| /* |
| * 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 */ |