commit 5bdde8509542e942e908e9d508dd39c73194abfb
author SiCong Li <sicong.li@arm.com> Wed Aug 26 13:55:15 2020 +0100
committer SiCong Li <sicong.li@arm.com> Fri Aug 28 13:00:32 2020 +0000
tree 23ebe231e1bd04f0923589878f6c7cf930b033cf
parent ce7c44117918ed4d01c60010565d942d2221748e

COMPMID-3670 Extend cl image support to f16 in CLGEMMReshapeRHSMatrixKernel

Change-Id: Ic0569fe9ed99e61084b601ce84ddc7ef288d1899
Signed-off-by: SiCong Li <sicong.li@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/3852
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>

tests/validation/CL/GEMMReshapeRHSMatrix.cpp

diff --git a/tests/validation/CL/GEMMReshapeRHSMatrix.cpp b/tests/validation/CL/GEMMReshapeRHSMatrix.cpp
index c7b0752..579ed32 100644
--- a/tests/validation/CL/GEMMReshapeRHSMatrix.cpp
+++ b/tests/validation/CL/GEMMReshapeRHSMatrix.cpp
@@ -46,9 +46,6 @@
 {
 // *INDENT-OFF*
 // clang-format off
-/** Data types */
-const auto data_types = framework::dataset::make("DataType", { DataType::QASYMM8, DataType::F16, DataType::F32 });
-
 /** Batch size values to test */
 const auto b_values = framework::dataset::make("batchsize", 1, 3);
 
@@ -124,19 +121,20 @@
     ARM_COMPUTE_EXPECT(has_error == expected, framework::LogLevel::ERRORS);
 }
 
-DATA_TEST_CASE(ValidatePadding, framework::DatasetMode::ALL, combine(combine(combine(
+DATA_TEST_CASE(ValidatePadding, framework::DatasetMode::ALL, combine(combine(combine(combine(
                framework::dataset::make("InputShape", { TensorShape(32U, 16U, 1U),
                                                         TensorShape(32U, 16U, 2U)
                                                      }),
                 framework::dataset::make("N0",{ 4 })),
                 framework::dataset::make("K0",{ 4, 8, 16 })),
                 framework::dataset::make("H0",{ 1, 2, 4 })),
-               input_shape, n0, k0, h0)
+                framework::dataset::make("DataType",{ DataType::F32, DataType::F16 })),
+               input_shape, n0, k0, h0, data_type)
 {
     CLTensor input;
     CLTensor output;
 
-    input.info()->init(input_shape, 1, DataType::F32);
+    input.info()->init(input_shape, 1, data_type);
 
     unsigned int padding = 0;