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author | SiCong Li <sicong.li@arm.com> | 2017-07-27 17:58:52 +0100 |
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committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:35:24 +0000 |
commit | 1e5c1575fd7d86344b96988c86b82b66584460c8 (patch) | |
tree | ad263662d71ad70bdf01c25f88876f87ce38c919 /tests/datasets_new/SqueezeNetActivationLayerDataset.h | |
parent | 0c9a8fdb88bfff9f2a7c4d00cb88b6519dd02f1b (diff) | |
download | ComputeLibrary-1e5c1575fd7d86344b96988c86b82b66584460c8.tar.gz |
COMPMID-450 Add YOLOV2 benchmark tests
* Migrate BatchNormalizationLayer to new benchmark system.
* Add YOLOV2 benchmark tests.
* Fix F16 type issue in activation_layer cl kernel.
* Separate precommit tests from nightly tests.
Change-Id: I3f206e3f7469be6749d630ede8dcc9fb399de8b0
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/81582
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Diffstat (limited to 'tests/datasets_new/SqueezeNetActivationLayerDataset.h')
-rw-r--r-- | tests/datasets_new/SqueezeNetActivationLayerDataset.h | 77 |
1 files changed, 77 insertions, 0 deletions
diff --git a/tests/datasets_new/SqueezeNetActivationLayerDataset.h b/tests/datasets_new/SqueezeNetActivationLayerDataset.h new file mode 100644 index 0000000000..9cc9973f8f --- /dev/null +++ b/tests/datasets_new/SqueezeNetActivationLayerDataset.h @@ -0,0 +1,77 @@ +/* + * Copyright (c) 2017 ARM Limited. + * + * SPDX-License-Identifier: MIT + * + * Permission is hereby granted, free of charge, to any person obtaining a copy + * of this software and associated documentation files (the "Software"), to + * deal in the Software without restriction, including without limitation the + * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or + * sell copies of the Software, and to permit persons to whom the Software is + * furnished to do so, subject to the following conditions: + * + * The above copyright notice and this permission notice shall be included in all + * copies or substantial portions of the Software. + * + * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR + * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, + * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE + * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER + * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, + * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE + * SOFTWARE. + */ +#ifndef ARM_COMPUTE_TEST_SQUEEZENET_ACTIVATION_LAYER_DATASET +#define ARM_COMPUTE_TEST_SQUEEZENET_ACTIVATION_LAYER_DATASET + +#include "framework/datasets/Datasets.h" + +#include "tests/TypePrinter.h" + +#include "arm_compute/core/TensorShape.h" +#include "arm_compute/core/Types.h" + +namespace arm_compute +{ +namespace test +{ +namespace datasets +{ +class SqueezeNetActivationLayerDataset final : public + framework::dataset::CartesianProductDataset<framework::dataset::InitializerListDataset<TensorShape>, framework::dataset::SingletonDataset<ActivationLayerInfo>> +{ +public: + SqueezeNetActivationLayerDataset() + : CartesianProductDataset + { + framework::dataset::make("Shape", { // relu_conv1 + TensorShape(111U, 111U, 64U), + // fire2/relu_squeeze1x1, fire3/relu_squeeze1x1 + TensorShape(55U, 55U, 16U), + // fire2/relu_expand1x1, fire2/relu_expand3x3, fire3/relu_expand1x1, fire3/relu_expand3x3 + TensorShape(55U, 55U, 64U), + // fire4/relu_squeeze1x1, fire5/relu_squeeze1x1 + TensorShape(27U, 27U, 32U), + // fire4/relu_expand1x1, fire4/relu_expand3x3, fire5/relu_expand1x1, fire5/relu_expand3x3 + TensorShape(27U, 27U, 128U), + // fire6/relu_squeeze1x1, fire7/relu_squeeze1x1 + TensorShape(13U, 13U, 48U), + // fire6/relu_expand1x1, fire6/relu_expand3x3, fire7/relu_expand1x1, fire7/relu_expand3x3 + TensorShape(13U, 13U, 192U), + // fire8/relu_squeeze1x1, fire9/relu_squeeze1x1 + TensorShape(13U, 13U, 64U), + // fire8/relu_expand1x1, fire8/relu_expand3x3, fire9/relu_expand1x1, fire9/relu_expand3x3 + TensorShape(13U, 13U, 256U), + // relu_conv10 + TensorShape(13U, 13U, 1000U) }), + framework::dataset::make("Info", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)) + } + { + } + SqueezeNetActivationLayerDataset(SqueezeNetActivationLayerDataset &&) = default; + ~SqueezeNetActivationLayerDataset() = default; +}; +} // namespace datasets +} // namespace test +} // namespace arm_compute +#endif /* ARM_COMPUTE_TEST_SQUEEZENET_ACTIVATION_LAYER_DATASET */ |