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author | zhenglin <zhenglin.li@arm.com> | 2017-12-12 15:56:09 +0800 |
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committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:42:33 +0000 |
commit | 0fb6cf5b6f41a3734ab439f970ba94b96be06c5d (patch) | |
tree | 8d91c456f9134516554adbb4ce2431416b7ec5d5 /tests/datasets/system_tests | |
parent | d598bfd26935fb6cefdf904182760e2acd1cf647 (diff) | |
download | ComputeLibrary-0fb6cf5b6f41a3734ab439f970ba94b96be06c5d.tar.gz |
APPBROWSER-340: Implement NormalizePlanarYUV operator
Change-Id: I943fe27ed83e6c499d8f9919c7083f39f6f25acc
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/113211
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: Stephen Li <stephen.li@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Diffstat (limited to 'tests/datasets/system_tests')
-rw-r--r-- | tests/datasets/system_tests/googlenet/inceptionv4/GoogLeNetInceptionV4NormalizePlanarYUVLayerDataset.h | 94 |
1 files changed, 94 insertions, 0 deletions
diff --git a/tests/datasets/system_tests/googlenet/inceptionv4/GoogLeNetInceptionV4NormalizePlanarYUVLayerDataset.h b/tests/datasets/system_tests/googlenet/inceptionv4/GoogLeNetInceptionV4NormalizePlanarYUVLayerDataset.h new file mode 100644 index 0000000000..e0da484b7d --- /dev/null +++ b/tests/datasets/system_tests/googlenet/inceptionv4/GoogLeNetInceptionV4NormalizePlanarYUVLayerDataset.h @@ -0,0 +1,94 @@ +/* + * 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_GOOGLENETINCEPTIONV4_NORMALIZEPLANARYUV_LAYER_DATASET +#define ARM_COMPUTE_TEST_GOOGLENETINCEPTIONV4_NORMALIZEPLANARYUV_LAYER_DATASET + +#include "tests/datasets/NormalizePlanarYUVLayerDataset.h" + +#include "utils/TypePrinter.h" + +#include "arm_compute/core/TensorShape.h" +#include "arm_compute/core/Types.h" + +namespace arm_compute +{ +namespace test +{ +namespace datasets +{ +class GoogLeNetInceptionV4NormalizePlanarYUVLayerDataset final : public NormalizePlanarYUVLayerDataset +{ +public: + GoogLeNetInceptionV4NormalizePlanarYUVLayerDataset() + { + // conv1_3x3_s2_bn + add_config(TensorShape(149U, 149U, 32U), TensorShape(32U)); + // conv2_3x3_s1_bn + add_config(TensorShape(147U, 147U, 32U), TensorShape(32U)); + // conv3_3x3_s1_bn + add_config(TensorShape(147U, 147U, 64U), TensorShape(64U)); + // inception_stem1_3x3_s2_bn + add_config(TensorShape(73U, 73U, 96U), TensorShape(96U)); + // inception_stem2_3x3_reduce_bn, inception_stem2_1x7_reduce_bn, inception_stem2_1x7_bn, inception_stem2_7x1_bn + add_config(TensorShape(73U, 73U, 64U), TensorShape(64U)); + // inception_stem2_3x3_bn, inception_stem2_3x3_2_bn + add_config(TensorShape(71U, 71U, 96U), TensorShape(96U)); + // inception_stem3_3x3_s2_bn, reduction_a_3x3_2_reduce_bn + add_config(TensorShape(35U, 35U, 192U), TensorShape(192U)); + // inception_a1_1x1_2_bn, inception_a1_3x3_bn, inception_a1_3x3_2_bn, inception_a1_3x3_3_bn, inception_a1_1x1_bn, inception_a2_1x1_2_bn, inception_a2_3x3_bn, inception_a2_3x3_2_bn, inception_a2_3x3_3_bn, inception_a2_1x1_bn, inception_a3_1x1_2_bn, inception_a3_3x3_bn, inception_a3_3x3_2_bn, inception_a3_3x3_3_bn, inception_a3_1x1_bn, inception_a4_1x1_2_bn, inception_a4_3x3_bn, inception_a4_3x3_2_bn, inception_a4_3x3_3_bn, inception_a4_1x1_bn + add_config(TensorShape(35U, 35U, 96U), TensorShape(96U)); + // inception_a1_3x3_reduce_bn, inception_a1_3x3_2_reduce_bn, inception_a2_3x3_reduce_bn, inception_a2_3x3_2_reduce_bn, inception_a3_3x3_reduce_bn, inception_a3_3x3_2_reduce_bn, inception_a4_3x3_reduce_bn, inception_a4_3x3_2_reduce_bn + add_config(TensorShape(35U, 35U, 64U), TensorShape(64U)); + // reduction_a_3x3_bn, inception_b1_1x1_2_bn, inception_b2_1x1_2_bn, inception_b3_1x1_2_bn, inception_b4_1x1_2_bn, inception_b5_1x1_2_bn, inception_b6_1x1_2_bn, inception_b7_1x1_2_bn + add_config(TensorShape(17U, 17U, 384U), TensorShape(384U)); + // reduction_a_3x3_2_bn + add_config(TensorShape(35U, 35U, 224U), TensorShape(224U)); + // reduction_a_3x3_3_bn, inception_b1_7x1_bn, inception_b1_1x7_3_bn, inception_b2_7x1_bn, inception_b2_1x7_3_bn, inception_b3_7x1_bn, inception_b3_1x7_3_bn, inception_b4_7x1_bn, inception_b4_1x7_3_bn, inception_b5_7x1_bn, inception_b5_1x7_3_bn, inception_b6_7x1_bn, inception_b6_1x7_3_bn, inception_b7_7x1_bn, inception_b7_1x7_3_bn, reduction_b_1x7_reduce_bn, reduction_b_1x7_bn + add_config(TensorShape(17U, 17U, 256U), TensorShape(256U)); + // inception_b1_1x7_reduce_bn, inception_b1_7x1_2_reduce_bn, inception_b1_7x1_2_bn, inception_b2_1x7_reduce_bn, inception_b2_7x1_2_reduce_bn, inception_b2_7x1_2_bn, inception_b3_1x7_reduce_bn, inception_b3_7x1_2_reduce_bn, inception_b3_7x1_2_bn, inception_b4_1x7_reduce_bn, inception_b4_7x1_2_reduce_bn, inception_b4_7x1_2_bn, inception_b5_1x7_reduce_bn, inception_b5_7x1_2_reduce_bn, inception_b5_7x1_2_bn, inception_b6_1x7_reduce_bn, inception_b6_7x1_2_reduce_bn, inception_b6_7x1_2_bn, inception_b7_1x7_reduce_bn, inception_b7_7x1_2_reduce_bn, inception_b7_7x1_2_bn, reduction_b_3x3_reduce_bn + add_config(TensorShape(17U, 17U, 192U), TensorShape(192U)); + // inception_b1_1x7_bn, inception_b1_1x7_2_bn, inception_b1_7x1_3_bn, inception_b2_1x7_bn, inception_b2_1x7_2_bn, inception_b2_7x1_3_bn, inception_b3_1x7_bn, inception_b3_1x7_2_bn, inception_b3_7x1_3_bn, inception_b4_1x7_bn, inception_b4_1x7_2_bn, inception_b4_7x1_3_bn, inception_b5_1x7_bn, inception_b5_1x7_2_bn, inception_b5_7x1_3_bn, inception_b6_1x7_bn, inception_b6_1x7_2_bn, inception_b6_7x1_3_bn, inception_b7_1x7_bn, inception_b7_1x7_2_bn, inception_b7_7x1_3_bn + add_config(TensorShape(17U, 17U, 224U), TensorShape(224U)); + // inception_b1_1x1_bn, inception_b2_1x1_bn, inception_b3_1x1_bn, inception_b4_1x1_bn, inception_b5_1x1_bn, inception_b6_1x1_bn, inception_b7_1x1_bn + add_config(TensorShape(17U, 17U, 128U), TensorShape(128U)); + // reduction_b_3x3_bn + add_config(TensorShape(8U, 8U, 192U), TensorShape(192U)); + // reduction_b_7x1_bn + add_config(TensorShape(17U, 17U, 320U), TensorShape(320U)); + // reduction_b_3x3_2_bn + add_config(TensorShape(8U, 8U, 320U), TensorShape(320U)); + // inception_c1_1x1_2_bn, inception_c1_1x3_bn, inception_c1_3x1_bn, inception_c1_1x3_3_bn, inception_c1_3x1_3_bn, inception_c1_1x1_bn, inception_c2_1x1_2_bn, inception_c2_1x3_bn, inception_c2_3x1_bn, inception_c2_1x3_3_bn, inception_c2_3x1_3_bn, inception_c2_1x1_bn, inception_c3_1x1_2_bn, inception_c3_1x3_bn, inception_c3_3x1_bn, inception_c3_1x3_3_bn, inception_c3_3x1_3_bn, inception_c3_1x1_bn + add_config(TensorShape(8U, 8U, 256U), TensorShape(256U)); + // inception_c1_1x1_3_bn, inception_c1_1x1_4_bn, inception_c2_1x1_3_bn, inception_c2_1x1_4_bn, inception_c3_1x1_3_bn, inception_c3_1x1_4_bn + add_config(TensorShape(8U, 8U, 384U), TensorShape(384U)); + // inception_c1_3x1_2_bn, inception_c2_3x1_2_bn, inception_c3_3x1_2_bn + add_config(TensorShape(8U, 8U, 448U), TensorShape(448U)); + // inception_c1_1x3_2_bn, inception_c2_1x3_2_bn, inception_c3_1x3_2_bn + add_config(TensorShape(8U, 8U, 512U), TensorShape(512U)); + } +}; +} // namespace datasets +} // namespace test +} // namespace arm_compute +#endif /* ARM_COMPUTE_TEST_GOOGLENETINCEPTIONV4_NORMALIZEPLANARYUV_LAYER_DATASET */ |