);
-
- // Validate valid region
- const ValidRegion dst_valid_region = calculate_valid_region_scale(*(src.info()), shape_scaled, policy, sampling_policy, (border_mode == BorderMode::UNDEFINED));
- validate(dst.info()->valid_region(), dst_valid_region);
-
- // Validate padding
- PaddingCalculator calculator(shape_scaled.x(), 4);
- calculator.set_border_mode(border_mode);
-
- const PaddingSize read_padding(border_size);
- const PaddingSize write_padding = calculator.required_padding(PaddingCalculator::Option::EXCLUDE_BORDER);
- validate(src.info()->padding(), read_padding);
- validate(dst.info()->padding(), write_padding);
+ result = CLScale::validate(&input, &input, ScaleKernelInfo{ default_interpolation_policy, default_border_mode });
+ ARM_COMPUTE_EXPECT(bool(result) == false, framework::LogLevel::ERRORS);
}
+TEST_CASE(MissmatchingDataType, framework::DatasetMode::ALL)
+{
+ constexpr auto non_default_data_type = DataType::F32;
+
+ const auto input = TensorInfo{ default_input_shape, 1, default_data_type, default_data_layout };
+ const auto output = TensorInfo{ default_output_shape, 1, non_default_data_type, default_data_layout };
+ Status result{};
+
+ result = CLScale::validate(&input, &output, ScaleKernelInfo{ default_interpolation_policy, default_border_mode });
+ ARM_COMPUTE_EXPECT(bool(result) == false, framework::LogLevel::ERRORS);
+}
+
+TEST_CASE(AlignedCornerNotSupported, framework::DatasetMode::ALL)
+{
+ // Aligned corners require sampling policy to be TOP_LEFT.
+ constexpr auto interpolation_policy = InterpolationPolicy::BILINEAR;
+ constexpr bool align_corners = true;
+ constexpr auto sampling_policy = SamplingPolicy::CENTER;
+
+ const auto input = TensorInfo{ default_input_shape, 1, default_data_type, default_data_layout };
+ const auto output = TensorInfo{ default_output_shape, 1, default_data_type, default_data_layout };
+ Status result{};
+
+ result = CLScale::validate(&input, &output, ScaleKernelInfo{ interpolation_policy, default_border_mode, PixelValue(), sampling_policy, default_use_padding, align_corners });
+ ARM_COMPUTE_EXPECT(bool(result) == false, framework::LogLevel::ERRORS);
+}
+
+TEST_CASE(IncorrectScaleFactor, framework::DatasetMode::ALL)
+{
+ const auto input = TensorInfo{ TensorShape(28U, 33U, 2U), 1, DataType::F32 };
+ const auto output = TensorInfo{ TensorShape(26U, 21U, 2U), 1, DataType::F32 };
+ constexpr auto interpolation_policy = InterpolationPolicy::AREA;
+ Status result{};
+
+ result = CLScale::validate(&input, &output, ScaleKernelInfo{ interpolation_policy, default_border_mode });
+ ARM_COMPUTE_EXPECT(bool(result) == false, framework::LogLevel::ERRORS);
+}
+TEST_SUITE_END() // Validate
+
template <typename T>
using CLScaleFixture = ScaleValidationFixture<CLTensor, CLAccessor, CLScale, T>;
+template <typename T>
+using CLScaleMixedDataLayoutFixture = ScaleValidationFixture<CLTensor, CLAccessor, CLScale, T, true>;
TEST_SUITE(Float)
TEST_SUITE(FP32)
-FIXTURE_DATA_TEST_CASE(RunSmall, CLScaleFixture<float>, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(combine(datasets::Tiny4DShapes(), framework::dataset::make("DataType",
- DataType::F32)),
- framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
- framework::dataset::make("InterpolationPolicy", { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })),
- datasets::BorderModes()),
- datasets::SamplingPolicies()),
- AlignCorners))
+const auto f32_shape = combine((SCALE_PRECOMMIT_SHAPE_DATASET(num_elements_per_vector<float>())), framework::dataset::make("DataType", DataType::F32));
+FIXTURE_DATA_TEST_CASE(Run, CLScaleFixture<float>, framework::DatasetMode::ALL, ASSEMBLE_DATASET(f32_shape, ScaleSamplingPolicySet))
+{
+ //Create valid region
+ TensorInfo src_info(_shape, 1, _data_type);
+ const ValidRegion valid_region = calculate_valid_region_scale(src_info, _reference.shape(), _policy, _sampling_policy, (_border_mode == BorderMode::UNDEFINED));
+
+ // Validate output
+ validate(CLAccessor(_target), _reference, valid_region, tolerance_f32, tolerance_num_f32, tolerance_f32_absolute);
+}
+FIXTURE_DATA_TEST_CASE(RunMixedDataLayout, CLScaleMixedDataLayoutFixture<float>, framework::DatasetMode::ALL, ASSEMBLE_DATASET(f32_shape, ScaleSamplingPolicySet))
+{
+ //Create valid region
+ TensorInfo src_info(_shape, 1, _data_type);
+ const ValidRegion valid_region = calculate_valid_region_scale(src_info, _reference.shape(), _policy, _sampling_policy, (_border_mode == BorderMode::UNDEFINED));
+
+ // Validate output
+ validate(CLAccessor(_target), _reference, valid_region, tolerance_f32, tolerance_num_f32, tolerance_f32_absolute);
+}
+FIXTURE_DATA_TEST_CASE(RunAlignCorners, CLScaleFixture<float>, framework::DatasetMode::ALL, ASSEMBLE_DATASET(f32_shape, ScaleAlignCornersSamplingPolicySet))
+{
+ //Create valid region
+ TensorInfo src_info(_shape, 1, _data_type);
+ const ValidRegion valid_region = calculate_valid_region_scale(src_info, _reference.shape(), _policy, _sampling_policy, (_border_mode == BorderMode::UNDEFINED));
+
+ // Validate output
+ validate(CLAccessor(_target), _reference, valid_region, tolerance_f32, tolerance_num_f32, tolerance_f32_absolute);
+}
+const auto f32_nightly_shape = combine((SCALE_NIGHTLY_SHAPE_DATASET(num_elements_per_vector<float>())), framework::dataset::make("DataType", DataType::F32));
+FIXTURE_DATA_TEST_CASE(RunNightly, CLScaleFixture<float>, framework::DatasetMode::NIGHTLY, ASSEMBLE_DATASET(f32_nightly_shape, ScaleSamplingPolicySet))
{
//Create valid region
TensorInfo src_info(_shape, 1, _data_type);
@@ -188,13 +244,7 @@ FIXTURE_DATA_TEST_CASE(RunSmall, CLScaleFixture<float>, framework::DatasetMode::
// Validate output
validate(CLAccessor(_target), _reference, valid_region, tolerance_f32, tolerance_num_f32, tolerance_f32_absolute);
}
-FIXTURE_DATA_TEST_CASE(RunLarge, CLScaleFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType",
- DataType::F32)),
- framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
- framework::dataset::make("InterpolationPolicy", { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })),
- datasets::BorderModes()),
- datasets::SamplingPolicies()),
- AlignCorners))
+FIXTURE_DATA_TEST_CASE(RunNightlyAlignCorners, CLScaleFixture<float>, framework::DatasetMode::NIGHTLY, ASSEMBLE_DATASET(f32_nightly_shape, ScaleAlignCornersSamplingPolicySet))
{
//Create valid region
TensorInfo src_info(_shape, 1, _data_type);
@@ -205,48 +255,70 @@ FIXTURE_DATA_TEST_CASE(RunLarge, CLScaleFixture<float>, framework::DatasetMode::
}
TEST_SUITE_END() // FP32
TEST_SUITE(FP16)
-FIXTURE_DATA_TEST_CASE(RunSmall, CLScaleFixture<half>, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(combine(datasets::Tiny4DShapes(), framework::dataset::make("DataType",
- DataType::F16)),
- framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
- framework::dataset::make("InterpolationPolicy", { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })),
- datasets::BorderModes()),
- datasets::SamplingPolicies()),
- AlignCorners))
+const auto f16_shape = combine((SCALE_PRECOMMIT_SHAPE_DATASET(num_elements_per_vector<half>())), framework::dataset::make("DataType", DataType::F16));
+FIXTURE_DATA_TEST_CASE(Run, CLScaleFixture<half>, framework::DatasetMode::ALL, ASSEMBLE_DATASET(f16_shape, ScaleSamplingPolicySet))
{
//Create valid region
TensorInfo src_info(_shape, 1, _data_type);
const ValidRegion valid_region = calculate_valid_region_scale(src_info, _reference.shape(), _policy, _sampling_policy, (_border_mode == BorderMode::UNDEFINED));
// Validate output
- validate(CLAccessor(_target), _reference, valid_region, tolerance_f16);
+ validate(CLAccessor(_target), _reference, valid_region, tolerance_f16, 0.0f, abs_tolerance_f16);
}
-FIXTURE_DATA_TEST_CASE(RunLarge, CLScaleFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType",
- DataType::F16)),
- framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
- framework::dataset::make("InterpolationPolicy", { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })),
- datasets::BorderModes()),
- datasets::SamplingPolicies()),
- AlignCorners))
+FIXTURE_DATA_TEST_CASE(RunAlignCorners, CLScaleFixture<half>, framework::DatasetMode::ALL, ASSEMBLE_DATASET(f16_shape, ScaleAlignCornersSamplingPolicySet))
{
//Create valid region
TensorInfo src_info(_shape, 1, _data_type);
const ValidRegion valid_region = calculate_valid_region_scale(src_info, _reference.shape(), _policy, _sampling_policy, (_border_mode == BorderMode::UNDEFINED));
// Validate output
- validate(CLAccessor(_target), _reference, valid_region, tolerance_f16);
+ validate(CLAccessor(_target), _reference, valid_region, tolerance_f16, 0.0f, abs_tolerance_f16);
+}
+const auto f16_nightly_shape = combine((SCALE_NIGHTLY_SHAPE_DATASET(num_elements_per_vector<half>())), framework::dataset::make("DataType", DataType::F16));
+FIXTURE_DATA_TEST_CASE(RunNightly, CLScaleFixture<half>, framework::DatasetMode::NIGHTLY, ASSEMBLE_DATASET(f16_nightly_shape, ScaleSamplingPolicySet))
+{
+ //Create valid region
+ TensorInfo src_info(_shape, 1, _data_type);
+ const ValidRegion valid_region = calculate_valid_region_scale(src_info, _reference.shape(), _policy, _sampling_policy, (_border_mode == BorderMode::UNDEFINED));
+
+ // Validate output
+ validate(CLAccessor(_target), _reference, valid_region, tolerance_f16, 0.0f, abs_tolerance_f16);
+}
+FIXTURE_DATA_TEST_CASE(RunNightlyAlignCorners, CLScaleFixture<half>, framework::DatasetMode::NIGHTLY, ASSEMBLE_DATASET(f16_nightly_shape, ScaleAlignCornersSamplingPolicySet))
+{
+ //Create valid region
+ TensorInfo src_info(_shape, 1, _data_type);
+ const ValidRegion valid_region = calculate_valid_region_scale(src_info, _reference.shape(), _policy, _sampling_policy, (_border_mode == BorderMode::UNDEFINED));
+
+ // Validate output
+ validate(CLAccessor(_target), _reference, valid_region, tolerance_f16, 0.0f, abs_tolerance_f16);
}
TEST_SUITE_END() // FP16
TEST_SUITE_END() // Float
TEST_SUITE(Integer)
TEST_SUITE(U8)
-FIXTURE_DATA_TEST_CASE(RunSmall, CLScaleFixture<uint8_t>, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(combine(datasets::Tiny4DShapes(), framework::dataset::make("DataType",
- DataType::U8)),
- framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
- framework::dataset::make("InterpolationPolicy", { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })),
- datasets::BorderModes()),
- datasets::SamplingPolicies()),
- AlignCorners))
+const auto u8_shape = combine((SCALE_PRECOMMIT_SHAPE_DATASET(num_elements_per_vector<uint8_t>())), framework::dataset::make("DataType", DataType::U8));
+FIXTURE_DATA_TEST_CASE(Run, CLScaleFixture<uint8_t>, framework::DatasetMode::ALL, ASSEMBLE_DATASET(u8_shape, ScaleSamplingPolicySet))
+{
+ //Create valid region
+ TensorInfo src_info(_shape, 1, _data_type);
+ const ValidRegion valid_region = calculate_valid_region_scale(src_info, _reference.shape(), _policy, _sampling_policy, (_border_mode == BorderMode::UNDEFINED));
+
+ // Validate output
+ validate(CLAccessor(_target), _reference, valid_region, tolerance_q8);
+}
+FIXTURE_DATA_TEST_CASE(RunAlignCorners, CLScaleFixture<uint8_t>, framework::DatasetMode::ALL, ASSEMBLE_DATASET(u8_shape, ScaleAlignCornersSamplingPolicySet))
+{
+ //Create valid region
+ TensorInfo src_info(_shape, 1, _data_type);
+ const ValidRegion valid_region = calculate_valid_region_scale(src_info, _reference.shape(), _policy, _sampling_policy, (_border_mode == BorderMode::UNDEFINED));
+
+ // Validate output
+ validate(CLAccessor(_target), _reference, valid_region, tolerance_q8);
+}
+const auto u8_nightly_shape = combine((SCALE_NIGHTLY_SHAPE_DATASET(num_elements_per_vector<uint8_t>())), framework::dataset::make("DataType", DataType::U8));
+FIXTURE_DATA_TEST_CASE(RunNightly, CLScaleFixture<uint8_t>, framework::DatasetMode::NIGHTLY, ASSEMBLE_DATASET(u8_nightly_shape, ScaleSamplingPolicySet))
{
//Create valid region
TensorInfo src_info(_shape, 1, _data_type);
@@ -255,13 +327,7 @@ FIXTURE_DATA_TEST_CASE(RunSmall, CLScaleFixture<uint8_t>, framework::DatasetMode
// Validate output
validate(CLAccessor(_target), _reference, valid_region, tolerance_q8);
}
-FIXTURE_DATA_TEST_CASE(RunLarge, CLScaleFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType",
- DataType::U8)),
- framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
- framework::dataset::make("InterpolationPolicy", { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })),
- datasets::BorderModes()),
- datasets::SamplingPolicies()),
- AlignCorners))
+FIXTURE_DATA_TEST_CASE(RunNightlyAlignCorners, CLScaleFixture<uint8_t>, framework::DatasetMode::NIGHTLY, ASSEMBLE_DATASET(u8_nightly_shape, ScaleAlignCornersSamplingPolicySet))
{
//Create valid region
TensorInfo src_info(_shape, 1, _data_type);
@@ -272,13 +338,8 @@ FIXTURE_DATA_TEST_CASE(RunLarge, CLScaleFixture<uint8_t>, framework::DatasetMode
}
TEST_SUITE_END() // U8
TEST_SUITE(S16)
-FIXTURE_DATA_TEST_CASE(RunSmall, CLScaleFixture<int16_t>, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(combine(datasets::Tiny4DShapes(), framework::dataset::make("DataType",
- DataType::S16)),
- framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
- framework::dataset::make("InterpolationPolicy", { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })),
- datasets::BorderModes()),
- datasets::SamplingPolicies()),
- AlignCorners))
+const auto s16_shape = combine((SCALE_PRECOMMIT_SHAPE_DATASET(num_elements_per_vector<int16_t>())), framework::dataset::make("DataType", DataType::S16));
+FIXTURE_DATA_TEST_CASE(Run, CLScaleFixture<int16_t>, framework::DatasetMode::ALL, ASSEMBLE_DATASET(s16_shape, ScaleSamplingPolicySet))
{
//Create valid region
TensorInfo src_info(_shape, 1, _data_type);
@@ -287,13 +348,26 @@ FIXTURE_DATA_TEST_CASE(RunSmall, CLScaleFixture<int16_t>, framework::DatasetMode
// Validate output
validate(CLAccessor(_target), _reference, valid_region, tolerance_s16);
}
-FIXTURE_DATA_TEST_CASE(RunLarge, CLScaleFixture<int16_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType",
- DataType::S16)),
- framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
- framework::dataset::make("InterpolationPolicy", { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })),
- datasets::BorderModes()),
- datasets::SamplingPolicies()),
- AlignCorners))
+FIXTURE_DATA_TEST_CASE(RunAlignCorners, CLScaleFixture<int16_t>, framework::DatasetMode::ALL, ASSEMBLE_DATASET(s16_shape, ScaleAlignCornersSamplingPolicySet))
+{
+ //Create valid region
+ TensorInfo src_info(_shape, 1, _data_type);
+ const ValidRegion valid_region = calculate_valid_region_scale(src_info, _reference.shape(), _policy, _sampling_policy, (_border_mode == BorderMode::UNDEFINED));
+
+ // Validate output
+ validate(CLAccessor(_target), _reference, valid_region, tolerance_s16);
+}
+const auto s16_nightly_shape = combine((SCALE_NIGHTLY_SHAPE_DATASET(num_elements_per_vector<int16_t>())), framework::dataset::make("DataType", DataType::S16));
+FIXTURE_DATA_TEST_CASE(RunNightly, CLScaleFixture<int16_t>, framework::DatasetMode::NIGHTLY, ASSEMBLE_DATASET(s16_nightly_shape, ScaleSamplingPolicySet))
+{
+ //Create valid region
+ TensorInfo src_info(_shape, 1, _data_type);
+ const ValidRegion valid_region = calculate_valid_region_scale(src_info, _reference.shape(), _policy, _sampling_policy, (_border_mode == BorderMode::UNDEFINED));
+
+ // Validate output
+ validate(CLAccessor(_target), _reference, valid_region, tolerance_s16);
+}
+FIXTURE_DATA_TEST_CASE(RunNightlyAlignCorners, CLScaleFixture<int16_t>, framework::DatasetMode::NIGHTLY, ASSEMBLE_DATASET(s16_nightly_shape, ScaleAlignCornersSamplingPolicySet))
{
//Create valid region
TensorInfo src_info(_shape, 1, _data_type);
@@ -309,15 +383,28 @@ template <typename T>
using CLScaleQuantizedFixture = ScaleValidationQuantizedFixture<CLTensor, CLAccessor, CLScale, T>;
TEST_SUITE(Quantized)
TEST_SUITE(QASYMM8)
-FIXTURE_DATA_TEST_CASE(RunSmall, CLScaleQuantizedFixture<uint8_t>, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(combine(combine(datasets::Tiny4DShapes(),
- framework::dataset::make("DataType",
- DataType::QASYMM8)),
- framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.5f, -1) })),
- framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
- framework::dataset::make("InterpolationPolicy", { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })),
- datasets::BorderModes()),
- datasets::SamplingPolicies()),
- AlignCorners))
+const auto qasymm8_shape = combine((SCALE_PRECOMMIT_SHAPE_DATASET(num_elements_per_vector<uint8_t>())), framework::dataset::make("DataType", DataType::QASYMM8));
+FIXTURE_DATA_TEST_CASE(Run, CLScaleQuantizedFixture<uint8_t>, framework::DatasetMode::ALL, ASSEMBLE_QUANTIZED_DATASET(qasymm8_shape, ScaleSamplingPolicySet, QuantizationInfoSet))
+{
+ //Create valid region
+ TensorInfo src_info(_shape, 1, _data_type);
+ const ValidRegion valid_region = calculate_valid_region_scale(src_info, _reference.shape(), _policy, _sampling_policy, (_border_mode == BorderMode::UNDEFINED));
+
+ // Validate output
+ validate(CLAccessor(_target), _reference, valid_region, tolerance_q8);
+}
+FIXTURE_DATA_TEST_CASE(RunAlignCorners, CLScaleQuantizedFixture<uint8_t>, framework::DatasetMode::ALL, ASSEMBLE_QUANTIZED_DATASET(qasymm8_shape, ScaleAlignCornersSamplingPolicySet,
+ QuantizationInfoSet))
+{
+ //Create valid region
+ TensorInfo src_info(_shape, 1, _data_type);
+ const ValidRegion valid_region = calculate_valid_region_scale(src_info, _reference.shape(), _policy, _sampling_policy, (_border_mode == BorderMode::UNDEFINED));
+
+ // Validate output
+ validate(CLAccessor(_target), _reference, valid_region, tolerance_q8);
+}
+const auto qasymm8_nightly_shape = combine((SCALE_NIGHTLY_SHAPE_DATASET(num_elements_per_vector<uint8_t>())), framework::dataset::make("DataType", DataType::QASYMM8));
+FIXTURE_DATA_TEST_CASE(RunNightly, CLScaleQuantizedFixture<uint8_t>, framework::DatasetMode::NIGHTLY, ASSEMBLE_QUANTIZED_DATASET(qasymm8_nightly_shape, ScaleSamplingPolicySet, QuantizationInfoSet))
{
//Create valid region
TensorInfo src_info(_shape, 1, _data_type);
@@ -326,15 +413,8 @@ FIXTURE_DATA_TEST_CASE(RunSmall, CLScaleQuantizedFixture<uint8_t>, framework::Da
// Validate output
validate(CLAccessor(_target), _reference, valid_region, tolerance_q8);
}
-FIXTURE_DATA_TEST_CASE(RunLarge, CLScaleQuantizedFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(combine(combine(datasets::LargeShapes(),
- framework::dataset::make("DataType",
- DataType::QASYMM8)),
- framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.5f, -1) })),
- framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
- framework::dataset::make("InterpolationPolicy", { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })),
- datasets::BorderModes()),
- datasets::SamplingPolicies()),
- AlignCorners))
+FIXTURE_DATA_TEST_CASE(RunNightlyAlignCorners, CLScaleQuantizedFixture<uint8_t>, framework::DatasetMode::NIGHTLY, ASSEMBLE_QUANTIZED_DATASET(qasymm8_nightly_shape, ScaleAlignCornersSamplingPolicySet,
+ QuantizationInfoSet))
{
//Create valid region
TensorInfo src_info(_shape, 1, _data_type);
@@ -345,14 +425,29 @@ FIXTURE_DATA_TEST_CASE(RunLarge, CLScaleQuantizedFixture<uint8_t>, framework::Da
}
TEST_SUITE_END() // QASYMM8
TEST_SUITE(QASYMM8_SIGNED)
-FIXTURE_DATA_TEST_CASE(RunSmall, CLScaleQuantizedFixture<int8_t>, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(combine(combine(datasets::Tiny4DShapes(),
- framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)),
- framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.5f, -1) })),
- framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
- framework::dataset::make("InterpolationPolicy", { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })),
- datasets::BorderModes()),
- datasets::SamplingPolicies()),
- AlignCorners))
+const auto qasymm8_signed_shape = combine((SCALE_PRECOMMIT_SHAPE_DATASET(num_elements_per_vector<int8_t>())), framework::dataset::make("DataType", DataType::QASYMM8_SIGNED));
+FIXTURE_DATA_TEST_CASE(Run, CLScaleQuantizedFixture<int8_t>, framework::DatasetMode::ALL, ASSEMBLE_QUANTIZED_DATASET(qasymm8_signed_shape, ScaleSamplingPolicySet, QuantizationInfoSet))
+{
+ //Create valid region
+ TensorInfo src_info(_shape, 1, _data_type);
+ const ValidRegion valid_region = calculate_valid_region_scale(src_info, _reference.shape(), _policy, _sampling_policy, (_border_mode == BorderMode::UNDEFINED));
+
+ // Validate output
+ validate(CLAccessor(_target), _reference, valid_region, tolerance_qs8);
+}
+FIXTURE_DATA_TEST_CASE(RunAlignCorners, CLScaleQuantizedFixture<int8_t>, framework::DatasetMode::ALL, ASSEMBLE_QUANTIZED_DATASET(qasymm8_signed_shape, ScaleAlignCornersSamplingPolicySet,
+ QuantizationInfoSet))
+{
+ //Create valid region
+ TensorInfo src_info(_shape, 1, _data_type);
+ const ValidRegion valid_region = calculate_valid_region_scale(src_info, _reference.shape(), _policy, _sampling_policy, (_border_mode == BorderMode::UNDEFINED));
+
+ // Validate output
+ validate(CLAccessor(_target), _reference, valid_region, tolerance_qs8);
+}
+const auto qasymm8_signed_nightly_shape = combine((SCALE_NIGHTLY_SHAPE_DATASET(num_elements_per_vector<int8_t>())), framework::dataset::make("DataType", DataType::QASYMM8_SIGNED));
+FIXTURE_DATA_TEST_CASE(RunNightly, CLScaleQuantizedFixture<int8_t>, framework::DatasetMode::NIGHTLY, ASSEMBLE_QUANTIZED_DATASET(qasymm8_signed_nightly_shape, ScaleSamplingPolicySet,
+ QuantizationInfoSet))
{
//Create valid region
TensorInfo src_info(_shape, 1, _data_type);
@@ -361,14 +456,9 @@ FIXTURE_DATA_TEST_CASE(RunSmall, CLScaleQuantizedFixture<int8_t>, framework::Dat
// Validate output
validate(CLAccessor(_target), _reference, valid_region, tolerance_qs8);
}
-FIXTURE_DATA_TEST_CASE(RunLarge, CLScaleQuantizedFixture<int8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(combine(combine(datasets::LargeShapes(),
- framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)),
- framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.5f, -1) })),
- framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
- framework::dataset::make("InterpolationPolicy", { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })),
- datasets::BorderModes()),
- datasets::SamplingPolicies()),
- AlignCorners))
+FIXTURE_DATA_TEST_CASE(RunNightlyAlignCorners, CLScaleQuantizedFixture<int8_t>, framework::DatasetMode::NIGHTLY, ASSEMBLE_QUANTIZED_DATASET(qasymm8_signed_nightly_shape,
+ ScaleAlignCornersSamplingPolicySet,
+ QuantizationInfoSet))
{
//Create valid region
TensorInfo src_info(_shape, 1, _data_type);