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authorMichalis Spyrou <michalis.spyrou@arm.com>2019-01-10 17:19:50 +0000
committerMichalis Spyrou <michalis.spyrou@arm.com>2019-01-17 11:09:55 +0000
commit80943253e63779b61412264ff4c58b406cf061ae (patch)
tree1d1309d1c2a9ef5a6fceb21237f8117fd250f40a /tests/validation/CL/QuantizationLayer.cpp
parent57016a419c89e737216fd12711e6eba7e030061e (diff)
downloadComputeLibrary-80943253e63779b61412264ff4c58b406cf061ae.tar.gz
COMPMID-1652 CL Cleanup and add missing tests
Change-Id: I359cc0fd0c3fa42ab10a770e59d58704403889b2 Reviewed-on: https://review.mlplatform.org/498 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com> Reviewed-by: Isabella Gottardi <isabella.gottardi@arm.com>
Diffstat (limited to 'tests/validation/CL/QuantizationLayer.cpp')
-rw-r--r--tests/validation/CL/QuantizationLayer.cpp41
1 files changed, 32 insertions, 9 deletions
diff --git a/tests/validation/CL/QuantizationLayer.cpp b/tests/validation/CL/QuantizationLayer.cpp
index 0747fe9da3..f0cc4ccafa 100644
--- a/tests/validation/CL/QuantizationLayer.cpp
+++ b/tests/validation/CL/QuantizationLayer.cpp
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2017 ARM Limited.
+ * Copyright (c) 2017-2019 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -43,15 +43,38 @@ namespace validation
namespace
{
constexpr AbsoluteTolerance<float> tolerance_f32(1.0f); /**< Tolerance value for comparing reference's output against implementation's output for floating point data types */
-const auto QuantizationShapes = concat(concat(concat(datasets::Small3DShapes(),
- datasets::Large3DShapes()),
- datasets::Small4DShapes()),
- datasets::Large4DShapes());
+const auto QuantizationShapes = concat(datasets::Small3DShapes(),
+ datasets::Small4DShapes());
} // namespace
TEST_SUITE(CL)
TEST_SUITE(QuantizationLayer)
+// *INDENT-OFF*
+// clang-format off
+DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(
+ framework::dataset::make("InputInfo", { TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::U8), // Wrong input data type
+ TensorInfo(TensorShape(16U, 5U, 16U), 1, DataType::U8), // Invalid shape
+ TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::F32), // Wrong output data type
+ TensorInfo(TensorShape(16U, 16U, 2U, 5U), 1, DataType::U8), // Mismatching shapes
+ TensorInfo(TensorShape(17U, 16U, 16U, 5U), 1, DataType::U8), // Shrink window
+ TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::F32), // Valid
+ }),
+ framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::F32),
+ TensorInfo(TensorShape(16U, 5U, 16U), 1, DataType::U8),
+ TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::U16),
+ TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::F32),
+ TensorInfo(TensorShape(17U, 16U, 16U, 5U), 1, DataType::F32),
+ TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::U8),
+ })),
+ framework::dataset::make("Expected", { false, false, false, false, false, true})),
+ input_info, output_info, expected)
+{
+ ARM_COMPUTE_EXPECT(bool(CLQuantizationLayer::validate(&input_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false))) == expected, framework::LogLevel::ERRORS);
+}
+// clang-format on
+// *INDENT-ON*
+
DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(QuantizationShapes, framework::dataset::make("DataType", DataType::F32)), shape, data_type)
{
// Create tensors
@@ -93,11 +116,11 @@ FIXTURE_DATA_TEST_CASE(RunLarge, CLQuantizationLayerFixture<float>, framework::D
// Validate output
validate(CLAccessor(_target), _reference, tolerance_f32);
}
-TEST_SUITE_END()
-TEST_SUITE_END()
+TEST_SUITE_END() // FP32
+TEST_SUITE_END() // Float
-TEST_SUITE_END()
-TEST_SUITE_END()
+TEST_SUITE_END() // QuantizationLayer
+TEST_SUITE_END() // CL
} // namespace validation
} // namespace test
} // namespace arm_compute