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| author | Georgios Pinitas <georgios.pinitas@arm.com> | 2017-11-13 12:58:41 +0000 |
|---|---|---|
| committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:35:24 +0000 |
| commit | 4c2dd54d6983275530ef20f9dbb4ce6080c7307b (patch) | |
| tree | ddef97fa862d8a08faa42e2c624b029018591d13 /tests/validation/CL/PoolingLayer.cpp | |
| parent | fa330439b88af04f96c23b75e36a5a7813b89711 (diff) | |
| download | ComputeLibrary-4c2dd54d6983275530ef20f9dbb4ce6080c7307b.tar.gz | |
COMPMID-671: Add global pooling layer support.
Change-Id: Iead7497cc03e1e7bde440d2965a7bf54cbfa88bf
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/95579
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
Reviewed-by: Joel Liang <joel.liang@arm.com>
Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Diffstat (limited to 'tests/validation/CL/PoolingLayer.cpp')
| -rw-r--r-- | tests/validation/CL/PoolingLayer.cpp | 11 |
1 files changed, 10 insertions, 1 deletions
diff --git a/tests/validation/CL/PoolingLayer.cpp b/tests/validation/CL/PoolingLayer.cpp index b3d56122db..c7c3b4192e 100644 --- a/tests/validation/CL/PoolingLayer.cpp +++ b/tests/validation/CL/PoolingLayer.cpp @@ -78,6 +78,9 @@ DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip( TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), // Invalid pad/size combination TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), // Invalid pad/size combination TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QASYMM8, 0), // Invalid parameters + TensorInfo(TensorShape(15U, 13U, 5U), 1, DataType::F32, 0), // Non-rectangular Global Pooling + TensorInfo(TensorShape(13U, 13U, 5U), 1, DataType::F32, 0), // Invalid output Global Pooling + TensorInfo(TensorShape(13U, 13U, 5U), 1, DataType::F32, 0), }), framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F16, 0), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32, 0), @@ -86,6 +89,9 @@ DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip( TensorInfo(TensorShape(30U, 11U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(25U, 16U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QASYMM8, 0), + TensorInfo(TensorShape(1U, 1U, 5U), 1, DataType::F32, 0), + TensorInfo(TensorShape(2U, 2U, 5U), 1, DataType::F32, 0), + TensorInfo(TensorShape(1U, 1U, 5U), 1, DataType::F32, 0), })), framework::dataset::make("PoolInfo", { PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 0, 0)), PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 0, 0)), @@ -94,8 +100,11 @@ DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip( PoolingLayerInfo(PoolingType::AVG, 2, PadStrideInfo(1, 1, 2, 0)), PoolingLayerInfo(PoolingType::AVG, 2, PadStrideInfo(1, 1, 0, 2)), PoolingLayerInfo(PoolingType::L2, 3, PadStrideInfo(1, 1, 0, 0)), + PoolingLayerInfo(PoolingType::AVG), + PoolingLayerInfo(PoolingType::MAX), + PoolingLayerInfo(PoolingType::AVG), })), - framework::dataset::make("Expected", { true, false, true, false, true, true, true })), + framework::dataset::make("Expected", { true, false, true, false, true, true, true, true, true, false })), input_info, output_info, pool_info, expected) { ARM_COMPUTE_EXPECT(bool(CLPoolingLayer::validate(&input_info, &output_info, pool_info)) == expected, framework::LogLevel::ERRORS); |