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review.mlplatform.org / ml / ComputeLibrary / 06be6f8d2a316a307fa623150f8adf8f9c3416c5 / . / examples / graph_inception_v4.cpp
blob: 3ea2b2fd1c220b9a17a148035792b9cc5e04ecc6 [file] [log] [blame]
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]1/*
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]2 * Copyright (c) 2018-2019 ARM Limited.
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]3 *
4 * SPDX-License-Identifier: MIT
5 *
6 * Permission is hereby granted, free of charge, to any person obtaining a copy
7 * of this software and associated documentation files (the "Software"), to
8 * deal in the Software without restriction, including without limitation the
9 * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
10 * sell copies of the Software, and to permit persons to whom the Software is
11 * furnished to do so, subject to the following conditions:
12 *
13 * The above copyright notice and this permission notice shall be included in all
14 * copies or substantial portions of the Software.
15 *
16 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
17 * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
18 * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
19 * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
20 * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
21 * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
22 * SOFTWARE.
23 */
Georgios Pinitasd9eb2752018-04-03 13:44:29 +0100[diff] [blame]24#include "arm_compute/graph.h"
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]25#include "support/ToolchainSupport.h"
Georgios Pinitas12be7ab2018-07-03 12:06:23 +0100[diff] [blame]26#include "utils/CommonGraphOptions.h"
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]27#include "utils/GraphUtils.h"
28#include "utils/Utils.h"
29
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]30using namespace arm_compute::utils;
Georgios Pinitasd9eb2752018-04-03 13:44:29 +0100[diff] [blame]31using namespace arm_compute::graph::frontend;
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]32using namespace arm_compute::graph_utils;
33
Georgios Pinitas108ab0b2018-09-14 18:35:11 +0100[diff] [blame]34/** Example demonstrating how to implement InceptionV4's network using the Compute Library's graph API */
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]35class InceptionV4Example final : public Example
36{
37public:
Georgios Pinitas12be7ab2018-07-03 12:06:23 +0100[diff] [blame]38 InceptionV4Example()
39 : cmd_parser(), common_opts(cmd_parser), common_params(), graph(0, "InceptionV4")
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]40 {
Georgios Pinitas12be7ab2018-07-03 12:06:23 +0100[diff] [blame]41 }
42 bool do_setup(int argc, char **argv) override
43 {
44 // Parse arguments
45 cmd_parser.parse(argc, argv);
46
47 // Consume common parameters
48 common_params = consume_common_graph_parameters(common_opts);
49
50 // Return when help menu is requested
51 if(common_params.help)
52 {
53 cmd_parser.print_help(argv[0]);
54 return false;
55 }
56
57 // Checks
Anthony Barbiercdd68c02018-08-23 15:03:41 +0100[diff] [blame]58 ARM_COMPUTE_EXIT_ON_MSG(arm_compute::is_data_type_quantized_asymmetric(common_params.data_type), "QASYMM8 not supported for this graph");
Georgios Pinitas12be7ab2018-07-03 12:06:23 +0100[diff] [blame]59
60 // Print parameter values
61 std::cout << common_params << std::endl;
62
63 // Get trainable parameters data path
64 std::string data_path = common_params.data_path;
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]65
66 // Create a preprocessor object
67 std::unique_ptr<IPreprocessor> preprocessor = arm_compute::support::cpp14::make_unique<TFPreproccessor>();
68
Georgios Pinitase2220552018-07-20 13:23:44 +0100[diff] [blame]69 // Create input descriptor
70 const TensorShape tensor_shape = permute_shape(TensorShape(299U, 299U, 3U, 1U), DataLayout::NCHW, common_params.data_layout);
71 TensorDescriptor input_descriptor = TensorDescriptor(tensor_shape, common_params.data_type).set_layout(common_params.data_layout);
72
73 // Set weights trained layout
74 const DataLayout weights_layout = DataLayout::NCHW;
75
Georgios Pinitas12be7ab2018-07-03 12:06:23 +0100[diff] [blame]76 graph << common_params.target
77 << common_params.fast_math_hint
Georgios Pinitase2220552018-07-20 13:23:44 +0100[diff] [blame]78 << InputLayer(input_descriptor, get_input_accessor(common_params, std::move(preprocessor), false))
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]79 // Conv2d_1a_3x3
80 << ConvolutionLayer(3U, 3U, 32U,
Georgios Pinitase2220552018-07-20 13:23:44 +0100[diff] [blame]81 get_weights_accessor(data_path, "/cnn_data/inceptionv4_model/Conv2d_1a_3x3_weights.npy", weights_layout),
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]82 std::unique_ptr<arm_compute::graph::ITensorAccessor>(nullptr), PadStrideInfo(2, 2, 0, 0))
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]83 .set_name("Conv2d_1a_3x3/Conv2D")
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]84 << BatchNormalizationLayer(get_weights_accessor(data_path, "/cnn_data/inceptionv4_model/Conv2d_1a_3x3_BatchNorm_moving_mean.npy"),
85 get_weights_accessor(data_path, "/cnn_data/inceptionv4_model/Conv2d_1a_3x3_BatchNorm_moving_variance.npy"),
86 get_random_accessor(1.f, 1.f),
87 get_weights_accessor(data_path, "/cnn_data/inceptionv4_model/Conv2d_1a_3x3_BatchNorm_beta.npy"),
88 0.001f)
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]89 .set_name("Conv2d_1a_3x3/BatchNorm")
90 << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("Conv2d_1a_3x3/Relu")
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]91 // Conv2d_2a_3x3
92 << ConvolutionLayer(3U, 3U, 32U,
Georgios Pinitase2220552018-07-20 13:23:44 +0100[diff] [blame]93 get_weights_accessor(data_path, "/cnn_data/inceptionv4_model/Conv2d_2a_3x3_weights.npy", weights_layout),
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]94 std::unique_ptr<arm_compute::graph::ITensorAccessor>(nullptr), PadStrideInfo(1, 1, 0, 0))
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]95 .set_name("Conv2d_2a_3x3/Conv2D")
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]96 << BatchNormalizationLayer(get_weights_accessor(data_path, "/cnn_data/inceptionv4_model/Conv2d_2a_3x3_BatchNorm_moving_mean.npy"),
97 get_weights_accessor(data_path, "/cnn_data/inceptionv4_model/Conv2d_2a_3x3_BatchNorm_moving_variance.npy"),
98 get_random_accessor(1.f, 1.f),
99 get_weights_accessor(data_path, "/cnn_data/inceptionv4_model/Conv2d_2a_3x3_BatchNorm_beta.npy"),
100 0.001f)
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]101 .set_name("Conv2d_2a_3x3/BatchNorm")
102 << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("Conv2d_2a_3x3/Relu")
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]103 // Conv2d_2b_3x3
104 << ConvolutionLayer(3U, 3U, 64U,
Georgios Pinitase2220552018-07-20 13:23:44 +0100[diff] [blame]105 get_weights_accessor(data_path, "/cnn_data/inceptionv4_model/Conv2d_2b_3x3_weights.npy", weights_layout),
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]106 std::unique_ptr<arm_compute::graph::ITensorAccessor>(nullptr), PadStrideInfo(1, 1, 1, 1))
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]107 .set_name("Conv2d_2b_3x3/Conv2D")
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]108 << BatchNormalizationLayer(get_weights_accessor(data_path, "/cnn_data/inceptionv4_model/Conv2d_2b_3x3_BatchNorm_moving_mean.npy"),
109 get_weights_accessor(data_path, "/cnn_data/inceptionv4_model/Conv2d_2b_3x3_BatchNorm_moving_variance.npy"),
110 get_random_accessor(1.f, 1.f),
111 get_weights_accessor(data_path, "/cnn_data/inceptionv4_model/Conv2d_2b_3x3_BatchNorm_beta.npy"),
112 0.001f)
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]113 .set_name("Conv2d_2b_3x3/BatchNorm")
114 << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("Conv2d_2b_3x3/Relu");
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]115
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]116 graph << get_mixed_3a(data_path, weights_layout).set_name("Mixed_3a/concat");
117 graph << get_mixed_4a(data_path, weights_layout).set_name("Mixed_4a/concat");
118 graph << get_mixed_5a(data_path, weights_layout).set_name("Mixed_5a/concat");
Georgios Pinitas41c482d2018-04-17 13:23:26 +0100[diff] [blame]119 // 4 inception A blocks
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]120 graph << get_inceptionA_block(data_path, weights_layout, "Mixed_5b").set_name("Mixed_5b/concat");
121 graph << get_inceptionA_block(data_path, weights_layout, "Mixed_5c").set_name("Mixed_5c/concat");
122 graph << get_inceptionA_block(data_path, weights_layout, "Mixed_5d").set_name("Mixed_5d/concat");
123 graph << get_inceptionA_block(data_path, weights_layout, "Mixed_5e").set_name("Mixed_5e/concat");
Georgios Pinitas41c482d2018-04-17 13:23:26 +0100[diff] [blame]124 // reduction A block
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]125 graph << get_reductionA_block(data_path, weights_layout).set_name("Mixed_6a/concat");
Georgios Pinitas41c482d2018-04-17 13:23:26 +0100[diff] [blame]126 // 7 inception B blocks
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]127 graph << get_inceptionB_block(data_path, weights_layout, "Mixed_6b").set_name("Mixed_6b/concat");
128 graph << get_inceptionB_block(data_path, weights_layout, "Mixed_6c").set_name("Mixed_6c/concat");
129 graph << get_inceptionB_block(data_path, weights_layout, "Mixed_6d").set_name("Mixed_6d/concat");
130 graph << get_inceptionB_block(data_path, weights_layout, "Mixed_6e").set_name("Mixed_6e/concat");
131 graph << get_inceptionB_block(data_path, weights_layout, "Mixed_6f").set_name("Mixed_6f/concat");
132 graph << get_inceptionB_block(data_path, weights_layout, "Mixed_6g").set_name("Mixed_6g/concat");
133 graph << get_inceptionB_block(data_path, weights_layout, "Mixed_6h").set_name("Mixed_6h/concat");
Georgios Pinitas41c482d2018-04-17 13:23:26 +0100[diff] [blame]134 // reduction B block
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]135 graph << get_reductionB_block(data_path, weights_layout).set_name("Mixed_7a/concat");
Georgios Pinitas41c482d2018-04-17 13:23:26 +0100[diff] [blame]136 // 3 inception C blocks
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]137 graph << get_inceptionC_block(data_path, weights_layout, "Mixed_7b").set_name("Mixed_7b/concat");
138 graph << get_inceptionC_block(data_path, weights_layout, "Mixed_7c").set_name("Mixed_7c/concat");
139 graph << get_inceptionC_block(data_path, weights_layout, "Mixed_7d").set_name("Mixed_7d/concat");
140 graph << PoolingLayer(PoolingLayerInfo(PoolingType::AVG)).set_name("Logits/AvgPool_1a/AvgPool")
141 << FlattenLayer().set_name("Logits/Flatten")
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]142 << FullyConnectedLayer(
143 1001U,
Georgios Pinitase2220552018-07-20 13:23:44 +0100[diff] [blame]144 get_weights_accessor(data_path, "/cnn_data/inceptionv4_model/Logits_Logits_weights.npy", weights_layout),
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]145 get_weights_accessor(data_path, "/cnn_data/inceptionv4_model/Logits_Logits_biases.npy"))
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]146 .set_name("Logits/MatMul")
147 << SoftmaxLayer().set_name("Logits/Predictions")
Georgios Pinitas12be7ab2018-07-03 12:06:23 +0100[diff] [blame]148 << OutputLayer(get_output_accessor(common_params, 5));
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]149
Georgios Pinitasd8734b52017-12-22 15:27:52 +0000[diff] [blame]150 // Finalize graph
Georgios Pinitas9a8c6722018-03-21 17:52:35 +0000[diff] [blame]151 GraphConfig config;
Georgios Pinitas12be7ab2018-07-03 12:06:23 +0100[diff] [blame]152 config.num_threads = common_params.threads;
153 config.use_tuner = common_params.enable_tuner;
Vidhya Sudhan Loganathan050471e2019-04-25 09:27:24 +0100[diff] [blame]154 config.tuner_mode = common_params.tuner_mode;
Anthony Barbier7b607dc2018-07-13 15:55:24 +0100[diff] [blame]155 config.tuner_file = common_params.tuner_file;
156
Georgios Pinitas12be7ab2018-07-03 12:06:23 +0100[diff] [blame]157 graph.finalize(common_params.target, config);
158
159 return true;
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]160 }
161
162 void do_run() override
163 {
164 graph.run();
165 }
166
167private:
Georgios Pinitas12be7ab2018-07-03 12:06:23 +0100[diff] [blame]168 CommandLineParser cmd_parser;
169 CommonGraphOptions common_opts;
170 CommonGraphParams common_params;
171 Stream graph;
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]172
173private:
Georgios Pinitas427bbbf2018-08-28 13:32:02 +0100[diff] [blame]174 ConcatLayer get_mixed_3a(const std::string &data_path, DataLayout weights_layout)
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]175 {
176 std::string total_path = "/cnn_data/inceptionv4_model/Mixed_3a_";
177
Georgios Pinitasd8734b52017-12-22 15:27:52 +0000[diff] [blame]178 SubStream i_a(graph);
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]179 i_a << PoolingLayer(PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL), true)).set_name("Mixed_3a/Branch_0/MaxPool_0a_3x3/MaxPool");
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]180
Georgios Pinitasd8734b52017-12-22 15:27:52 +0000[diff] [blame]181 SubStream i_b(graph);
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]182 i_b << ConvolutionLayer(3U, 3U, 96U,
Georgios Pinitase2220552018-07-20 13:23:44 +0100[diff] [blame]183 get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0a_3x3_weights.npy", weights_layout),
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]184 std::unique_ptr<arm_compute::graph::ITensorAccessor>(nullptr), PadStrideInfo(2, 2, 0, 0))
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]185 .set_name("Mixed_3a/Branch_1/Conv2d_0a_3x3/Conv2D")
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]186 << BatchNormalizationLayer(get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0a_3x3_BatchNorm_moving_mean.npy"),
187 get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0a_3x3_BatchNorm_moving_variance.npy"),
188 get_random_accessor(1.f, 1.f),
189 get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0a_3x3_BatchNorm_beta.npy"),
190 0.001f)
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]191 .set_name("Mixed_3a/Branch_1/Conv2d_0a_3x3/BatchNorm")
192 << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("Mixed_3a/Branch_1/Conv2d_0a_3x3/Relu");
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]193
Georgios Pinitas427bbbf2018-08-28 13:32:02 +0100[diff] [blame]194 return ConcatLayer(std::move(i_a), std::move(i_b));
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]195 }
196
Georgios Pinitas427bbbf2018-08-28 13:32:02 +0100[diff] [blame]197 ConcatLayer get_mixed_4a(const std::string &data_path, DataLayout weights_layout)
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]198 {
199 std::string total_path = "/cnn_data/inceptionv4_model/Mixed_4a_";
200
Georgios Pinitasd8734b52017-12-22 15:27:52 +0000[diff] [blame]201 SubStream i_a(graph);
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]202 i_a << ConvolutionLayer(1U, 1U, 64U,
Georgios Pinitase2220552018-07-20 13:23:44 +0100[diff] [blame]203 get_weights_accessor(data_path, total_path + "Branch_0_Conv2d_0a_1x1_weights.npy", weights_layout),
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]204 std::unique_ptr<arm_compute::graph::ITensorAccessor>(nullptr), PadStrideInfo(1, 1, 0, 0))
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]205 .set_name("Mixed_4a/Branch_0/Conv2d_0a_1x1/Conv2D")
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]206 << BatchNormalizationLayer(get_weights_accessor(data_path, total_path + "Branch_0_Conv2d_0a_1x1_BatchNorm_moving_mean.npy"),
207 get_weights_accessor(data_path, total_path + "Branch_0_Conv2d_0a_1x1_BatchNorm_moving_variance.npy"),
208 get_random_accessor(1.f, 1.f),
209 get_weights_accessor(data_path, total_path + "Branch_0_Conv2d_0a_1x1_BatchNorm_beta.npy"),
210 0.001f)
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]211 .set_name("Mixed_4a/Branch_0/Conv2d_0a_1x1/BatchNorm")
212 << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("Mixed_4a/Branch_0/Conv2d_0a_1x1/Relu")
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]213 << ConvolutionLayer(3U, 3U, 96U,
Georgios Pinitase2220552018-07-20 13:23:44 +0100[diff] [blame]214 get_weights_accessor(data_path, total_path + "Branch_0_Conv2d_1a_3x3_weights.npy", weights_layout),
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]215 std::unique_ptr<arm_compute::graph::ITensorAccessor>(nullptr), PadStrideInfo(1, 1, 0, 0))
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]216 .set_name("Mixed_4a/Branch_0/Conv2d_1a_3x3/Conv2D")
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]217 << BatchNormalizationLayer(get_weights_accessor(data_path, total_path + "Branch_0_Conv2d_1a_3x3_BatchNorm_moving_mean.npy"),
218 get_weights_accessor(data_path, total_path + "Branch_0_Conv2d_1a_3x3_BatchNorm_moving_variance.npy"),
219 get_random_accessor(1.f, 1.f),
220 get_weights_accessor(data_path, total_path + "Branch_0_Conv2d_1a_3x3_BatchNorm_beta.npy"),
221 0.001f)
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]222 .set_name("Mixed_4a/Branch_0/Conv2d_1a_3x3/BatchNorm")
223 << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("Mixed_4a/Branch_0/Conv2d_1a_3x3/Relu");
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]224
Georgios Pinitasd8734b52017-12-22 15:27:52 +0000[diff] [blame]225 SubStream i_b(graph);
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]226 i_b << ConvolutionLayer(1U, 1U, 64U,
Georgios Pinitase2220552018-07-20 13:23:44 +0100[diff] [blame]227 get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0a_1x1_weights.npy", weights_layout),
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]228 std::unique_ptr<arm_compute::graph::ITensorAccessor>(nullptr), PadStrideInfo(1, 1, 0, 0))
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]229 .set_name("Mixed_4a/Branch_1/Conv2d_0a_1x1/Conv2D")
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]230 << BatchNormalizationLayer(get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0a_1x1_BatchNorm_moving_mean.npy"),
231 get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0a_1x1_BatchNorm_moving_variance.npy"),
232 get_random_accessor(1.f, 1.f),
233 get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0a_1x1_BatchNorm_beta.npy"),
234 0.001f)
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]235 .set_name("Mixed_4a/Branch_1/Conv2d_0a_1x1/BatchNorm")
236 << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("Mixed_4a/Branch_1/Conv2d_0a_1x1/Relu")
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]237 << ConvolutionLayer(7U, 1U, 64U,
Georgios Pinitase2220552018-07-20 13:23:44 +0100[diff] [blame]238 get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0b_1x7_weights.npy", weights_layout),
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]239 std::unique_ptr<arm_compute::graph::ITensorAccessor>(nullptr), PadStrideInfo(1, 1, 3, 0))
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]240 .set_name("Mixed_4a/Branch_1/Conv2d_0b_1x7/Conv2D")
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]241 << BatchNormalizationLayer(get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0b_1x7_BatchNorm_moving_mean.npy"),
242 get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0b_1x7_BatchNorm_moving_variance.npy"),
243 get_random_accessor(1.f, 1.f),
244 get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0b_1x7_BatchNorm_beta.npy"),
245 0.001f)
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]246 .set_name("Mixed_4a/Branch_1/Conv2d_0b_1x7/BatchNorm")
247 << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("Mixed_4a/Branch_1/Conv2d_0b_1x7/Relu")
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]248 << ConvolutionLayer(1U, 7U, 64U,
Georgios Pinitase2220552018-07-20 13:23:44 +0100[diff] [blame]249 get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0c_7x1_weights.npy", weights_layout),
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]250 std::unique_ptr<arm_compute::graph::ITensorAccessor>(nullptr), PadStrideInfo(1, 1, 0, 3))
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]251 .set_name("Mixed_4a/Branch_1/Conv2d_0c_7x1/Conv2D")
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]252 << BatchNormalizationLayer(get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0c_7x1_BatchNorm_moving_mean.npy"),
253 get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0c_7x1_BatchNorm_moving_variance.npy"),
254 get_random_accessor(1.f, 1.f),
255 get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0c_7x1_BatchNorm_beta.npy"),
256 0.001f)
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]257 .set_name("Mixed_4a/Branch_1/Conv2d_0c_7x1/BatchNorm")
258 << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("Mixed_4a/Branch_1/Conv2d_0c_7x1/Relu")
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]259 << ConvolutionLayer(3U, 3U, 96U,
Georgios Pinitase2220552018-07-20 13:23:44 +0100[diff] [blame]260 get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_1a_3x3_weights.npy", weights_layout),
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]261 std::unique_ptr<arm_compute::graph::ITensorAccessor>(nullptr), PadStrideInfo(1, 1, 0, 0))
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]262 .set_name("Mixed_4a/Branch_1/Conv2d_1a_3x3/Conv2D")
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]263 << BatchNormalizationLayer(get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_1a_3x3_BatchNorm_moving_mean.npy"),
264 get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_1a_3x3_BatchNorm_moving_variance.npy"),
265 get_random_accessor(1.f, 1.f),
266 get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_1a_3x3_BatchNorm_beta.npy"),
267 0.001f)
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]268 .set_name("Mixed_4a/Branch_1/Conv2d_1a_3x3/BatchNorm")
269 << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("Mixed_4a/Branch_1/Conv2d_1a_3x3/Relu");
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]270
Georgios Pinitas427bbbf2018-08-28 13:32:02 +0100[diff] [blame]271 return ConcatLayer(std::move(i_a), std::move(i_b));
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]272 }
273
Georgios Pinitas427bbbf2018-08-28 13:32:02 +0100[diff] [blame]274 ConcatLayer get_mixed_5a(const std::string &data_path, DataLayout weights_layout)
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]275 {
276 std::string total_path = "/cnn_data/inceptionv4_model/Mixed_5a_";
277
Georgios Pinitasd8734b52017-12-22 15:27:52 +0000[diff] [blame]278 SubStream i_a(graph);
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]279 i_a << ConvolutionLayer(3U, 3U, 192U,
Georgios Pinitase2220552018-07-20 13:23:44 +0100[diff] [blame]280 get_weights_accessor(data_path, total_path + "Branch_0_Conv2d_1a_3x3_weights.npy", weights_layout),
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]281 std::unique_ptr<arm_compute::graph::ITensorAccessor>(nullptr), PadStrideInfo(2, 2, 0, 0))
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]282 .set_name("Mixed_5a/Branch_0/Conv2d_1a_3x3/Conv2D")
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]283 << BatchNormalizationLayer(get_weights_accessor(data_path, total_path + "Branch_0_Conv2d_1a_3x3_BatchNorm_moving_mean.npy"),
284 get_weights_accessor(data_path, total_path + "Branch_0_Conv2d_1a_3x3_BatchNorm_moving_variance.npy"),
285 get_random_accessor(1.f, 1.f),
286 get_weights_accessor(data_path, total_path + "Branch_0_Conv2d_1a_3x3_BatchNorm_beta.npy"),
287 0.001f)
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]288 .set_name("Mixed_5a/Branch_0/Conv2d_1a_3x3/BatchNorm")
289 << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("Mixed_5a/Branch_0/Conv2d_1a_3x3/Relu");
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]290
Georgios Pinitasd8734b52017-12-22 15:27:52 +0000[diff] [blame]291 SubStream i_b(graph);
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]292 i_b << PoolingLayer(PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL), true)).set_name("Mixed_5a/Branch_1/MaxPool_1a_3x3/MaxPool");
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]293
Georgios Pinitas427bbbf2018-08-28 13:32:02 +0100[diff] [blame]294 return ConcatLayer(std::move(i_a), std::move(i_b));
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]295 }
296
Georgios Pinitas427bbbf2018-08-28 13:32:02 +0100[diff] [blame]297 ConcatLayer get_inceptionA_block(const std::string &data_path, DataLayout weights_layout, std::string &&param_path)
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]298 {
299 std::string total_path = "/cnn_data/inceptionv4_model/" + param_path + "_";
300
Georgios Pinitasd8734b52017-12-22 15:27:52 +0000[diff] [blame]301 SubStream i_a(graph);
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]302 i_a << ConvolutionLayer(1U, 1U, 96U,
Georgios Pinitase2220552018-07-20 13:23:44 +0100[diff] [blame]303 get_weights_accessor(data_path, total_path + "Branch_0_Conv2d_0a_1x1_weights.npy", weights_layout),
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]304 std::unique_ptr<arm_compute::graph::ITensorAccessor>(nullptr), PadStrideInfo(1, 1, 0, 0))
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]305 .set_name(param_path + "/Branch_0/Conv2d_0a_1x1/Conv2D")
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]306 << BatchNormalizationLayer(get_weights_accessor(data_path, total_path + "Branch_0_Conv2d_0a_1x1_BatchNorm_moving_mean.npy"),
307 get_weights_accessor(data_path, total_path + "Branch_0_Conv2d_0a_1x1_BatchNorm_moving_variance.npy"),
308 get_random_accessor(1.f, 1.f),
309 get_weights_accessor(data_path, total_path + "Branch_0_Conv2d_0a_1x1_BatchNorm_beta.npy"),
310 0.001f)
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]311 .set_name(param_path + "/Branch_0/Conv2d_0a_1x1/BatchNorm")
312 << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name(param_path + "/Branch_0/Conv2d_0a_1x1/Relu");
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]313
Georgios Pinitasd8734b52017-12-22 15:27:52 +0000[diff] [blame]314 SubStream i_b(graph);
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]315 i_b << ConvolutionLayer(1U, 1U, 64U,
Georgios Pinitase2220552018-07-20 13:23:44 +0100[diff] [blame]316 get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0a_1x1_weights.npy", weights_layout),
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]317 std::unique_ptr<arm_compute::graph::ITensorAccessor>(nullptr), PadStrideInfo(1, 1, 0, 0))
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]318 .set_name(param_path + "/Branch_1/Conv2d_0a_1x1/Conv2D")
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]319 << BatchNormalizationLayer(get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0a_1x1_BatchNorm_moving_mean.npy"),
320 get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0a_1x1_BatchNorm_moving_variance.npy"),
321 get_random_accessor(1.f, 1.f),
322 get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0a_1x1_BatchNorm_beta.npy"),
323 0.001f)
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]324 .set_name(param_path + "/Branch_1/Conv2d_0a_1x1/BatchNorm")
325 << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name(param_path + "/Branch_1/Conv2d_0a_1x1/Relu")
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]326 << ConvolutionLayer(3U, 3U, 96U,
Georgios Pinitase2220552018-07-20 13:23:44 +0100[diff] [blame]327 get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0b_3x3_weights.npy", weights_layout),
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]328 std::unique_ptr<arm_compute::graph::ITensorAccessor>(nullptr), PadStrideInfo(1, 1, 1, 1))
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]329 .set_name(param_path + "/Branch_1/Conv2d_0b_3x3/Conv2D")
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]330 << BatchNormalizationLayer(get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0b_3x3_BatchNorm_moving_mean.npy"),
331 get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0b_3x3_BatchNorm_moving_variance.npy"),
332 get_random_accessor(1.f, 1.f),
333 get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0b_3x3_BatchNorm_beta.npy"),
334 0.001f)
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]335 .set_name(param_path + "/Branch_1/Conv2d_0b_3x3/BatchNorm")
336 << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name(param_path + "/Branch_1/Conv2d_0b_3x3/Relu");
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]337
Georgios Pinitasd8734b52017-12-22 15:27:52 +0000[diff] [blame]338 SubStream i_c(graph);
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]339 i_c << ConvolutionLayer(1U, 1U, 64U,
Georgios Pinitase2220552018-07-20 13:23:44 +0100[diff] [blame]340 get_weights_accessor(data_path, total_path + "Branch_2_Conv2d_0a_1x1_weights.npy", weights_layout),
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]341 std::unique_ptr<arm_compute::graph::ITensorAccessor>(nullptr), PadStrideInfo(1, 1, 0, 0))
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]342 .set_name(param_path + "/Branch_2/Conv2d_0a_1x1/Conv2D")
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]343 << BatchNormalizationLayer(get_weights_accessor(data_path, total_path + "Branch_2_Conv2d_0a_1x1_BatchNorm_moving_mean.npy"),
344 get_weights_accessor(data_path, total_path + "Branch_2_Conv2d_0a_1x1_BatchNorm_moving_variance.npy"),
345 get_random_accessor(1.f, 1.f),
346 get_weights_accessor(data_path, total_path + "Branch_2_Conv2d_0a_1x1_BatchNorm_beta.npy"),
347 0.001f)
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]348 .set_name(param_path + "/Branch_2/Conv2d_0a_1x1/BatchNorm")
349 << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name(param_path + "/Branch_2/Conv2d_0a_1x1/Relu")
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]350 << ConvolutionLayer(3U, 3U, 96U,
Georgios Pinitase2220552018-07-20 13:23:44 +0100[diff] [blame]351 get_weights_accessor(data_path, total_path + "Branch_2_Conv2d_0b_3x3_weights.npy", weights_layout),
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]352 std::unique_ptr<arm_compute::graph::ITensorAccessor>(nullptr), PadStrideInfo(1, 1, 1, 1))
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]353 .set_name(param_path + "/Branch_2/Conv2d_0b_3x3/Conv2D")
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]354 << BatchNormalizationLayer(get_weights_accessor(data_path, total_path + "Branch_2_Conv2d_0b_3x3_BatchNorm_moving_mean.npy"),
355 get_weights_accessor(data_path, total_path + "Branch_2_Conv2d_0b_3x3_BatchNorm_moving_variance.npy"),
356 get_random_accessor(1.f, 1.f),
357 get_weights_accessor(data_path, total_path + "Branch_2_Conv2d_0b_3x3_BatchNorm_beta.npy"),
358 0.001f)
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]359 .set_name(param_path + "/Branch_2/Conv2d_0b_3x3/BatchNorm")
360 << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name(param_path + "/Branch_2/Conv2d_0b_3x3/Relu")
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]361 << ConvolutionLayer(3U, 3U, 96U,
Georgios Pinitase2220552018-07-20 13:23:44 +0100[diff] [blame]362 get_weights_accessor(data_path, total_path + "Branch_2_Conv2d_0c_3x3_weights.npy", weights_layout),
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]363 std::unique_ptr<arm_compute::graph::ITensorAccessor>(nullptr), PadStrideInfo(1, 1, 1, 1))
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]364 .set_name(param_path + "/Branch_2/Conv2d_0c_3x3/Conv2D")
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]365 << BatchNormalizationLayer(get_weights_accessor(data_path, total_path + "Branch_2_Conv2d_0c_3x3_BatchNorm_moving_mean.npy"),
366 get_weights_accessor(data_path, total_path + "Branch_2_Conv2d_0c_3x3_BatchNorm_moving_variance.npy"),
367 get_random_accessor(1.f, 1.f),
368 get_weights_accessor(data_path, total_path + "Branch_2_Conv2d_0c_3x3_BatchNorm_beta.npy"),
369 0.001f)
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]370 .set_name(param_path + "/Branch_2/Conv2d_0c_3x3/BatchNorm")
371 << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name(param_path + "/Branch_2/Conv2d_0c_3x3/Relu");
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]372
Georgios Pinitasd8734b52017-12-22 15:27:52 +0000[diff] [blame]373 SubStream i_d(graph);
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]374 i_d << PoolingLayer(PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 1, 1, DimensionRoundingType::CEIL), true)).set_name(param_path + "/Branch_3/AvgPool_0a_3x3/AvgPool")
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]375 << ConvolutionLayer(1U, 1U, 96U,
Georgios Pinitase2220552018-07-20 13:23:44 +0100[diff] [blame]376 get_weights_accessor(data_path, total_path + "Branch_3_Conv2d_0b_1x1_weights.npy", weights_layout),
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]377 std::unique_ptr<arm_compute::graph::ITensorAccessor>(nullptr), PadStrideInfo(1, 1, 0, 0))
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]378 .set_name(param_path + "/Branch_3/Conv2d_0b_1x1/Conv2D")
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]379 << BatchNormalizationLayer(get_weights_accessor(data_path, total_path + "Branch_3_Conv2d_0b_1x1_BatchNorm_moving_mean.npy"),
380 get_weights_accessor(data_path, total_path + "Branch_3_Conv2d_0b_1x1_BatchNorm_moving_variance.npy"),
381 get_random_accessor(1.f, 1.f),
382 get_weights_accessor(data_path, total_path + "Branch_3_Conv2d_0b_1x1_BatchNorm_beta.npy"),
383 0.001f)
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]384 .set_name(param_path + "/Branch_3/Conv2d_0b_1x1/BatchNorm")
385 << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name(param_path + "/Branch_3/Conv2d_0b_1x1/Relu");
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]386
Georgios Pinitas427bbbf2018-08-28 13:32:02 +0100[diff] [blame]387 return ConcatLayer(std::move(i_a), std::move(i_b), std::move(i_c), std::move(i_d));
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]388 }
389
Georgios Pinitas427bbbf2018-08-28 13:32:02 +0100[diff] [blame]390 ConcatLayer get_reductionA_block(const std::string &data_path, DataLayout weights_layout)
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]391 {
392 std::string total_path = "/cnn_data/inceptionv4_model/Mixed_6a_";
393
Georgios Pinitasd8734b52017-12-22 15:27:52 +0000[diff] [blame]394 SubStream i_a(graph);
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]395 i_a << ConvolutionLayer(3U, 3U, 384U,
Georgios Pinitase2220552018-07-20 13:23:44 +0100[diff] [blame]396 get_weights_accessor(data_path, total_path + "Branch_0_Conv2d_1a_3x3_weights.npy", weights_layout),
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]397 std::unique_ptr<arm_compute::graph::ITensorAccessor>(nullptr), PadStrideInfo(2, 2, 0, 0))
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]398 .set_name("Mixed_6a/Branch_0/Conv2d_1a_3x3/Conv2D")
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]399 << BatchNormalizationLayer(get_weights_accessor(data_path, total_path + "Branch_0_Conv2d_1a_3x3_BatchNorm_moving_mean.npy"),
400 get_weights_accessor(data_path, total_path + "Branch_0_Conv2d_1a_3x3_BatchNorm_moving_variance.npy"),
401 get_random_accessor(1.f, 1.f),
402 get_weights_accessor(data_path, total_path + "Branch_0_Conv2d_1a_3x3_BatchNorm_beta.npy"),
403 0.001f)
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]404 .set_name("Mixed_6a/Branch_0/Conv2d_1a_3x3/BatchNorm")
405 << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("Mixed_6a/Branch_0/Conv2d_1a_3x3/Relu");
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]406
Georgios Pinitasd8734b52017-12-22 15:27:52 +0000[diff] [blame]407 SubStream i_b(graph);
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]408 i_b << ConvolutionLayer(1U, 1U, 192U,
Georgios Pinitase2220552018-07-20 13:23:44 +0100[diff] [blame]409 get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0a_1x1_weights.npy", weights_layout),
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]410 std::unique_ptr<arm_compute::graph::ITensorAccessor>(nullptr), PadStrideInfo(1, 1, 0, 0))
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]411 .set_name("Mixed_6a/Branch_1/Conv2d_0a_1x1/Conv2D")
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]412 << BatchNormalizationLayer(get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0a_1x1_BatchNorm_moving_mean.npy"),
413 get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0a_1x1_BatchNorm_moving_variance.npy"),
414 get_random_accessor(1.f, 1.f),
415 get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0a_1x1_BatchNorm_beta.npy"),
416 0.001f)
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]417 .set_name("Mixed_6a/Branch_1/Conv2d_0a_1x1/BatchNorm")
418 << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("Mixed_6a/Branch_1/Conv2d_0a_1x1/Relu")
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]419 << ConvolutionLayer(3U, 3U, 224U,
Georgios Pinitase2220552018-07-20 13:23:44 +0100[diff] [blame]420 get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0b_3x3_weights.npy", weights_layout),
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]421 std::unique_ptr<arm_compute::graph::ITensorAccessor>(nullptr), PadStrideInfo(1, 1, 1, 1))
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]422 .set_name("Mixed_6a/Branch_1/Conv2d_0b_3x3/Conv2D")
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]423 << BatchNormalizationLayer(get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0b_3x3_BatchNorm_moving_mean.npy"),
424 get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0b_3x3_BatchNorm_moving_variance.npy"),
425 get_random_accessor(1.f, 1.f),
426 get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0b_3x3_BatchNorm_beta.npy"),
427 0.001f)
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]428 .set_name("Mixed_6a/Branch_1/Conv2d_0b_3x3/BatchNorm")
429 << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("Mixed_6a/Branch_1/Conv2d_0b_3x3/Relu")
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]430 << ConvolutionLayer(3U, 3U, 256U,
Georgios Pinitase2220552018-07-20 13:23:44 +0100[diff] [blame]431 get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_1a_3x3_weights.npy", weights_layout),
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]432 std::unique_ptr<arm_compute::graph::ITensorAccessor>(nullptr), PadStrideInfo(2, 2, 0, 0))
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]433 .set_name("Mixed_6a/Branch_1/Conv2d_1a_3x3/Conv2D")
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]434 << BatchNormalizationLayer(get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_1a_3x3_BatchNorm_moving_mean.npy"),
435 get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_1a_3x3_BatchNorm_moving_variance.npy"),
436 get_random_accessor(1.f, 1.f),
437 get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_1a_3x3_BatchNorm_beta.npy"),
438 0.001f)
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]439 .set_name("Mixed_6a/Branch_1/Conv2d_1a_3x3/BatchNorm")
440 << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("Mixed_6a/Branch_1/Conv2d_1a_3x3/Relu");
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]441
Georgios Pinitasd8734b52017-12-22 15:27:52 +0000[diff] [blame]442 SubStream i_c(graph);
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]443 i_c << PoolingLayer(PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL), true)).set_name("Mixed_6a/Branch_2/MaxPool_1a_3x3/MaxPool");
Georgios Pinitasd8734b52017-12-22 15:27:52 +0000[diff] [blame]444
Georgios Pinitas427bbbf2018-08-28 13:32:02 +0100[diff] [blame]445 return ConcatLayer(std::move(i_a), std::move(i_b), std::move(i_c));
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]446 }
447
Georgios Pinitas427bbbf2018-08-28 13:32:02 +0100[diff] [blame]448 ConcatLayer get_inceptionB_block(const std::string &data_path, DataLayout weights_layout, std::string &&param_path)
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]449 {
450 std::string total_path = "/cnn_data/inceptionv4_model/" + param_path + "_";
451
Georgios Pinitasd8734b52017-12-22 15:27:52 +0000[diff] [blame]452 SubStream i_a(graph);
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]453 i_a << ConvolutionLayer(1U, 1U, 384U,
Georgios Pinitase2220552018-07-20 13:23:44 +0100[diff] [blame]454 get_weights_accessor(data_path, total_path + "Branch_0_Conv2d_0a_1x1_weights.npy", weights_layout),
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]455 std::unique_ptr<arm_compute::graph::ITensorAccessor>(nullptr), PadStrideInfo(1, 1, 0, 0))
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]456 .set_name(param_path + "/Branch_0/Conv2d_0a_1x1/Conv2D")
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]457 << BatchNormalizationLayer(get_weights_accessor(data_path, total_path + "Branch_0_Conv2d_0a_1x1_BatchNorm_moving_mean.npy"),
458 get_weights_accessor(data_path, total_path + "Branch_0_Conv2d_0a_1x1_BatchNorm_moving_variance.npy"),
459 get_random_accessor(1.f, 1.f),
460 get_weights_accessor(data_path, total_path + "Branch_0_Conv2d_0a_1x1_BatchNorm_beta.npy"),
461 0.001f)
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]462 .set_name(param_path + "/Branch_0/Conv2d_0a_1x1/BatchNorm")
463 << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name(param_path + "/Branch_0/Conv2d_0a_1x1/Relu");
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]464
Georgios Pinitasd8734b52017-12-22 15:27:52 +0000[diff] [blame]465 SubStream i_b(graph);
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]466 i_b << ConvolutionLayer(1U, 1U, 192U,
Georgios Pinitase2220552018-07-20 13:23:44 +0100[diff] [blame]467 get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0a_1x1_weights.npy", weights_layout),
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]468 std::unique_ptr<arm_compute::graph::ITensorAccessor>(nullptr), PadStrideInfo(1, 1, 0, 0))
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]469 .set_name(param_path + "/Branch_1/Conv2d_0a_1x1/Conv2D")
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]470 << BatchNormalizationLayer(get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0a_1x1_BatchNorm_moving_mean.npy"),
471 get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0a_1x1_BatchNorm_moving_variance.npy"),
472 get_random_accessor(1.f, 1.f),
473 get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0a_1x1_BatchNorm_beta.npy"),
474 0.001f)
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]475 .set_name(param_path + "/Branch_1/Conv2d_0a_1x1/BatchNorm")
476 << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name(param_path + "/Branch_1/Conv2d_0a_1x1/Relu")
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]477 << ConvolutionLayer(7U, 1U, 224U,
Georgios Pinitase2220552018-07-20 13:23:44 +0100[diff] [blame]478 get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0b_1x7_weights.npy", weights_layout),
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]479 std::unique_ptr<arm_compute::graph::ITensorAccessor>(nullptr), PadStrideInfo(1, 1, 3, 0))
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]480 .set_name(param_path + "/Branch_1/Conv2d_0b_1x7/Conv2D")
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]481 << BatchNormalizationLayer(get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0b_1x7_BatchNorm_moving_mean.npy"),
482 get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0b_1x7_BatchNorm_moving_variance.npy"),
483 get_random_accessor(1.f, 1.f),
484 get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0b_1x7_BatchNorm_beta.npy"),
485 0.001f)
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]486 .set_name(param_path + "/Branch_1/Conv2d_0b_1x7/BatchNorm")
487 << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name(param_path + "/Branch_1/Conv2d_0b_1x7/Relu")
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]488 << ConvolutionLayer(1U, 7U, 256U,
Georgios Pinitase2220552018-07-20 13:23:44 +0100[diff] [blame]489 get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0c_7x1_weights.npy", weights_layout),
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]490 std::unique_ptr<arm_compute::graph::ITensorAccessor>(nullptr), PadStrideInfo(1, 1, 0, 3))
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]491 .set_name(param_path + "/Branch_1/Conv2d_0c_7x1/Conv2D")
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]492 << BatchNormalizationLayer(get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0c_7x1_BatchNorm_moving_mean.npy"),
493 get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0c_7x1_BatchNorm_moving_variance.npy"),
494 get_random_accessor(1.f, 1.f),
495 get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0c_7x1_BatchNorm_beta.npy"),
496 0.001f)
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]497 .set_name(param_path + "/Branch_1/Conv2d_0c_7x1/BatchNorm")
498 << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name(param_path + "/Branch_1/Conv2d_0c_7x1/Relu");
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]499
Georgios Pinitasd8734b52017-12-22 15:27:52 +0000[diff] [blame]500 SubStream i_c(graph);
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]501 i_c << ConvolutionLayer(1U, 1U, 192U,
Georgios Pinitase2220552018-07-20 13:23:44 +0100[diff] [blame]502 get_weights_accessor(data_path, total_path + "Branch_2_Conv2d_0a_1x1_weights.npy", weights_layout),
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]503 std::unique_ptr<arm_compute::graph::ITensorAccessor>(nullptr), PadStrideInfo(1, 1, 0, 0))
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]504 .set_name(param_path + "/Branch_2/Conv2d_0a_1x1/Conv2D")
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]505 << BatchNormalizationLayer(get_weights_accessor(data_path, total_path + "Branch_2_Conv2d_0a_1x1_BatchNorm_moving_mean.npy"),
506 get_weights_accessor(data_path, total_path + "Branch_2_Conv2d_0a_1x1_BatchNorm_moving_variance.npy"),
507 get_random_accessor(1.f, 1.f),
508 get_weights_accessor(data_path, total_path + "Branch_2_Conv2d_0a_1x1_BatchNorm_beta.npy"),
509 0.001f)
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]510 .set_name(param_path + "/Branch_2/Conv2d_0a_1x1/BatchNorm")
511 << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name(param_path + "/Branch_2/Conv2d_0a_1x1/Relu")
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]512 << ConvolutionLayer(1U, 7U, 192U,
Georgios Pinitase2220552018-07-20 13:23:44 +0100[diff] [blame]513 get_weights_accessor(data_path, total_path + "Branch_2_Conv2d_0b_7x1_weights.npy", weights_layout),
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]514 std::unique_ptr<arm_compute::graph::ITensorAccessor>(nullptr), PadStrideInfo(1, 1, 0, 3))
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]515 .set_name(param_path + "/Branch_2/Conv2d_0b_7x1/Conv2D")
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]516 << BatchNormalizationLayer(get_weights_accessor(data_path, total_path + "Branch_2_Conv2d_0b_7x1_BatchNorm_moving_mean.npy"),
517 get_weights_accessor(data_path, total_path + "Branch_2_Conv2d_0b_7x1_BatchNorm_moving_variance.npy"),
518 get_random_accessor(1.f, 1.f),
519 get_weights_accessor(data_path, total_path + "Branch_2_Conv2d_0b_7x1_BatchNorm_beta.npy"),
520 0.001f)
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]521 .set_name(param_path + "/Branch_2/Conv2d_0b_7x1/BatchNorm")
522 << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name(param_path + "/Branch_2/Conv2d_0b_7x1/Relu")
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]523 << ConvolutionLayer(7U, 1U, 224U,
Georgios Pinitase2220552018-07-20 13:23:44 +0100[diff] [blame]524 get_weights_accessor(data_path, total_path + "Branch_2_Conv2d_0c_1x7_weights.npy", weights_layout),
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]525 std::unique_ptr<arm_compute::graph::ITensorAccessor>(nullptr), PadStrideInfo(1, 1, 3, 0))
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]526 .set_name(param_path + "/Branch_2/Conv2d_0c_1x7/Conv2D")
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]527 << BatchNormalizationLayer(get_weights_accessor(data_path, total_path + "Branch_2_Conv2d_0c_1x7_BatchNorm_moving_mean.npy"),
528 get_weights_accessor(data_path, total_path + "Branch_2_Conv2d_0c_1x7_BatchNorm_moving_variance.npy"),
529 get_random_accessor(1.f, 1.f),
530 get_weights_accessor(data_path, total_path + "Branch_2_Conv2d_0c_1x7_BatchNorm_beta.npy"),
531 0.001f)
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]532 .set_name(param_path + "/Branch_2/Conv2d_0c_1x7/BatchNorm")
533 << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name(param_path + "/Branch_2/Conv2d_0c_1x7/Relu")
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]534 << ConvolutionLayer(1U, 7U, 224U,
Georgios Pinitase2220552018-07-20 13:23:44 +0100[diff] [blame]535 get_weights_accessor(data_path, total_path + "Branch_2_Conv2d_0d_7x1_weights.npy", weights_layout),
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]536 std::unique_ptr<arm_compute::graph::ITensorAccessor>(nullptr), PadStrideInfo(1, 1, 0, 3))
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]537 .set_name(param_path + "/Branch_2/Conv2d_0d_7x1/Conv2D")
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]538 << BatchNormalizationLayer(get_weights_accessor(data_path, total_path + "Branch_2_Conv2d_0d_7x1_BatchNorm_moving_mean.npy"),
539 get_weights_accessor(data_path, total_path + "Branch_2_Conv2d_0d_7x1_BatchNorm_moving_variance.npy"),
540 get_random_accessor(1.f, 1.f),
541 get_weights_accessor(data_path, total_path + "Branch_2_Conv2d_0d_7x1_BatchNorm_beta.npy"),
542 0.001f)
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]543 .set_name(param_path + "/Branch_2/Conv2d_0d_7x1/BatchNorm")
544 << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name(param_path + "/Branch_2/Conv2d_0d_7x1/Relu")
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]545 << ConvolutionLayer(7U, 1U, 256U,
Georgios Pinitase2220552018-07-20 13:23:44 +0100[diff] [blame]546 get_weights_accessor(data_path, total_path + "Branch_2_Conv2d_0e_1x7_weights.npy", weights_layout),
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]547 std::unique_ptr<arm_compute::graph::ITensorAccessor>(nullptr), PadStrideInfo(1, 1, 3, 0))
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]548 .set_name(param_path + "/Branch_2/Conv2d_0e_1x7/Conv2D")
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]549 << BatchNormalizationLayer(get_weights_accessor(data_path, total_path + "Branch_2_Conv2d_0e_1x7_BatchNorm_moving_mean.npy"),
550 get_weights_accessor(data_path, total_path + "Branch_2_Conv2d_0e_1x7_BatchNorm_moving_variance.npy"),
551 get_random_accessor(1.f, 1.f),
552 get_weights_accessor(data_path, total_path + "Branch_2_Conv2d_0e_1x7_BatchNorm_beta.npy"),
553 0.001f)
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]554 .set_name(param_path + "/Branch_2/Conv2d_0e_1x7/BatchNorm")
555 << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name(param_path + "/Branch_2/Conv2d_0e_1x7/Relu");
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]556
Georgios Pinitasd8734b52017-12-22 15:27:52 +0000[diff] [blame]557 SubStream i_d(graph);
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]558 i_d << PoolingLayer(PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 1, 1, DimensionRoundingType::CEIL), true)).set_name(param_path + "/Branch_3/AvgPool_0a_3x3/AvgPool")
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]559 << ConvolutionLayer(1U, 1U, 128U,
Georgios Pinitase2220552018-07-20 13:23:44 +0100[diff] [blame]560 get_weights_accessor(data_path, total_path + "Branch_3_Conv2d_0b_1x1_weights.npy", weights_layout),
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]561 std::unique_ptr<arm_compute::graph::ITensorAccessor>(nullptr), PadStrideInfo(1, 1, 0, 0))
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]562 .set_name(param_path + "/Branch_3/Conv2d_0b_1x1/Conv2D")
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]563 << BatchNormalizationLayer(get_weights_accessor(data_path, total_path + "Branch_3_Conv2d_0b_1x1_BatchNorm_moving_mean.npy"),
564 get_weights_accessor(data_path, total_path + "Branch_3_Conv2d_0b_1x1_BatchNorm_moving_variance.npy"),
565 get_random_accessor(1.f, 1.f),
566 get_weights_accessor(data_path, total_path + "Branch_3_Conv2d_0b_1x1_BatchNorm_beta.npy"),
567 0.001f)
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]568 .set_name(param_path + "/Branch_3/Conv2d_0b_1x1/BatchNorm")
569 << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name(param_path + "/Branch_3/Conv2d_0b_1x1/Relu");
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]570
Georgios Pinitas427bbbf2018-08-28 13:32:02 +0100[diff] [blame]571 return ConcatLayer(std::move(i_a), std::move(i_b), std::move(i_c), std::move(i_d));
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]572 }
573
Georgios Pinitas427bbbf2018-08-28 13:32:02 +0100[diff] [blame]574 ConcatLayer get_reductionB_block(const std::string &data_path, DataLayout weights_layout)
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]575 {
576 std::string total_path = "/cnn_data/inceptionv4_model/Mixed_7a_";
577
Georgios Pinitasd8734b52017-12-22 15:27:52 +0000[diff] [blame]578 SubStream i_a(graph);
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]579 i_a << ConvolutionLayer(1U, 1U, 192U,
Georgios Pinitase2220552018-07-20 13:23:44 +0100[diff] [blame]580 get_weights_accessor(data_path, total_path + "Branch_0_Conv2d_0a_1x1_weights.npy", weights_layout),
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]581 std::unique_ptr<arm_compute::graph::ITensorAccessor>(nullptr), PadStrideInfo(1, 1, 0, 0))
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]582 .set_name("Mixed_7a/Branch_1/Conv2d_0a_1x1/Conv2D")
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]583 << BatchNormalizationLayer(get_weights_accessor(data_path, total_path + "Branch_0_Conv2d_0a_1x1_BatchNorm_moving_mean.npy"),
584 get_weights_accessor(data_path, total_path + "Branch_0_Conv2d_0a_1x1_BatchNorm_moving_variance.npy"),
585 get_random_accessor(1.f, 1.f),
586 get_weights_accessor(data_path, total_path + "Branch_0_Conv2d_0a_1x1_BatchNorm_beta.npy"),
587 0.001f)
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]588 .set_name("Mixed_7a/Branch_1/Conv2d_0a_1x1/BatchNorm")
589 << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("Mixed_7a/Branch_1/Conv2d_0a_1x1/Relu")
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]590 << ConvolutionLayer(3U, 3U, 192U,
Georgios Pinitase2220552018-07-20 13:23:44 +0100[diff] [blame]591 get_weights_accessor(data_path, total_path + "Branch_0_Conv2d_1a_3x3_weights.npy", weights_layout),
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]592 std::unique_ptr<arm_compute::graph::ITensorAccessor>(nullptr), PadStrideInfo(2, 2, 0, 0))
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]593 .set_name("Mixed_7a/Branch_0/Conv2d_1a_3x3/Conv2D")
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]594 << BatchNormalizationLayer(get_weights_accessor(data_path, total_path + "Branch_0_Conv2d_1a_3x3_BatchNorm_moving_mean.npy"),
595 get_weights_accessor(data_path, total_path + "Branch_0_Conv2d_1a_3x3_BatchNorm_moving_variance.npy"),
596 get_random_accessor(1.f, 1.f),
597 get_weights_accessor(data_path, total_path + "Branch_0_Conv2d_1a_3x3_BatchNorm_beta.npy"),
598 0.001f)
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]599 .set_name("Mixed_7a/Branch_0/Conv2d_1a_3x3/BatchNorm")
600 << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("Mixed_7a/Branch_0/Conv2d_1a_3x3/Relu");
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]601
Georgios Pinitasd8734b52017-12-22 15:27:52 +0000[diff] [blame]602 SubStream i_b(graph);
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]603 i_b << ConvolutionLayer(1U, 1U, 256U,
Georgios Pinitase2220552018-07-20 13:23:44 +0100[diff] [blame]604 get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0a_1x1_weights.npy", weights_layout),
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]605 std::unique_ptr<arm_compute::graph::ITensorAccessor>(nullptr), PadStrideInfo(1, 1, 0, 0))
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]606 .set_name("Mixed_7a/Branch_1/Conv2d_0a_1x1/Conv2D")
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]607 << BatchNormalizationLayer(get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0a_1x1_BatchNorm_moving_mean.npy"),
608 get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0a_1x1_BatchNorm_moving_variance.npy"),
609 get_random_accessor(1.f, 1.f),
610 get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0a_1x1_BatchNorm_beta.npy"),
611 0.001f)
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]612 .set_name("Mixed_7a/Branch_1/Conv2d_0a_1x1/BatchNorm")
613 << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("Mixed_7a/Branch_1/Conv2d_0a_1x1/Relu")
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]614 << ConvolutionLayer(7U, 1U, 256U,
Georgios Pinitase2220552018-07-20 13:23:44 +0100[diff] [blame]615 get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0b_1x7_weights.npy", weights_layout),
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]616 std::unique_ptr<arm_compute::graph::ITensorAccessor>(nullptr), PadStrideInfo(1, 1, 3, 0))
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]617 .set_name("Mixed_7a/Branch_1/Conv2d_0b_1x7/Conv2D")
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]618 << BatchNormalizationLayer(get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0b_1x7_BatchNorm_moving_mean.npy"),
619 get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0b_1x7_BatchNorm_moving_variance.npy"),
620 get_random_accessor(1.f, 1.f),
621 get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0b_1x7_BatchNorm_beta.npy"),
622 0.001f)
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]623 .set_name("Mixed_7a/Branch_1/Conv2d_0b_1x7/BatchNorm")
624 << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("Mixed_7a/Branch_1/Conv2d_0b_1x7/Relu")
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]625 << ConvolutionLayer(1U, 7U, 320U,
Georgios Pinitase2220552018-07-20 13:23:44 +0100[diff] [blame]626 get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0c_7x1_weights.npy", weights_layout),
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]627 std::unique_ptr<arm_compute::graph::ITensorAccessor>(nullptr), PadStrideInfo(1, 1, 0, 3))
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]628 .set_name("Mixed_7a/Branch_1/Conv2d_0c_7x1/Conv2D")
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]629 << BatchNormalizationLayer(get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0c_7x1_BatchNorm_moving_mean.npy"),
630 get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0c_7x1_BatchNorm_moving_variance.npy"),
631 get_random_accessor(1.f, 1.f),
632 get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0c_7x1_BatchNorm_beta.npy"),
633 0.001f)
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]634 .set_name("Mixed_7a/Branch_1/Conv2d_0c_7x1/BatchNorm")
635 << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("Mixed_7a/Branch_1/Conv2d_0c_7x1/Relu")
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]636 << ConvolutionLayer(3U, 3U, 320U,
Georgios Pinitase2220552018-07-20 13:23:44 +0100[diff] [blame]637 get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_1a_3x3_weights.npy", weights_layout),
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]638 std::unique_ptr<arm_compute::graph::ITensorAccessor>(nullptr), PadStrideInfo(2, 2, 0, 0))
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]639 .set_name("Mixed_7a/Branch_1/Conv2d_1a_3x3/Conv2D")
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]640 << BatchNormalizationLayer(get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_1a_3x3_BatchNorm_moving_mean.npy"),
641 get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_1a_3x3_BatchNorm_moving_variance.npy"),
642 get_random_accessor(1.f, 1.f),
643 get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_1a_3x3_BatchNorm_beta.npy"),
644 0.001f)
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]645 .set_name("Mixed_7a/Branch_1/Conv2d_1a_3x3/BatchNorm")
646 << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("Mixed_7a/Branch_1/Conv2d_1a_3x3/Relu");
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]647
Georgios Pinitasd8734b52017-12-22 15:27:52 +0000[diff] [blame]648 SubStream i_c(graph);
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]649 i_c << PoolingLayer(PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL), true)).set_name("Mixed_7a/Branch_2/MaxPool_1a_3x3/MaxPool");
Georgios Pinitasd8734b52017-12-22 15:27:52 +0000[diff] [blame]650
Georgios Pinitas427bbbf2018-08-28 13:32:02 +0100[diff] [blame]651 return ConcatLayer(std::move(i_a), std::move(i_b), std::move(i_c));
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]652 }
653
Georgios Pinitas427bbbf2018-08-28 13:32:02 +0100[diff] [blame]654 ConcatLayer get_inceptionC_block(const std::string &data_path, DataLayout weights_layout, std::string &&param_path)
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]655 {
656 std::string total_path = "/cnn_data/inceptionv4_model/" + param_path + "_";
657
Georgios Pinitasd8734b52017-12-22 15:27:52 +0000[diff] [blame]658 SubStream i_a(graph);
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]659 i_a << ConvolutionLayer(1U, 1U, 256U,
Georgios Pinitase2220552018-07-20 13:23:44 +0100[diff] [blame]660 get_weights_accessor(data_path, total_path + "Branch_0_Conv2d_0a_1x1_weights.npy", weights_layout),
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]661 std::unique_ptr<arm_compute::graph::ITensorAccessor>(nullptr), PadStrideInfo(1, 1, 0, 0))
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]662 .set_name(param_path + "/Branch_0/Conv2d_0a_1x1/Conv2D")
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]663 << BatchNormalizationLayer(get_weights_accessor(data_path, total_path + "Branch_0_Conv2d_0a_1x1_BatchNorm_moving_mean.npy"),
664 get_weights_accessor(data_path, total_path + "Branch_0_Conv2d_0a_1x1_BatchNorm_moving_variance.npy"),
665 get_random_accessor(1.f, 1.f),
666 get_weights_accessor(data_path, total_path + "Branch_0_Conv2d_0a_1x1_BatchNorm_beta.npy"),
667 0.001f)
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]668 .set_name(param_path + "/Branch_0/Conv2d_0a_1x1/BatchNorm")
669 << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name(param_path + "/Branch_0/Conv2d_0a_1x1/Relu");
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]670
Georgios Pinitasd8734b52017-12-22 15:27:52 +0000[diff] [blame]671 SubStream i_b(graph);
672 i_b << ConvolutionLayer(
673 1U, 1U, 384U,
Georgios Pinitase2220552018-07-20 13:23:44 +0100[diff] [blame]674 get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0a_1x1_weights.npy", weights_layout),
Georgios Pinitasd8734b52017-12-22 15:27:52 +0000[diff] [blame]675 std::unique_ptr<arm_compute::graph::ITensorAccessor>(nullptr),
676 PadStrideInfo(1, 1, 0, 0))
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]677 .set_name(param_path + "/Branch_1/Conv2d_0a_1x1/Conv2D")
Georgios Pinitasd8734b52017-12-22 15:27:52 +0000[diff] [blame]678 << BatchNormalizationLayer(
679 get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0a_1x1_BatchNorm_moving_mean.npy"),
680 get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0a_1x1_BatchNorm_moving_variance.npy"),
681 get_random_accessor(1.f, 1.f),
682 get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0a_1x1_BatchNorm_beta.npy"),
683 0.001f)
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]684 .set_name(param_path + "/Branch_1/Conv2d_0a_1x1/BatchNorm")
685 << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name(param_path + "/Branch_1/Conv2d_0a_1x1/Relu");
Georgios Pinitasd8734b52017-12-22 15:27:52 +0000[diff] [blame]686
Georgios Pinitas772e17f2018-07-13 12:25:33 +0100[diff] [blame]687 SubStream i_b1(i_b);
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]688 i_b1 << ConvolutionLayer(
689 3U, 1U, 256U,
Georgios Pinitase2220552018-07-20 13:23:44 +0100[diff] [blame]690 get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0b_1x3_weights.npy", weights_layout),
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]691 std::unique_ptr<arm_compute::graph::ITensorAccessor>(nullptr),
692 PadStrideInfo(1, 1, 1, 0))
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]693 .set_name(param_path + "/Branch_1/Conv2d_0b_1x3/Conv2D")
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]694 << BatchNormalizationLayer(
695 get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0b_1x3_BatchNorm_moving_mean.npy"),
696 get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0b_1x3_BatchNorm_moving_variance.npy"),
697 get_random_accessor(1.f, 1.f),
698 get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0b_1x3_BatchNorm_beta.npy"),
699 0.001f)
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]700 .set_name(param_path + "/Branch_1/Conv2d_0b_1x3/BatchNorm")
701 << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name(param_path + "/Branch_1/Conv2d_0b_1x3/Relu");
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]702
Georgios Pinitas772e17f2018-07-13 12:25:33 +0100[diff] [blame]703 SubStream i_b2(i_b);
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]704 i_b2 << ConvolutionLayer(
705 1U, 3U, 256U,
Georgios Pinitase2220552018-07-20 13:23:44 +0100[diff] [blame]706 get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0c_3x1_weights.npy", weights_layout),
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]707 std::unique_ptr<arm_compute::graph::ITensorAccessor>(nullptr),
708 PadStrideInfo(1, 1, 0, 1))
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]709 .set_name(param_path + "/Branch_1/Conv2d_0c_3x1/Conv2D")
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]710 << BatchNormalizationLayer(
711 get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0c_3x1_BatchNorm_moving_mean.npy"),
712 get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0c_3x1_BatchNorm_moving_variance.npy"),
713 get_random_accessor(1.f, 1.f),
714 get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0c_3x1_BatchNorm_beta.npy"),
715 0.001f)
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]716 .set_name(param_path + "/Branch_1/Conv2d_0c_3x1/BatchNorm")
717 << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name(param_path + "/Branch_1/Conv2d_0c_3x1/Relu");
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]718
Georgios Pinitasd8734b52017-12-22 15:27:52 +0000[diff] [blame]719 // Merge b1 and b2
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]720 i_b << ConcatLayer(std::move(i_b1), std::move(i_b2)).set_name(param_path + "/Branch_1/concat");
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]721
Georgios Pinitasd8734b52017-12-22 15:27:52 +0000[diff] [blame]722 SubStream i_c(graph);
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]723 i_c << ConvolutionLayer(
724 1U, 1U, 384U,
Georgios Pinitase2220552018-07-20 13:23:44 +0100[diff] [blame]725 get_weights_accessor(data_path, total_path + "Branch_2_Conv2d_0a_1x1_weights.npy", weights_layout),
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]726 std::unique_ptr<arm_compute::graph::ITensorAccessor>(nullptr),
727 PadStrideInfo(1, 1, 0, 0))
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]728 .set_name(param_path + "/Branch_2/Conv2d_0a_1x1/Conv2D")
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]729 << BatchNormalizationLayer(
730 get_weights_accessor(data_path, total_path + "Branch_2_Conv2d_0a_1x1_BatchNorm_moving_mean.npy"),
731 get_weights_accessor(data_path, total_path + "Branch_2_Conv2d_0a_1x1_BatchNorm_moving_variance.npy"),
732 get_random_accessor(1.f, 1.f),
733 get_weights_accessor(data_path, total_path + "Branch_2_Conv2d_0a_1x1_BatchNorm_beta.npy"),
734 0.001f)
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]735 .set_name(param_path + "/Branch_2/Conv2d_0a_1x1/BatchNorm")
736 << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name(param_path + "/Branch_2/Conv2d_0a_1x1/Relu")
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]737 << ConvolutionLayer(
738 1U, 3U, 448U,
Georgios Pinitase2220552018-07-20 13:23:44 +0100[diff] [blame]739 get_weights_accessor(data_path, total_path + "Branch_2_Conv2d_0b_3x1_weights.npy", weights_layout),
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]740 std::unique_ptr<arm_compute::graph::ITensorAccessor>(nullptr),
741 PadStrideInfo(1, 1, 0, 1))
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]742 .set_name(param_path + "/Branch_2/Conv2d_0b_3x1/Conv2D")
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]743 << BatchNormalizationLayer(
744 get_weights_accessor(data_path, total_path + "Branch_2_Conv2d_0b_3x1_BatchNorm_moving_mean.npy"),
745 get_weights_accessor(data_path, total_path + "Branch_2_Conv2d_0b_3x1_BatchNorm_moving_variance.npy"),
746 get_random_accessor(1.f, 1.f),
747 get_weights_accessor(data_path, total_path + "Branch_2_Conv2d_0b_3x1_BatchNorm_beta.npy"),
748 0.001f)
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]749 .set_name(param_path + "/Branch_2/Conv2d_0b_3x1/BatchNorm")
750 << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name(param_path + "/Branch_2/Conv2d_0b_3x1/Relu")
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]751 << ConvolutionLayer(
752 3U, 1U, 512U,
Georgios Pinitase2220552018-07-20 13:23:44 +0100[diff] [blame]753 get_weights_accessor(data_path, total_path + "Branch_2_Conv2d_0c_1x3_weights.npy", weights_layout),
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]754 std::unique_ptr<arm_compute::graph::ITensorAccessor>(nullptr),
755 PadStrideInfo(1, 1, 1, 0))
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]756 .set_name(param_path + "/Branch_2/Conv2d_0c_1x3/Conv2D")
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]757 << BatchNormalizationLayer(
758 get_weights_accessor(data_path, total_path + "Branch_2_Conv2d_0c_1x3_BatchNorm_moving_mean.npy"),
759 get_weights_accessor(data_path, total_path + "Branch_2_Conv2d_0c_1x3_BatchNorm_moving_variance.npy"),
760 get_random_accessor(1.f, 1.f),
761 get_weights_accessor(data_path, total_path + "Branch_2_Conv2d_0c_1x3_BatchNorm_beta.npy"),
762 0.001f)
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]763 .set_name(param_path + "/Branch_2/Conv2d_0c_1x3/BatchNorm")
764 << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name(param_path + "/Branch_2/Conv2d_0c_1x3/Relu");
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]765
Georgios Pinitas772e17f2018-07-13 12:25:33 +0100[diff] [blame]766 SubStream i_c1(i_c);
Georgios Pinitasd8734b52017-12-22 15:27:52 +0000[diff] [blame]767 i_c1 << ConvolutionLayer(
768 3U, 1U, 256U,
Georgios Pinitase2220552018-07-20 13:23:44 +0100[diff] [blame]769 get_weights_accessor(data_path, total_path + "Branch_2_Conv2d_0d_1x3_weights.npy", weights_layout),
Georgios Pinitasd8734b52017-12-22 15:27:52 +0000[diff] [blame]770 std::unique_ptr<arm_compute::graph::ITensorAccessor>(nullptr),
771 PadStrideInfo(1, 1, 1, 0))
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]772 .set_name(param_path + "/Branch_2/Conv2d_0d_1x3/Conv2D")
Georgios Pinitasd8734b52017-12-22 15:27:52 +0000[diff] [blame]773 << BatchNormalizationLayer(
774 get_weights_accessor(data_path, total_path + "Branch_2_Conv2d_0d_1x3_BatchNorm_moving_mean.npy"),
775 get_weights_accessor(data_path, total_path + "Branch_2_Conv2d_0d_1x3_BatchNorm_moving_variance.npy"),
776 get_random_accessor(1.f, 1.f),
777 get_weights_accessor(data_path, total_path + "Branch_2_Conv2d_0d_1x3_BatchNorm_beta.npy"),
778 0.001f)
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]779 .set_name(param_path + "/Branch_2/Conv2d_0d_1x3/BatchNorm")
780 << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name(param_path + "/Branch_2/Conv2d_0d_1x3/Relu");
Georgios Pinitasd8734b52017-12-22 15:27:52 +0000[diff] [blame]781
Georgios Pinitas772e17f2018-07-13 12:25:33 +0100[diff] [blame]782 SubStream i_c2(i_c);
Georgios Pinitasd8734b52017-12-22 15:27:52 +0000[diff] [blame]783 i_c2 << ConvolutionLayer(
784 1U, 3U, 256U,
Georgios Pinitase2220552018-07-20 13:23:44 +0100[diff] [blame]785 get_weights_accessor(data_path, total_path + "Branch_2_Conv2d_0e_3x1_weights.npy", weights_layout),
Georgios Pinitasd8734b52017-12-22 15:27:52 +0000[diff] [blame]786 std::unique_ptr<arm_compute::graph::ITensorAccessor>(nullptr),
787 PadStrideInfo(1, 1, 0, 1))
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]788 .set_name(param_path + "/Branch_2/Conv2d_0e_3x1/Conv2D")
Georgios Pinitasd8734b52017-12-22 15:27:52 +0000[diff] [blame]789 << BatchNormalizationLayer(
790 get_weights_accessor(data_path, total_path + "Branch_2_Conv2d_0e_3x1_BatchNorm_moving_mean.npy"),
791 get_weights_accessor(data_path, total_path + "Branch_2_Conv2d_0e_3x1_BatchNorm_moving_variance.npy"),
792 get_random_accessor(1.f, 1.f),
793 get_weights_accessor(data_path, total_path + "Branch_2_Conv2d_0e_3x1_BatchNorm_beta.npy"),
794 0.001f)
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]795 .set_name(param_path + "/Branch_2/Conv2d_0e_3x1/BatchNorm")
796 << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name(param_path + "/Branch_2/Conv2d_0e_3x1/Relu");
Georgios Pinitasd8734b52017-12-22 15:27:52 +0000[diff] [blame]797
798 // Merge i_c1 and i_c2
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]799 i_c << ConcatLayer(std::move(i_c1), std::move(i_c2)).set_name(param_path + "/Branch_2/concat");
Georgios Pinitasd8734b52017-12-22 15:27:52 +0000[diff] [blame]800
801 SubStream i_d(graph);
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]802 i_d << PoolingLayer(PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 1, 1, DimensionRoundingType::CEIL), true)).set_name(param_path + "/Branch_3/AvgPool_0a_3x3/AvgPool")
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]803 << ConvolutionLayer(1U, 1U, 256U,
Georgios Pinitase2220552018-07-20 13:23:44 +0100[diff] [blame]804 get_weights_accessor(data_path, total_path + "Branch_3_Conv2d_0b_1x1_weights.npy", weights_layout),
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]805 std::unique_ptr<arm_compute::graph::ITensorAccessor>(nullptr), PadStrideInfo(1, 1, 0, 0))
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]806 .set_name(param_path + "/Branch_3/Conv2d_0b_1x1/Conv2D")
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]807 << BatchNormalizationLayer(get_weights_accessor(data_path, total_path + "Branch_3_Conv2d_0b_1x1_BatchNorm_moving_mean.npy"),
808 get_weights_accessor(data_path, total_path + "Branch_3_Conv2d_0b_1x1_BatchNorm_moving_variance.npy"),
809 get_random_accessor(1.f, 1.f),
810 get_weights_accessor(data_path, total_path + "Branch_3_Conv2d_0b_1x1_BatchNorm_beta.npy"),
811 0.001f)
Georgios Pinitas62c36392019-01-31 12:53:10 +0000[diff] [blame]812 .set_name(param_path + "/Branch_3/Conv2d_0b_1x1/BatchNorm")
813 << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name(param_path + "/Branch_3/Conv2d_0b_1x1/Relu");
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]814
Georgios Pinitas427bbbf2018-08-28 13:32:02 +0100[diff] [blame]815 return ConcatLayer(std::move(i_a), std::move(i_b), std::move(i_c), std::move(i_d));
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]816 }
817};
818
819/** Main program for Inception V4
820 *
Georgios Pinitasbdbbbe82018-11-07 16:06:47 +0000[diff] [blame]821 * Model is based on:
822 * https://arxiv.org/abs/1602.07261
823 * "Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning"
824 * Christian Szegedy, Sergey Ioffe, Vincent Vanhoucke, Alex Alemi
825 *
Georgios Pinitas588ebc52018-12-21 13:39:07 +0000[diff] [blame]826 * Provenance: download.tensorflow.org/models/inception_v4_2016_09_09.tar.gz
827 *
Georgios Pinitas9f28b392018-07-18 20:01:53 +0100[diff] [blame]828 * @note To list all the possible arguments execute the binary appended with the --help option
829 *
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]830 * @param[in] argc Number of arguments
Georgios Pinitas12be7ab2018-07-03 12:06:23 +0100[diff] [blame]831 * @param[in] argv Arguments
Georgios Pinitas240cfa62018-02-26 19:58:04 +0000[diff] [blame]832 */
833int main(int argc, char **argv)
834{
835 return arm_compute::utils::run_example<InceptionV4Example>(argc, argv);
836}