commit a8aef2916379402e241d9f2c5e0faf3f99c860f7
author Gian Marco Iodice <gianmarco.iodice@arm.com> Mon May 14 14:21:39 2018 +0100
committer Anthony Barbier <anthony.barbier@arm.com> Fri Nov 02 16:52:35 2018 +0000
tree accf1f74bb836766260dbdb90aad7b6048c675d2
parent cb0010b02281245c66d5c996fa9ef8b22f036a2d

COMPMID-792 - Re-enabled Winograd on NEON in all graph examples.

Since now the input transform can be multi-threaded, I re-ebaled Winograd in all graph examples

Change-Id: I39ef78243bb47fdae135e18dcae2102af0675b3b
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/131048
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Tested-by: Jenkins <bsgcomp@arm.com>

tests/validation/CL/DilatedConvolutionLayer.cpp

diff --git a/tests/validation/CL/DilatedConvolutionLayer.cpp b/tests/validation/CL/DilatedConvolutionLayer.cpp
index 9da7c32..25931c0 100644
--- a/tests/validation/CL/DilatedConvolutionLayer.cpp
+++ b/tests/validation/CL/DilatedConvolutionLayer.cpp
@@ -66,13 +66,13 @@
 DATA_TEST_CASE(ValidateConvolutionMethod, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(
                                                                                                framework::dataset::make("InputInfo", { TensorInfo(TensorShape(17U, 31U, 2U), 1, DataType::F32, 0),
                                                                                                                         TensorInfo(TensorShape(17U, 31U, 2U), 1, DataType::F32, 0),
-                                                                                                                        TensorInfo(TensorShape(23U, 27U, 5U, 4U), 1, DataType::F32, 0),
+                                                                                                                        TensorInfo(TensorShape(23U, 27U, 23U, 4U), 1, DataType::F32, 0),
                                                                                                                         TensorInfo(TensorShape(3U, 3U, 2U, 1U), 1, DataType::F32, 0),
                                                                                                                         TensorInfo(TensorShape(33U, 27U, 7U, 4U), 1, DataType::F32, 0)
                                                                                                                                      }),
                                                                                                framework::dataset::make("WeightsInfo", { TensorInfo(TensorShape(5U, 5U, 2U, 19U), 1, DataType::F32, 0),
                                                                                                                         TensorInfo(TensorShape(5U, 5U, 2U, 19U), 1, DataType::F32, 0),
-                                                                                                                        TensorInfo(TensorShape(3U, 3U, 5U, 21U), 1, DataType::F32, 0),
+                                                                                                                        TensorInfo(TensorShape(3U, 3U, 23U, 21U), 1, DataType::F32, 0),
                                                                                                                         TensorInfo(TensorShape(3U, 3U, 5U, 21U), 1, DataType::F32, 0),
                                                                                                                         TensorInfo(TensorShape(5U, 5U, 7U, 16U), 1, DataType::F16, 0)
                                                                                                                                        })),