commit ed2a8ed7efb54ae0ec539b8735820b2c30756c44
author Manuel Bottini <manuel.bottini@arm.com> Wed Oct 07 17:17:16 2020 +0100
committer Sheri Zhang <sheri.zhang@arm.com> Tue Oct 20 14:12:05 2020 +0000
tree 4de3adfd3fb8fa3d5a8b1df3f36e0db46d32a2b2
parent 68dd25fbe6e4d3c3513fa5993863419769aa08fc

COMPMID-3715: Remove OpenCL padding - CLElementwiseOperationKernel

Change-Id: I8a685d4ac5de747a0f775bd10be9c411cf394953
Signed-off-by: Manuel Bottini <manuel.bottini@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/4140
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Reviewed-by: Giorgio Arena <giorgio.arena@arm.com>
Reviewed-by: Sang-Hoon Park <sang-hoon.park@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>

tests/validation/CL/ArithmeticDivision.cpp

diff --git a/tests/validation/CL/ArithmeticDivision.cpp b/tests/validation/CL/ArithmeticDivision.cpp
index b927a8c..36567dc 100644
--- a/tests/validation/CL/ArithmeticDivision.cpp
+++ b/tests/validation/CL/ArithmeticDivision.cpp
@@ -68,23 +68,20 @@
 DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(
                framework::dataset::make("Input1Info", { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
                                                         TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
-                                                        TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),      // Window shrink
                                                         TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),      // Invalid data type combination
                                                         TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),     // Mismatching shapes
                                                       }),
                framework::dataset::make("Input2Info",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
                                                        TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F16),
-                                                       TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),
                                                        TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16),
                                                        TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32),
                                                      })),
                framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
                                                        TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
-                                                       TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),
                                                        TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
                                                        TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32),
                                                      })),
-               framework::dataset::make("Expected", { true, false, false, false, false})),
+               framework::dataset::make("Expected", { true, false, false, false})),
                input1_info, input2_info, output_info, expected)
 {
     ARM_COMPUTE_EXPECT(bool(CLArithmeticDivision::validate(&input1_info.clone()->set_is_resizable(false), &input2_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false))) == expected, framework::LogLevel::ERRORS);