Sang-Hoon Park | 6800117 | 2020-03-06 16:32:01 +0000 | [diff] [blame] | 1 | /* |
| 2 | * Copyright (c) 2020 ARM Limited. |
| 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 | |
| 108 | TensorShape scalar_4d_shape{}; |
| 109 | |
| 110 | scalar_4d_shape.set(0, 1, false).set(1, 1, false).set(2, 1, false).set(3, 1, false); |
| 111 | |
| 112 | NodeID id_mul_15_y = _graph.add_node<ConstNode>( |
| 113 | TensorDescriptor |
| 114 | { |
| 115 | scalar_4d_shape, |
| 116 | DataType::QASYMM8, |
| 117 | QuantizationInfo(0.0003921568568330258), |
| 118 | DataLayout::NHWC }); |
| 119 | INode *node_mul_15_y = _graph.node(id_mul_15_y); |
| 120 | node_mul_15_y->set_common_node_parameters(NodeParams{ "mul_15_y", target }); |
| 121 | node_mul_15_y->output(0)->set_accessor(get_weights_accessor(data_path, "/cnn_data/edsr_model/mul_15_y.npy", DataLayout::NHWC)); |
| 122 | |
| 123 | NodeID id_block_15_1_Conv2D_bias = _graph.add_node<ConstNode>( |
| 124 | TensorDescriptor |
| 125 | { |
| 126 | TensorShape{ 256 }, |
| 127 | DataType::S32, |
| 128 | QuantizationInfo(1.2441644230420934e-06), |
| 129 | DataLayout::NHWC }); |
| 130 | INode *node_block_15_1_Conv2D_bias = _graph.node(id_block_15_1_Conv2D_bias); |
| 131 | node_block_15_1_Conv2D_bias->set_common_node_parameters(NodeParams{ "block_15_1_Conv2D_bias", target }); |
| 132 | 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)); |
| 133 | |
| 134 | NodeID id_block_15_1_FakeQuantWithMinMaxVars = _graph.add_node<ConstNode>( |
| 135 | TensorDescriptor |
| 136 | { |
| 137 | TensorShape{ 256, 3, 3, 256 }, |
| 138 | DataType::QASYMM8, |
| 139 | QuantizationInfo(0.00037038681330159307, 125), |
| 140 | DataLayout::NHWC }); |
| 141 | INode *node_block_15_1_FakeQuantWithMinMaxVars = _graph.node(id_block_15_1_FakeQuantWithMinMaxVars); |
| 142 | node_block_15_1_FakeQuantWithMinMaxVars->set_common_node_parameters(NodeParams{ "block_15_1_FakeQuantWithMinMaxVars", target }); |
| 143 | node_block_15_1_FakeQuantWithMinMaxVars->output(0)->set_accessor(get_weights_accessor(data_path, "/cnn_data/edsr_model/block_15_1_FakeQuantWithMinMaxVars.npy", |
| 144 | DataLayout::NHWC)); |
| 145 | |
| 146 | NodeID id_mul_14_y = _graph.add_node<ConstNode>( |
| 147 | TensorDescriptor |
| 148 | { |
| 149 | scalar_4d_shape, |
| 150 | DataType::QASYMM8, |
| 151 | QuantizationInfo(0.0003921568568330258), |
| 152 | DataLayout::NHWC }); |
| 153 | INode *node_mul_14_y = _graph.node(id_mul_14_y); |
| 154 | node_mul_14_y->set_common_node_parameters(NodeParams{ "mul_14_y", target }); |
| 155 | node_mul_14_y->output(0)->set_accessor(get_weights_accessor(data_path, "/cnn_data/edsr_model/mul_14_y.npy", DataLayout::NHWC)); |
| 156 | |
| 157 | NodeID id_block_14_1_Conv2D_bias = _graph.add_node<ConstNode>( |
| 158 | TensorDescriptor |
| 159 | { |
| 160 | TensorShape{ 256 }, |
| 161 | DataType::S32, |
| 162 | QuantizationInfo(1.3417260333881131e-06), |
| 163 | DataLayout::NHWC }); |
| 164 | INode *node_block_14_1_Conv2D_bias = _graph.node(id_block_14_1_Conv2D_bias); |
| 165 | node_block_14_1_Conv2D_bias->set_common_node_parameters(NodeParams{ "block_14_1_Conv2D_bias", target }); |
| 166 | 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)); |
| 167 | |
| 168 | NodeID id_block_14_1_FakeQuantWithMinMaxVars = _graph.add_node<ConstNode>( |
| 169 | TensorDescriptor |
| 170 | { |
| 171 | TensorShape{ 256, 3, 3, 256 }, |
| 172 | DataType::QASYMM8, |
| 173 | QuantizationInfo(0.00040307495510205626, 127), |
| 174 | DataLayout::NHWC }); |
| 175 | INode *node_block_14_1_FakeQuantWithMinMaxVars = _graph.node(id_block_14_1_FakeQuantWithMinMaxVars); |
| 176 | node_block_14_1_FakeQuantWithMinMaxVars->set_common_node_parameters(NodeParams{ "block_14_1_FakeQuantWithMinMaxVars", target }); |
| 177 | node_block_14_1_FakeQuantWithMinMaxVars->output(0)->set_accessor(get_weights_accessor(data_path, "/cnn_data/edsr_model/block_14_1_FakeQuantWithMinMaxVars.npy", |
| 178 | DataLayout::NHWC)); |
| 179 | |
| 180 | NodeID id_mul_13_y = _graph.add_node<ConstNode>( |
| 181 | TensorDescriptor |
| 182 | { |
| 183 | scalar_4d_shape, |
| 184 | DataType::QASYMM8, |
| 185 | QuantizationInfo(0.0003921568568330258), |
| 186 | DataLayout::NHWC }); |
| 187 | INode *node_mul_13_y = _graph.node(id_mul_13_y); |
| 188 | node_mul_13_y->set_common_node_parameters(NodeParams{ "mul_13_y", target }); |
| 189 | node_mul_13_y->output(0)->set_accessor(get_weights_accessor(data_path, "/cnn_data/edsr_model/mul_13_y.npy", DataLayout::NHWC)); |
| 190 | |
| 191 | NodeID id_block_13_1_Conv2D_bias = _graph.add_node<ConstNode>( |
| 192 | TensorDescriptor |
| 193 | { |
| 194 | TensorShape{ 256 }, |
| 195 | DataType::S32, |
| 196 | QuantizationInfo(1.2636977544389083e-06), |
| 197 | DataLayout::NHWC }); |
| 198 | INode *node_block_13_1_Conv2D_bias = _graph.node(id_block_13_1_Conv2D_bias); |
| 199 | node_block_13_1_Conv2D_bias->set_common_node_parameters(NodeParams{ "block_13_1_Conv2D_bias", target }); |
| 200 | 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)); |
| 201 | |
| 202 | NodeID id_block_13_1_FakeQuantWithMinMaxVars = _graph.add_node<ConstNode>( |
| 203 | TensorDescriptor |
| 204 | { |
| 205 | TensorShape{ 256, 3, 3, 256 }, |
| 206 | DataType::QASYMM8, |
| 207 | QuantizationInfo(0.0003858553245663643, 131), |
| 208 | DataLayout::NHWC }); |
| 209 | INode *node_block_13_1_FakeQuantWithMinMaxVars = _graph.node(id_block_13_1_FakeQuantWithMinMaxVars); |
| 210 | node_block_13_1_FakeQuantWithMinMaxVars->set_common_node_parameters(NodeParams{ "block_13_1_FakeQuantWithMinMaxVars", target }); |
| 211 | node_block_13_1_FakeQuantWithMinMaxVars->output(0)->set_accessor(get_weights_accessor(data_path, "/cnn_data/edsr_model/block_13_1_FakeQuantWithMinMaxVars.npy", |
| 212 | DataLayout::NHWC)); |
| 213 | |
| 214 | NodeID id_mul_12_y = _graph.add_node<ConstNode>( |
| 215 | TensorDescriptor |
| 216 | { |
| 217 | scalar_4d_shape, |
| 218 | DataType::QASYMM8, |
| 219 | QuantizationInfo(0.0003921568568330258), |
| 220 | DataLayout::NHWC }); |
| 221 | INode *node_mul_12_y = _graph.node(id_mul_12_y); |
| 222 | node_mul_12_y->set_common_node_parameters(NodeParams{ "mul_12_y", target }); |
| 223 | node_mul_12_y->output(0)->set_accessor(get_weights_accessor(data_path, "/cnn_data/edsr_model/mul_12_y.npy", DataLayout::NHWC)); |
| 224 | |
| 225 | NodeID id_block_12_1_Conv2D_bias = _graph.add_node<ConstNode>( |
| 226 | TensorDescriptor |
| 227 | { |
| 228 | TensorShape{ 256 }, |
| 229 | DataType::S32, |
| 230 | QuantizationInfo(1.3479783547154511e-06), |
| 231 | DataLayout::NHWC }); |
| 232 | INode *node_block_12_1_Conv2D_bias = _graph.node(id_block_12_1_Conv2D_bias); |
| 233 | node_block_12_1_Conv2D_bias->set_common_node_parameters(NodeParams{ "block_12_1_Conv2D_bias", target }); |
| 234 | 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)); |
| 235 | |
| 236 | NodeID id_block_12_1_FakeQuantWithMinMaxVars = _graph.add_node<ConstNode>( |
| 237 | TensorDescriptor |
| 238 | { |
| 239 | TensorShape{ 256, 3, 3, 256 }, |
| 240 | DataType::QASYMM8, |
| 241 | QuantizationInfo(0.00041212860378436744, 130), |
| 242 | DataLayout::NHWC }); |
| 243 | INode *node_block_12_1_FakeQuantWithMinMaxVars = _graph.node(id_block_12_1_FakeQuantWithMinMaxVars); |
| 244 | node_block_12_1_FakeQuantWithMinMaxVars->set_common_node_parameters(NodeParams{ "block_12_1_FakeQuantWithMinMaxVars", target }); |
| 245 | node_block_12_1_FakeQuantWithMinMaxVars->output(0)->set_accessor(get_weights_accessor(data_path, "/cnn_data/edsr_model/block_12_1_FakeQuantWithMinMaxVars.npy", |
| 246 | DataLayout::NHWC)); |
| 247 | |
| 248 | NodeID id_mul_11_y = _graph.add_node<ConstNode>( |
| 249 | TensorDescriptor |
| 250 | { |
| 251 | scalar_4d_shape, |
| 252 | DataType::QASYMM8, |
| 253 | QuantizationInfo(0.0003921568568330258), |
| 254 | DataLayout::NHWC }); |
| 255 | INode *node_mul_11_y = _graph.node(id_mul_11_y); |
| 256 | node_mul_11_y->set_common_node_parameters(NodeParams{ "mul_11_y", target }); |
| 257 | node_mul_11_y->output(0)->set_accessor(get_weights_accessor(data_path, "/cnn_data/edsr_model/mul_11_y.npy", DataLayout::NHWC)); |
| 258 | |
| 259 | NodeID id_block_11_1_Conv2D_bias = _graph.add_node<ConstNode>( |
| 260 | TensorDescriptor |
| 261 | { |
| 262 | TensorShape{ 256 }, |
| 263 | DataType::S32, |
| 264 | QuantizationInfo(1.2847248171965475e-06), |
| 265 | DataLayout::NHWC }); |
| 266 | INode *node_block_11_1_Conv2D_bias = _graph.node(id_block_11_1_Conv2D_bias); |
| 267 | node_block_11_1_Conv2D_bias->set_common_node_parameters(NodeParams{ "block_11_1_Conv2D_bias", target }); |
| 268 | 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)); |
| 269 | |
| 270 | NodeID id_block_11_1_FakeQuantWithMinMaxVars = _graph.add_node<ConstNode>( |
| 271 | TensorDescriptor |
| 272 | { |
| 273 | TensorShape{ 256, 3, 3, 256 }, |
| 274 | DataType::QASYMM8, |
| 275 | QuantizationInfo(0.00040296532097272575, 131), |
| 276 | DataLayout::NHWC }); |
| 277 | INode *node_block_11_1_FakeQuantWithMinMaxVars = _graph.node(id_block_11_1_FakeQuantWithMinMaxVars); |
| 278 | node_block_11_1_FakeQuantWithMinMaxVars->set_common_node_parameters(NodeParams{ "block_11_1_FakeQuantWithMinMaxVars", target }); |
| 279 | node_block_11_1_FakeQuantWithMinMaxVars->output(0)->set_accessor(get_weights_accessor(data_path, "/cnn_data/edsr_model/block_11_1_FakeQuantWithMinMaxVars.npy", |
| 280 | DataLayout::NHWC)); |
| 281 | |
| 282 | NodeID id_mul_10_y = _graph.add_node<ConstNode>( |
| 283 | TensorDescriptor |
| 284 | { |
| 285 | scalar_4d_shape, |
| 286 | DataType::QASYMM8, |
| 287 | QuantizationInfo(0.0003921568568330258), |
| 288 | DataLayout::NHWC }); |
| 289 | INode *node_mul_10_y = _graph.node(id_mul_10_y); |
| 290 | node_mul_10_y->set_common_node_parameters(NodeParams{ "mul_10_y", target }); |
| 291 | node_mul_10_y->output(0)->set_accessor(get_weights_accessor(data_path, "/cnn_data/edsr_model/mul_10_y.npy", DataLayout::NHWC)); |
| 292 | |
| 293 | NodeID id_block_10_1_Conv2D_bias = _graph.add_node<ConstNode>( |
| 294 | TensorDescriptor |
| 295 | { |
| 296 | TensorShape{ 256 }, |
| 297 | DataType::S32, |
| 298 | QuantizationInfo(1.1997129831797793e-06), |
| 299 | DataLayout::NHWC }); |
| 300 | INode *node_block_10_1_Conv2D_bias = _graph.node(id_block_10_1_Conv2D_bias); |
| 301 | node_block_10_1_Conv2D_bias->set_common_node_parameters(NodeParams{ "block_10_1_Conv2D_bias", target }); |
| 302 | 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)); |
| 303 | |
| 304 | NodeID id_block_10_1_FakeQuantWithMinMaxVars = _graph.add_node<ConstNode>( |
| 305 | TensorDescriptor |
| 306 | { |
| 307 | TensorShape{ 256, 3, 3, 256 }, |
| 308 | DataType::QASYMM8, |
| 309 | QuantizationInfo(0.00036640543839894235, 129), |
| 310 | DataLayout::NHWC }); |
| 311 | INode *node_block_10_1_FakeQuantWithMinMaxVars = _graph.node(id_block_10_1_FakeQuantWithMinMaxVars); |
| 312 | node_block_10_1_FakeQuantWithMinMaxVars->set_common_node_parameters(NodeParams{ "block_10_1_FakeQuantWithMinMaxVars", target }); |
| 313 | node_block_10_1_FakeQuantWithMinMaxVars->output(0)->set_accessor(get_weights_accessor(data_path, "/cnn_data/edsr_model/block_10_1_FakeQuantWithMinMaxVars.npy", |
| 314 | DataLayout::NHWC)); |
| 315 | |
| 316 | NodeID id_mul_9_y = _graph.add_node<ConstNode>( |
| 317 | TensorDescriptor |
| 318 | { |
| 319 | scalar_4d_shape, |
| 320 | DataType::QASYMM8, |
| 321 | QuantizationInfo(0.0003921568568330258), |
| 322 | DataLayout::NHWC }); |
| 323 | INode *node_mul_9_y = _graph.node(id_mul_9_y); |
| 324 | node_mul_9_y->set_common_node_parameters(NodeParams{ "mul_9_y", target }); |
| 325 | node_mul_9_y->output(0)->set_accessor(get_weights_accessor(data_path, "/cnn_data/edsr_model/mul_9_y.npy", DataLayout::NHWC)); |
| 326 | |
| 327 | NodeID id_block_9_1_Conv2D_bias = _graph.add_node<ConstNode>( |
| 328 | TensorDescriptor |
| 329 | { |
| 330 | TensorShape{ 256 }, |
| 331 | DataType::S32, |
| 332 | QuantizationInfo(1.1920226370421005e-06), |
| 333 | DataLayout::NHWC }); |
| 334 | INode *node_block_9_1_Conv2D_bias = _graph.node(id_block_9_1_Conv2D_bias); |
| 335 | node_block_9_1_Conv2D_bias->set_common_node_parameters(NodeParams{ "block_9_1_Conv2D_bias", target }); |
| 336 | 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)); |
| 337 | |
| 338 | NodeID id_block_9_1_FakeQuantWithMinMaxVars = _graph.add_node<ConstNode>( |
| 339 | TensorDescriptor |
| 340 | { |
| 341 | TensorShape{ 256, 3, 3, 256 }, |
| 342 | DataType::QASYMM8, |
| 343 | QuantizationInfo(0.0003706997958943248, 129), |
| 344 | DataLayout::NHWC }); |
| 345 | INode *node_block_9_1_FakeQuantWithMinMaxVars = _graph.node(id_block_9_1_FakeQuantWithMinMaxVars); |
| 346 | node_block_9_1_FakeQuantWithMinMaxVars->set_common_node_parameters(NodeParams{ "block_9_1_FakeQuantWithMinMaxVars", target }); |
| 347 | node_block_9_1_FakeQuantWithMinMaxVars->output(0)->set_accessor(get_weights_accessor(data_path, "/cnn_data/edsr_model/block_9_1_FakeQuantWithMinMaxVars.npy", |
| 348 | DataLayout::NHWC)); |
| 349 | |
| 350 | NodeID id_mul_8_y = _graph.add_node<ConstNode>( |
| 351 | TensorDescriptor |
| 352 | { |
| 353 | scalar_4d_shape, |
| 354 | DataType::QASYMM8, |
| 355 | QuantizationInfo(0.0003921568568330258), |
| 356 | DataLayout::NHWC }); |
| 357 | INode *node_mul_8_y = _graph.node(id_mul_8_y); |
| 358 | node_mul_8_y->set_common_node_parameters(NodeParams{ "mul_8_y", target }); |
| 359 | node_mul_8_y->output(0)->set_accessor(get_weights_accessor(data_path, "/cnn_data/edsr_model/mul_8_y.npy", DataLayout::NHWC)); |
| 360 | |
| 361 | NodeID id_block_8_1_Conv2D_bias = _graph.add_node<ConstNode>( |
| 362 | TensorDescriptor |
| 363 | { |
| 364 | TensorShape{ 256 }, |
| 365 | DataType::S32, |
| 366 | QuantizationInfo(1.218903321387188e-06), |
| 367 | DataLayout::NHWC }); |
| 368 | INode *node_block_8_1_Conv2D_bias = _graph.node(id_block_8_1_Conv2D_bias); |
| 369 | node_block_8_1_Conv2D_bias->set_common_node_parameters(NodeParams{ "block_8_1_Conv2D_bias", target }); |
| 370 | 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)); |
| 371 | |
| 372 | NodeID id_block_8_1_FakeQuantWithMinMaxVars = _graph.add_node<ConstNode>( |
| 373 | TensorDescriptor |
| 374 | { |
| 375 | TensorShape{ 256, 3, 3, 256 }, |
| 376 | DataType::QASYMM8, |
| 377 | QuantizationInfo(0.00038377835880964994, 127), |
| 378 | DataLayout::NHWC }); |
| 379 | INode *node_block_8_1_FakeQuantWithMinMaxVars = _graph.node(id_block_8_1_FakeQuantWithMinMaxVars); |
| 380 | node_block_8_1_FakeQuantWithMinMaxVars->set_common_node_parameters(NodeParams{ "block_8_1_FakeQuantWithMinMaxVars", target }); |
| 381 | node_block_8_1_FakeQuantWithMinMaxVars->output(0)->set_accessor(get_weights_accessor(data_path, "/cnn_data/edsr_model/block_8_1_FakeQuantWithMinMaxVars.npy", |
| 382 | DataLayout::NHWC)); |
| 383 | |
| 384 | NodeID id_mul_7_y = _graph.add_node<ConstNode>( |
| 385 | TensorDescriptor |
| 386 | { |
| 387 | scalar_4d_shape, |
| 388 | DataType::QASYMM8, |
| 389 | QuantizationInfo(0.0003921568568330258), |
| 390 | DataLayout::NHWC }); |
| 391 | INode *node_mul_7_y = _graph.node(id_mul_7_y); |
| 392 | node_mul_7_y->set_common_node_parameters(NodeParams{ "mul_7_y", target }); |
| 393 | node_mul_7_y->output(0)->set_accessor(get_weights_accessor(data_path, "/cnn_data/edsr_model/mul_7_y.npy", DataLayout::NHWC)); |
| 394 | |
| 395 | NodeID id_block_7_1_Conv2D_bias = _graph.add_node<ConstNode>( |
| 396 | TensorDescriptor |
| 397 | { |
| 398 | TensorShape{ 256 }, |
| 399 | DataType::S32, |
| 400 | QuantizationInfo(1.257252392861119e-06), |
| 401 | DataLayout::NHWC }); |
| 402 | INode *node_block_7_1_Conv2D_bias = _graph.node(id_block_7_1_Conv2D_bias); |
| 403 | node_block_7_1_Conv2D_bias->set_common_node_parameters(NodeParams{ "block_7_1_Conv2D_bias", target }); |
| 404 | 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)); |
| 405 | |
| 406 | NodeID id_block_7_1_FakeQuantWithMinMaxVars = _graph.add_node<ConstNode>( |
| 407 | TensorDescriptor |
| 408 | { |
| 409 | TensorShape{ 256, 3, 3, 256 }, |
| 410 | DataType::QASYMM8, |
| 411 | QuantizationInfo(0.00039844686398282647, 129), |
| 412 | DataLayout::NHWC }); |
| 413 | INode *node_block_7_1_FakeQuantWithMinMaxVars = _graph.node(id_block_7_1_FakeQuantWithMinMaxVars); |
| 414 | node_block_7_1_FakeQuantWithMinMaxVars->set_common_node_parameters(NodeParams{ "block_7_1_FakeQuantWithMinMaxVars", target }); |
| 415 | node_block_7_1_FakeQuantWithMinMaxVars->output(0)->set_accessor(get_weights_accessor(data_path, "/cnn_data/edsr_model/block_7_1_FakeQuantWithMinMaxVars.npy", |
| 416 | DataLayout::NHWC)); |
| 417 | |
| 418 | NodeID id_mul_6_y = _graph.add_node<ConstNode>( |
| 419 | TensorDescriptor |
| 420 | { |
| 421 | scalar_4d_shape, |
| 422 | DataType::QASYMM8, |
| 423 | QuantizationInfo(0.0003921568568330258), |
| 424 | DataLayout::NHWC }); |
| 425 | INode *node_mul_6_y = _graph.node(id_mul_6_y); |
| 426 | node_mul_6_y->set_common_node_parameters(NodeParams{ "mul_6_y", target }); |
| 427 | node_mul_6_y->output(0)->set_accessor(get_weights_accessor(data_path, "/cnn_data/edsr_model/mul_6_y.npy", DataLayout::NHWC)); |
| 428 | |
| 429 | NodeID id_block_6_1_Conv2D_bias = _graph.add_node<ConstNode>( |
| 430 | TensorDescriptor |
| 431 | { |
| 432 | TensorShape{ 256 }, |
| 433 | DataType::S32, |
| 434 | QuantizationInfo(1.244850636794581e-06), |
| 435 | DataLayout::NHWC }); |
| 436 | INode *node_block_6_1_Conv2D_bias = _graph.node(id_block_6_1_Conv2D_bias); |
| 437 | node_block_6_1_Conv2D_bias->set_common_node_parameters(NodeParams{ "block_6_1_Conv2D_bias", target }); |
| 438 | 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)); |
| 439 | |
| 440 | NodeID id_block_6_1_FakeQuantWithMinMaxVars = _graph.add_node<ConstNode>( |
| 441 | TensorDescriptor |
| 442 | { |
| 443 | TensorShape{ 256, 3, 3, 256 }, |
| 444 | DataType::QASYMM8, |
| 445 | QuantizationInfo(0.00040187727427110076, 132), |
| 446 | DataLayout::NHWC }); |
| 447 | INode *node_block_6_1_FakeQuantWithMinMaxVars = _graph.node(id_block_6_1_FakeQuantWithMinMaxVars); |
| 448 | node_block_6_1_FakeQuantWithMinMaxVars->set_common_node_parameters(NodeParams{ "block_6_1_FakeQuantWithMinMaxVars", target }); |
| 449 | node_block_6_1_FakeQuantWithMinMaxVars->output(0)->set_accessor(get_weights_accessor(data_path, "/cnn_data/edsr_model/block_6_1_FakeQuantWithMinMaxVars.npy", |
| 450 | DataLayout::NHWC)); |
| 451 | |
| 452 | NodeID id_mul_5_y = _graph.add_node<ConstNode>( |
| 453 | TensorDescriptor |
| 454 | { |
| 455 | scalar_4d_shape, |
| 456 | DataType::QASYMM8, |
| 457 | QuantizationInfo(0.0003921568568330258), |
| 458 | DataLayout::NHWC }); |
| 459 | INode *node_mul_5_y = _graph.node(id_mul_5_y); |
| 460 | node_mul_5_y->set_common_node_parameters(NodeParams{ "mul_5_y", target }); |
| 461 | node_mul_5_y->output(0)->set_accessor(get_weights_accessor(data_path, "/cnn_data/edsr_model/mul_5_y.npy", DataLayout::NHWC)); |
| 462 | |
| 463 | NodeID id_block_5_1_Conv2D_bias = _graph.add_node<ConstNode>( |
| 464 | TensorDescriptor |
| 465 | { |
| 466 | TensorShape{ 256 }, |
| 467 | DataType::S32, |
| 468 | QuantizationInfo(1.241092718373693e-06), |
| 469 | DataLayout::NHWC }); |
| 470 | INode *node_block_5_1_Conv2D_bias = _graph.node(id_block_5_1_Conv2D_bias); |
| 471 | node_block_5_1_Conv2D_bias->set_common_node_parameters(NodeParams{ "block_5_1_Conv2D_bias", target }); |
| 472 | 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)); |
| 473 | |
| 474 | NodeID id_block_5_1_FakeQuantWithMinMaxVars = _graph.add_node<ConstNode>( |
| 475 | TensorDescriptor |
| 476 | { |
| 477 | TensorShape{ 256, 3, 3, 256 }, |
| 478 | DataType::QASYMM8, |
| 479 | QuantizationInfo(0.0003938926674891263, 129), |
| 480 | DataLayout::NHWC }); |
| 481 | INode *node_block_5_1_FakeQuantWithMinMaxVars = _graph.node(id_block_5_1_FakeQuantWithMinMaxVars); |
| 482 | node_block_5_1_FakeQuantWithMinMaxVars->set_common_node_parameters(NodeParams{ "block_5_1_FakeQuantWithMinMaxVars", target }); |
| 483 | node_block_5_1_FakeQuantWithMinMaxVars->output(0)->set_accessor(get_weights_accessor(data_path, "/cnn_data/edsr_model/block_5_1_FakeQuantWithMinMaxVars.npy", |
| 484 | DataLayout::NHWC)); |
| 485 | |
| 486 | NodeID id_mul_4_y = _graph.add_node<ConstNode>( |
| 487 | TensorDescriptor |
| 488 | { |
| 489 | scalar_4d_shape, |
| 490 | DataType::QASYMM8, |
| 491 | QuantizationInfo(0.0003921568568330258), |
| 492 | DataLayout::NHWC }); |
| 493 | INode *node_mul_4_y = _graph.node(id_mul_4_y); |
| 494 | node_mul_4_y->set_common_node_parameters(NodeParams{ "mul_4_y", target }); |
| 495 | node_mul_4_y->output(0)->set_accessor(get_weights_accessor(data_path, "/cnn_data/edsr_model/mul_4_y.npy", DataLayout::NHWC)); |
| 496 | |
| 497 | NodeID id_block_4_1_Conv2D_bias = _graph.add_node<ConstNode>( |
| 498 | TensorDescriptor |
| 499 | { |
| 500 | TensorShape{ 256 }, |
| 501 | DataType::S32, |
| 502 | QuantizationInfo(1.1748390988941537e-06), |
| 503 | DataLayout::NHWC }); |
| 504 | INode *node_block_4_1_Conv2D_bias = _graph.node(id_block_4_1_Conv2D_bias); |
| 505 | node_block_4_1_Conv2D_bias->set_common_node_parameters(NodeParams{ "block_4_1_Conv2D_bias", target }); |
| 506 | 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)); |
| 507 | |
| 508 | NodeID id_block_4_1_FakeQuantWithMinMaxVars = _graph.add_node<ConstNode>( |
| 509 | TensorDescriptor |
| 510 | { |
| 511 | TensorShape{ 256, 3, 3, 256 }, |
| 512 | DataType::QASYMM8, |
| 513 | QuantizationInfo(0.0003788181929849088, 129), |
| 514 | DataLayout::NHWC }); |
| 515 | INode *node_block_4_1_FakeQuantWithMinMaxVars = _graph.node(id_block_4_1_FakeQuantWithMinMaxVars); |
| 516 | node_block_4_1_FakeQuantWithMinMaxVars->set_common_node_parameters(NodeParams{ "block_4_1_FakeQuantWithMinMaxVars", target }); |
| 517 | node_block_4_1_FakeQuantWithMinMaxVars->output(0)->set_accessor(get_weights_accessor(data_path, "/cnn_data/edsr_model/block_4_1_FakeQuantWithMinMaxVars.npy", |
| 518 | DataLayout::NHWC)); |
| 519 | |
| 520 | NodeID id_mul_3_y = _graph.add_node<ConstNode>( |
| 521 | TensorDescriptor |
| 522 | { |
| 523 | scalar_4d_shape, |
| 524 | DataType::QASYMM8, |
| 525 | QuantizationInfo(0.0003921568568330258), |
| 526 | DataLayout::NHWC }); |
| 527 | INode *node_mul_3_y = _graph.node(id_mul_3_y); |
| 528 | node_mul_3_y->set_common_node_parameters(NodeParams{ "mul_3_y", target }); |
| 529 | node_mul_3_y->output(0)->set_accessor(get_weights_accessor(data_path, "/cnn_data/edsr_model/mul_3_y.npy", DataLayout::NHWC)); |
| 530 | |
| 531 | NodeID id_block_3_1_Conv2D_bias = _graph.add_node<ConstNode>( |
| 532 | TensorDescriptor |
| 533 | { |
| 534 | TensorShape{ 256 }, |
| 535 | DataType::S32, |
| 536 | QuantizationInfo(1.1937011095142225e-06), |
| 537 | DataLayout::NHWC }); |
| 538 | INode *node_block_3_1_Conv2D_bias = _graph.node(id_block_3_1_Conv2D_bias); |
| 539 | node_block_3_1_Conv2D_bias->set_common_node_parameters(NodeParams{ "block_3_1_Conv2D_bias", target }); |
| 540 | 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)); |
| 541 | |
| 542 | NodeID id_block_3_1_FakeQuantWithMinMaxVars = _graph.add_node<ConstNode>( |
| 543 | TensorDescriptor |
| 544 | { |
| 545 | TensorShape{ 256, 3, 3, 256 }, |
| 546 | DataType::QASYMM8, |
| 547 | QuantizationInfo(0.0003944312920793891, 129), |
| 548 | DataLayout::NHWC }); |
| 549 | INode *node_block_3_1_FakeQuantWithMinMaxVars = _graph.node(id_block_3_1_FakeQuantWithMinMaxVars); |
| 550 | node_block_3_1_FakeQuantWithMinMaxVars->set_common_node_parameters(NodeParams{ "block_3_1_FakeQuantWithMinMaxVars", target }); |
| 551 | node_block_3_1_FakeQuantWithMinMaxVars->output(0)->set_accessor(get_weights_accessor(data_path, "/cnn_data/edsr_model/block_3_1_FakeQuantWithMinMaxVars.npy", |
| 552 | DataLayout::NHWC)); |
| 553 | |
| 554 | NodeID id_mul_2_y = _graph.add_node<ConstNode>( |
| 555 | TensorDescriptor |
| 556 | { |
| 557 | scalar_4d_shape, |
| 558 | DataType::QASYMM8, |
| 559 | QuantizationInfo(0.0003921568568330258), |
| 560 | DataLayout::NHWC }); |
| 561 | INode *node_mul_2_y = _graph.node(id_mul_2_y); |
| 562 | node_mul_2_y->set_common_node_parameters(NodeParams{ "mul_2_y", target }); |
| 563 | node_mul_2_y->output(0)->set_accessor(get_weights_accessor(data_path, "/cnn_data/edsr_model/mul_2_y.npy", DataLayout::NHWC)); |
| 564 | |
| 565 | NodeID id_block_2_1_Conv2D_bias = _graph.add_node<ConstNode>( |
| 566 | TensorDescriptor |
| 567 | { |
| 568 | TensorShape{ 256 }, |
| 569 | DataType::S32, |
| 570 | QuantizationInfo(1.1634580232566805e-06), |
| 571 | DataLayout::NHWC }); |
| 572 | INode *node_block_2_1_Conv2D_bias = _graph.node(id_block_2_1_Conv2D_bias); |
| 573 | node_block_2_1_Conv2D_bias->set_common_node_parameters(NodeParams{ "block_2_1_Conv2D_bias", target }); |
| 574 | 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)); |
| 575 | |
| 576 | NodeID id_block_2_1_FakeQuantWithMinMaxVars = _graph.add_node<ConstNode>( |
| 577 | TensorDescriptor |
| 578 | { |
| 579 | TensorShape{ 256, 3, 3, 256 }, |
| 580 | DataType::QASYMM8, |
| 581 | QuantizationInfo(0.0003789655165746808, 132), |
| 582 | DataLayout::NHWC }); |
| 583 | INode *node_block_2_1_FakeQuantWithMinMaxVars = _graph.node(id_block_2_1_FakeQuantWithMinMaxVars); |
| 584 | node_block_2_1_FakeQuantWithMinMaxVars->set_common_node_parameters(NodeParams{ "block_2_1_FakeQuantWithMinMaxVars", target }); |
| 585 | node_block_2_1_FakeQuantWithMinMaxVars->output(0)->set_accessor(get_weights_accessor(data_path, "/cnn_data/edsr_model/block_2_1_FakeQuantWithMinMaxVars.npy", |
| 586 | DataLayout::NHWC)); |
| 587 | |
| 588 | NodeID id_mul_1_y = _graph.add_node<ConstNode>( |
| 589 | TensorDescriptor |
| 590 | { |
| 591 | scalar_4d_shape, |
| 592 | DataType::QASYMM8, |
| 593 | QuantizationInfo(0.0003921568568330258), |
| 594 | DataLayout::NHWC }); |
| 595 | INode *node_mul_1_y = _graph.node(id_mul_1_y); |
| 596 | node_mul_1_y->set_common_node_parameters(NodeParams{ "mul_1_y", target }); |
| 597 | node_mul_1_y->output(0)->set_accessor(get_weights_accessor(data_path, "/cnn_data/edsr_model/mul_1_y.npy", DataLayout::NHWC)); |
| 598 | |
| 599 | NodeID id_block_1_1_Conv2D_bias = _graph.add_node<ConstNode>( |
| 600 | TensorDescriptor |
| 601 | { |
| 602 | TensorShape{ 256 }, |
| 603 | DataType::S32, |
| 604 | QuantizationInfo(1.197920255435747e-06), |
| 605 | DataLayout::NHWC }); |
| 606 | INode *node_block_1_1_Conv2D_bias = _graph.node(id_block_1_1_Conv2D_bias); |
| 607 | node_block_1_1_Conv2D_bias->set_common_node_parameters(NodeParams{ "block_1_1_Conv2D_bias", target }); |
| 608 | 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)); |
| 609 | |
| 610 | NodeID id_block_1_1_FakeQuantWithMinMaxVars = _graph.add_node<ConstNode>( |
| 611 | TensorDescriptor |
| 612 | { |
| 613 | TensorShape{ 256, 3, 3, 256 }, |
| 614 | DataType::QASYMM8, |
| 615 | QuantizationInfo(0.00038527738070115447, 132), |
| 616 | DataLayout::NHWC }); |
| 617 | INode *node_block_1_1_FakeQuantWithMinMaxVars = _graph.node(id_block_1_1_FakeQuantWithMinMaxVars); |
| 618 | node_block_1_1_FakeQuantWithMinMaxVars->set_common_node_parameters(NodeParams{ "block_1_1_FakeQuantWithMinMaxVars", target }); |
| 619 | node_block_1_1_FakeQuantWithMinMaxVars->output(0)->set_accessor(get_weights_accessor(data_path, "/cnn_data/edsr_model/block_1_1_FakeQuantWithMinMaxVars.npy", |
| 620 | DataLayout::NHWC)); |
| 621 | |
| 622 | NodeID id_mul_y = _graph.add_node<ConstNode>( |
| 623 | TensorDescriptor |
| 624 | { |
| 625 | scalar_4d_shape, |
| 626 | DataType::QASYMM8, |
| 627 | QuantizationInfo(0.0003921568568330258), |
| 628 | DataLayout::NHWC }); |
| 629 | INode *node_mul_y = _graph.node(id_mul_y); |
| 630 | node_mul_y->set_common_node_parameters(NodeParams{ "mul_y", target }); |
| 631 | node_mul_y->output(0)->set_accessor(get_weights_accessor(data_path, "/cnn_data/edsr_model/mul_y.npy", DataLayout::NHWC)); |
| 632 | |
| 633 | NodeID id_block_0_1_Conv2D_bias = _graph.add_node<ConstNode>( |
| 634 | TensorDescriptor |
| 635 | { |
| 636 | TensorShape{ 256 }, |
| 637 | DataType::S32, |
| 638 | QuantizationInfo(1.315485519626236e-06), |
| 639 | DataLayout::NHWC }); |
| 640 | INode *node_block_0_1_Conv2D_bias = _graph.node(id_block_0_1_Conv2D_bias); |
| 641 | node_block_0_1_Conv2D_bias->set_common_node_parameters(NodeParams{ "block_0_1_Conv2D_bias", target }); |
| 642 | 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)); |
| 643 | |
| 644 | NodeID id_block_0_1_FakeQuantWithMinMaxVars = _graph.add_node<ConstNode>( |
| 645 | TensorDescriptor |
| 646 | { |
| 647 | TensorShape{ 256, 3, 3, 256 }, |
| 648 | DataType::QASYMM8, |
| 649 | QuantizationInfo(0.00039420535904355347, 129), |
| 650 | DataLayout::NHWC }); |
| 651 | INode *node_block_0_1_FakeQuantWithMinMaxVars = _graph.node(id_block_0_1_FakeQuantWithMinMaxVars); |
| 652 | node_block_0_1_FakeQuantWithMinMaxVars->set_common_node_parameters(NodeParams{ "block_0_1_FakeQuantWithMinMaxVars", target }); |
| 653 | node_block_0_1_FakeQuantWithMinMaxVars->output(0)->set_accessor(get_weights_accessor(data_path, "/cnn_data/edsr_model/block_0_1_FakeQuantWithMinMaxVars.npy", |
| 654 | DataLayout::NHWC)); |
| 655 | |
| 656 | NodeID id_pre_residual_Conv2D_bias = _graph.add_node<ConstNode>( |
| 657 | TensorDescriptor |
| 658 | { |
| 659 | TensorShape{ 256 }, |
| 660 | DataType::S32, |
| 661 | QuantizationInfo(1.7214160834555514e-06), |
| 662 | DataLayout::NHWC }); |
| 663 | INode *node_pre_residual_Conv2D_bias = _graph.node(id_pre_residual_Conv2D_bias); |
| 664 | node_pre_residual_Conv2D_bias->set_common_node_parameters(NodeParams{ "pre_residual_Conv2D_bias", target }); |
| 665 | 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)); |
| 666 | |
| 667 | NodeID id_pre_residual_FakeQuantWithMinMaxVars = _graph.add_node<ConstNode>( |
| 668 | TensorDescriptor |
| 669 | { |
| 670 | TensorShape{ 3, 3, 3, 256 }, |
| 671 | DataType::QASYMM8, |
| 672 | QuantizationInfo(0.0004389610840007663, 127), |
| 673 | DataLayout::NHWC }); |
| 674 | INode *node_pre_residual_FakeQuantWithMinMaxVars = _graph.node(id_pre_residual_FakeQuantWithMinMaxVars); |
| 675 | node_pre_residual_FakeQuantWithMinMaxVars->set_common_node_parameters(NodeParams{ "pre_residual_FakeQuantWithMinMaxVars", target }); |
| 676 | node_pre_residual_FakeQuantWithMinMaxVars->output(0)->set_accessor(get_weights_accessor(data_path, "/cnn_data/edsr_model/pre_residual_FakeQuantWithMinMaxVars.npy", |
| 677 | DataLayout::NHWC)); |
| 678 | |
| 679 | TensorShape input_shape{}; |
| 680 | input_shape.set(0, 3, false).set(1, 360, false).set(2, 640, false).set(3, 1, false); |
| 681 | |
| 682 | NodeID id_input = _graph.add_node<InputNode>( |
| 683 | TensorDescriptor |
| 684 | { |
| 685 | input_shape, |
| 686 | DataType::QASYMM8, |
| 687 | QuantizationInfo(0.003921568859368563), |
| 688 | DataLayout::NHWC }); |
| 689 | INode *node_input = _graph.node(id_input); |
| 690 | node_input->set_common_node_parameters(NodeParams{ "input", target }); |
| 691 | node_input->output(0)->set_accessor(get_input_accessor(common_params)); |
| 692 | |
| 693 | NodeID id_pre_residual_BiasAdd = _graph.add_node<ConvolutionLayerNode>( |
| 694 | PadStrideInfo |
| 695 | { |
| 696 | 1, 1, |
| 697 | 1, 1, |
| 698 | 1, 1, |
| 699 | DimensionRoundingType::FLOOR }, |
| 700 | 1, |
| 701 | arm_compute::graph::ConvolutionMethod::Default, |
| 702 | FastMathHint::Disabled, |
| 703 | QuantizationInfo(0.0033370566088706255, 96)); |
| 704 | INode *node_pre_residual_BiasAdd = _graph.node(id_pre_residual_BiasAdd); |
| 705 | node_pre_residual_BiasAdd->set_common_node_parameters(NodeParams{ "pre_residual_BiasAdd", target }); |
| 706 | _graph.add_connection(id_input, 0, id_pre_residual_BiasAdd, 0); |
| 707 | _graph.add_connection(id_pre_residual_FakeQuantWithMinMaxVars, 0, id_pre_residual_BiasAdd, 1); |
| 708 | _graph.add_connection(id_pre_residual_Conv2D_bias, 0, id_pre_residual_BiasAdd, 2); |
| 709 | |
| 710 | NodeID id_block_0_1_BiasAdd = _graph.add_node<ConvolutionLayerNode>( |
| 711 | PadStrideInfo |
| 712 | { |
| 713 | 1, 1, |
| 714 | 1, 1, |
| 715 | 1, 1, |
| 716 | DimensionRoundingType::FLOOR }, |
| 717 | 1, |
| 718 | arm_compute::graph::ConvolutionMethod::Default, |
| 719 | FastMathHint::Disabled, |
| 720 | QuantizationInfo(0.007344874087721109, 185)); |
| 721 | INode *node_block_0_1_BiasAdd = _graph.node(id_block_0_1_BiasAdd); |
| 722 | node_block_0_1_BiasAdd->set_common_node_parameters(NodeParams{ "block_0_1_BiasAdd", target }); |
| 723 | _graph.add_connection(id_pre_residual_BiasAdd, 0, id_block_0_1_BiasAdd, 0); |
| 724 | _graph.add_connection(id_block_0_1_FakeQuantWithMinMaxVars, 0, id_block_0_1_BiasAdd, 1); |
| 725 | _graph.add_connection(id_block_0_1_Conv2D_bias, 0, id_block_0_1_BiasAdd, 2); |
| 726 | |
| 727 | NodeID id_mul = _graph.add_node<EltwiseLayerNode>( |
Sang-Hoon Park | 797b76b | 2020-03-11 23:21:14 +0000 | [diff] [blame] | 728 | descriptors::EltwiseLayerDescriptor{ EltwiseOperation::Mul, QuantizationInfo{ 0.0006341293919831514, 174 } }); |
Sang-Hoon Park | 6800117 | 2020-03-06 16:32:01 +0000 | [diff] [blame] | 729 | INode *node_mul = _graph.node(id_mul); |
| 730 | node_mul->set_common_node_parameters(NodeParams{ "mul", target }); |
| 731 | _graph.add_connection(id_block_0_1_BiasAdd, 0, id_mul, 0); |
| 732 | _graph.add_connection(id_mul_y, 0, id_mul, 1); |
| 733 | |
| 734 | NodeID id_add = _graph.add_node<EltwiseLayerNode>( |
Sang-Hoon Park | 797b76b | 2020-03-11 23:21:14 +0000 | [diff] [blame] | 735 | descriptors::EltwiseLayerDescriptor{ EltwiseOperation::Add, QuantizationInfo{ 0.0031092411372810602, 95 } }); |
Sang-Hoon Park | 6800117 | 2020-03-06 16:32:01 +0000 | [diff] [blame] | 736 | INode *node_add = _graph.node(id_add); |
| 737 | node_add->set_common_node_parameters(NodeParams{ "add", target }); |
| 738 | _graph.add_connection(id_pre_residual_BiasAdd, 0, id_add, 0); |
| 739 | _graph.add_connection(id_mul, 0, id_add, 1); |
| 740 | |
| 741 | NodeID id_block_1_1_BiasAdd = _graph.add_node<ConvolutionLayerNode>( |
| 742 | PadStrideInfo |
| 743 | { |
| 744 | 1, 1, |
| 745 | 1, 1, |
| 746 | 1, 1, |
| 747 | DimensionRoundingType::FLOOR }, |
| 748 | 1, |
| 749 | arm_compute::graph::ConvolutionMethod::Default, |
| 750 | FastMathHint::Disabled, |
| 751 | QuantizationInfo(0.005333727691322565, 117)); |
| 752 | INode *node_block_1_1_BiasAdd = _graph.node(id_block_1_1_BiasAdd); |
| 753 | node_block_1_1_BiasAdd->set_common_node_parameters(NodeParams{ "block_1_1_BiasAdd", target }); |
| 754 | _graph.add_connection(id_add, 0, id_block_1_1_BiasAdd, 0); |
| 755 | _graph.add_connection(id_block_1_1_FakeQuantWithMinMaxVars, 0, id_block_1_1_BiasAdd, 1); |
| 756 | _graph.add_connection(id_block_1_1_Conv2D_bias, 0, id_block_1_1_BiasAdd, 2); |
| 757 | |
| 758 | NodeID id_mul_1 = _graph.add_node<EltwiseLayerNode>( |
Sang-Hoon Park | 797b76b | 2020-03-11 23:21:14 +0000 | [diff] [blame] | 759 | descriptors::EltwiseLayerDescriptor{ EltwiseOperation::Mul, QuantizationInfo{ 0.0004965941770933568, 122 } }); |
Sang-Hoon Park | 6800117 | 2020-03-06 16:32:01 +0000 | [diff] [blame] | 760 | INode *node_mul_1 = _graph.node(id_mul_1); |
| 761 | node_mul_1->set_common_node_parameters(NodeParams{ "mul_1", target }); |
| 762 | _graph.add_connection(id_block_1_1_BiasAdd, 0, id_mul_1, 0); |
| 763 | _graph.add_connection(id_mul_1_y, 0, id_mul_1, 1); |
| 764 | |
| 765 | NodeID id_add_1 = _graph.add_node<EltwiseLayerNode>( |
Sang-Hoon Park | 797b76b | 2020-03-11 23:21:14 +0000 | [diff] [blame] | 766 | descriptors::EltwiseLayerDescriptor{ EltwiseOperation::Add, QuantizationInfo{ 0.0030700892675668, 96 } }); |
Sang-Hoon Park | 6800117 | 2020-03-06 16:32:01 +0000 | [diff] [blame] | 767 | INode *node_add_1 = _graph.node(id_add_1); |
| 768 | node_add_1->set_common_node_parameters(NodeParams{ "add_1", target }); |
| 769 | _graph.add_connection(id_add, 0, id_add_1, 0); |
| 770 | _graph.add_connection(id_mul_1, 0, id_add_1, 1); |
| 771 | |
| 772 | NodeID id_block_2_1_BiasAdd = _graph.add_node<ConvolutionLayerNode>( |
| 773 | PadStrideInfo |
| 774 | { |
| 775 | 1, 1, |
| 776 | 1, 1, |
| 777 | 1, 1, |
| 778 | DimensionRoundingType::FLOOR }, |
| 779 | 1, |
| 780 | arm_compute::graph::ConvolutionMethod::Default, |
| 781 | FastMathHint::Disabled, |
| 782 | QuantizationInfo(0.004199742339551449, 132)); |
| 783 | INode *node_block_2_1_BiasAdd = _graph.node(id_block_2_1_BiasAdd); |
| 784 | node_block_2_1_BiasAdd->set_common_node_parameters(NodeParams{ "block_2_1_BiasAdd", target }); |
| 785 | _graph.add_connection(id_add_1, 0, id_block_2_1_BiasAdd, 0); |
| 786 | _graph.add_connection(id_block_2_1_FakeQuantWithMinMaxVars, 0, id_block_2_1_BiasAdd, 1); |
| 787 | _graph.add_connection(id_block_2_1_Conv2D_bias, 0, id_block_2_1_BiasAdd, 2); |
| 788 | |
| 789 | NodeID id_mul_2 = _graph.add_node<EltwiseLayerNode>( |
Sang-Hoon Park | 797b76b | 2020-03-11 23:21:14 +0000 | [diff] [blame] | 790 | descriptors::EltwiseLayerDescriptor{ EltwiseOperation::Mul, QuantizationInfo{ 0.0004133903712499887, 130 } }); |
Sang-Hoon Park | 6800117 | 2020-03-06 16:32:01 +0000 | [diff] [blame] | 791 | INode *node_mul_2 = _graph.node(id_mul_2); |
| 792 | node_mul_2->set_common_node_parameters(NodeParams{ "mul_2", target }); |
| 793 | _graph.add_connection(id_block_2_1_BiasAdd, 0, id_mul_2, 0); |
| 794 | _graph.add_connection(id_mul_2_y, 0, id_mul_2, 1); |
| 795 | |
| 796 | NodeID id_add_2 = _graph.add_node<EltwiseLayerNode>( |
Sang-Hoon Park | 797b76b | 2020-03-11 23:21:14 +0000 | [diff] [blame] | 797 | descriptors::EltwiseLayerDescriptor{ EltwiseOperation::Add, QuantizationInfo{ 0.003026385325938463, 94 } }); |
Sang-Hoon Park | 6800117 | 2020-03-06 16:32:01 +0000 | [diff] [blame] | 798 | INode *node_add_2 = _graph.node(id_add_2); |
| 799 | node_add_2->set_common_node_parameters(NodeParams{ "add_2", target }); |
| 800 | _graph.add_connection(id_add_1, 0, id_add_2, 0); |
| 801 | _graph.add_connection(id_mul_2, 0, id_add_2, 1); |
| 802 | |
| 803 | NodeID id_block_3_1_BiasAdd = _graph.add_node<ConvolutionLayerNode>( |
| 804 | PadStrideInfo |
| 805 | { |
| 806 | 1, 1, |
| 807 | 1, 1, |
| 808 | 1, 1, |
| 809 | DimensionRoundingType::FLOOR }, |
| 810 | 1, |
| 811 | arm_compute::graph::ConvolutionMethod::Default, |
| 812 | FastMathHint::Disabled, |
| 813 | QuantizationInfo(0.003977528307586908, 142)); |
| 814 | INode *node_block_3_1_BiasAdd = _graph.node(id_block_3_1_BiasAdd); |
| 815 | node_block_3_1_BiasAdd->set_common_node_parameters(NodeParams{ "block_3_1_BiasAdd", target }); |
| 816 | _graph.add_connection(id_add_2, 0, id_block_3_1_BiasAdd, 0); |
| 817 | _graph.add_connection(id_block_3_1_FakeQuantWithMinMaxVars, 0, id_block_3_1_BiasAdd, 1); |
| 818 | _graph.add_connection(id_block_3_1_Conv2D_bias, 0, id_block_3_1_BiasAdd, 2); |
| 819 | |
| 820 | NodeID id_mul_3 = _graph.add_node<EltwiseLayerNode>( |
Sang-Hoon Park | 797b76b | 2020-03-11 23:21:14 +0000 | [diff] [blame] | 821 | descriptors::EltwiseLayerDescriptor{ EltwiseOperation::Mul, QuantizationInfo{ 0.0003943995980080217, 141 } }); |
Sang-Hoon Park | 6800117 | 2020-03-06 16:32:01 +0000 | [diff] [blame] | 822 | INode *node_mul_3 = _graph.node(id_mul_3); |
| 823 | node_mul_3->set_common_node_parameters(NodeParams{ "mul_3", target }); |
| 824 | _graph.add_connection(id_block_3_1_BiasAdd, 0, id_mul_3, 0); |
| 825 | _graph.add_connection(id_mul_3_y, 0, id_mul_3, 1); |
| 826 | |
| 827 | NodeID id_add_3 = _graph.add_node<EltwiseLayerNode>( |
Sang-Hoon Park | 797b76b | 2020-03-11 23:21:14 +0000 | [diff] [blame] | 828 | descriptors::EltwiseLayerDescriptor{ EltwiseOperation::Add, QuantizationInfo{ 0.003101327223703265, 98 } }); |
Sang-Hoon Park | 6800117 | 2020-03-06 16:32:01 +0000 | [diff] [blame] | 829 | INode *node_add_3 = _graph.node(id_add_3); |
| 830 | node_add_3->set_common_node_parameters(NodeParams{ "add_3", target }); |
| 831 | _graph.add_connection(id_add_2, 0, id_add_3, 0); |
| 832 | _graph.add_connection(id_mul_3, 0, id_add_3, 1); |
| 833 | |
| 834 | NodeID id_block_4_1_BiasAdd = _graph.add_node<ConvolutionLayerNode>( |
| 835 | PadStrideInfo |
| 836 | { |
| 837 | 1, 1, |
| 838 | 1, 1, |
| 839 | 1, 1, |
| 840 | DimensionRoundingType::FLOOR }, |
| 841 | 1, |
| 842 | arm_compute::graph::ConvolutionMethod::Default, |
| 843 | FastMathHint::Disabled, |
| 844 | QuantizationInfo(0.0045388080179691315, 146)); |
| 845 | INode *node_block_4_1_BiasAdd = _graph.node(id_block_4_1_BiasAdd); |
| 846 | node_block_4_1_BiasAdd->set_common_node_parameters(NodeParams{ "block_4_1_BiasAdd", target }); |
| 847 | _graph.add_connection(id_add_3, 0, id_block_4_1_BiasAdd, 0); |
| 848 | _graph.add_connection(id_block_4_1_FakeQuantWithMinMaxVars, 0, id_block_4_1_BiasAdd, 1); |
| 849 | _graph.add_connection(id_block_4_1_Conv2D_bias, 0, id_block_4_1_BiasAdd, 2); |
| 850 | |
| 851 | NodeID id_mul_4 = _graph.add_node<EltwiseLayerNode>( |
Sang-Hoon Park | 797b76b | 2020-03-11 23:21:14 +0000 | [diff] [blame] | 852 | descriptors::EltwiseLayerDescriptor{ EltwiseOperation::Mul, QuantizationInfo{ 0.00044342130422592163, 143 } }); |
Sang-Hoon Park | 6800117 | 2020-03-06 16:32:01 +0000 | [diff] [blame] | 853 | INode *node_mul_4 = _graph.node(id_mul_4); |
| 854 | node_mul_4->set_common_node_parameters(NodeParams{ "mul_4", target }); |
| 855 | _graph.add_connection(id_block_4_1_BiasAdd, 0, id_mul_4, 0); |
| 856 | _graph.add_connection(id_mul_4_y, 0, id_mul_4, 1); |
| 857 | |
| 858 | NodeID id_add_4 = _graph.add_node<EltwiseLayerNode>( |
Sang-Hoon Park | 797b76b | 2020-03-11 23:21:14 +0000 | [diff] [blame] | 859 | descriptors::EltwiseLayerDescriptor{ EltwiseOperation::Add, QuantizationInfo{ 0.003150839824229479, 98 } }); |
Sang-Hoon Park | 6800117 | 2020-03-06 16:32:01 +0000 | [diff] [blame] | 860 | INode *node_add_4 = _graph.node(id_add_4); |
| 861 | node_add_4->set_common_node_parameters(NodeParams{ "add_4", target }); |
| 862 | _graph.add_connection(id_add_3, 0, id_add_4, 0); |
| 863 | _graph.add_connection(id_mul_4, 0, id_add_4, 1); |
| 864 | |
| 865 | NodeID id_block_5_1_BiasAdd = _graph.add_node<ConvolutionLayerNode>( |
| 866 | PadStrideInfo |
| 867 | { |
| 868 | 1, 1, |
| 869 | 1, 1, |
| 870 | 1, 1, |
| 871 | DimensionRoundingType::FLOOR }, |
| 872 | 1, |
| 873 | arm_compute::graph::ConvolutionMethod::Default, |
| 874 | FastMathHint::Disabled, |
| 875 | QuantizationInfo(0.00402890844270587, 132)); |
| 876 | INode *node_block_5_1_BiasAdd = _graph.node(id_block_5_1_BiasAdd); |
| 877 | node_block_5_1_BiasAdd->set_common_node_parameters(NodeParams{ "block_5_1_BiasAdd", target }); |
| 878 | _graph.add_connection(id_add_4, 0, id_block_5_1_BiasAdd, 0); |
| 879 | _graph.add_connection(id_block_5_1_FakeQuantWithMinMaxVars, 0, id_block_5_1_BiasAdd, 1); |
| 880 | _graph.add_connection(id_block_5_1_Conv2D_bias, 0, id_block_5_1_BiasAdd, 2); |
| 881 | |
| 882 | NodeID id_mul_5 = _graph.add_node<EltwiseLayerNode>( |
Sang-Hoon Park | 797b76b | 2020-03-11 23:21:14 +0000 | [diff] [blame] | 883 | descriptors::EltwiseLayerDescriptor{ EltwiseOperation::Mul, QuantizationInfo{ 0.0004023382789455354, 132 } }); |
Sang-Hoon Park | 6800117 | 2020-03-06 16:32:01 +0000 | [diff] [blame] | 884 | INode *node_mul_5 = _graph.node(id_mul_5); |
| 885 | node_mul_5->set_common_node_parameters(NodeParams{ "mul_5", target }); |
| 886 | _graph.add_connection(id_block_5_1_BiasAdd, 0, id_mul_5, 0); |
| 887 | _graph.add_connection(id_mul_5_y, 0, id_mul_5, 1); |
| 888 | |
| 889 | NodeID id_add_5 = _graph.add_node<EltwiseLayerNode>( |
Sang-Hoon Park | 797b76b | 2020-03-11 23:21:14 +0000 | [diff] [blame] | 890 | descriptors::EltwiseLayerDescriptor{ EltwiseOperation::Add, QuantizationInfo{ 0.0030975888948887587, 94 } }); |
Sang-Hoon Park | 6800117 | 2020-03-06 16:32:01 +0000 | [diff] [blame] | 891 | INode *node_add_5 = _graph.node(id_add_5); |
| 892 | node_add_5->set_common_node_parameters(NodeParams{ "add_5", target }); |
| 893 | _graph.add_connection(id_add_4, 0, id_add_5, 0); |
| 894 | _graph.add_connection(id_mul_5, 0, id_add_5, 1); |
| 895 | |
| 896 | NodeID id_block_6_1_BiasAdd = _graph.add_node<ConvolutionLayerNode>( |
| 897 | PadStrideInfo |
| 898 | { |
| 899 | 1, 1, |
| 900 | 1, 1, |
| 901 | 1, 1, |
| 902 | DimensionRoundingType::FLOOR }, |
| 903 | 1, |
| 904 | arm_compute::graph::ConvolutionMethod::Default, |
| 905 | FastMathHint::Disabled, |
| 906 | QuantizationInfo(0.00421866774559021, 125)); |
| 907 | INode *node_block_6_1_BiasAdd = _graph.node(id_block_6_1_BiasAdd); |
| 908 | node_block_6_1_BiasAdd->set_common_node_parameters(NodeParams{ "block_6_1_BiasAdd", target }); |
| 909 | _graph.add_connection(id_add_5, 0, id_block_6_1_BiasAdd, 0); |
| 910 | _graph.add_connection(id_block_6_1_FakeQuantWithMinMaxVars, 0, id_block_6_1_BiasAdd, 1); |
| 911 | _graph.add_connection(id_block_6_1_Conv2D_bias, 0, id_block_6_1_BiasAdd, 2); |
| 912 | |
| 913 | NodeID id_mul_6 = _graph.add_node<EltwiseLayerNode>( |
Sang-Hoon Park | 797b76b | 2020-03-11 23:21:14 +0000 | [diff] [blame] | 914 | descriptors::EltwiseLayerDescriptor{ EltwiseOperation::Mul, QuantizationInfo{ 0.00041950203012675047, 125 } }); |
Sang-Hoon Park | 6800117 | 2020-03-06 16:32:01 +0000 | [diff] [blame] | 915 | INode *node_mul_6 = _graph.node(id_mul_6); |
| 916 | node_mul_6->set_common_node_parameters(NodeParams{ "mul_6", target }); |
| 917 | _graph.add_connection(id_block_6_1_BiasAdd, 0, id_mul_6, 0); |
| 918 | _graph.add_connection(id_mul_6_y, 0, id_mul_6, 1); |
| 919 | |
| 920 | NodeID id_add_6 = _graph.add_node<EltwiseLayerNode>( |
Sang-Hoon Park | 797b76b | 2020-03-11 23:21:14 +0000 | [diff] [blame] | 921 | descriptors::EltwiseLayerDescriptor{ EltwiseOperation::Add, QuantizationInfo{ 0.003155382815748453, 92 } }); |
Sang-Hoon Park | 6800117 | 2020-03-06 16:32:01 +0000 | [diff] [blame] | 922 | INode *node_add_6 = _graph.node(id_add_6); |
| 923 | node_add_6->set_common_node_parameters(NodeParams{ "add_6", target }); |
| 924 | _graph.add_connection(id_add_5, 0, id_add_6, 0); |
| 925 | _graph.add_connection(id_mul_6, 0, id_add_6, 1); |
| 926 | |
| 927 | NodeID id_block_7_1_BiasAdd = _graph.add_node<ConvolutionLayerNode>( |
| 928 | PadStrideInfo |
| 929 | { |
| 930 | 1, 1, |
| 931 | 1, 1, |
| 932 | 1, 1, |
| 933 | DimensionRoundingType::FLOOR }, |
| 934 | 1, |
| 935 | arm_compute::graph::ConvolutionMethod::Default, |
| 936 | FastMathHint::Disabled, |
| 937 | QuantizationInfo(0.004250136204063892, 143)); |
| 938 | INode *node_block_7_1_BiasAdd = _graph.node(id_block_7_1_BiasAdd); |
| 939 | node_block_7_1_BiasAdd->set_common_node_parameters(NodeParams{ "block_7_1_BiasAdd", target }); |
| 940 | _graph.add_connection(id_add_6, 0, id_block_7_1_BiasAdd, 0); |
| 941 | _graph.add_connection(id_block_7_1_FakeQuantWithMinMaxVars, 0, id_block_7_1_BiasAdd, 1); |
| 942 | _graph.add_connection(id_block_7_1_Conv2D_bias, 0, id_block_7_1_BiasAdd, 2); |
| 943 | |
| 944 | NodeID id_mul_7 = _graph.add_node<EltwiseLayerNode>( |
Sang-Hoon Park | 797b76b | 2020-03-11 23:21:14 +0000 | [diff] [blame] | 945 | descriptors::EltwiseLayerDescriptor{ EltwiseOperation::Mul, QuantizationInfo{ 0.00042401350219734013, 142 } }); |
Sang-Hoon Park | 6800117 | 2020-03-06 16:32:01 +0000 | [diff] [blame] | 946 | INode *node_mul_7 = _graph.node(id_mul_7); |
| 947 | node_mul_7->set_common_node_parameters(NodeParams{ "mul_7", target }); |
| 948 | _graph.add_connection(id_block_7_1_BiasAdd, 0, id_mul_7, 0); |
| 949 | _graph.add_connection(id_mul_7_y, 0, id_mul_7, 1); |
| 950 | |
| 951 | NodeID id_add_7 = _graph.add_node<EltwiseLayerNode>( |
Sang-Hoon Park | 797b76b | 2020-03-11 23:21:14 +0000 | [diff] [blame] | 952 | descriptors::EltwiseLayerDescriptor{ EltwiseOperation::Add, QuantizationInfo{ 0.0031760605052113533, 86 } }); |
Sang-Hoon Park | 6800117 | 2020-03-06 16:32:01 +0000 | [diff] [blame] | 953 | INode *node_add_7 = _graph.node(id_add_7); |
| 954 | node_add_7->set_common_node_parameters(NodeParams{ "add_7", target }); |
| 955 | _graph.add_connection(id_add_6, 0, id_add_7, 0); |
| 956 | _graph.add_connection(id_mul_7, 0, id_add_7, 1); |
| 957 | |
| 958 | NodeID id_block_8_1_BiasAdd = _graph.add_node<ConvolutionLayerNode>( |
| 959 | PadStrideInfo |
| 960 | { |
| 961 | 1, 1, |
| 962 | 1, 1, |
| 963 | 1, 1, |
| 964 | DimensionRoundingType::FLOOR }, |
| 965 | 1, |
| 966 | arm_compute::graph::ConvolutionMethod::Default, |
| 967 | FastMathHint::Disabled, |
| 968 | QuantizationInfo(0.004277155734598637, 123)); |
| 969 | INode *node_block_8_1_BiasAdd = _graph.node(id_block_8_1_BiasAdd); |
| 970 | node_block_8_1_BiasAdd->set_common_node_parameters(NodeParams{ "block_8_1_BiasAdd", target }); |
| 971 | _graph.add_connection(id_add_7, 0, id_block_8_1_BiasAdd, 0); |
| 972 | _graph.add_connection(id_block_8_1_FakeQuantWithMinMaxVars, 0, id_block_8_1_BiasAdd, 1); |
| 973 | _graph.add_connection(id_block_8_1_Conv2D_bias, 0, id_block_8_1_BiasAdd, 2); |
| 974 | |
| 975 | NodeID id_mul_8 = _graph.add_node<EltwiseLayerNode>( |
Sang-Hoon Park | 797b76b | 2020-03-11 23:21:14 +0000 | [diff] [blame] | 976 | descriptors::EltwiseLayerDescriptor{ EltwiseOperation::Mul, QuantizationInfo{ 0.00042673019925132394, 123 } }); |
Sang-Hoon Park | 6800117 | 2020-03-06 16:32:01 +0000 | [diff] [blame] | 977 | INode *node_mul_8 = _graph.node(id_mul_8); |
| 978 | node_mul_8->set_common_node_parameters(NodeParams{ "mul_8", target }); |
| 979 | _graph.add_connection(id_block_8_1_BiasAdd, 0, id_mul_8, 0); |
| 980 | _graph.add_connection(id_mul_8_y, 0, id_mul_8, 1); |
| 981 | |
| 982 | NodeID id_add_8 = _graph.add_node<EltwiseLayerNode>( |
Sang-Hoon Park | 797b76b | 2020-03-11 23:21:14 +0000 | [diff] [blame] | 983 | descriptors::EltwiseLayerDescriptor{ EltwiseOperation::Add, QuantizationInfo{ 0.0032156009692698717, 86 } }); |
Sang-Hoon Park | 6800117 | 2020-03-06 16:32:01 +0000 | [diff] [blame] | 984 | INode *node_add_8 = _graph.node(id_add_8); |
| 985 | node_add_8->set_common_node_parameters(NodeParams{ "add_8", target }); |
| 986 | _graph.add_connection(id_add_7, 0, id_add_8, 0); |
| 987 | _graph.add_connection(id_mul_8, 0, id_add_8, 1); |
| 988 | |
| 989 | NodeID id_block_9_1_BiasAdd = _graph.add_node<ConvolutionLayerNode>( |
| 990 | PadStrideInfo |
| 991 | { |
| 992 | 1, 1, |
| 993 | 1, 1, |
| 994 | 1, 1, |
| 995 | DimensionRoundingType::FLOOR }, |
| 996 | 1, |
| 997 | arm_compute::graph::ConvolutionMethod::Default, |
| 998 | FastMathHint::Disabled, |
| 999 | QuantizationInfo(0.00445037754252553, 129)); |
| 1000 | INode *node_block_9_1_BiasAdd = _graph.node(id_block_9_1_BiasAdd); |
| 1001 | node_block_9_1_BiasAdd->set_common_node_parameters(NodeParams{ "block_9_1_BiasAdd", target }); |
| 1002 | _graph.add_connection(id_add_8, 0, id_block_9_1_BiasAdd, 0); |
| 1003 | _graph.add_connection(id_block_9_1_FakeQuantWithMinMaxVars, 0, id_block_9_1_BiasAdd, 1); |
| 1004 | _graph.add_connection(id_block_9_1_Conv2D_bias, 0, id_block_9_1_BiasAdd, 2); |
| 1005 | |
| 1006 | NodeID id_mul_9 = _graph.add_node<EltwiseLayerNode>( |
Sang-Hoon Park | 797b76b | 2020-03-11 23:21:14 +0000 | [diff] [blame] | 1007 | descriptors::EltwiseLayerDescriptor{ EltwiseOperation::Mul, QuantizationInfo{ 0.0004448975087143481, 129 } }); |
Sang-Hoon Park | 6800117 | 2020-03-06 16:32:01 +0000 | [diff] [blame] | 1008 | INode *node_mul_9 = _graph.node(id_mul_9); |
| 1009 | node_mul_9->set_common_node_parameters(NodeParams{ "mul_9", target }); |
| 1010 | _graph.add_connection(id_block_9_1_BiasAdd, 0, id_mul_9, 0); |
| 1011 | _graph.add_connection(id_mul_9_y, 0, id_mul_9, 1); |
| 1012 | |
| 1013 | NodeID id_add_9 = _graph.add_node<EltwiseLayerNode>( |
Sang-Hoon Park | 797b76b | 2020-03-11 23:21:14 +0000 | [diff] [blame] | 1014 | descriptors::EltwiseLayerDescriptor{ EltwiseOperation::Add, QuantizationInfo{ 0.0032742770854383707, 80 } }); |
Sang-Hoon Park | 6800117 | 2020-03-06 16:32:01 +0000 | [diff] [blame] | 1015 | INode *node_add_9 = _graph.node(id_add_9); |
| 1016 | node_add_9->set_common_node_parameters(NodeParams{ "add_9", target }); |
| 1017 | _graph.add_connection(id_add_8, 0, id_add_9, 0); |
| 1018 | _graph.add_connection(id_mul_9, 0, id_add_9, 1); |
| 1019 | |
| 1020 | NodeID id_block_10_1_BiasAdd = _graph.add_node<ConvolutionLayerNode>( |
| 1021 | PadStrideInfo |
| 1022 | { |
| 1023 | 1, 1, |
| 1024 | 1, 1, |
| 1025 | 1, 1, |
| 1026 | DimensionRoundingType::FLOOR }, |
| 1027 | 1, |
| 1028 | arm_compute::graph::ConvolutionMethod::Default, |
| 1029 | FastMathHint::Disabled, |
| 1030 | QuantizationInfo(0.003614710411056876, 131)); |
| 1031 | INode *node_block_10_1_BiasAdd = _graph.node(id_block_10_1_BiasAdd); |
| 1032 | node_block_10_1_BiasAdd->set_common_node_parameters(NodeParams{ "block_10_1_BiasAdd", target }); |
| 1033 | _graph.add_connection(id_add_9, 0, id_block_10_1_BiasAdd, 0); |
| 1034 | _graph.add_connection(id_block_10_1_FakeQuantWithMinMaxVars, 0, id_block_10_1_BiasAdd, 1); |
| 1035 | _graph.add_connection(id_block_10_1_Conv2D_bias, 0, id_block_10_1_BiasAdd, 2); |
| 1036 | |
| 1037 | NodeID id_mul_10 = _graph.add_node<EltwiseLayerNode>( |
Sang-Hoon Park | 797b76b | 2020-03-11 23:21:14 +0000 | [diff] [blame] | 1038 | descriptors::EltwiseLayerDescriptor{ EltwiseOperation::Mul, QuantizationInfo{ 0.00036083892337046564, 130 } }); |
Sang-Hoon Park | 6800117 | 2020-03-06 16:32:01 +0000 | [diff] [blame] | 1039 | INode *node_mul_10 = _graph.node(id_mul_10); |
| 1040 | node_mul_10->set_common_node_parameters(NodeParams{ "mul_10", target }); |
| 1041 | _graph.add_connection(id_block_10_1_BiasAdd, 0, id_mul_10, 0); |
| 1042 | _graph.add_connection(id_mul_10_y, 0, id_mul_10, 1); |
| 1043 | |
| 1044 | NodeID id_add_10 = _graph.add_node<EltwiseLayerNode>( |
Sang-Hoon Park | 797b76b | 2020-03-11 23:21:14 +0000 | [diff] [blame] | 1045 | descriptors::EltwiseLayerDescriptor{ EltwiseOperation::Add, QuantizationInfo{ 0.0031881770119071007, 81 } }); |
Sang-Hoon Park | 6800117 | 2020-03-06 16:32:01 +0000 | [diff] [blame] | 1046 | INode *node_add_10 = _graph.node(id_add_10); |
| 1047 | node_add_10->set_common_node_parameters(NodeParams{ "add_10", target }); |
| 1048 | _graph.add_connection(id_add_9, 0, id_add_10, 0); |
| 1049 | _graph.add_connection(id_mul_10, 0, id_add_10, 1); |
| 1050 | |
| 1051 | NodeID id_block_11_1_BiasAdd = _graph.add_node<ConvolutionLayerNode>( |
| 1052 | PadStrideInfo |
| 1053 | { |
| 1054 | 1, 1, |
| 1055 | 1, 1, |
| 1056 | 1, 1, |
| 1057 | DimensionRoundingType::FLOOR }, |
| 1058 | 1, |
| 1059 | arm_compute::graph::ConvolutionMethod::Default, |
| 1060 | FastMathHint::Disabled, |
| 1061 | QuantizationInfo(0.003969002980738878, 133)); |
| 1062 | INode *node_block_11_1_BiasAdd = _graph.node(id_block_11_1_BiasAdd); |
| 1063 | node_block_11_1_BiasAdd->set_common_node_parameters(NodeParams{ "block_11_1_BiasAdd", target }); |
| 1064 | _graph.add_connection(id_add_10, 0, id_block_11_1_BiasAdd, 0); |
| 1065 | _graph.add_connection(id_block_11_1_FakeQuantWithMinMaxVars, 0, id_block_11_1_BiasAdd, 1); |
| 1066 | _graph.add_connection(id_block_11_1_Conv2D_bias, 0, id_block_11_1_BiasAdd, 2); |
| 1067 | |
| 1068 | NodeID id_mul_11 = _graph.add_node<EltwiseLayerNode>( |
Sang-Hoon Park | 797b76b | 2020-03-11 23:21:14 +0000 | [diff] [blame] | 1069 | descriptors::EltwiseLayerDescriptor{ EltwiseOperation::Mul, QuantizationInfo{ 0.0003968806122429669, 133 } }); |
Sang-Hoon Park | 6800117 | 2020-03-06 16:32:01 +0000 | [diff] [blame] | 1070 | INode *node_mul_11 = _graph.node(id_mul_11); |
| 1071 | node_mul_11->set_common_node_parameters(NodeParams{ "mul_11", target }); |
| 1072 | _graph.add_connection(id_block_11_1_BiasAdd, 0, id_mul_11, 0); |
| 1073 | _graph.add_connection(id_mul_11_y, 0, id_mul_11, 1); |
| 1074 | |
| 1075 | NodeID id_add_11 = _graph.add_node<EltwiseLayerNode>( |
Sang-Hoon Park | 797b76b | 2020-03-11 23:21:14 +0000 | [diff] [blame] | 1076 | descriptors::EltwiseLayerDescriptor{ EltwiseOperation::Add, QuantizationInfo{ 0.0032707711216062307, 80 } }); |
Sang-Hoon Park | 6800117 | 2020-03-06 16:32:01 +0000 | [diff] [blame] | 1077 | INode *node_add_11 = _graph.node(id_add_11); |
| 1078 | node_add_11->set_common_node_parameters(NodeParams{ "add_11", target }); |
| 1079 | _graph.add_connection(id_add_10, 0, id_add_11, 0); |
| 1080 | _graph.add_connection(id_mul_11, 0, id_add_11, 1); |
| 1081 | |
| 1082 | NodeID id_block_12_1_BiasAdd = _graph.add_node<ConvolutionLayerNode>( |
| 1083 | PadStrideInfo |
| 1084 | { |
| 1085 | 1, 1, |
| 1086 | 1, 1, |
| 1087 | 1, 1, |
| 1088 | DimensionRoundingType::FLOOR }, |
| 1089 | 1, |
| 1090 | arm_compute::graph::ConvolutionMethod::Default, |
| 1091 | FastMathHint::Disabled, |
| 1092 | QuantizationInfo(0.004366801120340824, 110)); |
| 1093 | INode *node_block_12_1_BiasAdd = _graph.node(id_block_12_1_BiasAdd); |
| 1094 | node_block_12_1_BiasAdd->set_common_node_parameters(NodeParams{ "block_12_1_BiasAdd", target }); |
| 1095 | _graph.add_connection(id_add_11, 0, id_block_12_1_BiasAdd, 0); |
| 1096 | _graph.add_connection(id_block_12_1_FakeQuantWithMinMaxVars, 0, id_block_12_1_BiasAdd, 1); |
| 1097 | _graph.add_connection(id_block_12_1_Conv2D_bias, 0, id_block_12_1_BiasAdd, 2); |
| 1098 | |
| 1099 | NodeID id_mul_12 = _graph.add_node<EltwiseLayerNode>( |
Sang-Hoon Park | 797b76b | 2020-03-11 23:21:14 +0000 | [diff] [blame] | 1100 | descriptors::EltwiseLayerDescriptor{ EltwiseOperation::Mul, QuantizationInfo{ 0.0004365936329122633, 110 } }); |
Sang-Hoon Park | 6800117 | 2020-03-06 16:32:01 +0000 | [diff] [blame] | 1101 | INode *node_mul_12 = _graph.node(id_mul_12); |
| 1102 | node_mul_12->set_common_node_parameters(NodeParams{ "mul_12", target }); |
| 1103 | _graph.add_connection(id_block_12_1_BiasAdd, 0, id_mul_12, 0); |
| 1104 | _graph.add_connection(id_mul_12_y, 0, id_mul_12, 1); |
| 1105 | |
| 1106 | NodeID id_add_12 = _graph.add_node<EltwiseLayerNode>( |
Sang-Hoon Park | 797b76b | 2020-03-11 23:21:14 +0000 | [diff] [blame] | 1107 | descriptors::EltwiseLayerDescriptor{ EltwiseOperation::Add, QuantizationInfo{ 0.003275055903941393, 79 } }); |
Sang-Hoon Park | 6800117 | 2020-03-06 16:32:01 +0000 | [diff] [blame] | 1108 | INode *node_add_12 = _graph.node(id_add_12); |
| 1109 | node_add_12->set_common_node_parameters(NodeParams{ "add_12", target }); |
| 1110 | _graph.add_connection(id_add_11, 0, id_add_12, 0); |
| 1111 | _graph.add_connection(id_mul_12, 0, id_add_12, 1); |
| 1112 | |
| 1113 | NodeID id_block_13_1_BiasAdd = _graph.add_node<ConvolutionLayerNode>( |
| 1114 | PadStrideInfo |
| 1115 | { |
| 1116 | 1, 1, |
| 1117 | 1, 1, |
| 1118 | 1, 1, |
| 1119 | DimensionRoundingType::FLOOR }, |
| 1120 | 1, |
| 1121 | arm_compute::graph::ConvolutionMethod::Default, |
| 1122 | FastMathHint::Disabled, |
| 1123 | QuantizationInfo(0.004386766813695431, 139)); |
| 1124 | INode *node_block_13_1_BiasAdd = _graph.node(id_block_13_1_BiasAdd); |
| 1125 | node_block_13_1_BiasAdd->set_common_node_parameters(NodeParams{ "block_13_1_BiasAdd", target }); |
| 1126 | _graph.add_connection(id_add_12, 0, id_block_13_1_BiasAdd, 0); |
| 1127 | _graph.add_connection(id_block_13_1_FakeQuantWithMinMaxVars, 0, id_block_13_1_BiasAdd, 1); |
| 1128 | _graph.add_connection(id_block_13_1_Conv2D_bias, 0, id_block_13_1_BiasAdd, 2); |
| 1129 | |
| 1130 | NodeID id_mul_13 = _graph.add_node<EltwiseLayerNode>( |
Sang-Hoon Park | 797b76b | 2020-03-11 23:21:14 +0000 | [diff] [blame] | 1131 | descriptors::EltwiseLayerDescriptor{ EltwiseOperation::Mul, QuantizationInfo{ 0.0004385628562886268, 139 } }); |
Sang-Hoon Park | 6800117 | 2020-03-06 16:32:01 +0000 | [diff] [blame] | 1132 | INode *node_mul_13 = _graph.node(id_mul_13); |
| 1133 | node_mul_13->set_common_node_parameters(NodeParams{ "mul_13", target }); |
| 1134 | _graph.add_connection(id_block_13_1_BiasAdd, 0, id_mul_13, 0); |
| 1135 | _graph.add_connection(id_mul_13_y, 0, id_mul_13, 1); |
| 1136 | |
| 1137 | NodeID id_add_13 = _graph.add_node<EltwiseLayerNode>( |
Sang-Hoon Park | 797b76b | 2020-03-11 23:21:14 +0000 | [diff] [blame] | 1138 | descriptors::EltwiseLayerDescriptor{ EltwiseOperation::Add, QuantizationInfo{ 0.0033287261612713337, 78 } }); |
Sang-Hoon Park | 6800117 | 2020-03-06 16:32:01 +0000 | [diff] [blame] | 1139 | INode *node_add_13 = _graph.node(id_add_13); |
| 1140 | node_add_13->set_common_node_parameters(NodeParams{ "add_13", target }); |
| 1141 | _graph.add_connection(id_add_12, 0, id_add_13, 0); |
| 1142 | _graph.add_connection(id_mul_13, 0, id_add_13, 1); |
| 1143 | |
| 1144 | NodeID id_block_14_1_BiasAdd = _graph.add_node<ConvolutionLayerNode>( |
| 1145 | PadStrideInfo |
| 1146 | { |
| 1147 | 1, 1, |
| 1148 | 1, 1, |
| 1149 | 1, 1, |
| 1150 | DimensionRoundingType::FLOOR }, |
| 1151 | 1, |
| 1152 | arm_compute::graph::ConvolutionMethod::Default, |
| 1153 | FastMathHint::Disabled, |
| 1154 | QuantizationInfo(0.0038069337606430054, 130)); |
| 1155 | INode *node_block_14_1_BiasAdd = _graph.node(id_block_14_1_BiasAdd); |
| 1156 | node_block_14_1_BiasAdd->set_common_node_parameters(NodeParams{ "block_14_1_BiasAdd", target }); |
| 1157 | _graph.add_connection(id_add_13, 0, id_block_14_1_BiasAdd, 0); |
| 1158 | _graph.add_connection(id_block_14_1_FakeQuantWithMinMaxVars, 0, id_block_14_1_BiasAdd, 1); |
| 1159 | _graph.add_connection(id_block_14_1_Conv2D_bias, 0, id_block_14_1_BiasAdd, 2); |
| 1160 | |
| 1161 | NodeID id_mul_14 = _graph.add_node<EltwiseLayerNode>( |
Sang-Hoon Park | 797b76b | 2020-03-11 23:21:14 +0000 | [diff] [blame] | 1162 | descriptors::EltwiseLayerDescriptor{ EltwiseOperation::Mul, QuantizationInfo{ 0.00037829321809113026, 130 } }); |
Sang-Hoon Park | 6800117 | 2020-03-06 16:32:01 +0000 | [diff] [blame] | 1163 | INode *node_mul_14 = _graph.node(id_mul_14); |
| 1164 | node_mul_14->set_common_node_parameters(NodeParams{ "mul_14", target }); |
| 1165 | _graph.add_connection(id_block_14_1_BiasAdd, 0, id_mul_14, 0); |
| 1166 | _graph.add_connection(id_mul_14_y, 0, id_mul_14, 1); |
| 1167 | |
| 1168 | NodeID id_add_14 = _graph.add_node<EltwiseLayerNode>( |
Sang-Hoon Park | 797b76b | 2020-03-11 23:21:14 +0000 | [diff] [blame] | 1169 | descriptors::EltwiseLayerDescriptor{ EltwiseOperation::Add, QuantizationInfo{ 0.0033590947277843952, 77 } }); |
Sang-Hoon Park | 6800117 | 2020-03-06 16:32:01 +0000 | [diff] [blame] | 1170 | INode *node_add_14 = _graph.node(id_add_14); |
| 1171 | node_add_14->set_common_node_parameters(NodeParams{ "add_14", target }); |
| 1172 | _graph.add_connection(id_add_13, 0, id_add_14, 0); |
| 1173 | _graph.add_connection(id_mul_14, 0, id_add_14, 1); |
| 1174 | |
| 1175 | NodeID id_block_15_1_BiasAdd = _graph.add_node<ConvolutionLayerNode>( |
| 1176 | PadStrideInfo |
| 1177 | { |
| 1178 | 1, 1, |
| 1179 | 1, 1, |
| 1180 | 1, 1, |
| 1181 | DimensionRoundingType::FLOOR }, |
| 1182 | 1, |
| 1183 | arm_compute::graph::ConvolutionMethod::Default, |
| 1184 | FastMathHint::Disabled, |
| 1185 | QuantizationInfo(0.004009159281849861, 130)); |
| 1186 | INode *node_block_15_1_BiasAdd = _graph.node(id_block_15_1_BiasAdd); |
| 1187 | node_block_15_1_BiasAdd->set_common_node_parameters(NodeParams{ "block_15_1_BiasAdd", target }); |
| 1188 | _graph.add_connection(id_add_14, 0, id_block_15_1_BiasAdd, 0); |
| 1189 | _graph.add_connection(id_block_15_1_FakeQuantWithMinMaxVars, 0, id_block_15_1_BiasAdd, 1); |
| 1190 | _graph.add_connection(id_block_15_1_Conv2D_bias, 0, id_block_15_1_BiasAdd, 2); |
| 1191 | |
| 1192 | NodeID id_mul_15 = _graph.add_node<EltwiseLayerNode>( |
Sang-Hoon Park | 797b76b | 2020-03-11 23:21:14 +0000 | [diff] [blame] | 1193 | descriptors::EltwiseLayerDescriptor{ EltwiseOperation::Mul, QuantizationInfo{ 0.0004008286341559142, 130 } }); |
Sang-Hoon Park | 6800117 | 2020-03-06 16:32:01 +0000 | [diff] [blame] | 1194 | INode *node_mul_15 = _graph.node(id_mul_15); |
| 1195 | node_mul_15->set_common_node_parameters(NodeParams{ "mul_15", target }); |
| 1196 | _graph.add_connection(id_block_15_1_BiasAdd, 0, id_mul_15, 0); |
| 1197 | _graph.add_connection(id_mul_15_y, 0, id_mul_15, 1); |
| 1198 | |
| 1199 | NodeID id_add_15 = _graph.add_node<EltwiseLayerNode>( |
Sang-Hoon Park | 797b76b | 2020-03-11 23:21:14 +0000 | [diff] [blame] | 1200 | descriptors::EltwiseLayerDescriptor{ EltwiseOperation::Add, QuantizationInfo{ 0.0035031239967793226, 78 } }); |
Sang-Hoon Park | 6800117 | 2020-03-06 16:32:01 +0000 | [diff] [blame] | 1201 | INode *node_add_15 = _graph.node(id_add_15); |
| 1202 | node_add_15->set_common_node_parameters(NodeParams{ "add_15", target }); |
| 1203 | _graph.add_connection(id_add_14, 0, id_add_15, 0); |
| 1204 | _graph.add_connection(id_mul_15, 0, id_add_15, 1); |
| 1205 | |
| 1206 | NodeID id_post_residual_BiasAdd = _graph.add_node<ConvolutionLayerNode>( |
| 1207 | PadStrideInfo |
| 1208 | { |
| 1209 | 1, 1, |
| 1210 | 1, 1, |
| 1211 | 1, 1, |
| 1212 | DimensionRoundingType::FLOOR }, |
| 1213 | 1, |
| 1214 | arm_compute::graph::ConvolutionMethod::Default, |
| 1215 | FastMathHint::Disabled, |
| 1216 | QuantizationInfo(0.005167999770492315, 112)); |
| 1217 | INode *node_post_residual_BiasAdd = _graph.node(id_post_residual_BiasAdd); |
| 1218 | node_post_residual_BiasAdd->set_common_node_parameters(NodeParams{ "post_residual_BiasAdd", target }); |
| 1219 | _graph.add_connection(id_add_15, 0, id_post_residual_BiasAdd, 0); |
| 1220 | _graph.add_connection(id_post_residual_FakeQuantWithMinMaxVars, 0, id_post_residual_BiasAdd, 1); |
| 1221 | _graph.add_connection(id_post_residual_Conv2D_bias, 0, id_post_residual_BiasAdd, 2); |
| 1222 | |
| 1223 | NodeID id_add_16 = _graph.add_node<EltwiseLayerNode>( |
Sang-Hoon Park | 797b76b | 2020-03-11 23:21:14 +0000 | [diff] [blame] | 1224 | descriptors::EltwiseLayerDescriptor{ EltwiseOperation::Add, QuantizationInfo{ 0.0065071373246610165, 89 } }); |
Sang-Hoon Park | 6800117 | 2020-03-06 16:32:01 +0000 | [diff] [blame] | 1225 | INode *node_add_16 = _graph.node(id_add_16); |
| 1226 | node_add_16->set_common_node_parameters(NodeParams{ "add_16", target }); |
| 1227 | _graph.add_connection(id_post_residual_BiasAdd, 0, id_add_16, 0); |
| 1228 | _graph.add_connection(id_pre_residual_BiasAdd, 0, id_add_16, 1); |
| 1229 | |
| 1230 | NodeID id_pre_upscale_BiasAdd = _graph.add_node<ConvolutionLayerNode>( |
| 1231 | PadStrideInfo |
| 1232 | { |
| 1233 | 1, 1, |
| 1234 | 1, 1, |
| 1235 | 1, 1, |
| 1236 | DimensionRoundingType::FLOOR }, |
| 1237 | 1, |
| 1238 | arm_compute::graph::ConvolutionMethod::Default, |
| 1239 | FastMathHint::Disabled, |
| 1240 | QuantizationInfo(0.005013593938201666, 26)); |
| 1241 | INode *node_pre_upscale_BiasAdd = _graph.node(id_pre_upscale_BiasAdd); |
| 1242 | node_pre_upscale_BiasAdd->set_common_node_parameters(NodeParams{ "pre_upscale_BiasAdd", target }); |
| 1243 | _graph.add_connection(id_add_16, 0, id_pre_upscale_BiasAdd, 0); |
| 1244 | _graph.add_connection(id_pre_upscale_FakeQuantWithMinMaxVars, 0, id_pre_upscale_BiasAdd, 1); |
| 1245 | _graph.add_connection(id_pre_upscale_Conv2D_bias, 0, id_pre_upscale_BiasAdd, 2); |
| 1246 | |
| 1247 | NodeID id_upscale_net_FakeQuantWithMinMaxVars_1 = _graph.add_node<DeconvolutionLayerNode>( |
Sang-Hoon Park | 104fbd7 | 2020-03-13 11:31:53 +0000 | [diff] [blame^] | 1248 | descriptors::DeconvolutionLayerDescriptor |
Sang-Hoon Park | 6800117 | 2020-03-06 16:32:01 +0000 | [diff] [blame] | 1249 | { |
Sang-Hoon Park | 104fbd7 | 2020-03-13 11:31:53 +0000 | [diff] [blame^] | 1250 | PadStrideInfo{ |
| 1251 | 2, 2, |
| 1252 | 0, 0, |
| 1253 | 0, 0, |
| 1254 | DimensionRoundingType::FLOOR }, |
| 1255 | QuantizationInfo{ 0.004990961868315935, 26 } }); |
Sang-Hoon Park | 6800117 | 2020-03-06 16:32:01 +0000 | [diff] [blame] | 1256 | INode *node_upscale_net_FakeQuantWithMinMaxVars_1 = _graph.node(id_upscale_net_FakeQuantWithMinMaxVars_1); |
| 1257 | node_upscale_net_FakeQuantWithMinMaxVars_1->set_common_node_parameters(NodeParams{ "upscale_net_FakeQuantWithMinMaxVars_1", target }); |
| 1258 | _graph.add_connection(id_pre_upscale_BiasAdd, 0, id_upscale_net_FakeQuantWithMinMaxVars_1, 0); |
| 1259 | _graph.add_connection(id_upscale_net_FakeQuantWithMinMaxVars_transposed, 0, id_upscale_net_FakeQuantWithMinMaxVars_1, 1); |
| 1260 | TensorShape output_shape; |
| 1261 | output_shape.set(0, 3, false).set(1, 720, false).set(2, 1280, false).set(3, 1, false); |
| 1262 | |
| 1263 | NodeID id_output_140211982446376 = _graph.add_node<OutputNode>(); |
| 1264 | INode *node_output_140211982446376 = _graph.node(id_output_140211982446376); |
| 1265 | node_output_140211982446376->set_common_node_parameters(NodeParams{ "output_140211982446376", target }); |
| 1266 | _graph.add_connection(id_upscale_net_FakeQuantWithMinMaxVars_1, 0, id_output_140211982446376, 0); |
| 1267 | node_output_140211982446376->input(0)->set_accessor(get_npy_output_accessor(expected_output_filename.value(), output_shape, common_params.data_type, |
| 1268 | common_params.data_layout)); |
| 1269 | |
| 1270 | return true; |
| 1271 | } |
| 1272 | |
| 1273 | arm_compute::graph::Graph &graph() |
| 1274 | { |
| 1275 | return _graph; |
| 1276 | } |
| 1277 | |
| 1278 | private: |
| 1279 | arm_compute::graph::Graph _graph; |
| 1280 | }; |
| 1281 | |
| 1282 | #endif /* ARM_COMPUTE_GRAPH_EDSR_H */ |