Sang-Hoon Park | 6800117 | 2020-03-06 16:32:01 +0000 | [diff] [blame] | 1 | /* |
Michele Di Giorgio | d9eaf61 | 2020-07-08 11:12:57 +0100 | [diff] [blame] | 2 | * Copyright (c) 2020 Arm Limited. |
Sang-Hoon Park | 6800117 | 2020-03-06 16:32:01 +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 | */ |
| 24 | |
| 25 | #ifndef ARM_COMPUTE_GRAPH_EDSR_H |
| 26 | #define ARM_COMPUTE_GRAPH_EDSR_H |
| 27 | |
| 28 | #include "arm_compute/graph.h" |
| 29 | |
| 30 | #include "utils/GraphUtils.h" |
| 31 | |
| 32 | class GraphEdsr |
| 33 | { |
| 34 | public: |
| 35 | GraphEdsr() |
| 36 | : _graph(0, "EDSR") |
| 37 | { |
| 38 | } |
| 39 | |
| 40 | bool setup(const arm_compute::utils::CommonGraphParams &common_params, const arm_compute::utils::SimpleOption<std::string> &expected_output_filename) |
| 41 | { |
| 42 | using namespace arm_compute; |
| 43 | using namespace arm_compute::graph; |
| 44 | using namespace arm_compute::utils; |
| 45 | using namespace arm_compute::graph_utils; |
| 46 | |
| 47 | const auto &data_path = common_params.data_path; |
| 48 | const auto &target = common_params.target; |
| 49 | |
| 50 | NodeID id_upscale_net_FakeQuantWithMinMaxVars_transposed = _graph.add_node<ConstNode>( |
| 51 | TensorDescriptor |
| 52 | { |
| 53 | TensorShape{ 12, 2, 2, 3 }, |
| 54 | DataType::QASYMM8, |
| 55 | QuantizationInfo(0.00393533194437623, 1), |
| 56 | DataLayout::NHWC }); |
| 57 | INode *node_upscale_net_FakeQuantWithMinMaxVars_transposed = _graph.node(id_upscale_net_FakeQuantWithMinMaxVars_transposed); |
| 58 | node_upscale_net_FakeQuantWithMinMaxVars_transposed->set_common_node_parameters(NodeParams{ "upscale_net_FakeQuantWithMinMaxVars_transposed", target }); |
| 59 | node_upscale_net_FakeQuantWithMinMaxVars_transposed->output(0)->set_accessor(get_weights_accessor(data_path, |
| 60 | "/cnn_data/edsr_model/upscale_net_FakeQuantWithMinMaxVars_transposed.npy", DataLayout::NHWC)); |
| 61 | |
| 62 | NodeID id_pre_upscale_Conv2D_bias = _graph.add_node<ConstNode>( |
| 63 | TensorDescriptor |
| 64 | { |
| 65 | TensorShape{ 12 }, |
| 66 | DataType::S32, |
| 67 | QuantizationInfo(2.9644968435604824e-06), |
| 68 | DataLayout::NHWC }); |
| 69 | INode *node_pre_upscale_Conv2D_bias = _graph.node(id_pre_upscale_Conv2D_bias); |
| 70 | node_pre_upscale_Conv2D_bias->set_common_node_parameters(NodeParams{ "pre_upscale_Conv2D_bias", target }); |
| 71 | node_pre_upscale_Conv2D_bias->output(0)->set_accessor(get_weights_accessor(data_path, "/cnn_data/edsr_model/pre_upscale_Conv2D_bias.npy", DataLayout::NHWC)); |
| 72 | |
| 73 | NodeID id_pre_upscale_FakeQuantWithMinMaxVars = _graph.add_node<ConstNode>( |
| 74 | TensorDescriptor |
| 75 | { |
| 76 | TensorShape{ 256, 3, 3, 12 }, |
| 77 | DataType::QASYMM8, |
| 78 | QuantizationInfo(0.000455576169770211, 128), |
| 79 | DataLayout::NHWC }); |
| 80 | INode *node_pre_upscale_FakeQuantWithMinMaxVars = _graph.node(id_pre_upscale_FakeQuantWithMinMaxVars); |
| 81 | node_pre_upscale_FakeQuantWithMinMaxVars->set_common_node_parameters(NodeParams{ "pre_upscale_FakeQuantWithMinMaxVars", target }); |
| 82 | node_pre_upscale_FakeQuantWithMinMaxVars->output(0)->set_accessor(get_weights_accessor(data_path, "/cnn_data/edsr_model/pre_upscale_FakeQuantWithMinMaxVars.npy", |
| 83 | DataLayout::NHWC)); |
| 84 | |
| 85 | NodeID id_post_residual_Conv2D_bias = _graph.add_node<ConstNode>( |
| 86 | TensorDescriptor |
| 87 | { |
| 88 | TensorShape{ 256 }, |
| 89 | DataType::S32, |
| 90 | QuantizationInfo(1.2760000345224398e-06), |
| 91 | DataLayout::NHWC }); |
| 92 | INode *node_post_residual_Conv2D_bias = _graph.node(id_post_residual_Conv2D_bias); |
| 93 | node_post_residual_Conv2D_bias->set_common_node_parameters(NodeParams{ "post_residual_Conv2D_bias", target }); |
| 94 | node_post_residual_Conv2D_bias->output(0)->set_accessor(get_weights_accessor(data_path, "/cnn_data/edsr_model/post_residual_Conv2D_bias.npy", DataLayout::NHWC)); |
| 95 | |
| 96 | NodeID id_post_residual_FakeQuantWithMinMaxVars = _graph.add_node<ConstNode>( |
| 97 | TensorDescriptor |
| 98 | { |
| 99 | TensorShape{ 256, 3, 3, 256 }, |
| 100 | DataType::QASYMM8, |
| 101 | QuantizationInfo(0.00036424631252884865, 129), |
| 102 | DataLayout::NHWC }); |
| 103 | INode *node_post_residual_FakeQuantWithMinMaxVars = _graph.node(id_post_residual_FakeQuantWithMinMaxVars); |
| 104 | node_post_residual_FakeQuantWithMinMaxVars->set_common_node_parameters(NodeParams{ "post_residual_FakeQuantWithMinMaxVars", target }); |
| 105 | node_post_residual_FakeQuantWithMinMaxVars->output(0)->set_accessor(get_weights_accessor(data_path, "/cnn_data/edsr_model/post_residual_FakeQuantWithMinMaxVars.npy", |
| 106 | DataLayout::NHWC)); |
| 107 | |
Sang-Hoon Park | 6800117 | 2020-03-06 16:32:01 +0000 | [diff] [blame] | 108 | NodeID id_mul_15_y = _graph.add_node<ConstNode>( |
| 109 | TensorDescriptor |
| 110 | { |
thecha01 | be058f4 | 2020-09-02 16:18:25 +0100 | [diff] [blame] | 111 | TensorShape{ 1 }, |
Sang-Hoon Park | 6800117 | 2020-03-06 16:32:01 +0000 | [diff] [blame] | 112 | DataType::QASYMM8, |
| 113 | QuantizationInfo(0.0003921568568330258), |
| 114 | DataLayout::NHWC }); |
| 115 | INode *node_mul_15_y = _graph.node(id_mul_15_y); |
| 116 | node_mul_15_y->set_common_node_parameters(NodeParams{ "mul_15_y", target }); |
| 117 | node_mul_15_y->output(0)->set_accessor(get_weights_accessor(data_path, "/cnn_data/edsr_model/mul_15_y.npy", DataLayout::NHWC)); |
| 118 | |
| 119 | NodeID id_block_15_1_Conv2D_bias = _graph.add_node<ConstNode>( |
| 120 | TensorDescriptor |
| 121 | { |
| 122 | TensorShape{ 256 }, |
| 123 | DataType::S32, |
| 124 | QuantizationInfo(1.2441644230420934e-06), |
| 125 | DataLayout::NHWC }); |
| 126 | INode *node_block_15_1_Conv2D_bias = _graph.node(id_block_15_1_Conv2D_bias); |
| 127 | node_block_15_1_Conv2D_bias->set_common_node_parameters(NodeParams{ "block_15_1_Conv2D_bias", target }); |
| 128 | node_block_15_1_Conv2D_bias->output(0)->set_accessor(get_weights_accessor(data_path, "/cnn_data/edsr_model/block_15_1_Conv2D_bias.npy", DataLayout::NHWC)); |
| 129 | |
| 130 | NodeID id_block_15_1_FakeQuantWithMinMaxVars = _graph.add_node<ConstNode>( |
| 131 | TensorDescriptor |
| 132 | { |
| 133 | TensorShape{ 256, 3, 3, 256 }, |
| 134 | DataType::QASYMM8, |
| 135 | QuantizationInfo(0.00037038681330159307, 125), |
| 136 | DataLayout::NHWC }); |
| 137 | INode *node_block_15_1_FakeQuantWithMinMaxVars = _graph.node(id_block_15_1_FakeQuantWithMinMaxVars); |
| 138 | node_block_15_1_FakeQuantWithMinMaxVars->set_common_node_parameters(NodeParams{ "block_15_1_FakeQuantWithMinMaxVars", target }); |
| 139 | node_block_15_1_FakeQuantWithMinMaxVars->output(0)->set_accessor(get_weights_accessor(data_path, "/cnn_data/edsr_model/block_15_1_FakeQuantWithMinMaxVars.npy", |
| 140 | DataLayout::NHWC)); |
| 141 | |
| 142 | NodeID id_mul_14_y = _graph.add_node<ConstNode>( |
| 143 | TensorDescriptor |
| 144 | { |
thecha01 | be058f4 | 2020-09-02 16:18:25 +0100 | [diff] [blame] | 145 | TensorShape{ 1 }, |
Sang-Hoon Park | 6800117 | 2020-03-06 16:32:01 +0000 | [diff] [blame] | 146 | DataType::QASYMM8, |
| 147 | QuantizationInfo(0.0003921568568330258), |
| 148 | DataLayout::NHWC }); |
| 149 | INode *node_mul_14_y = _graph.node(id_mul_14_y); |
| 150 | node_mul_14_y->set_common_node_parameters(NodeParams{ "mul_14_y", target }); |
| 151 | node_mul_14_y->output(0)->set_accessor(get_weights_accessor(data_path, "/cnn_data/edsr_model/mul_14_y.npy", DataLayout::NHWC)); |
| 152 | |
| 153 | NodeID id_block_14_1_Conv2D_bias = _graph.add_node<ConstNode>( |
| 154 | TensorDescriptor |
| 155 | { |
| 156 | TensorShape{ 256 }, |
| 157 | DataType::S32, |
| 158 | QuantizationInfo(1.3417260333881131e-06), |
| 159 | DataLayout::NHWC }); |
| 160 | INode *node_block_14_1_Conv2D_bias = _graph.node(id_block_14_1_Conv2D_bias); |
| 161 | node_block_14_1_Conv2D_bias->set_common_node_parameters(NodeParams{ "block_14_1_Conv2D_bias", target }); |
| 162 | node_block_14_1_Conv2D_bias->output(0)->set_accessor(get_weights_accessor(data_path, "/cnn_data/edsr_model/block_14_1_Conv2D_bias.npy", DataLayout::NHWC)); |
| 163 | |
| 164 | NodeID id_block_14_1_FakeQuantWithMinMaxVars = _graph.add_node<ConstNode>( |
| 165 | TensorDescriptor |
| 166 | { |
| 167 | TensorShape{ 256, 3, 3, 256 }, |
| 168 | DataType::QASYMM8, |
| 169 | QuantizationInfo(0.00040307495510205626, 127), |
| 170 | DataLayout::NHWC }); |
| 171 | INode *node_block_14_1_FakeQuantWithMinMaxVars = _graph.node(id_block_14_1_FakeQuantWithMinMaxVars); |
| 172 | node_block_14_1_FakeQuantWithMinMaxVars->set_common_node_parameters(NodeParams{ "block_14_1_FakeQuantWithMinMaxVars", target }); |
| 173 | node_block_14_1_FakeQuantWithMinMaxVars->output(0)->set_accessor(get_weights_accessor(data_path, "/cnn_data/edsr_model/block_14_1_FakeQuantWithMinMaxVars.npy", |
| 174 | DataLayout::NHWC)); |
| 175 | |
| 176 | NodeID id_mul_13_y = _graph.add_node<ConstNode>( |
| 177 | TensorDescriptor |
| 178 | { |
thecha01 | be058f4 | 2020-09-02 16:18:25 +0100 | [diff] [blame] | 179 | TensorShape{ 1 }, |
Sang-Hoon Park | 6800117 | 2020-03-06 16:32:01 +0000 | [diff] [blame] | 180 | DataType::QASYMM8, |
| 181 | QuantizationInfo(0.0003921568568330258), |
| 182 | DataLayout::NHWC }); |
| 183 | INode *node_mul_13_y = _graph.node(id_mul_13_y); |
| 184 | node_mul_13_y->set_common_node_parameters(NodeParams{ "mul_13_y", target }); |
| 185 | node_mul_13_y->output(0)->set_accessor(get_weights_accessor(data_path, "/cnn_data/edsr_model/mul_13_y.npy", DataLayout::NHWC)); |
| 186 | |
| 187 | NodeID id_block_13_1_Conv2D_bias = _graph.add_node<ConstNode>( |
| 188 | TensorDescriptor |
| 189 | { |
| 190 | TensorShape{ 256 }, |
| 191 | DataType::S32, |
| 192 | QuantizationInfo(1.2636977544389083e-06), |
| 193 | DataLayout::NHWC }); |
| 194 | INode *node_block_13_1_Conv2D_bias = _graph.node(id_block_13_1_Conv2D_bias); |
| 195 | node_block_13_1_Conv2D_bias->set_common_node_parameters(NodeParams{ "block_13_1_Conv2D_bias", target }); |
| 196 | node_block_13_1_Conv2D_bias->output(0)->set_accessor(get_weights_accessor(data_path, "/cnn_data/edsr_model/block_13_1_Conv2D_bias.npy", DataLayout::NHWC)); |
| 197 | |
| 198 | NodeID id_block_13_1_FakeQuantWithMinMaxVars = _graph.add_node<ConstNode>( |
| 199 | TensorDescriptor |
| 200 | { |
| 201 | TensorShape{ 256, 3, 3, 256 }, |
| 202 | DataType::QASYMM8, |
| 203 | QuantizationInfo(0.0003858553245663643, 131), |
| 204 | DataLayout::NHWC }); |
| 205 | INode *node_block_13_1_FakeQuantWithMinMaxVars = _graph.node(id_block_13_1_FakeQuantWithMinMaxVars); |
| 206 | node_block_13_1_FakeQuantWithMinMaxVars->set_common_node_parameters(NodeParams{ "block_13_1_FakeQuantWithMinMaxVars", target }); |
| 207 | node_block_13_1_FakeQuantWithMinMaxVars->output(0)->set_accessor(get_weights_accessor(data_path, "/cnn_data/edsr_model/block_13_1_FakeQuantWithMinMaxVars.npy", |
| 208 | DataLayout::NHWC)); |
| 209 | |
| 210 | NodeID id_mul_12_y = _graph.add_node<ConstNode>( |
| 211 | TensorDescriptor |
| 212 | { |
thecha01 | be058f4 | 2020-09-02 16:18:25 +0100 | [diff] [blame] | 213 | TensorShape{ 1 }, |
Sang-Hoon Park | 6800117 | 2020-03-06 16:32:01 +0000 | [diff] [blame] | 214 | DataType::QASYMM8, |
| 215 | QuantizationInfo(0.0003921568568330258), |
| 216 | DataLayout::NHWC }); |
| 217 | INode *node_mul_12_y = _graph.node(id_mul_12_y); |
| 218 | node_mul_12_y->set_common_node_parameters(NodeParams{ "mul_12_y", target }); |
| 219 | node_mul_12_y->output(0)->set_accessor(get_weights_accessor(data_path, "/cnn_data/edsr_model/mul_12_y.npy", DataLayout::NHWC)); |
| 220 | |
| 221 | NodeID id_block_12_1_Conv2D_bias = _graph.add_node<ConstNode>( |
| 222 | TensorDescriptor |
| 223 | { |
| 224 | TensorShape{ 256 }, |
| 225 | DataType::S32, |
| 226 | QuantizationInfo(1.3479783547154511e-06), |
| 227 | DataLayout::NHWC }); |
| 228 | INode *node_block_12_1_Conv2D_bias = _graph.node(id_block_12_1_Conv2D_bias); |
| 229 | node_block_12_1_Conv2D_bias->set_common_node_parameters(NodeParams{ "block_12_1_Conv2D_bias", target }); |
| 230 | node_block_12_1_Conv2D_bias->output(0)->set_accessor(get_weights_accessor(data_path, "/cnn_data/edsr_model/block_12_1_Conv2D_bias.npy", DataLayout::NHWC)); |
| 231 | |
| 232 | NodeID id_block_12_1_FakeQuantWithMinMaxVars = _graph.add_node<ConstNode>( |
| 233 | TensorDescriptor |
| 234 | { |
| 235 | TensorShape{ 256, 3, 3, 256 }, |
| 236 | DataType::QASYMM8, |
| 237 | QuantizationInfo(0.00041212860378436744, 130), |
| 238 | DataLayout::NHWC }); |
| 239 | INode *node_block_12_1_FakeQuantWithMinMaxVars = _graph.node(id_block_12_1_FakeQuantWithMinMaxVars); |
| 240 | node_block_12_1_FakeQuantWithMinMaxVars->set_common_node_parameters(NodeParams{ "block_12_1_FakeQuantWithMinMaxVars", target }); |
| 241 | node_block_12_1_FakeQuantWithMinMaxVars->output(0)->set_accessor(get_weights_accessor(data_path, "/cnn_data/edsr_model/block_12_1_FakeQuantWithMinMaxVars.npy", |
| 242 | DataLayout::NHWC)); |
| 243 | |
| 244 | NodeID id_mul_11_y = _graph.add_node<ConstNode>( |
| 245 | TensorDescriptor |
| 246 | { |
thecha01 | be058f4 | 2020-09-02 16:18:25 +0100 | [diff] [blame] | 247 | TensorShape{ 1 }, |
Sang-Hoon Park | 6800117 | 2020-03-06 16:32:01 +0000 | [diff] [blame] | 248 | DataType::QASYMM8, |
| 249 | QuantizationInfo(0.0003921568568330258), |
| 250 | DataLayout::NHWC }); |
| 251 | INode *node_mul_11_y = _graph.node(id_mul_11_y); |
| 252 | node_mul_11_y->set_common_node_parameters(NodeParams{ "mul_11_y", target }); |
| 253 | node_mul_11_y->output(0)->set_accessor(get_weights_accessor(data_path, "/cnn_data/edsr_model/mul_11_y.npy", DataLayout::NHWC)); |
| 254 | |
| 255 | NodeID id_block_11_1_Conv2D_bias = _graph.add_node<ConstNode>( |
| 256 | TensorDescriptor |
| 257 | { |
| 258 | TensorShape{ 256 }, |
| 259 | DataType::S32, |
| 260 | QuantizationInfo(1.2847248171965475e-06), |
| 261 | DataLayout::NHWC }); |
| 262 | INode *node_block_11_1_Conv2D_bias = _graph.node(id_block_11_1_Conv2D_bias); |
| 263 | node_block_11_1_Conv2D_bias->set_common_node_parameters(NodeParams{ "block_11_1_Conv2D_bias", target }); |
| 264 | node_block_11_1_Conv2D_bias->output(0)->set_accessor(get_weights_accessor(data_path, "/cnn_data/edsr_model/block_11_1_Conv2D_bias.npy", DataLayout::NHWC)); |
| 265 | |
| 266 | NodeID id_block_11_1_FakeQuantWithMinMaxVars = _graph.add_node<ConstNode>( |
| 267 | TensorDescriptor |
| 268 | { |
| 269 | TensorShape{ 256, 3, 3, 256 }, |
| 270 | DataType::QASYMM8, |
| 271 | QuantizationInfo(0.00040296532097272575, 131), |
| 272 | DataLayout::NHWC }); |
| 273 | INode *node_block_11_1_FakeQuantWithMinMaxVars = _graph.node(id_block_11_1_FakeQuantWithMinMaxVars); |
| 274 | node_block_11_1_FakeQuantWithMinMaxVars->set_common_node_parameters(NodeParams{ "block_11_1_FakeQuantWithMinMaxVars", target }); |
| 275 | node_block_11_1_FakeQuantWithMinMaxVars->output(0)->set_accessor(get_weights_accessor(data_path, "/cnn_data/edsr_model/block_11_1_FakeQuantWithMinMaxVars.npy", |
| 276 | DataLayout::NHWC)); |
| 277 | |
| 278 | NodeID id_mul_10_y = _graph.add_node<ConstNode>( |
| 279 | TensorDescriptor |
| 280 | { |
thecha01 | be058f4 | 2020-09-02 16:18:25 +0100 | [diff] [blame] | 281 | TensorShape{ 1 }, |
Sang-Hoon Park | 6800117 | 2020-03-06 16:32:01 +0000 | [diff] [blame] | 282 | DataType::QASYMM8, |
| 283 | QuantizationInfo(0.0003921568568330258), |
| 284 | DataLayout::NHWC }); |
| 285 | INode *node_mul_10_y = _graph.node(id_mul_10_y); |
| 286 | node_mul_10_y->set_common_node_parameters(NodeParams{ "mul_10_y", target }); |
| 287 | node_mul_10_y->output(0)->set_accessor(get_weights_accessor(data_path, "/cnn_data/edsr_model/mul_10_y.npy", DataLayout::NHWC)); |
| 288 | |
| 289 | NodeID id_block_10_1_Conv2D_bias = _graph.add_node<ConstNode>( |
| 290 | TensorDescriptor |
| 291 | { |
| 292 | TensorShape{ 256 }, |
| 293 | DataType::S32, |
| 294 | QuantizationInfo(1.1997129831797793e-06), |
| 295 | DataLayout::NHWC }); |
| 296 | INode *node_block_10_1_Conv2D_bias = _graph.node(id_block_10_1_Conv2D_bias); |
| 297 | node_block_10_1_Conv2D_bias->set_common_node_parameters(NodeParams{ "block_10_1_Conv2D_bias", target }); |
| 298 | node_block_10_1_Conv2D_bias->output(0)->set_accessor(get_weights_accessor(data_path, "/cnn_data/edsr_model/block_10_1_Conv2D_bias.npy", DataLayout::NHWC)); |
| 299 | |
| 300 | NodeID id_block_10_1_FakeQuantWithMinMaxVars = _graph.add_node<ConstNode>( |
| 301 | TensorDescriptor |
| 302 | { |
| 303 | TensorShape{ 256, 3, 3, 256 }, |
| 304 | DataType::QASYMM8, |
| 305 | QuantizationInfo(0.00036640543839894235, 129), |
| 306 | DataLayout::NHWC }); |
| 307 | INode *node_block_10_1_FakeQuantWithMinMaxVars = _graph.node(id_block_10_1_FakeQuantWithMinMaxVars); |
| 308 | node_block_10_1_FakeQuantWithMinMaxVars->set_common_node_parameters(NodeParams{ "block_10_1_FakeQuantWithMinMaxVars", target }); |
| 309 | node_block_10_1_FakeQuantWithMinMaxVars->output(0)->set_accessor(get_weights_accessor(data_path, "/cnn_data/edsr_model/block_10_1_FakeQuantWithMinMaxVars.npy", |
| 310 | DataLayout::NHWC)); |
| 311 | |
| 312 | NodeID id_mul_9_y = _graph.add_node<ConstNode>( |
| 313 | TensorDescriptor |
| 314 | { |
thecha01 | be058f4 | 2020-09-02 16:18:25 +0100 | [diff] [blame] | 315 | TensorShape{ 1 }, |
Sang-Hoon Park | 6800117 | 2020-03-06 16:32:01 +0000 | [diff] [blame] | 316 | DataType::QASYMM8, |
| 317 | QuantizationInfo(0.0003921568568330258), |
| 318 | DataLayout::NHWC }); |
| 319 | INode *node_mul_9_y = _graph.node(id_mul_9_y); |
| 320 | node_mul_9_y->set_common_node_parameters(NodeParams{ "mul_9_y", target }); |
| 321 | node_mul_9_y->output(0)->set_accessor(get_weights_accessor(data_path, "/cnn_data/edsr_model/mul_9_y.npy", DataLayout::NHWC)); |
| 322 | |
| 323 | NodeID id_block_9_1_Conv2D_bias = _graph.add_node<ConstNode>( |
| 324 | TensorDescriptor |
| 325 | { |
| 326 | TensorShape{ 256 }, |
| 327 | DataType::S32, |
| 328 | QuantizationInfo(1.1920226370421005e-06), |
| 329 | DataLayout::NHWC }); |
| 330 | INode *node_block_9_1_Conv2D_bias = _graph.node(id_block_9_1_Conv2D_bias); |
| 331 | node_block_9_1_Conv2D_bias->set_common_node_parameters(NodeParams{ "block_9_1_Conv2D_bias", target }); |
| 332 | node_block_9_1_Conv2D_bias->output(0)->set_accessor(get_weights_accessor(data_path, "/cnn_data/edsr_model/block_9_1_Conv2D_bias.npy", DataLayout::NHWC)); |
| 333 | |
| 334 | NodeID id_block_9_1_FakeQuantWithMinMaxVars = _graph.add_node<ConstNode>( |
| 335 | TensorDescriptor |
| 336 | { |
| 337 | TensorShape{ 256, 3, 3, 256 }, |
| 338 | DataType::QASYMM8, |
| 339 | QuantizationInfo(0.0003706997958943248, 129), |
| 340 | DataLayout::NHWC }); |
| 341 | INode *node_block_9_1_FakeQuantWithMinMaxVars = _graph.node(id_block_9_1_FakeQuantWithMinMaxVars); |
| 342 | node_block_9_1_FakeQuantWithMinMaxVars->set_common_node_parameters(NodeParams{ "block_9_1_FakeQuantWithMinMaxVars", target }); |
| 343 | node_block_9_1_FakeQuantWithMinMaxVars->output(0)->set_accessor(get_weights_accessor(data_path, "/cnn_data/edsr_model/block_9_1_FakeQuantWithMinMaxVars.npy", |
| 344 | DataLayout::NHWC)); |
| 345 | |
| 346 | NodeID id_mul_8_y = _graph.add_node<ConstNode>( |
| 347 | TensorDescriptor |
| 348 | { |
thecha01 | be058f4 | 2020-09-02 16:18:25 +0100 | [diff] [blame] | 349 | TensorShape{ 1 }, |
Sang-Hoon Park | 6800117 | 2020-03-06 16:32:01 +0000 | [diff] [blame] | 350 | DataType::QASYMM8, |
| 351 | QuantizationInfo(0.0003921568568330258), |
| 352 | DataLayout::NHWC }); |
| 353 | INode *node_mul_8_y = _graph.node(id_mul_8_y); |
| 354 | node_mul_8_y->set_common_node_parameters(NodeParams{ "mul_8_y", target }); |
| 355 | node_mul_8_y->output(0)->set_accessor(get_weights_accessor(data_path, "/cnn_data/edsr_model/mul_8_y.npy", DataLayout::NHWC)); |
| 356 | |
| 357 | NodeID id_block_8_1_Conv2D_bias = _graph.add_node<ConstNode>( |
| 358 | TensorDescriptor |
| 359 | { |
| 360 | TensorShape{ 256 }, |
| 361 | DataType::S32, |
| 362 | QuantizationInfo(1.218903321387188e-06), |
| 363 | DataLayout::NHWC }); |
| 364 | INode *node_block_8_1_Conv2D_bias = _graph.node(id_block_8_1_Conv2D_bias); |
| 365 | node_block_8_1_Conv2D_bias->set_common_node_parameters(NodeParams{ "block_8_1_Conv2D_bias", target }); |
| 366 | node_block_8_1_Conv2D_bias->output(0)->set_accessor(get_weights_accessor(data_path, "/cnn_data/edsr_model/block_8_1_Conv2D_bias.npy", DataLayout::NHWC)); |
| 367 | |
| 368 | NodeID id_block_8_1_FakeQuantWithMinMaxVars = _graph.add_node<ConstNode>( |
| 369 | TensorDescriptor |
| 370 | { |
| 371 | TensorShape{ 256, 3, 3, 256 }, |
| 372 | DataType::QASYMM8, |
| 373 | QuantizationInfo(0.00038377835880964994, 127), |
| 374 | DataLayout::NHWC }); |
| 375 | INode *node_block_8_1_FakeQuantWithMinMaxVars = _graph.node(id_block_8_1_FakeQuantWithMinMaxVars); |
| 376 | node_block_8_1_FakeQuantWithMinMaxVars->set_common_node_parameters(NodeParams{ "block_8_1_FakeQuantWithMinMaxVars", target }); |
| 377 | node_block_8_1_FakeQuantWithMinMaxVars->output(0)->set_accessor(get_weights_accessor(data_path, "/cnn_data/edsr_model/block_8_1_FakeQuantWithMinMaxVars.npy", |
| 378 | DataLayout::NHWC)); |
| 379 | |
| 380 | NodeID id_mul_7_y = _graph.add_node<ConstNode>( |
| 381 | TensorDescriptor |
| 382 | { |
thecha01 | be058f4 | 2020-09-02 16:18:25 +0100 | [diff] [blame] | 383 | TensorShape{ 1 }, |
Sang-Hoon Park | 6800117 | 2020-03-06 16:32:01 +0000 | [diff] [blame] | 384 | DataType::QASYMM8, |
| 385 | QuantizationInfo(0.0003921568568330258), |
| 386 | DataLayout::NHWC }); |
| 387 | INode *node_mul_7_y = _graph.node(id_mul_7_y); |
| 388 | node_mul_7_y->set_common_node_parameters(NodeParams{ "mul_7_y", target }); |
| 389 | node_mul_7_y->output(0)->set_accessor(get_weights_accessor(data_path, "/cnn_data/edsr_model/mul_7_y.npy", DataLayout::NHWC)); |
| 390 | |
| 391 | NodeID id_block_7_1_Conv2D_bias = _graph.add_node<ConstNode>( |
| 392 | TensorDescriptor |
| 393 | { |
| 394 | TensorShape{ 256 }, |
| 395 | DataType::S32, |
| 396 | QuantizationInfo(1.257252392861119e-06), |
| 397 | DataLayout::NHWC }); |
| 398 | INode *node_block_7_1_Conv2D_bias = _graph.node(id_block_7_1_Conv2D_bias); |
| 399 | node_block_7_1_Conv2D_bias->set_common_node_parameters(NodeParams{ "block_7_1_Conv2D_bias", target }); |
| 400 | node_block_7_1_Conv2D_bias->output(0)->set_accessor(get_weights_accessor(data_path, "/cnn_data/edsr_model/block_7_1_Conv2D_bias.npy", DataLayout::NHWC)); |
| 401 | |
| 402 | NodeID id_block_7_1_FakeQuantWithMinMaxVars = _graph.add_node<ConstNode>( |
| 403 | TensorDescriptor |
| 404 | { |
| 405 | TensorShape{ 256, 3, 3, 256 }, |
| 406 | DataType::QASYMM8, |
| 407 | QuantizationInfo(0.00039844686398282647, 129), |
| 408 | DataLayout::NHWC }); |
| 409 | INode *node_block_7_1_FakeQuantWithMinMaxVars = _graph.node(id_block_7_1_FakeQuantWithMinMaxVars); |
| 410 | node_block_7_1_FakeQuantWithMinMaxVars->set_common_node_parameters(NodeParams{ "block_7_1_FakeQuantWithMinMaxVars", target }); |
| 411 | node_block_7_1_FakeQuantWithMinMaxVars->output(0)->set_accessor(get_weights_accessor(data_path, "/cnn_data/edsr_model/block_7_1_FakeQuantWithMinMaxVars.npy", |
| 412 | DataLayout::NHWC)); |
| 413 | |
| 414 | NodeID id_mul_6_y = _graph.add_node<ConstNode>( |
| 415 | TensorDescriptor |
| 416 | { |
thecha01 | be058f4 | 2020-09-02 16:18:25 +0100 | [diff] [blame] | 417 | TensorShape{ 1 }, |
Sang-Hoon Park | 6800117 | 2020-03-06 16:32:01 +0000 | [diff] [blame] | 418 | DataType::QASYMM8, |
| 419 | QuantizationInfo(0.0003921568568330258), |
| 420 | DataLayout::NHWC }); |
| 421 | INode *node_mul_6_y = _graph.node(id_mul_6_y); |
| 422 | node_mul_6_y->set_common_node_parameters(NodeParams{ "mul_6_y", target }); |
| 423 | node_mul_6_y->output(0)->set_accessor(get_weights_accessor(data_path, "/cnn_data/edsr_model/mul_6_y.npy", DataLayout::NHWC)); |
| 424 | |
| 425 | NodeID id_block_6_1_Conv2D_bias = _graph.add_node<ConstNode>( |
| 426 | TensorDescriptor |
| 427 | { |
| 428 | TensorShape{ 256 }, |
| 429 | DataType::S32, |
| 430 | QuantizationInfo(1.244850636794581e-06), |
| 431 | DataLayout::NHWC }); |
| 432 | INode *node_block_6_1_Conv2D_bias = _graph.node(id_block_6_1_Conv2D_bias); |
| 433 | node_block_6_1_Conv2D_bias->set_common_node_parameters(NodeParams{ "block_6_1_Conv2D_bias", target }); |
| 434 | node_block_6_1_Conv2D_bias->output(0)->set_accessor(get_weights_accessor(data_path, "/cnn_data/edsr_model/block_6_1_Conv2D_bias.npy", DataLayout::NHWC)); |
| 435 | |
| 436 | NodeID id_block_6_1_FakeQuantWithMinMaxVars = _graph.add_node<ConstNode>( |
| 437 | TensorDescriptor |
| 438 | { |
| 439 | TensorShape{ 256, 3, 3, 256 }, |
| 440 | DataType::QASYMM8, |
| 441 | QuantizationInfo(0.00040187727427110076, 132), |
| 442 | DataLayout::NHWC }); |
| 443 | INode *node_block_6_1_FakeQuantWithMinMaxVars = _graph.node(id_block_6_1_FakeQuantWithMinMaxVars); |
| 444 | node_block_6_1_FakeQuantWithMinMaxVars->set_common_node_parameters(NodeParams{ "block_6_1_FakeQuantWithMinMaxVars", target }); |
| 445 | node_block_6_1_FakeQuantWithMinMaxVars->output(0)->set_accessor(get_weights_accessor(data_path, "/cnn_data/edsr_model/block_6_1_FakeQuantWithMinMaxVars.npy", |
| 446 | DataLayout::NHWC)); |
| 447 | |
| 448 | NodeID id_mul_5_y = _graph.add_node<ConstNode>( |
| 449 | TensorDescriptor |
| 450 | { |
thecha01 | be058f4 | 2020-09-02 16:18:25 +0100 | [diff] [blame] | 451 | TensorShape{ 1 }, |
Sang-Hoon Park | 6800117 | 2020-03-06 16:32:01 +0000 | [diff] [blame] | 452 | DataType::QASYMM8, |
| 453 | QuantizationInfo(0.0003921568568330258), |
| 454 | DataLayout::NHWC }); |
| 455 | INode *node_mul_5_y = _graph.node(id_mul_5_y); |
| 456 | node_mul_5_y->set_common_node_parameters(NodeParams{ "mul_5_y", target }); |
| 457 | node_mul_5_y->output(0)->set_accessor(get_weights_accessor(data_path, "/cnn_data/edsr_model/mul_5_y.npy", DataLayout::NHWC)); |
| 458 | |
| 459 | NodeID id_block_5_1_Conv2D_bias = _graph.add_node<ConstNode>( |
| 460 | TensorDescriptor |
| 461 | { |
| 462 | TensorShape{ 256 }, |
| 463 | DataType::S32, |
| 464 | QuantizationInfo(1.241092718373693e-06), |
| 465 | DataLayout::NHWC }); |
| 466 | INode *node_block_5_1_Conv2D_bias = _graph.node(id_block_5_1_Conv2D_bias); |
| 467 | node_block_5_1_Conv2D_bias->set_common_node_parameters(NodeParams{ "block_5_1_Conv2D_bias", target }); |
| 468 | node_block_5_1_Conv2D_bias->output(0)->set_accessor(get_weights_accessor(data_path, "/cnn_data/edsr_model/block_5_1_Conv2D_bias.npy", DataLayout::NHWC)); |
| 469 | |
| 470 | NodeID id_block_5_1_FakeQuantWithMinMaxVars = _graph.add_node<ConstNode>( |
| 471 | TensorDescriptor |
| 472 | { |
| 473 | TensorShape{ 256, 3, 3, 256 }, |
| 474 | DataType::QASYMM8, |
| 475 | QuantizationInfo(0.0003938926674891263, 129), |
| 476 | DataLayout::NHWC }); |
| 477 | INode *node_block_5_1_FakeQuantWithMinMaxVars = _graph.node(id_block_5_1_FakeQuantWithMinMaxVars); |
| 478 | node_block_5_1_FakeQuantWithMinMaxVars->set_common_node_parameters(NodeParams{ "block_5_1_FakeQuantWithMinMaxVars", target }); |
| 479 | node_block_5_1_FakeQuantWithMinMaxVars->output(0)->set_accessor(get_weights_accessor(data_path, "/cnn_data/edsr_model/block_5_1_FakeQuantWithMinMaxVars.npy", |
| 480 | DataLayout::NHWC)); |
| 481 | |
| 482 | NodeID id_mul_4_y = _graph.add_node<ConstNode>( |
| 483 | TensorDescriptor |
| 484 | { |
thecha01 | be058f4 | 2020-09-02 16:18:25 +0100 | [diff] [blame] | 485 | TensorShape{ 1 }, |
Sang-Hoon Park | 6800117 | 2020-03-06 16:32:01 +0000 | [diff] [blame] | 486 | DataType::QASYMM8, |
| 487 | QuantizationInfo(0.0003921568568330258), |
| 488 | DataLayout::NHWC }); |
| 489 | INode *node_mul_4_y = _graph.node(id_mul_4_y); |
| 490 | node_mul_4_y->set_common_node_parameters(NodeParams{ "mul_4_y", target }); |
| 491 | node_mul_4_y->output(0)->set_accessor(get_weights_accessor(data_path, "/cnn_data/edsr_model/mul_4_y.npy", DataLayout::NHWC)); |
| 492 | |
| 493 | NodeID id_block_4_1_Conv2D_bias = _graph.add_node<ConstNode>( |
| 494 | TensorDescriptor |
| 495 | { |
| 496 | TensorShape{ 256 }, |
| 497 | DataType::S32, |
| 498 | QuantizationInfo(1.1748390988941537e-06), |
| 499 | DataLayout::NHWC }); |
| 500 | INode *node_block_4_1_Conv2D_bias = _graph.node(id_block_4_1_Conv2D_bias); |
| 501 | node_block_4_1_Conv2D_bias->set_common_node_parameters(NodeParams{ "block_4_1_Conv2D_bias", target }); |
| 502 | node_block_4_1_Conv2D_bias->output(0)->set_accessor(get_weights_accessor(data_path, "/cnn_data/edsr_model/block_4_1_Conv2D_bias.npy", DataLayout::NHWC)); |
| 503 | |
| 504 | NodeID id_block_4_1_FakeQuantWithMinMaxVars = _graph.add_node<ConstNode>( |
| 505 | TensorDescriptor |
| 506 | { |
| 507 | TensorShape{ 256, 3, 3, 256 }, |
| 508 | DataType::QASYMM8, |
| 509 | QuantizationInfo(0.0003788181929849088, 129), |
| 510 | DataLayout::NHWC }); |
| 511 | INode *node_block_4_1_FakeQuantWithMinMaxVars = _graph.node(id_block_4_1_FakeQuantWithMinMaxVars); |
| 512 | node_block_4_1_FakeQuantWithMinMaxVars->set_common_node_parameters(NodeParams{ "block_4_1_FakeQuantWithMinMaxVars", target }); |
| 513 | node_block_4_1_FakeQuantWithMinMaxVars->output(0)->set_accessor(get_weights_accessor(data_path, "/cnn_data/edsr_model/block_4_1_FakeQuantWithMinMaxVars.npy", |
| 514 | DataLayout::NHWC)); |
| 515 | |
| 516 | NodeID id_mul_3_y = _graph.add_node<ConstNode>( |
| 517 | TensorDescriptor |
| 518 | { |
thecha01 | be058f4 | 2020-09-02 16:18:25 +0100 | [diff] [blame] | 519 | TensorShape{ 1 }, |
Sang-Hoon Park | 6800117 | 2020-03-06 16:32:01 +0000 | [diff] [blame] | 520 | DataType::QASYMM8, |
| 521 | QuantizationInfo(0.0003921568568330258), |
| 522 | DataLayout::NHWC }); |
| 523 | INode *node_mul_3_y = _graph.node(id_mul_3_y); |
| 524 | node_mul_3_y->set_common_node_parameters(NodeParams{ "mul_3_y", target }); |
| 525 | node_mul_3_y->output(0)->set_accessor(get_weights_accessor(data_path, "/cnn_data/edsr_model/mul_3_y.npy", DataLayout::NHWC)); |
| 526 | |
| 527 | NodeID id_block_3_1_Conv2D_bias = _graph.add_node<ConstNode>( |
| 528 | TensorDescriptor |
| 529 | { |
| 530 | TensorShape{ 256 }, |
| 531 | DataType::S32, |
| 532 | QuantizationInfo(1.1937011095142225e-06), |
| 533 | DataLayout::NHWC }); |
| 534 | INode *node_block_3_1_Conv2D_bias = _graph.node(id_block_3_1_Conv2D_bias); |
| 535 | node_block_3_1_Conv2D_bias->set_common_node_parameters(NodeParams{ "block_3_1_Conv2D_bias", target }); |
| 536 | node_block_3_1_Conv2D_bias->output(0)->set_accessor(get_weights_accessor(data_path, "/cnn_data/edsr_model/block_3_1_Conv2D_bias.npy", DataLayout::NHWC)); |
| 537 | |
| 538 | NodeID id_block_3_1_FakeQuantWithMinMaxVars = _graph.add_node<ConstNode>( |
| 539 | TensorDescriptor |
| 540 | { |
| 541 | TensorShape{ 256, 3, 3, 256 }, |
| 542 | DataType::QASYMM8, |
| 543 | QuantizationInfo(0.0003944312920793891, 129), |
| 544 | DataLayout::NHWC }); |
| 545 | INode *node_block_3_1_FakeQuantWithMinMaxVars = _graph.node(id_block_3_1_FakeQuantWithMinMaxVars); |
| 546 | node_block_3_1_FakeQuantWithMinMaxVars->set_common_node_parameters(NodeParams{ "block_3_1_FakeQuantWithMinMaxVars", target }); |
| 547 | node_block_3_1_FakeQuantWithMinMaxVars->output(0)->set_accessor(get_weights_accessor(data_path, "/cnn_data/edsr_model/block_3_1_FakeQuantWithMinMaxVars.npy", |
| 548 | DataLayout::NHWC)); |
| 549 | |
| 550 | NodeID id_mul_2_y = _graph.add_node<ConstNode>( |
| 551 | TensorDescriptor |
| 552 | { |
thecha01 | be058f4 | 2020-09-02 16:18:25 +0100 | [diff] [blame] | 553 | TensorShape{ 1 }, |
Sang-Hoon Park | 6800117 | 2020-03-06 16:32:01 +0000 | [diff] [blame] | 554 | DataType::QASYMM8, |
| 555 | QuantizationInfo(0.0003921568568330258), |
| 556 | DataLayout::NHWC }); |
| 557 | INode *node_mul_2_y = _graph.node(id_mul_2_y); |
| 558 | node_mul_2_y->set_common_node_parameters(NodeParams{ "mul_2_y", target }); |
| 559 | node_mul_2_y->output(0)->set_accessor(get_weights_accessor(data_path, "/cnn_data/edsr_model/mul_2_y.npy", DataLayout::NHWC)); |
| 560 | |
| 561 | NodeID id_block_2_1_Conv2D_bias = _graph.add_node<ConstNode>( |
| 562 | TensorDescriptor |
| 563 | { |
| 564 | TensorShape{ 256 }, |
| 565 | DataType::S32, |
| 566 | QuantizationInfo(1.1634580232566805e-06), |
| 567 | DataLayout::NHWC }); |
| 568 | INode *node_block_2_1_Conv2D_bias = _graph.node(id_block_2_1_Conv2D_bias); |
| 569 | node_block_2_1_Conv2D_bias->set_common_node_parameters(NodeParams{ "block_2_1_Conv2D_bias", target }); |
| 570 | node_block_2_1_Conv2D_bias->output(0)->set_accessor(get_weights_accessor(data_path, "/cnn_data/edsr_model/block_2_1_Conv2D_bias.npy", DataLayout::NHWC)); |
| 571 | |
| 572 | NodeID id_block_2_1_FakeQuantWithMinMaxVars = _graph.add_node<ConstNode>( |
| 573 | TensorDescriptor |
| 574 | { |
| 575 | TensorShape{ 256, 3, 3, 256 }, |
| 576 | DataType::QASYMM8, |
| 577 | QuantizationInfo(0.0003789655165746808, 132), |
| 578 | DataLayout::NHWC }); |
| 579 | INode *node_block_2_1_FakeQuantWithMinMaxVars = _graph.node(id_block_2_1_FakeQuantWithMinMaxVars); |
| 580 | node_block_2_1_FakeQuantWithMinMaxVars->set_common_node_parameters(NodeParams{ "block_2_1_FakeQuantWithMinMaxVars", target }); |
| 581 | node_block_2_1_FakeQuantWithMinMaxVars->output(0)->set_accessor(get_weights_accessor(data_path, "/cnn_data/edsr_model/block_2_1_FakeQuantWithMinMaxVars.npy", |
| 582 | DataLayout::NHWC)); |
| 583 | |
| 584 | NodeID id_mul_1_y = _graph.add_node<ConstNode>( |
| 585 | TensorDescriptor |
| 586 | { |
thecha01 | be058f4 | 2020-09-02 16:18:25 +0100 | [diff] [blame] | 587 | TensorShape{ 1 }, |
Sang-Hoon Park | 6800117 | 2020-03-06 16:32:01 +0000 | [diff] [blame] | 588 | DataType::QASYMM8, |
| 589 | QuantizationInfo(0.0003921568568330258), |
| 590 | DataLayout::NHWC }); |
| 591 | INode *node_mul_1_y = _graph.node(id_mul_1_y); |
| 592 | node_mul_1_y->set_common_node_parameters(NodeParams{ "mul_1_y", target }); |
| 593 | node_mul_1_y->output(0)->set_accessor(get_weights_accessor(data_path, "/cnn_data/edsr_model/mul_1_y.npy", DataLayout::NHWC)); |
| 594 | |
| 595 | NodeID id_block_1_1_Conv2D_bias = _graph.add_node<ConstNode>( |
| 596 | TensorDescriptor |
| 597 | { |
| 598 | TensorShape{ 256 }, |
| 599 | DataType::S32, |
| 600 | QuantizationInfo(1.197920255435747e-06), |
| 601 | DataLayout::NHWC }); |
| 602 | INode *node_block_1_1_Conv2D_bias = _graph.node(id_block_1_1_Conv2D_bias); |
| 603 | node_block_1_1_Conv2D_bias->set_common_node_parameters(NodeParams{ "block_1_1_Conv2D_bias", target }); |
| 604 | node_block_1_1_Conv2D_bias->output(0)->set_accessor(get_weights_accessor(data_path, "/cnn_data/edsr_model/block_1_1_Conv2D_bias.npy", DataLayout::NHWC)); |
| 605 | |
| 606 | NodeID id_block_1_1_FakeQuantWithMinMaxVars = _graph.add_node<ConstNode>( |
| 607 | TensorDescriptor |
| 608 | { |
| 609 | TensorShape{ 256, 3, 3, 256 }, |
| 610 | DataType::QASYMM8, |
| 611 | QuantizationInfo(0.00038527738070115447, 132), |
| 612 | DataLayout::NHWC }); |
| 613 | INode *node_block_1_1_FakeQuantWithMinMaxVars = _graph.node(id_block_1_1_FakeQuantWithMinMaxVars); |
| 614 | node_block_1_1_FakeQuantWithMinMaxVars->set_common_node_parameters(NodeParams{ "block_1_1_FakeQuantWithMinMaxVars", target }); |
| 615 | node_block_1_1_FakeQuantWithMinMaxVars->output(0)->set_accessor(get_weights_accessor(data_path, "/cnn_data/edsr_model/block_1_1_FakeQuantWithMinMaxVars.npy", |
| 616 | DataLayout::NHWC)); |
| 617 | |
| 618 | NodeID id_mul_y = _graph.add_node<ConstNode>( |
| 619 | TensorDescriptor |
| 620 | { |
thecha01 | be058f4 | 2020-09-02 16:18:25 +0100 | [diff] [blame] | 621 | TensorShape{ 1 }, |
Sang-Hoon Park | 6800117 | 2020-03-06 16:32:01 +0000 | [diff] [blame] | 622 | DataType::QASYMM8, |
| 623 | QuantizationInfo(0.0003921568568330258), |
| 624 | DataLayout::NHWC }); |
| 625 | INode *node_mul_y = _graph.node(id_mul_y); |
| 626 | node_mul_y->set_common_node_parameters(NodeParams{ "mul_y", target }); |
| 627 | node_mul_y->output(0)->set_accessor(get_weights_accessor(data_path, "/cnn_data/edsr_model/mul_y.npy", DataLayout::NHWC)); |
| 628 | |
| 629 | NodeID id_block_0_1_Conv2D_bias = _graph.add_node<ConstNode>( |
| 630 | TensorDescriptor |
| 631 | { |
| 632 | TensorShape{ 256 }, |
| 633 | DataType::S32, |
| 634 | QuantizationInfo(1.315485519626236e-06), |
| 635 | DataLayout::NHWC }); |
| 636 | INode *node_block_0_1_Conv2D_bias = _graph.node(id_block_0_1_Conv2D_bias); |
| 637 | node_block_0_1_Conv2D_bias->set_common_node_parameters(NodeParams{ "block_0_1_Conv2D_bias", target }); |
| 638 | node_block_0_1_Conv2D_bias->output(0)->set_accessor(get_weights_accessor(data_path, "/cnn_data/edsr_model/block_0_1_Conv2D_bias.npy", DataLayout::NHWC)); |
| 639 | |
| 640 | NodeID id_block_0_1_FakeQuantWithMinMaxVars = _graph.add_node<ConstNode>( |
| 641 | TensorDescriptor |
| 642 | { |
| 643 | TensorShape{ 256, 3, 3, 256 }, |
| 644 | DataType::QASYMM8, |
| 645 | QuantizationInfo(0.00039420535904355347, 129), |
| 646 | DataLayout::NHWC }); |
| 647 | INode *node_block_0_1_FakeQuantWithMinMaxVars = _graph.node(id_block_0_1_FakeQuantWithMinMaxVars); |
| 648 | node_block_0_1_FakeQuantWithMinMaxVars->set_common_node_parameters(NodeParams{ "block_0_1_FakeQuantWithMinMaxVars", target }); |
| 649 | node_block_0_1_FakeQuantWithMinMaxVars->output(0)->set_accessor(get_weights_accessor(data_path, "/cnn_data/edsr_model/block_0_1_FakeQuantWithMinMaxVars.npy", |
| 650 | DataLayout::NHWC)); |
| 651 | |
| 652 | NodeID id_pre_residual_Conv2D_bias = _graph.add_node<ConstNode>( |
| 653 | TensorDescriptor |
| 654 | { |
| 655 | TensorShape{ 256 }, |
| 656 | DataType::S32, |
| 657 | QuantizationInfo(1.7214160834555514e-06), |
| 658 | DataLayout::NHWC }); |
| 659 | INode *node_pre_residual_Conv2D_bias = _graph.node(id_pre_residual_Conv2D_bias); |
| 660 | node_pre_residual_Conv2D_bias->set_common_node_parameters(NodeParams{ "pre_residual_Conv2D_bias", target }); |
| 661 | node_pre_residual_Conv2D_bias->output(0)->set_accessor(get_weights_accessor(data_path, "/cnn_data/edsr_model/pre_residual_Conv2D_bias.npy", DataLayout::NHWC)); |
| 662 | |
| 663 | NodeID id_pre_residual_FakeQuantWithMinMaxVars = _graph.add_node<ConstNode>( |
| 664 | TensorDescriptor |
| 665 | { |
| 666 | TensorShape{ 3, 3, 3, 256 }, |
| 667 | DataType::QASYMM8, |
| 668 | QuantizationInfo(0.0004389610840007663, 127), |
| 669 | DataLayout::NHWC }); |
| 670 | INode *node_pre_residual_FakeQuantWithMinMaxVars = _graph.node(id_pre_residual_FakeQuantWithMinMaxVars); |
| 671 | node_pre_residual_FakeQuantWithMinMaxVars->set_common_node_parameters(NodeParams{ "pre_residual_FakeQuantWithMinMaxVars", target }); |
| 672 | node_pre_residual_FakeQuantWithMinMaxVars->output(0)->set_accessor(get_weights_accessor(data_path, "/cnn_data/edsr_model/pre_residual_FakeQuantWithMinMaxVars.npy", |
| 673 | DataLayout::NHWC)); |
| 674 | |
| 675 | TensorShape input_shape{}; |
| 676 | input_shape.set(0, 3, false).set(1, 360, false).set(2, 640, false).set(3, 1, false); |
| 677 | |
| 678 | NodeID id_input = _graph.add_node<InputNode>( |
| 679 | TensorDescriptor |
| 680 | { |
| 681 | input_shape, |
| 682 | DataType::QASYMM8, |
| 683 | QuantizationInfo(0.003921568859368563), |
| 684 | DataLayout::NHWC }); |
| 685 | INode *node_input = _graph.node(id_input); |
| 686 | node_input->set_common_node_parameters(NodeParams{ "input", target }); |
| 687 | node_input->output(0)->set_accessor(get_input_accessor(common_params)); |
| 688 | |
| 689 | NodeID id_pre_residual_BiasAdd = _graph.add_node<ConvolutionLayerNode>( |
| 690 | PadStrideInfo |
| 691 | { |
| 692 | 1, 1, |
| 693 | 1, 1, |
| 694 | 1, 1, |
| 695 | DimensionRoundingType::FLOOR }, |
| 696 | 1, |
| 697 | arm_compute::graph::ConvolutionMethod::Default, |
| 698 | FastMathHint::Disabled, |
| 699 | QuantizationInfo(0.0033370566088706255, 96)); |
| 700 | INode *node_pre_residual_BiasAdd = _graph.node(id_pre_residual_BiasAdd); |
| 701 | node_pre_residual_BiasAdd->set_common_node_parameters(NodeParams{ "pre_residual_BiasAdd", target }); |
| 702 | _graph.add_connection(id_input, 0, id_pre_residual_BiasAdd, 0); |
| 703 | _graph.add_connection(id_pre_residual_FakeQuantWithMinMaxVars, 0, id_pre_residual_BiasAdd, 1); |
| 704 | _graph.add_connection(id_pre_residual_Conv2D_bias, 0, id_pre_residual_BiasAdd, 2); |
| 705 | |
| 706 | NodeID id_block_0_1_BiasAdd = _graph.add_node<ConvolutionLayerNode>( |
| 707 | PadStrideInfo |
| 708 | { |
| 709 | 1, 1, |
| 710 | 1, 1, |
| 711 | 1, 1, |
| 712 | DimensionRoundingType::FLOOR }, |
| 713 | 1, |
| 714 | arm_compute::graph::ConvolutionMethod::Default, |
| 715 | FastMathHint::Disabled, |
| 716 | QuantizationInfo(0.007344874087721109, 185)); |
| 717 | INode *node_block_0_1_BiasAdd = _graph.node(id_block_0_1_BiasAdd); |
| 718 | node_block_0_1_BiasAdd->set_common_node_parameters(NodeParams{ "block_0_1_BiasAdd", target }); |
| 719 | _graph.add_connection(id_pre_residual_BiasAdd, 0, id_block_0_1_BiasAdd, 0); |
| 720 | _graph.add_connection(id_block_0_1_FakeQuantWithMinMaxVars, 0, id_block_0_1_BiasAdd, 1); |
| 721 | _graph.add_connection(id_block_0_1_Conv2D_bias, 0, id_block_0_1_BiasAdd, 2); |
| 722 | |
| 723 | NodeID id_mul = _graph.add_node<EltwiseLayerNode>( |
Sang-Hoon Park | 797b76b | 2020-03-11 23:21:14 +0000 | [diff] [blame] | 724 | descriptors::EltwiseLayerDescriptor{ EltwiseOperation::Mul, QuantizationInfo{ 0.0006341293919831514, 174 } }); |
Sang-Hoon Park | 6800117 | 2020-03-06 16:32:01 +0000 | [diff] [blame] | 725 | INode *node_mul = _graph.node(id_mul); |
| 726 | node_mul->set_common_node_parameters(NodeParams{ "mul", target }); |
| 727 | _graph.add_connection(id_block_0_1_BiasAdd, 0, id_mul, 0); |
| 728 | _graph.add_connection(id_mul_y, 0, id_mul, 1); |
| 729 | |
| 730 | NodeID id_add = _graph.add_node<EltwiseLayerNode>( |
Sang-Hoon Park | 797b76b | 2020-03-11 23:21:14 +0000 | [diff] [blame] | 731 | descriptors::EltwiseLayerDescriptor{ EltwiseOperation::Add, QuantizationInfo{ 0.0031092411372810602, 95 } }); |
Sang-Hoon Park | 6800117 | 2020-03-06 16:32:01 +0000 | [diff] [blame] | 732 | INode *node_add = _graph.node(id_add); |
| 733 | node_add->set_common_node_parameters(NodeParams{ "add", target }); |
| 734 | _graph.add_connection(id_pre_residual_BiasAdd, 0, id_add, 0); |
| 735 | _graph.add_connection(id_mul, 0, id_add, 1); |
| 736 | |
| 737 | NodeID id_block_1_1_BiasAdd = _graph.add_node<ConvolutionLayerNode>( |
| 738 | PadStrideInfo |
| 739 | { |
| 740 | 1, 1, |
| 741 | 1, 1, |
| 742 | 1, 1, |
| 743 | DimensionRoundingType::FLOOR }, |
| 744 | 1, |
| 745 | arm_compute::graph::ConvolutionMethod::Default, |
| 746 | FastMathHint::Disabled, |
| 747 | QuantizationInfo(0.005333727691322565, 117)); |
| 748 | INode *node_block_1_1_BiasAdd = _graph.node(id_block_1_1_BiasAdd); |
| 749 | node_block_1_1_BiasAdd->set_common_node_parameters(NodeParams{ "block_1_1_BiasAdd", target }); |
| 750 | _graph.add_connection(id_add, 0, id_block_1_1_BiasAdd, 0); |
| 751 | _graph.add_connection(id_block_1_1_FakeQuantWithMinMaxVars, 0, id_block_1_1_BiasAdd, 1); |
| 752 | _graph.add_connection(id_block_1_1_Conv2D_bias, 0, id_block_1_1_BiasAdd, 2); |
| 753 | |
| 754 | NodeID id_mul_1 = _graph.add_node<EltwiseLayerNode>( |
Sang-Hoon Park | 797b76b | 2020-03-11 23:21:14 +0000 | [diff] [blame] | 755 | descriptors::EltwiseLayerDescriptor{ EltwiseOperation::Mul, QuantizationInfo{ 0.0004965941770933568, 122 } }); |
Sang-Hoon Park | 6800117 | 2020-03-06 16:32:01 +0000 | [diff] [blame] | 756 | INode *node_mul_1 = _graph.node(id_mul_1); |
| 757 | node_mul_1->set_common_node_parameters(NodeParams{ "mul_1", target }); |
| 758 | _graph.add_connection(id_block_1_1_BiasAdd, 0, id_mul_1, 0); |
| 759 | _graph.add_connection(id_mul_1_y, 0, id_mul_1, 1); |
| 760 | |
| 761 | NodeID id_add_1 = _graph.add_node<EltwiseLayerNode>( |
Sang-Hoon Park | 797b76b | 2020-03-11 23:21:14 +0000 | [diff] [blame] | 762 | descriptors::EltwiseLayerDescriptor{ EltwiseOperation::Add, QuantizationInfo{ 0.0030700892675668, 96 } }); |
Sang-Hoon Park | 6800117 | 2020-03-06 16:32:01 +0000 | [diff] [blame] | 763 | INode *node_add_1 = _graph.node(id_add_1); |
| 764 | node_add_1->set_common_node_parameters(NodeParams{ "add_1", target }); |
| 765 | _graph.add_connection(id_add, 0, id_add_1, 0); |
| 766 | _graph.add_connection(id_mul_1, 0, id_add_1, 1); |
| 767 | |
| 768 | NodeID id_block_2_1_BiasAdd = _graph.add_node<ConvolutionLayerNode>( |
| 769 | PadStrideInfo |
| 770 | { |
| 771 | 1, 1, |
| 772 | 1, 1, |
| 773 | 1, 1, |
| 774 | DimensionRoundingType::FLOOR }, |
| 775 | 1, |
| 776 | arm_compute::graph::ConvolutionMethod::Default, |
| 777 | FastMathHint::Disabled, |
| 778 | QuantizationInfo(0.004199742339551449, 132)); |
| 779 | INode *node_block_2_1_BiasAdd = _graph.node(id_block_2_1_BiasAdd); |
| 780 | node_block_2_1_BiasAdd->set_common_node_parameters(NodeParams{ "block_2_1_BiasAdd", target }); |
| 781 | _graph.add_connection(id_add_1, 0, id_block_2_1_BiasAdd, 0); |
| 782 | _graph.add_connection(id_block_2_1_FakeQuantWithMinMaxVars, 0, id_block_2_1_BiasAdd, 1); |
| 783 | _graph.add_connection(id_block_2_1_Conv2D_bias, 0, id_block_2_1_BiasAdd, 2); |
| 784 | |
| 785 | NodeID id_mul_2 = _graph.add_node<EltwiseLayerNode>( |
Sang-Hoon Park | 797b76b | 2020-03-11 23:21:14 +0000 | [diff] [blame] | 786 | descriptors::EltwiseLayerDescriptor{ EltwiseOperation::Mul, QuantizationInfo{ 0.0004133903712499887, 130 } }); |
Sang-Hoon Park | 6800117 | 2020-03-06 16:32:01 +0000 | [diff] [blame] | 787 | INode *node_mul_2 = _graph.node(id_mul_2); |
| 788 | node_mul_2->set_common_node_parameters(NodeParams{ "mul_2", target }); |
| 789 | _graph.add_connection(id_block_2_1_BiasAdd, 0, id_mul_2, 0); |
| 790 | _graph.add_connection(id_mul_2_y, 0, id_mul_2, 1); |
| 791 | |
| 792 | NodeID id_add_2 = _graph.add_node<EltwiseLayerNode>( |
Sang-Hoon Park | 797b76b | 2020-03-11 23:21:14 +0000 | [diff] [blame] | 793 | descriptors::EltwiseLayerDescriptor{ EltwiseOperation::Add, QuantizationInfo{ 0.003026385325938463, 94 } }); |
Sang-Hoon Park | 6800117 | 2020-03-06 16:32:01 +0000 | [diff] [blame] | 794 | INode *node_add_2 = _graph.node(id_add_2); |
| 795 | node_add_2->set_common_node_parameters(NodeParams{ "add_2", target }); |
| 796 | _graph.add_connection(id_add_1, 0, id_add_2, 0); |
| 797 | _graph.add_connection(id_mul_2, 0, id_add_2, 1); |
| 798 | |
| 799 | NodeID id_block_3_1_BiasAdd = _graph.add_node<ConvolutionLayerNode>( |
| 800 | PadStrideInfo |
| 801 | { |
| 802 | 1, 1, |
| 803 | 1, 1, |
| 804 | 1, 1, |
| 805 | DimensionRoundingType::FLOOR }, |
| 806 | 1, |
| 807 | arm_compute::graph::ConvolutionMethod::Default, |
| 808 | FastMathHint::Disabled, |
| 809 | QuantizationInfo(0.003977528307586908, 142)); |
| 810 | INode *node_block_3_1_BiasAdd = _graph.node(id_block_3_1_BiasAdd); |
| 811 | node_block_3_1_BiasAdd->set_common_node_parameters(NodeParams{ "block_3_1_BiasAdd", target }); |
| 812 | _graph.add_connection(id_add_2, 0, id_block_3_1_BiasAdd, 0); |
| 813 | _graph.add_connection(id_block_3_1_FakeQuantWithMinMaxVars, 0, id_block_3_1_BiasAdd, 1); |
| 814 | _graph.add_connection(id_block_3_1_Conv2D_bias, 0, id_block_3_1_BiasAdd, 2); |
| 815 | |
| 816 | NodeID id_mul_3 = _graph.add_node<EltwiseLayerNode>( |
Sang-Hoon Park | 797b76b | 2020-03-11 23:21:14 +0000 | [diff] [blame] | 817 | descriptors::EltwiseLayerDescriptor{ EltwiseOperation::Mul, QuantizationInfo{ 0.0003943995980080217, 141 } }); |
Sang-Hoon Park | 6800117 | 2020-03-06 16:32:01 +0000 | [diff] [blame] | 818 | INode *node_mul_3 = _graph.node(id_mul_3); |
| 819 | node_mul_3->set_common_node_parameters(NodeParams{ "mul_3", target }); |
| 820 | _graph.add_connection(id_block_3_1_BiasAdd, 0, id_mul_3, 0); |
| 821 | _graph.add_connection(id_mul_3_y, 0, id_mul_3, 1); |
| 822 | |
| 823 | NodeID id_add_3 = _graph.add_node<EltwiseLayerNode>( |
Sang-Hoon Park | 797b76b | 2020-03-11 23:21:14 +0000 | [diff] [blame] | 824 | descriptors::EltwiseLayerDescriptor{ EltwiseOperation::Add, QuantizationInfo{ 0.003101327223703265, 98 } }); |
Sang-Hoon Park | 6800117 | 2020-03-06 16:32:01 +0000 | [diff] [blame] | 825 | INode *node_add_3 = _graph.node(id_add_3); |
| 826 | node_add_3->set_common_node_parameters(NodeParams{ "add_3", target }); |
| 827 | _graph.add_connection(id_add_2, 0, id_add_3, 0); |
| 828 | _graph.add_connection(id_mul_3, 0, id_add_3, 1); |
| 829 | |
| 830 | NodeID id_block_4_1_BiasAdd = _graph.add_node<ConvolutionLayerNode>( |
| 831 | PadStrideInfo |
| 832 | { |
| 833 | 1, 1, |
| 834 | 1, 1, |
| 835 | 1, 1, |
| 836 | DimensionRoundingType::FLOOR }, |
| 837 | 1, |
| 838 | arm_compute::graph::ConvolutionMethod::Default, |
| 839 | FastMathHint::Disabled, |
| 840 | QuantizationInfo(0.0045388080179691315, 146)); |
| 841 | INode *node_block_4_1_BiasAdd = _graph.node(id_block_4_1_BiasAdd); |
| 842 | node_block_4_1_BiasAdd->set_common_node_parameters(NodeParams{ "block_4_1_BiasAdd", target }); |
| 843 | _graph.add_connection(id_add_3, 0, id_block_4_1_BiasAdd, 0); |
| 844 | _graph.add_connection(id_block_4_1_FakeQuantWithMinMaxVars, 0, id_block_4_1_BiasAdd, 1); |
| 845 | _graph.add_connection(id_block_4_1_Conv2D_bias, 0, id_block_4_1_BiasAdd, 2); |
| 846 | |
| 847 | NodeID id_mul_4 = _graph.add_node<EltwiseLayerNode>( |
Sang-Hoon Park | 797b76b | 2020-03-11 23:21:14 +0000 | [diff] [blame] | 848 | descriptors::EltwiseLayerDescriptor{ EltwiseOperation::Mul, QuantizationInfo{ 0.00044342130422592163, 143 } }); |
Sang-Hoon Park | 6800117 | 2020-03-06 16:32:01 +0000 | [diff] [blame] | 849 | INode *node_mul_4 = _graph.node(id_mul_4); |
| 850 | node_mul_4->set_common_node_parameters(NodeParams{ "mul_4", target }); |
| 851 | _graph.add_connection(id_block_4_1_BiasAdd, 0, id_mul_4, 0); |
| 852 | _graph.add_connection(id_mul_4_y, 0, id_mul_4, 1); |
| 853 | |
| 854 | NodeID id_add_4 = _graph.add_node<EltwiseLayerNode>( |
Sang-Hoon Park | 797b76b | 2020-03-11 23:21:14 +0000 | [diff] [blame] | 855 | descriptors::EltwiseLayerDescriptor{ EltwiseOperation::Add, QuantizationInfo{ 0.003150839824229479, 98 } }); |
Sang-Hoon Park | 6800117 | 2020-03-06 16:32:01 +0000 | [diff] [blame] | 856 | INode *node_add_4 = _graph.node(id_add_4); |
| 857 | node_add_4->set_common_node_parameters(NodeParams{ "add_4", target }); |
| 858 | _graph.add_connection(id_add_3, 0, id_add_4, 0); |
| 859 | _graph.add_connection(id_mul_4, 0, id_add_4, 1); |
| 860 | |
| 861 | NodeID id_block_5_1_BiasAdd = _graph.add_node<ConvolutionLayerNode>( |
| 862 | PadStrideInfo |
| 863 | { |
| 864 | 1, 1, |
| 865 | 1, 1, |
| 866 | 1, 1, |
| 867 | DimensionRoundingType::FLOOR }, |
| 868 | 1, |
| 869 | arm_compute::graph::ConvolutionMethod::Default, |
| 870 | FastMathHint::Disabled, |
| 871 | QuantizationInfo(0.00402890844270587, 132)); |
| 872 | INode *node_block_5_1_BiasAdd = _graph.node(id_block_5_1_BiasAdd); |
| 873 | node_block_5_1_BiasAdd->set_common_node_parameters(NodeParams{ "block_5_1_BiasAdd", target }); |
| 874 | _graph.add_connection(id_add_4, 0, id_block_5_1_BiasAdd, 0); |
| 875 | _graph.add_connection(id_block_5_1_FakeQuantWithMinMaxVars, 0, id_block_5_1_BiasAdd, 1); |
| 876 | _graph.add_connection(id_block_5_1_Conv2D_bias, 0, id_block_5_1_BiasAdd, 2); |
| 877 | |
| 878 | NodeID id_mul_5 = _graph.add_node<EltwiseLayerNode>( |
Sang-Hoon Park | 797b76b | 2020-03-11 23:21:14 +0000 | [diff] [blame] | 879 | descriptors::EltwiseLayerDescriptor{ EltwiseOperation::Mul, QuantizationInfo{ 0.0004023382789455354, 132 } }); |
Sang-Hoon Park | 6800117 | 2020-03-06 16:32:01 +0000 | [diff] [blame] | 880 | INode *node_mul_5 = _graph.node(id_mul_5); |
| 881 | node_mul_5->set_common_node_parameters(NodeParams{ "mul_5", target }); |
| 882 | _graph.add_connection(id_block_5_1_BiasAdd, 0, id_mul_5, 0); |
| 883 | _graph.add_connection(id_mul_5_y, 0, id_mul_5, 1); |
| 884 | |
| 885 | NodeID id_add_5 = _graph.add_node<EltwiseLayerNode>( |
Sang-Hoon Park | 797b76b | 2020-03-11 23:21:14 +0000 | [diff] [blame] | 886 | descriptors::EltwiseLayerDescriptor{ EltwiseOperation::Add, QuantizationInfo{ 0.0030975888948887587, 94 } }); |
Sang-Hoon Park | 6800117 | 2020-03-06 16:32:01 +0000 | [diff] [blame] | 887 | INode *node_add_5 = _graph.node(id_add_5); |
| 888 | node_add_5->set_common_node_parameters(NodeParams{ "add_5", target }); |
| 889 | _graph.add_connection(id_add_4, 0, id_add_5, 0); |
| 890 | _graph.add_connection(id_mul_5, 0, id_add_5, 1); |
| 891 | |
| 892 | NodeID id_block_6_1_BiasAdd = _graph.add_node<ConvolutionLayerNode>( |
| 893 | PadStrideInfo |
| 894 | { |
| 895 | 1, 1, |
| 896 | 1, 1, |
| 897 | 1, 1, |
| 898 | DimensionRoundingType::FLOOR }, |
| 899 | 1, |
| 900 | arm_compute::graph::ConvolutionMethod::Default, |
| 901 | FastMathHint::Disabled, |
| 902 | QuantizationInfo(0.00421866774559021, 125)); |
| 903 | INode *node_block_6_1_BiasAdd = _graph.node(id_block_6_1_BiasAdd); |
| 904 | node_block_6_1_BiasAdd->set_common_node_parameters(NodeParams{ "block_6_1_BiasAdd", target }); |
| 905 | _graph.add_connection(id_add_5, 0, id_block_6_1_BiasAdd, 0); |
| 906 | _graph.add_connection(id_block_6_1_FakeQuantWithMinMaxVars, 0, id_block_6_1_BiasAdd, 1); |
| 907 | _graph.add_connection(id_block_6_1_Conv2D_bias, 0, id_block_6_1_BiasAdd, 2); |
| 908 | |
| 909 | NodeID id_mul_6 = _graph.add_node<EltwiseLayerNode>( |
Sang-Hoon Park | 797b76b | 2020-03-11 23:21:14 +0000 | [diff] [blame] | 910 | descriptors::EltwiseLayerDescriptor{ EltwiseOperation::Mul, QuantizationInfo{ 0.00041950203012675047, 125 } }); |
Sang-Hoon Park | 6800117 | 2020-03-06 16:32:01 +0000 | [diff] [blame] | 911 | INode *node_mul_6 = _graph.node(id_mul_6); |
| 912 | node_mul_6->set_common_node_parameters(NodeParams{ "mul_6", target }); |
| 913 | _graph.add_connection(id_block_6_1_BiasAdd, 0, id_mul_6, 0); |
| 914 | _graph.add_connection(id_mul_6_y, 0, id_mul_6, 1); |
| 915 | |
| 916 | NodeID id_add_6 = _graph.add_node<EltwiseLayerNode>( |
Sang-Hoon Park | 797b76b | 2020-03-11 23:21:14 +0000 | [diff] [blame] | 917 | descriptors::EltwiseLayerDescriptor{ EltwiseOperation::Add, QuantizationInfo{ 0.003155382815748453, 92 } }); |
Sang-Hoon Park | 6800117 | 2020-03-06 16:32:01 +0000 | [diff] [blame] | 918 | INode *node_add_6 = _graph.node(id_add_6); |
| 919 | node_add_6->set_common_node_parameters(NodeParams{ "add_6", target }); |
| 920 | _graph.add_connection(id_add_5, 0, id_add_6, 0); |
| 921 | _graph.add_connection(id_mul_6, 0, id_add_6, 1); |
| 922 | |
| 923 | NodeID id_block_7_1_BiasAdd = _graph.add_node<ConvolutionLayerNode>( |
| 924 | PadStrideInfo |
| 925 | { |
| 926 | 1, 1, |
| 927 | 1, 1, |
| 928 | 1, 1, |
| 929 | DimensionRoundingType::FLOOR }, |
| 930 | 1, |
| 931 | arm_compute::graph::ConvolutionMethod::Default, |
| 932 | FastMathHint::Disabled, |
| 933 | QuantizationInfo(0.004250136204063892, 143)); |
| 934 | INode *node_block_7_1_BiasAdd = _graph.node(id_block_7_1_BiasAdd); |
| 935 | node_block_7_1_BiasAdd->set_common_node_parameters(NodeParams{ "block_7_1_BiasAdd", target }); |
| 936 | _graph.add_connection(id_add_6, 0, id_block_7_1_BiasAdd, 0); |
| 937 | _graph.add_connection(id_block_7_1_FakeQuantWithMinMaxVars, 0, id_block_7_1_BiasAdd, 1); |
| 938 | _graph.add_connection(id_block_7_1_Conv2D_bias, 0, id_block_7_1_BiasAdd, 2); |
| 939 | |
| 940 | NodeID id_mul_7 = _graph.add_node<EltwiseLayerNode>( |
Sang-Hoon Park | 797b76b | 2020-03-11 23:21:14 +0000 | [diff] [blame] | 941 | descriptors::EltwiseLayerDescriptor{ EltwiseOperation::Mul, QuantizationInfo{ 0.00042401350219734013, 142 } }); |
Sang-Hoon Park | 6800117 | 2020-03-06 16:32:01 +0000 | [diff] [blame] | 942 | INode *node_mul_7 = _graph.node(id_mul_7); |
| 943 | node_mul_7->set_common_node_parameters(NodeParams{ "mul_7", target }); |
| 944 | _graph.add_connection(id_block_7_1_BiasAdd, 0, id_mul_7, 0); |
| 945 | _graph.add_connection(id_mul_7_y, 0, id_mul_7, 1); |
| 946 | |
| 947 | NodeID id_add_7 = _graph.add_node<EltwiseLayerNode>( |
Sang-Hoon Park | 797b76b | 2020-03-11 23:21:14 +0000 | [diff] [blame] | 948 | descriptors::EltwiseLayerDescriptor{ EltwiseOperation::Add, QuantizationInfo{ 0.0031760605052113533, 86 } }); |
Sang-Hoon Park | 6800117 | 2020-03-06 16:32:01 +0000 | [diff] [blame] | 949 | INode *node_add_7 = _graph.node(id_add_7); |
| 950 | node_add_7->set_common_node_parameters(NodeParams{ "add_7", target }); |
| 951 | _graph.add_connection(id_add_6, 0, id_add_7, 0); |
| 952 | _graph.add_connection(id_mul_7, 0, id_add_7, 1); |
| 953 | |
| 954 | NodeID id_block_8_1_BiasAdd = _graph.add_node<ConvolutionLayerNode>( |
| 955 | PadStrideInfo |
| 956 | { |
| 957 | 1, 1, |
| 958 | 1, 1, |
| 959 | 1, 1, |
| 960 | DimensionRoundingType::FLOOR }, |
| 961 | 1, |
| 962 | arm_compute::graph::ConvolutionMethod::Default, |
| 963 | FastMathHint::Disabled, |
| 964 | QuantizationInfo(0.004277155734598637, 123)); |
| 965 | INode *node_block_8_1_BiasAdd = _graph.node(id_block_8_1_BiasAdd); |
| 966 | node_block_8_1_BiasAdd->set_common_node_parameters(NodeParams{ "block_8_1_BiasAdd", target }); |
| 967 | _graph.add_connection(id_add_7, 0, id_block_8_1_BiasAdd, 0); |
| 968 | _graph.add_connection(id_block_8_1_FakeQuantWithMinMaxVars, 0, id_block_8_1_BiasAdd, 1); |
| 969 | _graph.add_connection(id_block_8_1_Conv2D_bias, 0, id_block_8_1_BiasAdd, 2); |
| 970 | |
| 971 | NodeID id_mul_8 = _graph.add_node<EltwiseLayerNode>( |
Sang-Hoon Park | 797b76b | 2020-03-11 23:21:14 +0000 | [diff] [blame] | 972 | descriptors::EltwiseLayerDescriptor{ EltwiseOperation::Mul, QuantizationInfo{ 0.00042673019925132394, 123 } }); |
Sang-Hoon Park | 6800117 | 2020-03-06 16:32:01 +0000 | [diff] [blame] | 973 | INode *node_mul_8 = _graph.node(id_mul_8); |
| 974 | node_mul_8->set_common_node_parameters(NodeParams{ "mul_8", target }); |
| 975 | _graph.add_connection(id_block_8_1_BiasAdd, 0, id_mul_8, 0); |
| 976 | _graph.add_connection(id_mul_8_y, 0, id_mul_8, 1); |
| 977 | |
| 978 | NodeID id_add_8 = _graph.add_node<EltwiseLayerNode>( |
Sang-Hoon Park | 797b76b | 2020-03-11 23:21:14 +0000 | [diff] [blame] | 979 | descriptors::EltwiseLayerDescriptor{ EltwiseOperation::Add, QuantizationInfo{ 0.0032156009692698717, 86 } }); |
Sang-Hoon Park | 6800117 | 2020-03-06 16:32:01 +0000 | [diff] [blame] | 980 | INode *node_add_8 = _graph.node(id_add_8); |
| 981 | node_add_8->set_common_node_parameters(NodeParams{ "add_8", target }); |
| 982 | _graph.add_connection(id_add_7, 0, id_add_8, 0); |
| 983 | _graph.add_connection(id_mul_8, 0, id_add_8, 1); |
| 984 | |
| 985 | NodeID id_block_9_1_BiasAdd = _graph.add_node<ConvolutionLayerNode>( |
| 986 | PadStrideInfo |
| 987 | { |
| 988 | 1, 1, |
| 989 | 1, 1, |
| 990 | 1, 1, |
| 991 | DimensionRoundingType::FLOOR }, |
| 992 | 1, |
| 993 | arm_compute::graph::ConvolutionMethod::Default, |
| 994 | FastMathHint::Disabled, |
| 995 | QuantizationInfo(0.00445037754252553, 129)); |
| 996 | INode *node_block_9_1_BiasAdd = _graph.node(id_block_9_1_BiasAdd); |
| 997 | node_block_9_1_BiasAdd->set_common_node_parameters(NodeParams{ "block_9_1_BiasAdd", target }); |
| 998 | _graph.add_connection(id_add_8, 0, id_block_9_1_BiasAdd, 0); |
| 999 | _graph.add_connection(id_block_9_1_FakeQuantWithMinMaxVars, 0, id_block_9_1_BiasAdd, 1); |
| 1000 | _graph.add_connection(id_block_9_1_Conv2D_bias, 0, id_block_9_1_BiasAdd, 2); |
| 1001 | |
| 1002 | NodeID id_mul_9 = _graph.add_node<EltwiseLayerNode>( |
Sang-Hoon Park | 797b76b | 2020-03-11 23:21:14 +0000 | [diff] [blame] | 1003 | descriptors::EltwiseLayerDescriptor{ EltwiseOperation::Mul, QuantizationInfo{ 0.0004448975087143481, 129 } }); |
Sang-Hoon Park | 6800117 | 2020-03-06 16:32:01 +0000 | [diff] [blame] | 1004 | INode *node_mul_9 = _graph.node(id_mul_9); |
| 1005 | node_mul_9->set_common_node_parameters(NodeParams{ "mul_9", target }); |
| 1006 | _graph.add_connection(id_block_9_1_BiasAdd, 0, id_mul_9, 0); |
| 1007 | _graph.add_connection(id_mul_9_y, 0, id_mul_9, 1); |
| 1008 | |
| 1009 | NodeID id_add_9 = _graph.add_node<EltwiseLayerNode>( |
Sang-Hoon Park | 797b76b | 2020-03-11 23:21:14 +0000 | [diff] [blame] | 1010 | descriptors::EltwiseLayerDescriptor{ EltwiseOperation::Add, QuantizationInfo{ 0.0032742770854383707, 80 } }); |
Sang-Hoon Park | 6800117 | 2020-03-06 16:32:01 +0000 | [diff] [blame] | 1011 | INode *node_add_9 = _graph.node(id_add_9); |
| 1012 | node_add_9->set_common_node_parameters(NodeParams{ "add_9", target }); |
| 1013 | _graph.add_connection(id_add_8, 0, id_add_9, 0); |
| 1014 | _graph.add_connection(id_mul_9, 0, id_add_9, 1); |
| 1015 | |
| 1016 | NodeID id_block_10_1_BiasAdd = _graph.add_node<ConvolutionLayerNode>( |
| 1017 | PadStrideInfo |
| 1018 | { |
| 1019 | 1, 1, |
| 1020 | 1, 1, |
| 1021 | 1, 1, |
| 1022 | DimensionRoundingType::FLOOR }, |
| 1023 | 1, |
| 1024 | arm_compute::graph::ConvolutionMethod::Default, |
| 1025 | FastMathHint::Disabled, |
| 1026 | QuantizationInfo(0.003614710411056876, 131)); |
| 1027 | INode *node_block_10_1_BiasAdd = _graph.node(id_block_10_1_BiasAdd); |
| 1028 | node_block_10_1_BiasAdd->set_common_node_parameters(NodeParams{ "block_10_1_BiasAdd", target }); |
| 1029 | _graph.add_connection(id_add_9, 0, id_block_10_1_BiasAdd, 0); |
| 1030 | _graph.add_connection(id_block_10_1_FakeQuantWithMinMaxVars, 0, id_block_10_1_BiasAdd, 1); |
| 1031 | _graph.add_connection(id_block_10_1_Conv2D_bias, 0, id_block_10_1_BiasAdd, 2); |
| 1032 | |
| 1033 | NodeID id_mul_10 = _graph.add_node<EltwiseLayerNode>( |
Sang-Hoon Park | 797b76b | 2020-03-11 23:21:14 +0000 | [diff] [blame] | 1034 | descriptors::EltwiseLayerDescriptor{ EltwiseOperation::Mul, QuantizationInfo{ 0.00036083892337046564, 130 } }); |
Sang-Hoon Park | 6800117 | 2020-03-06 16:32:01 +0000 | [diff] [blame] | 1035 | INode *node_mul_10 = _graph.node(id_mul_10); |
| 1036 | node_mul_10->set_common_node_parameters(NodeParams{ "mul_10", target }); |
| 1037 | _graph.add_connection(id_block_10_1_BiasAdd, 0, id_mul_10, 0); |
| 1038 | _graph.add_connection(id_mul_10_y, 0, id_mul_10, 1); |
| 1039 | |
| 1040 | NodeID id_add_10 = _graph.add_node<EltwiseLayerNode>( |
Sang-Hoon Park | 797b76b | 2020-03-11 23:21:14 +0000 | [diff] [blame] | 1041 | descriptors::EltwiseLayerDescriptor{ EltwiseOperation::Add, QuantizationInfo{ 0.0031881770119071007, 81 } }); |
Sang-Hoon Park | 6800117 | 2020-03-06 16:32:01 +0000 | [diff] [blame] | 1042 | INode *node_add_10 = _graph.node(id_add_10); |
| 1043 | node_add_10->set_common_node_parameters(NodeParams{ "add_10", target }); |
| 1044 | _graph.add_connection(id_add_9, 0, id_add_10, 0); |
| 1045 | _graph.add_connection(id_mul_10, 0, id_add_10, 1); |
| 1046 | |
| 1047 | NodeID id_block_11_1_BiasAdd = _graph.add_node<ConvolutionLayerNode>( |
| 1048 | PadStrideInfo |
| 1049 | { |
| 1050 | 1, 1, |
| 1051 | 1, 1, |
| 1052 | 1, 1, |
| 1053 | DimensionRoundingType::FLOOR }, |
| 1054 | 1, |
| 1055 | arm_compute::graph::ConvolutionMethod::Default, |
| 1056 | FastMathHint::Disabled, |
| 1057 | QuantizationInfo(0.003969002980738878, 133)); |
| 1058 | INode *node_block_11_1_BiasAdd = _graph.node(id_block_11_1_BiasAdd); |
| 1059 | node_block_11_1_BiasAdd->set_common_node_parameters(NodeParams{ "block_11_1_BiasAdd", target }); |
| 1060 | _graph.add_connection(id_add_10, 0, id_block_11_1_BiasAdd, 0); |
| 1061 | _graph.add_connection(id_block_11_1_FakeQuantWithMinMaxVars, 0, id_block_11_1_BiasAdd, 1); |
| 1062 | _graph.add_connection(id_block_11_1_Conv2D_bias, 0, id_block_11_1_BiasAdd, 2); |
| 1063 | |
| 1064 | NodeID id_mul_11 = _graph.add_node<EltwiseLayerNode>( |
Sang-Hoon Park | 797b76b | 2020-03-11 23:21:14 +0000 | [diff] [blame] | 1065 | descriptors::EltwiseLayerDescriptor{ EltwiseOperation::Mul, QuantizationInfo{ 0.0003968806122429669, 133 } }); |
Sang-Hoon Park | 6800117 | 2020-03-06 16:32:01 +0000 | [diff] [blame] | 1066 | INode *node_mul_11 = _graph.node(id_mul_11); |
| 1067 | node_mul_11->set_common_node_parameters(NodeParams{ "mul_11", target }); |
| 1068 | _graph.add_connection(id_block_11_1_BiasAdd, 0, id_mul_11, 0); |
| 1069 | _graph.add_connection(id_mul_11_y, 0, id_mul_11, 1); |
| 1070 | |
| 1071 | NodeID id_add_11 = _graph.add_node<EltwiseLayerNode>( |
Sang-Hoon Park | 797b76b | 2020-03-11 23:21:14 +0000 | [diff] [blame] | 1072 | descriptors::EltwiseLayerDescriptor{ EltwiseOperation::Add, QuantizationInfo{ 0.0032707711216062307, 80 } }); |
Sang-Hoon Park | 6800117 | 2020-03-06 16:32:01 +0000 | [diff] [blame] | 1073 | INode *node_add_11 = _graph.node(id_add_11); |
| 1074 | node_add_11->set_common_node_parameters(NodeParams{ "add_11", target }); |
| 1075 | _graph.add_connection(id_add_10, 0, id_add_11, 0); |
| 1076 | _graph.add_connection(id_mul_11, 0, id_add_11, 1); |
| 1077 | |
| 1078 | NodeID id_block_12_1_BiasAdd = _graph.add_node<ConvolutionLayerNode>( |
| 1079 | PadStrideInfo |
| 1080 | { |
| 1081 | 1, 1, |
| 1082 | 1, 1, |
| 1083 | 1, 1, |
| 1084 | DimensionRoundingType::FLOOR }, |
| 1085 | 1, |
| 1086 | arm_compute::graph::ConvolutionMethod::Default, |
| 1087 | FastMathHint::Disabled, |
| 1088 | QuantizationInfo(0.004366801120340824, 110)); |
| 1089 | INode *node_block_12_1_BiasAdd = _graph.node(id_block_12_1_BiasAdd); |
| 1090 | node_block_12_1_BiasAdd->set_common_node_parameters(NodeParams{ "block_12_1_BiasAdd", target }); |
| 1091 | _graph.add_connection(id_add_11, 0, id_block_12_1_BiasAdd, 0); |
| 1092 | _graph.add_connection(id_block_12_1_FakeQuantWithMinMaxVars, 0, id_block_12_1_BiasAdd, 1); |
| 1093 | _graph.add_connection(id_block_12_1_Conv2D_bias, 0, id_block_12_1_BiasAdd, 2); |
| 1094 | |
| 1095 | NodeID id_mul_12 = _graph.add_node<EltwiseLayerNode>( |
Sang-Hoon Park | 797b76b | 2020-03-11 23:21:14 +0000 | [diff] [blame] | 1096 | descriptors::EltwiseLayerDescriptor{ EltwiseOperation::Mul, QuantizationInfo{ 0.0004365936329122633, 110 } }); |
Sang-Hoon Park | 6800117 | 2020-03-06 16:32:01 +0000 | [diff] [blame] | 1097 | INode *node_mul_12 = _graph.node(id_mul_12); |
| 1098 | node_mul_12->set_common_node_parameters(NodeParams{ "mul_12", target }); |
| 1099 | _graph.add_connection(id_block_12_1_BiasAdd, 0, id_mul_12, 0); |
| 1100 | _graph.add_connection(id_mul_12_y, 0, id_mul_12, 1); |
| 1101 | |
| 1102 | NodeID id_add_12 = _graph.add_node<EltwiseLayerNode>( |
Sang-Hoon Park | 797b76b | 2020-03-11 23:21:14 +0000 | [diff] [blame] | 1103 | descriptors::EltwiseLayerDescriptor{ EltwiseOperation::Add, QuantizationInfo{ 0.003275055903941393, 79 } }); |
Sang-Hoon Park | 6800117 | 2020-03-06 16:32:01 +0000 | [diff] [blame] | 1104 | INode *node_add_12 = _graph.node(id_add_12); |
| 1105 | node_add_12->set_common_node_parameters(NodeParams{ "add_12", target }); |
| 1106 | _graph.add_connection(id_add_11, 0, id_add_12, 0); |
| 1107 | _graph.add_connection(id_mul_12, 0, id_add_12, 1); |
| 1108 | |
| 1109 | NodeID id_block_13_1_BiasAdd = _graph.add_node<ConvolutionLayerNode>( |
| 1110 | PadStrideInfo |
| 1111 | { |
| 1112 | 1, 1, |
| 1113 | 1, 1, |
| 1114 | 1, 1, |
| 1115 | DimensionRoundingType::FLOOR }, |
| 1116 | 1, |
| 1117 | arm_compute::graph::ConvolutionMethod::Default, |
| 1118 | FastMathHint::Disabled, |
| 1119 | QuantizationInfo(0.004386766813695431, 139)); |
| 1120 | INode *node_block_13_1_BiasAdd = _graph.node(id_block_13_1_BiasAdd); |
| 1121 | node_block_13_1_BiasAdd->set_common_node_parameters(NodeParams{ "block_13_1_BiasAdd", target }); |
| 1122 | _graph.add_connection(id_add_12, 0, id_block_13_1_BiasAdd, 0); |
| 1123 | _graph.add_connection(id_block_13_1_FakeQuantWithMinMaxVars, 0, id_block_13_1_BiasAdd, 1); |
| 1124 | _graph.add_connection(id_block_13_1_Conv2D_bias, 0, id_block_13_1_BiasAdd, 2); |
| 1125 | |
| 1126 | NodeID id_mul_13 = _graph.add_node<EltwiseLayerNode>( |
Sang-Hoon Park | 797b76b | 2020-03-11 23:21:14 +0000 | [diff] [blame] | 1127 | descriptors::EltwiseLayerDescriptor{ EltwiseOperation::Mul, QuantizationInfo{ 0.0004385628562886268, 139 } }); |
Sang-Hoon Park | 6800117 | 2020-03-06 16:32:01 +0000 | [diff] [blame] | 1128 | INode *node_mul_13 = _graph.node(id_mul_13); |
| 1129 | node_mul_13->set_common_node_parameters(NodeParams{ "mul_13", target }); |
| 1130 | _graph.add_connection(id_block_13_1_BiasAdd, 0, id_mul_13, 0); |
| 1131 | _graph.add_connection(id_mul_13_y, 0, id_mul_13, 1); |
| 1132 | |
| 1133 | NodeID id_add_13 = _graph.add_node<EltwiseLayerNode>( |
Sang-Hoon Park | 797b76b | 2020-03-11 23:21:14 +0000 | [diff] [blame] | 1134 | descriptors::EltwiseLayerDescriptor{ EltwiseOperation::Add, QuantizationInfo{ 0.0033287261612713337, 78 } }); |
Sang-Hoon Park | 6800117 | 2020-03-06 16:32:01 +0000 | [diff] [blame] | 1135 | INode *node_add_13 = _graph.node(id_add_13); |
| 1136 | node_add_13->set_common_node_parameters(NodeParams{ "add_13", target }); |
| 1137 | _graph.add_connection(id_add_12, 0, id_add_13, 0); |
| 1138 | _graph.add_connection(id_mul_13, 0, id_add_13, 1); |
| 1139 | |
| 1140 | NodeID id_block_14_1_BiasAdd = _graph.add_node<ConvolutionLayerNode>( |
| 1141 | PadStrideInfo |
| 1142 | { |
| 1143 | 1, 1, |
| 1144 | 1, 1, |
| 1145 | 1, 1, |
| 1146 | DimensionRoundingType::FLOOR }, |
| 1147 | 1, |
| 1148 | arm_compute::graph::ConvolutionMethod::Default, |
| 1149 | FastMathHint::Disabled, |
| 1150 | QuantizationInfo(0.0038069337606430054, 130)); |
| 1151 | INode *node_block_14_1_BiasAdd = _graph.node(id_block_14_1_BiasAdd); |
| 1152 | node_block_14_1_BiasAdd->set_common_node_parameters(NodeParams{ "block_14_1_BiasAdd", target }); |
| 1153 | _graph.add_connection(id_add_13, 0, id_block_14_1_BiasAdd, 0); |
| 1154 | _graph.add_connection(id_block_14_1_FakeQuantWithMinMaxVars, 0, id_block_14_1_BiasAdd, 1); |
| 1155 | _graph.add_connection(id_block_14_1_Conv2D_bias, 0, id_block_14_1_BiasAdd, 2); |
| 1156 | |
| 1157 | NodeID id_mul_14 = _graph.add_node<EltwiseLayerNode>( |
Sang-Hoon Park | 797b76b | 2020-03-11 23:21:14 +0000 | [diff] [blame] | 1158 | descriptors::EltwiseLayerDescriptor{ EltwiseOperation::Mul, QuantizationInfo{ 0.00037829321809113026, 130 } }); |
Sang-Hoon Park | 6800117 | 2020-03-06 16:32:01 +0000 | [diff] [blame] | 1159 | INode *node_mul_14 = _graph.node(id_mul_14); |
| 1160 | node_mul_14->set_common_node_parameters(NodeParams{ "mul_14", target }); |
| 1161 | _graph.add_connection(id_block_14_1_BiasAdd, 0, id_mul_14, 0); |
| 1162 | _graph.add_connection(id_mul_14_y, 0, id_mul_14, 1); |
| 1163 | |
| 1164 | NodeID id_add_14 = _graph.add_node<EltwiseLayerNode>( |
Sang-Hoon Park | 797b76b | 2020-03-11 23:21:14 +0000 | [diff] [blame] | 1165 | descriptors::EltwiseLayerDescriptor{ EltwiseOperation::Add, QuantizationInfo{ 0.0033590947277843952, 77 } }); |
Sang-Hoon Park | 6800117 | 2020-03-06 16:32:01 +0000 | [diff] [blame] | 1166 | INode *node_add_14 = _graph.node(id_add_14); |
| 1167 | node_add_14->set_common_node_parameters(NodeParams{ "add_14", target }); |
| 1168 | _graph.add_connection(id_add_13, 0, id_add_14, 0); |
| 1169 | _graph.add_connection(id_mul_14, 0, id_add_14, 1); |
| 1170 | |
| 1171 | NodeID id_block_15_1_BiasAdd = _graph.add_node<ConvolutionLayerNode>( |
| 1172 | PadStrideInfo |
| 1173 | { |
| 1174 | 1, 1, |
| 1175 | 1, 1, |
| 1176 | 1, 1, |
| 1177 | DimensionRoundingType::FLOOR }, |
| 1178 | 1, |
| 1179 | arm_compute::graph::ConvolutionMethod::Default, |
| 1180 | FastMathHint::Disabled, |
| 1181 | QuantizationInfo(0.004009159281849861, 130)); |
| 1182 | INode *node_block_15_1_BiasAdd = _graph.node(id_block_15_1_BiasAdd); |
| 1183 | node_block_15_1_BiasAdd->set_common_node_parameters(NodeParams{ "block_15_1_BiasAdd", target }); |
| 1184 | _graph.add_connection(id_add_14, 0, id_block_15_1_BiasAdd, 0); |
| 1185 | _graph.add_connection(id_block_15_1_FakeQuantWithMinMaxVars, 0, id_block_15_1_BiasAdd, 1); |
| 1186 | _graph.add_connection(id_block_15_1_Conv2D_bias, 0, id_block_15_1_BiasAdd, 2); |
| 1187 | |
| 1188 | NodeID id_mul_15 = _graph.add_node<EltwiseLayerNode>( |
Sang-Hoon Park | 797b76b | 2020-03-11 23:21:14 +0000 | [diff] [blame] | 1189 | descriptors::EltwiseLayerDescriptor{ EltwiseOperation::Mul, QuantizationInfo{ 0.0004008286341559142, 130 } }); |
Sang-Hoon Park | 6800117 | 2020-03-06 16:32:01 +0000 | [diff] [blame] | 1190 | INode *node_mul_15 = _graph.node(id_mul_15); |
| 1191 | node_mul_15->set_common_node_parameters(NodeParams{ "mul_15", target }); |
| 1192 | _graph.add_connection(id_block_15_1_BiasAdd, 0, id_mul_15, 0); |
| 1193 | _graph.add_connection(id_mul_15_y, 0, id_mul_15, 1); |
| 1194 | |
| 1195 | NodeID id_add_15 = _graph.add_node<EltwiseLayerNode>( |
Sang-Hoon Park | 797b76b | 2020-03-11 23:21:14 +0000 | [diff] [blame] | 1196 | descriptors::EltwiseLayerDescriptor{ EltwiseOperation::Add, QuantizationInfo{ 0.0035031239967793226, 78 } }); |
Sang-Hoon Park | 6800117 | 2020-03-06 16:32:01 +0000 | [diff] [blame] | 1197 | INode *node_add_15 = _graph.node(id_add_15); |
| 1198 | node_add_15->set_common_node_parameters(NodeParams{ "add_15", target }); |
| 1199 | _graph.add_connection(id_add_14, 0, id_add_15, 0); |
| 1200 | _graph.add_connection(id_mul_15, 0, id_add_15, 1); |
| 1201 | |
| 1202 | NodeID id_post_residual_BiasAdd = _graph.add_node<ConvolutionLayerNode>( |
| 1203 | PadStrideInfo |
| 1204 | { |
| 1205 | 1, 1, |
| 1206 | 1, 1, |
| 1207 | 1, 1, |
| 1208 | DimensionRoundingType::FLOOR }, |
| 1209 | 1, |
| 1210 | arm_compute::graph::ConvolutionMethod::Default, |
| 1211 | FastMathHint::Disabled, |
| 1212 | QuantizationInfo(0.005167999770492315, 112)); |
| 1213 | INode *node_post_residual_BiasAdd = _graph.node(id_post_residual_BiasAdd); |
| 1214 | node_post_residual_BiasAdd->set_common_node_parameters(NodeParams{ "post_residual_BiasAdd", target }); |
| 1215 | _graph.add_connection(id_add_15, 0, id_post_residual_BiasAdd, 0); |
| 1216 | _graph.add_connection(id_post_residual_FakeQuantWithMinMaxVars, 0, id_post_residual_BiasAdd, 1); |
| 1217 | _graph.add_connection(id_post_residual_Conv2D_bias, 0, id_post_residual_BiasAdd, 2); |
| 1218 | |
| 1219 | NodeID id_add_16 = _graph.add_node<EltwiseLayerNode>( |
Sang-Hoon Park | 797b76b | 2020-03-11 23:21:14 +0000 | [diff] [blame] | 1220 | descriptors::EltwiseLayerDescriptor{ EltwiseOperation::Add, QuantizationInfo{ 0.0065071373246610165, 89 } }); |
Sang-Hoon Park | 6800117 | 2020-03-06 16:32:01 +0000 | [diff] [blame] | 1221 | INode *node_add_16 = _graph.node(id_add_16); |
| 1222 | node_add_16->set_common_node_parameters(NodeParams{ "add_16", target }); |
| 1223 | _graph.add_connection(id_post_residual_BiasAdd, 0, id_add_16, 0); |
| 1224 | _graph.add_connection(id_pre_residual_BiasAdd, 0, id_add_16, 1); |
| 1225 | |
| 1226 | NodeID id_pre_upscale_BiasAdd = _graph.add_node<ConvolutionLayerNode>( |
| 1227 | PadStrideInfo |
| 1228 | { |
| 1229 | 1, 1, |
| 1230 | 1, 1, |
| 1231 | 1, 1, |
| 1232 | DimensionRoundingType::FLOOR }, |
| 1233 | 1, |
| 1234 | arm_compute::graph::ConvolutionMethod::Default, |
| 1235 | FastMathHint::Disabled, |
| 1236 | QuantizationInfo(0.005013593938201666, 26)); |
| 1237 | INode *node_pre_upscale_BiasAdd = _graph.node(id_pre_upscale_BiasAdd); |
| 1238 | node_pre_upscale_BiasAdd->set_common_node_parameters(NodeParams{ "pre_upscale_BiasAdd", target }); |
| 1239 | _graph.add_connection(id_add_16, 0, id_pre_upscale_BiasAdd, 0); |
| 1240 | _graph.add_connection(id_pre_upscale_FakeQuantWithMinMaxVars, 0, id_pre_upscale_BiasAdd, 1); |
| 1241 | _graph.add_connection(id_pre_upscale_Conv2D_bias, 0, id_pre_upscale_BiasAdd, 2); |
| 1242 | |
| 1243 | NodeID id_upscale_net_FakeQuantWithMinMaxVars_1 = _graph.add_node<DeconvolutionLayerNode>( |
Sang-Hoon Park | 104fbd7 | 2020-03-13 11:31:53 +0000 | [diff] [blame] | 1244 | descriptors::DeconvolutionLayerDescriptor |
Sang-Hoon Park | 6800117 | 2020-03-06 16:32:01 +0000 | [diff] [blame] | 1245 | { |
Sang-Hoon Park | 104fbd7 | 2020-03-13 11:31:53 +0000 | [diff] [blame] | 1246 | PadStrideInfo{ |
| 1247 | 2, 2, |
| 1248 | 0, 0, |
| 1249 | 0, 0, |
| 1250 | DimensionRoundingType::FLOOR }, |
| 1251 | QuantizationInfo{ 0.004990961868315935, 26 } }); |
Sang-Hoon Park | 6800117 | 2020-03-06 16:32:01 +0000 | [diff] [blame] | 1252 | INode *node_upscale_net_FakeQuantWithMinMaxVars_1 = _graph.node(id_upscale_net_FakeQuantWithMinMaxVars_1); |
| 1253 | node_upscale_net_FakeQuantWithMinMaxVars_1->set_common_node_parameters(NodeParams{ "upscale_net_FakeQuantWithMinMaxVars_1", target }); |
| 1254 | _graph.add_connection(id_pre_upscale_BiasAdd, 0, id_upscale_net_FakeQuantWithMinMaxVars_1, 0); |
| 1255 | _graph.add_connection(id_upscale_net_FakeQuantWithMinMaxVars_transposed, 0, id_upscale_net_FakeQuantWithMinMaxVars_1, 1); |
| 1256 | TensorShape output_shape; |
| 1257 | output_shape.set(0, 3, false).set(1, 720, false).set(2, 1280, false).set(3, 1, false); |
| 1258 | |
| 1259 | NodeID id_output_140211982446376 = _graph.add_node<OutputNode>(); |
| 1260 | INode *node_output_140211982446376 = _graph.node(id_output_140211982446376); |
| 1261 | node_output_140211982446376->set_common_node_parameters(NodeParams{ "output_140211982446376", target }); |
| 1262 | _graph.add_connection(id_upscale_net_FakeQuantWithMinMaxVars_1, 0, id_output_140211982446376, 0); |
| 1263 | node_output_140211982446376->input(0)->set_accessor(get_npy_output_accessor(expected_output_filename.value(), output_shape, common_params.data_type, |
| 1264 | common_params.data_layout)); |
| 1265 | |
| 1266 | return true; |
| 1267 | } |
| 1268 | |
| 1269 | arm_compute::graph::Graph &graph() |
| 1270 | { |
| 1271 | return _graph; |
| 1272 | } |
| 1273 | |
| 1274 | private: |
| 1275 | arm_compute::graph::Graph _graph; |
| 1276 | }; |
| 1277 | |
| 1278 | #endif /* ARM_COMPUTE_GRAPH_EDSR_H */ |