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| author | Michalis Spyrou <michalis.spyrou@arm.com> | 2020-11-24 00:16:49 +0000 |
|---|---|---|
| committer | Michalis Spyrou <michalis.spyrou@arm.com> | 2020-11-24 13:52:36 +0000 |
| commit | cac09dc7c9b9fed58f8c9c2a611840592be40bf9 (patch) | |
| tree | 0abd9a566524b9a095e7fbf1bca52890152240cb /tests/validation/GLES_COMPUTE/UNIT/DynamicTensor.cpp | |
| parent | baeef3d25545257db80d126fbb5624ceb22ba660 (diff) | |
| download | ComputeLibrary-cac09dc7c9b9fed58f8c9c2a611840592be40bf9.tar.gz | |
COMPMID-4019: Disable CV/GLES from running on precommits
Moving all GLES and CV tests on nightlies.
Change-Id: I0f4288dc2f23bafea1597a4046c2953bdefcc3d7
Signed-off-by: Michalis Spyrou <michalis.spyrou@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/4535
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'tests/validation/GLES_COMPUTE/UNIT/DynamicTensor.cpp')
| -rw-r--r-- | tests/validation/GLES_COMPUTE/UNIT/DynamicTensor.cpp | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/tests/validation/GLES_COMPUTE/UNIT/DynamicTensor.cpp b/tests/validation/GLES_COMPUTE/UNIT/DynamicTensor.cpp index 72851a594c..6d57f84acc 100644 --- a/tests/validation/GLES_COMPUTE/UNIT/DynamicTensor.cpp +++ b/tests/validation/GLES_COMPUTE/UNIT/DynamicTensor.cpp @@ -64,7 +64,7 @@ using GCDynamicTensorType3SingleFunction = DynamicTensorType3SingleFunction<GCTe * change the input and output size requesting more memory and go through the manage/allocate process. * The memory manager should be able to update the inner structures and allocate the requested memory * */ -FIXTURE_DATA_TEST_CASE(DynamicTensorType3Single, GCDynamicTensorType3SingleFunction, framework::DatasetMode::ALL, +FIXTURE_DATA_TEST_CASE(DynamicTensorType3Single, GCDynamicTensorType3SingleFunction, framework::DatasetMode::NIGHTLY, framework::dataset::zip(framework::dataset::make("Level0Shape", { TensorShape(12U, 11U, 3U), TensorShape(256U, 8U, 12U) }), framework::dataset::make("Level1Shape", { TensorShape(67U, 31U, 15U), TensorShape(11U, 2U, 3U) }))) { |