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authorMichele Di Giorgio <michele.digiorgio@arm.com>2018-04-13 14:28:08 +0100
committerAnthony Barbier <anthony.barbier@arm.com>2018-11-02 16:49:54 +0000
commit164b65d3c8f61f1d6d404fb484c1998a20a2cbda (patch)
treeb60b9f49066ca8c008726dd193e4e0bd56ac1168 /tests/validation/GLES_COMPUTE
parent0cbb927ac309e332ac6e6f1ab9170f041f0138ab (diff)
downloadComputeLibrary-164b65d3c8f61f1d6d404fb484c1998a20a2cbda.tar.gz
COMPMID-1043: Rework GCGEMMMatrixMultiplyKernel interface and allow auto initialization of the tensors
This patch also: - removes support for already reshaped weights in GCConvolutionLayer - makes GCConvolutionLayer similar to CLGEMMConvolutionLayer - enables usage of the GCGEMM function in GCConvolution instead of calling the GEMM kernels directly Change-Id: I3e4a64335555e86e18585d38d8fda4bfdb44e265 Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/127696 Tested-by: Jenkins <bsgcomp@arm.com> Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Diffstat (limited to 'tests/validation/GLES_COMPUTE')
-rw-r--r--tests/validation/GLES_COMPUTE/ConvolutionLayer.cpp8
1 files changed, 4 insertions, 4 deletions
diff --git a/tests/validation/GLES_COMPUTE/ConvolutionLayer.cpp b/tests/validation/GLES_COMPUTE/ConvolutionLayer.cpp
index a23c3ec4d7..bc0170fa06 100644
--- a/tests/validation/GLES_COMPUTE/ConvolutionLayer.cpp
+++ b/tests/validation/GLES_COMPUTE/ConvolutionLayer.cpp
@@ -118,7 +118,7 @@ using GCConvolutionLayerFixture = ConvolutionValidationFixture<GCTensor, GCAcces
TEST_SUITE(Float)
TEST_SUITE(FP16)
FIXTURE_DATA_TEST_CASE(RunSmall, GCConvolutionLayerFixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallConvolutionLayerDataset(),
- framework::dataset::make("ReshapeWeights", { true, false })),
+ framework::dataset::make("ReshapeWeights", { true })),
framework::dataset::make("DataType",
DataType::F16)),
ActivationFunctionsDataset))
@@ -127,7 +127,7 @@ FIXTURE_DATA_TEST_CASE(RunSmall, GCConvolutionLayerFixture<half>, framework::Dat
validate(GCAccessor(_target), _reference, tolerance_f16, tolerance_num);
}
FIXTURE_DATA_TEST_CASE(RunLarge, GCConvolutionLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeConvolutionLayerDataset(),
- framework::dataset::make("ReshapeWeights", { true, false })),
+ framework::dataset::make("ReshapeWeights", { true })),
framework::dataset::make("DataType",
DataType::F16)),
ActivationFunctionsDataset))
@@ -139,7 +139,7 @@ TEST_SUITE_END()
TEST_SUITE(FP32)
FIXTURE_DATA_TEST_CASE(RunSmall, GCConvolutionLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallConvolutionLayerDataset(),
- framework::dataset::make("ReshapeWeights", { true, false })),
+ framework::dataset::make("ReshapeWeights", { true })),
framework::dataset::make("DataType", DataType::F32)),
ActivationFunctionsDataset))
{
@@ -147,7 +147,7 @@ FIXTURE_DATA_TEST_CASE(RunSmall, GCConvolutionLayerFixture<float>, framework::Da
validate(GCAccessor(_target), _reference, tolerance_f32, tolerance_num);
}
FIXTURE_DATA_TEST_CASE(RunLarge, GCConvolutionLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeConvolutionLayerDataset(),
- framework::dataset::make("ReshapeWeights", { true, false })),
+ framework::dataset::make("ReshapeWeights", { true })),
framework::dataset::make("DataType", DataType::F32)),
ActivationFunctionsDataset))
{