commit f9d3a0a12ede4db89348fd924274c9acc6809bb2
author Georgios Pinitas <georgios.pinitas@arm.com> Fri Nov 03 19:01:44 2017 +0000
committer Anthony Barbier <anthony.barbier@arm.com> Fri Nov 02 16:35:24 2018 +0000
tree 73080e4a230c4db248d6f9e16181eab09c8168dc
parent d6afedc775220f17317f1835a4d18b72a54525de

COMPMID-617: Add validation functions.

Added validation routines to the following kernels.
-CLActivationLayer
-CLBatchNormalizationLayer
-CLArithmeticAddition
-CLArithmeticSubtraction
-CLPixelwiseMultiplication

Change-Id: I0f3a03154f9e392279f715af656683cd0ad4cef5
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/94595
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>

tests/validation/CL/ActivationLayer.cpp

diff --git a/tests/validation/CL/ActivationLayer.cpp b/tests/validation/CL/ActivationLayer.cpp
index 83bd2d0..becfb84 100644
--- a/tests/validation/CL/ActivationLayer.cpp
+++ b/tests/validation/CL/ActivationLayer.cpp
@@ -156,6 +156,41 @@
     }
 }
 
+// *INDENT-OFF*
+// clang-format off
+DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(
+               framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),     // Mismatching data types
+                                                       TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),
+                                                       TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QASYMM8),
+                                                       TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QASYMM8), // Unsupported activation
+                                                       TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),     // Mismatching shapes
+                                                       TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QS8, 2),  // Mismatching fixed point
+                                                       TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QS8, 2),
+                                                     }),
+               framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16),
+                                                       TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),
+                                                       TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QASYMM8),
+                                                       TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QASYMM8),
+                                                       TensorInfo(TensorShape(30U, 11U, 2U), 1, DataType::F32),
+                                                       TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QS8, 3),
+                                                       TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QS8, 2),
+                                                     })),
+               framework::dataset::make("ActivationInfo", { ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU),
+                                                            ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU),
+                                                            ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU),
+                                                            ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU),
+                                                            ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU),
+                                                            ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU),
+                                                            ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU),
+                                                          })),
+               framework::dataset::make("Expected", { true, false, false, true, true, true, false })),
+               input_info, output_info, act_info, expected)
+{
+    ARM_COMPUTE_EXPECT(bool(CLActivationLayer::validate(&input_info, &output_info, act_info)) == expected, framework::LogLevel::ERRORS);
+}
+// clang-format on
+// *INDENT-ON*
+
 template <typename T>
 using CLActivationLayerFixture = ActivationValidationFixture<CLTensor, CLAccessor, CLActivationLayer, T>;