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| author | Michalis Spyrou <michalis.spyrou@arm.com> | 2018-01-30 10:54:39 +0000 |
|---|---|---|
| committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:45:00 +0000 |
| commit | d466c2d25346ec0b4ed1cc122de93c54534107b3 (patch) | |
| tree | 98a86b821f0c4f2461f2eab60e499f45fcd02191 /tests/validation/CL/FullyConnectedLayer.cpp | |
| parent | c0079e9380c0d3963fd3ff9a775b4914169c975f (diff) | |
| download | ComputeLibrary-d466c2d25346ec0b4ed1cc122de93c54534107b3.tar.gz | |
COMPMID-833 Direct convolution, Normalization and
Fully Connected test names are not unique
Change-Id: Ie4654cc1cb4720c51a3114162043562d5cbc6d28
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/118126
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Tested-by: Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'tests/validation/CL/FullyConnectedLayer.cpp')
| -rw-r--r-- | tests/validation/CL/FullyConnectedLayer.cpp | 14 |
1 files changed, 5 insertions, 9 deletions
diff --git a/tests/validation/CL/FullyConnectedLayer.cpp b/tests/validation/CL/FullyConnectedLayer.cpp index aba92f14d8..2fa8189329 100644 --- a/tests/validation/CL/FullyConnectedLayer.cpp +++ b/tests/validation/CL/FullyConnectedLayer.cpp @@ -1,5 +1,5 @@ /* - * Copyright (c) 2017 ARM Limited. + * Copyright (c) 2017-2018 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -124,15 +124,13 @@ DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip( TensorInfo(TensorShape(8U, 4U, 6U, 4U), 1, DataType::F32), TensorInfo(TensorShape(9U, 5U, 7U, 3U), 1, DataType::F32), // Invalid weights dimensions TensorInfo(TensorShape(9U, 5U, 7U, 3U), 1, DataType::F32), // Wrongly reshaped weights - TensorInfo(TensorShape(8U, 4U, 6U, 4U), 1, DataType::F32), }), framework::dataset::make("WeightsInfo",{ TensorInfo(TensorShape(315U, 271U), 1, DataType::F16), TensorInfo(TensorShape(315U, 271U), 1, DataType::QS8, 3), TensorInfo(TensorShape(192U, 192U), 1, DataType::F32), TensorInfo(TensorShape(192U, 192U), 1, DataType::F32), + TensorInfo(TensorShape(217U, 231U), 1, DataType::F32), TensorInfo(TensorShape(217U, 315U), 1, DataType::F32), - TensorInfo(TensorShape(217U, 315U), 1, DataType::F32), - TensorInfo(TensorShape(192U, 192U), 1, DataType::F32), })), framework::dataset::make("BiasInfo",{ TensorInfo(TensorShape(271U), 1, DataType::F32), TensorInfo(TensorShape(271U), 1, DataType::QS8, 2), @@ -140,7 +138,6 @@ DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip( TensorInfo(TensorShape(192U), 1, DataType::F32), TensorInfo(TensorShape(271U), 1, DataType::F32), TensorInfo(TensorShape(271U), 1, DataType::F32), - TensorInfo(TensorShape(192U), 1, DataType::F32), })), framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(271U, 3U), 1, DataType::F32), TensorInfo(TensorShape(271U, 3U), 1, DataType::QS8, 3), @@ -148,11 +145,10 @@ DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip( TensorInfo(TensorShape(192U, 4U), 1, DataType::F32), TensorInfo(TensorShape(271U, 3U), 1, DataType::F32), TensorInfo(TensorShape(271U, 3U), 1, DataType::F32), - TensorInfo(TensorShape(192U, 4U), 1, DataType::F32), })), - framework::dataset::make("TransposeWeights",{ true, true, true, false, true, true, true })), - framework::dataset::make("ReshapedWeights",{ false, false, false, false, false, false , false})), - framework::dataset::make("Expected", { false, false, true, true, false, false, true })), + framework::dataset::make("TransposeWeights",{ true, true, true, false, true, true })), + framework::dataset::make("ReshapedWeights",{ false, false, false, false, false, false})), + framework::dataset::make("Expected", { false, false, true, true, false, false })), input_info, weights_info, bias_info, output_info, transpose_weights, reshaped_weights, expected) { Status status = CLFullyConnectedLayer::validate(&input_info.clone()->set_is_resizable(false), |