inference-engine/tests/unit/cnn_network/cnn_net_reader_impl_test.cpp

   1 // Copyright (C) 2018 Intel Corporation
   2 //
   3 // SPDX-License-Identifier: Apache-2.0
   4 //
   5
   6 #include <gtest/gtest.h>
   7 #include <inference_engine/parsers.h>
   8 #include <inference_engine/ie_cnn_net_reader_impl.h>
   9 #include <test_model_path.hpp>
  10 #include <mock_icnn_network.hpp>
  11 #include <gmock/gmock-more-actions.h>
  12 #include "cnn_network_impl.hpp"
  13 #include "mock_iformat_parser.hpp"
  14
  15 using namespace testing;
  16 using namespace InferenceEngine;
  17 using namespace InferenceEngine::details;
  18 using namespace std;
  19
  20 class CNNNetReaderImplTest : public ::testing::Test {
  21 public:
  22     StatusCode sts = OK;
  23     ResponseDesc resp;
  24 };
  25
  26 struct MockFormatParserCreator : public FormatParserCreator {
  27     MockFormatParserCreator() {
  28         _parser = make_shared<MockIFormatParser>();
  29     }
  30     std::shared_ptr<IFormatParser> create(int version) override {
  31         return _parser;
  32     }
  33
  34     MockIFormatParser* getParser() {
  35         return _parser.get();
  36     }
  37
  38 private:
  39     std::shared_ptr<MockIFormatParser> _parser;
  40 };
  41
  42 TEST_F(CNNNetReaderImplTest, validateIsCalled) {
  43     std::string model =
  44             "<net name=\"PVANET\" version=\"2\" batch=\"1\">"
  45             "    <layers>"
  46             "        <layer name=\"data\" type=\"Input\" precision=\"FP32\" id=\"0\">"
  47             "            <output>"
  48             "                <port id=\"0\">"
  49             "                    <dim>1</dim>"
  50             "                    <dim>3</dim>"
  51             "                    <dim>544</dim>"
  52             "                    <dim>992</dim>"
  53             "                </port>"
  54             "            </output>"
  55             "        </layer>"
  56             "        <layer name=\"conv1_1_conv\" type=\"Convolution\" precision=\"FP32\" id=\"2\">"
  57             "            <convolution_data stride-x=\"2\" stride-y=\"2\" pad-x=\"3\" pad-y=\"3\" kernel-x=\"7\" kernel-y=\"7\" output=\"16\" group=\"1\"/>"
  58             "            <input>"
  59             "                <port id=\"2\">"
  60             "                    <dim>1</dim>"
  61             "                    <dim>3</dim>"
  62             "                    <dim>544</dim>"
  63             "                    <dim>992</dim>"
  64             "                </port>"
  65             "            </input>"
  66             "            <output>"
  67             "                <port id=\"3\">"
  68             "                    <dim>1</dim>"
  69             "                    <dim>16</dim>"
  70             "                    <dim>272</dim>"
  71             "                    <dim>496</dim>"
  72             "                </port>"
  73             "            </output>"
  74             "            <weights offset=\"0\" size=\"9408\"/>"
  75             "            <biases offset=\"9408\" size=\"64\"/>"
  76             "        </layer>"
  77             "        <layer name=\"conv1_1_neg\" type=\"Power\" precision=\"FP32\" id=\"3\">"
  78             "            <power_data power=\"1\" scale=\"-1\" shift=\"0\"/>"
  79             "            <input>"
  80             "                <port id=\"4\">"
  81             "                    <dim>1</dim>"
  82             "                    <dim>16</dim>"
  83             "                    <dim>272</dim>"
  84             "                    <dim>496</dim>"
  85             "                </port>"
  86             "            </input>"
  87             "            <output>"
  88             "                <port id=\"5\">"
  89             "                    <dim>1</dim>"
  90             "                    <dim>16</dim>"
  91             "                    <dim>272</dim>"
  92             "                    <dim>496</dim>"
  93             "                </port>"
  94             "            </output>"
  95             "        </layer>"
  96             "        <layer name=\"conv1_1_concat\" type=\"Concat\" precision=\"FP32\" id=\"4\">"
  97             "            <concat_data axis=\"1\"/>"
  98             "            <input>"
  99             "                <port id=\"6\">"
 100             "                    <dim>1</dim>"
 101             "                    <dim>16</dim>"
 102             "                    <dim>272</dim>"
 103             "                    <dim>496</dim>"
 104             "                </port>"
 105             "                <port id=\"7\">"
 106             "                    <dim>1</dim>"
 107             "                    <dim>16</dim>"
 108             "                    <dim>272</dim>"
 109             "                    <dim>496</dim>"
 110             "                </port>"
 111             "            </input>"
 112             "            <output>"
 113             "                <port id=\"8\">"
 114             "                    <dim>1</dim>"
 115             "                    <dim>32</dim>"
 116             "                    <dim>272</dim>"
 117             "                    <dim>496</dim>"
 118             "                </port>"
 119             "            </output>"
 120             "        </layer>"
 121             "        <layer name=\"conv1_1_scale\" type=\"ScaleShift\" precision=\"FP32\" id=\"5\">"
 122             "            <input>"
 123             "                <port id=\"9\">"
 124             "                    <dim>1</dim>"
 125             "                    <dim>32</dim>"
 126             "                    <dim>272</dim>"
 127             "                    <dim>496</dim>"
 128             "                </port>"
 129             "            </input>"
 130             "            <output>"
 131             "                <port id=\"10\">"
 132             "                    <dim>1</dim>"
 133             "                    <dim>32</dim>"
 134             "                    <dim>272</dim>"
 135             "                    <dim>496</dim>"
 136             "                </port>"
 137             "            </output>"
 138             "            <weights offset=\"9472\" size=\"128\"/>"
 139             "            <biases offset=\"9600\" size=\"128\"/>"
 140             "        </layer>"
 141             "        <layer name=\"conv1_1_relu\" type=\"ReLU\" precision=\"FP32\" id=\"6\">"
 142             "            <data negative_slope=\"0\" engine=\"caffe.ReLUParameter.DEFAULT\"/>"
 143             "            <input>"
 144             "                <port id=\"11\">"
 145             "                    <dim>1</dim>"
 146             "                    <dim>32</dim>"
 147             "                    <dim>272</dim>"
 148             "                    <dim>496</dim>"
 149             "                </port>"
 150             "            </input>"
 151             "            <output>"
 152             "                <port id=\"12\">"
 153             "                    <dim>1</dim>"
 154             "                    <dim>32</dim>"
 155             "                    <dim>272</dim>"
 156             "                    <dim>496</dim>"
 157             "                </port>"
 158             "            </output>"
 159             "        </layer>"
 160             "        <layer name=\"pool1\" type=\"Pooling\" precision=\"FP32\" id=\"7\">"
 161             "            <pooling_data kernel-x=\"3\" kernel-y=\"3\" pad-x=\"0\" pad-y=\"0\" stride-x=\"2\" stride-y=\"2\" rounding-type=\"ceil\" pool-method=\"max\"/>"
 162             "            <input>"
 163             "                <port id=\"13\">"
 164             "                    <dim>1</dim>"
 165             "                    <dim>32</dim>"
 166             "                    <dim>272</dim>"
 167             "                    <dim>496</dim>"
 168             "                </port>"
 169             "            </input>"
 170             "            <output>"
 171             "                <port id=\"14\">"
 172             "                    <dim>1</dim>"
 173             "                    <dim>32</dim>"
 174             "                    <dim>136</dim>"
 175             "                    <dim>248</dim>"
 176             "                </port>"
 177             "            </output>"
 178             "        </layer>"
 179             "    </layers>"
 180             "    <edges>"
 181             "        <edge from-layer=\"0\" from-port=\"0\" to-layer=\"2\" to-port=\"2\"/>"
 182             "        <edge from-layer=\"2\" from-port=\"3\" to-layer=\"3\" to-port=\"4\"/>"
 183             "        <edge from-layer=\"2\" from-port=\"3\" to-layer=\"4\" to-port=\"6\"/>"
 184             "        <edge from-layer=\"3\" from-port=\"5\" to-layer=\"4\" to-port=\"7\"/>"
 185             "        <edge from-layer=\"4\" from-port=\"8\" to-layer=\"5\" to-port=\"9\"/>"
 186             "        <edge from-layer=\"5\" from-port=\"10\" to-layer=\"6\" to-port=\"11\"/>"
 187             "        <edge from-layer=\"6\" from-port=\"12\" to-layer=\"7\" to-port=\"13\"/>"
 188             "    </edges>"
 189             "</net>";
 190     auto parserCreator = make_shared<MockFormatParserCreator>();
 191     CNNNetReaderImpl reader(parserCreator);
 192     auto network = make_shared<MockCNNNetworkImpl>();
 193     auto name = std::string{"AlexNet"};
 194
 195     EXPECT_CALL(*parserCreator->getParser(), Parse(_)).Times(1).WillOnce(Return(network));
 196     EXPECT_CALL(*network.get(), validate(_)).Times(1);
 197     EXPECT_CALL(*network.get(), getName()).Times(1).WillOnce(ReturnRef(name));
 198
 199     ASSERT_NO_THROW(sts = reader.ReadNetwork(model.data(), model.length(), &resp));
 200     ASSERT_EQ(OK, sts);
 201 }
 202
 203 TEST_F(CNNNetReaderImplTest, cycleIsDetectedInReader) {
 204     std::string model =
 205             "<net batch=\"1\" name=\"model\" version=\"2\">"
 206             "    <layers>"
 207             "        <layer id=\"0\" name=\"data\" precision=\"FP32\" type=\"Input\">"
 208             "            <output>"
 209             "                <port id=\"0\">"
 210             "                    <dim>1</dim>"
 211             "                    <dim>3</dim>"
 212             "                    <dim>227</dim>"
 213             "                    <dim>227</dim>"
 214             "                </port>"
 215             "            </output>"
 216             "        </layer>"
 217             "        <layer id=\"1\" name=\"conv1\" precision=\"FP32\" type=\"Convolution\">"
 218             "            <data dilation-x=\"1\" dilation-y=\"1\" group=\"1\" kernel-x=\"3\" kernel-y=\"3\" output=\"64\" pad-x=\"0\" pad-y=\"0\" stride=\"1,1,2,2\" stride-x=\"2\" stride-y=\"2\"/>"
 219             "            <input>"
 220             "                <port id=\"0\">"
 221             "                    <dim>1</dim>"
 222             "                    <dim>3</dim>"
 223             "                    <dim>227</dim>"
 224             "                    <dim>227</dim>"
 225             "                </port>"
 226             "            </input>"
 227             "            <output>"
 228             "                <port id=\"3\">"
 229             "                    <dim>1</dim>"
 230             "                    <dim>64</dim>"
 231             "                    <dim>113</dim>"
 232             "                    <dim>113</dim>"
 233             "                </port>"
 234             "            </output>"
 235             "            <blobs>"
 236             "                <weights offset=\"0\" size=\"6912\"/>"
 237             "                <biases offset=\"6912\" size=\"256\"/>"
 238             "            </blobs>"
 239             "        </layer>"
 240             "        <layer id=\"2\" name=\"relu_conv1\" precision=\"FP32\" type=\"ReLU\">"
 241             "            <data engine=\"caffe.ReLUParameter.DEFAULT\" negative_slope=\"0.0\"/>"
 242             "            <input>"
 243             "                <port id=\"0\">"
 244             "                    <dim>1</dim>"
 245             "                    <dim>64</dim>"
 246             "                    <dim>113</dim>"
 247             "                    <dim>113</dim>"
 248             "                </port>"
 249             "            </input>"
 250             "            <output>"
 251             "                <port id=\"1\">"
 252             "                    <dim>1</dim>"
 253             "                    <dim>64</dim>"
 254             "                    <dim>113</dim>"
 255             "                    <dim>113</dim>"
 256             "                </port>"
 257             "            </output>"
 258             "        </layer>"
 259             "        <layer id=\"3\" name=\"pool1\" precision=\"FP32\" type=\"Pooling\">"
 260             "            <data exclude-pad=\"false\" kernel-x=\"3\" kernel-y=\"3\" pad-x=\"0\" pad-y=\"0\" pool-method=\"max\" rounding_type=\"ceil\" stride=\"1,1,2,2\" stride-x=\"2\" stride-y=\"2\"/>"
 261             "            <input>"
 262             "                <port id=\"0\">"
 263             "                    <dim>1</dim>"
 264             "                    <dim>64</dim>"
 265             "                    <dim>113</dim>"
 266             "                    <dim>113</dim>"
 267             "                </port>"
 268             "            </input>"
 269             "            <output>"
 270             "                <port id=\"1\">"
 271             "                    <dim>1</dim>"
 272             "                    <dim>64</dim>"
 273             "                    <dim>56</dim>"
 274             "                    <dim>56</dim>"
 275             "                </port>"
 276             "            </output>"
 277             "        </layer>"
 278             "        <layer id=\"4\" name=\"fire2/squeeze1x1\" precision=\"FP32\" type=\"Convolution\">"
 279             "            <data dilation-x=\"1\" dilation-y=\"1\" group=\"1\" kernel-x=\"1\" kernel-y=\"1\" output=\"16\" pad-x=\"0\" pad-y=\"0\" stride=\"1,1,1,1\" stride-x=\"1\" stride-y=\"1\"/>"
 280             "            <input>"
 281             "                <port id=\"0\">"
 282             "                    <dim>1</dim>"
 283             "                    <dim>64</dim>"
 284             "                    <dim>56</dim>"
 285             "                    <dim>56</dim>"
 286             "                </port>"
 287             "            </input>"
 288             "            <output>"
 289             "                <port id=\"3\">"
 290             "                    <dim>1</dim>"
 291             "                    <dim>16</dim>"
 292             "                    <dim>56</dim>"
 293             "                    <dim>56</dim>"
 294             "                </port>"
 295             "            </output>"
 296             "            <blobs>"
 297             "                <weights offset=\"7168\" size=\"4096\"/>"
 298             "                <biases offset=\"11264\" size=\"64\"/>"
 299             "            </blobs>"
 300             "        </layer>"
 301             "        <layer id=\"5\" name=\"fire2/relu_squeeze1x1\" precision=\"FP32\" type=\"ReLU\">"
 302             "            <data engine=\"caffe.ReLUParameter.DEFAULT\" negative_slope=\"0.0\"/>"
 303             "            <input>"
 304             "                <port id=\"0\">"
 305             "                    <dim>1</dim>"
 306             "                    <dim>16</dim>"
 307             "                    <dim>56</dim>"
 308             "                    <dim>56</dim>"
 309             "                </port>"
 310             "            </input>"
 311             "            <output>"
 312             "                <port id=\"1\">"
 313             "                    <dim>1</dim>"
 314             "                    <dim>16</dim>"
 315             "                    <dim>56</dim>"
 316             "                    <dim>56</dim>"
 317             "                </port>"
 318             "            </output>"
 319             "        </layer>"
 320             "        <layer id=\"6\" name=\"fire2/expand1x1\" precision=\"FP32\" type=\"Convolution\">"
 321             "            <data dilation-x=\"1\" dilation-y=\"1\" group=\"1\" kernel-x=\"1\" kernel-y=\"1\" output=\"64\" pad-x=\"0\" pad-y=\"0\" stride=\"1,1,1,1\" stride-x=\"1\" stride-y=\"1\"/>"
 322             "            <input>"
 323             "                <port id=\"0\">"
 324             "                    <dim>1</dim>"
 325             "                    <dim>16</dim>"
 326             "                    <dim>56</dim>"
 327             "                    <dim>56</dim>"
 328             "                </port>"
 329             "            </input>"
 330             "            <output>"
 331             "                <port id=\"3\">"
 332             "                    <dim>1</dim>"
 333             "                    <dim>64</dim>"
 334             "                    <dim>56</dim>"
 335             "                    <dim>56</dim>"
 336             "                </port>"
 337             "            </output>"
 338             "            <blobs>"
 339             "                <weights offset=\"11328\" size=\"4096\"/>"
 340             "                <biases offset=\"15424\" size=\"256\"/>"
 341             "            </blobs>"
 342             "        </layer>"
 343             "        <layer id=\"7\" name=\"fire2/relu_expand1x1\" precision=\"FP32\" type=\"ReLU\">"
 344             "            <data engine=\"caffe.ReLUParameter.DEFAULT\" negative_slope=\"0.0\"/>"
 345             "            <input>"
 346             "                <port id=\"0\">"
 347             "                    <dim>1</dim>"
 348             "                    <dim>64</dim>"
 349             "                    <dim>56</dim>"
 350             "                    <dim>56</dim>"
 351             "                </port>"
 352             "            </input>"
 353             "            <output>"
 354             "                <port id=\"1\">"
 355             "                    <dim>1</dim>"
 356             "                    <dim>64</dim>"
 357             "                    <dim>56</dim>"
 358             "                    <dim>56</dim>"
 359             "                </port>"
 360             "            </output>"
 361             "        </layer>"
 362             "        <layer id=\"8\" name=\"fire2/expand3x3\" precision=\"FP32\" type=\"Convolution\">"
 363             "            <data dilation-x=\"1\" dilation-y=\"1\" group=\"1\" kernel-x=\"3\" kernel-y=\"3\" output=\"64\" pad-x=\"1\" pad-y=\"1\" stride=\"1,1,1,1\" stride-x=\"1\" stride-y=\"1\"/>"
 364             "            <input>"
 365             "                <port id=\"0\">"
 366             "                    <dim>1</dim>"
 367             "                    <dim>16</dim>"
 368             "                    <dim>56</dim>"
 369             "                    <dim>56</dim>"
 370             "                </port>"
 371             "                <port id=\"1\">"
 372             "                    <dim>1</dim>"
 373             "                    <dim>16</dim>"
 374             "                    <dim>56</dim>"
 375             "                    <dim>56</dim>"
 376             "                </port>"
 377             "            </input>"
 378             "            <output>"
 379             "                <port id=\"3\">"
 380             "                    <dim>1</dim>"
 381             "                    <dim>64</dim>"
 382             "                    <dim>56</dim>"
 383             "                    <dim>56</dim>"
 384             "                </port>"
 385             "            </output>"
 386             "            <blobs>"
 387             "                <weights offset=\"15680\" size=\"36864\"/>"
 388             "                <biases offset=\"52544\" size=\"256\"/>"
 389             "            </blobs>"
 390             "        </layer>"
 391             "        <layer id=\"9\" name=\"fire2/relu_expand3x3\" precision=\"FP32\" type=\"ReLU\">"
 392             "            <data engine=\"caffe.ReLUParameter.DEFAULT\" negative_slope=\"0.0\"/>"
 393             "            <input>"
 394             "                <port id=\"0\">"
 395             "                    <dim>1</dim>"
 396             "                    <dim>64</dim>"
 397             "                    <dim>56</dim>"
 398             "                    <dim>56</dim>"
 399             "                </port>"
 400             "            </input>"
 401             "            <output>"
 402             "                <port id=\"1\">"
 403             "                    <dim>1</dim>"
 404             "                    <dim>64</dim>"
 405             "                    <dim>56</dim>"
 406             "                    <dim>56</dim>"
 407             "                </port>"
 408             "            </output>"
 409             "        </layer>"
 410             "        <layer id=\"10\" name=\"fire2/concat\" precision=\"FP32\" type=\"Concat\">"
 411             "            <data axis=\"1\"/>"
 412             "            <input>"
 413             "                <port id=\"0\">"
 414             "                    <dim>1</dim>"
 415             "                    <dim>64</dim>"
 416             "                    <dim>56</dim>"
 417             "                    <dim>56</dim>"
 418             "                </port>"
 419             "                <port id=\"1\">"
 420             "                    <dim>1</dim>"
 421             "                    <dim>64</dim>"
 422             "                    <dim>56</dim>"
 423             "                    <dim>56</dim>"
 424             "                </port>"
 425             "            </input>"
 426             "            <output>"
 427             "                <port id=\"2\">"
 428             "                    <dim>1</dim>"
 429             "                    <dim>128</dim>"
 430             "                    <dim>56</dim>"
 431             "                    <dim>56</dim>"
 432             "                </port>"
 433             "            </output>"
 434             "        </layer>"
 435             "        <layer id=\"11\" name=\"fire3/squeeze1x1\" precision=\"FP32\" type=\"Convolution\">"
 436             "            <data dilation-x=\"1\" dilation-y=\"1\" group=\"1\" kernel-x=\"1\" kernel-y=\"1\" output=\"16\" pad-x=\"0\" pad-y=\"0\" stride=\"1,1,1,1\" stride-x=\"1\" stride-y=\"1\"/>"
 437             "            <input>"
 438             "                <port id=\"0\">"
 439             "                    <dim>1</dim>"
 440             "                    <dim>128</dim>"
 441             "                    <dim>56</dim>"
 442             "                    <dim>56</dim>"
 443             "                </port>"
 444             "            </input>"
 445             "            <output>"
 446             "                <port id=\"3\">"
 447             "                    <dim>1</dim>"
 448             "                    <dim>16</dim>"
 449             "                    <dim>56</dim>"
 450             "                    <dim>56</dim>"
 451             "                </port>"
 452             "                <port id=\"4\">"
 453             "                    <dim>1</dim>"
 454             "                    <dim>16</dim>"
 455             "                    <dim>56</dim>"
 456             "                    <dim>56</dim>"
 457             "                </port>"
 458             "            </output>"
 459             "            <blobs>"
 460             "                <weights offset=\"52800\" size=\"8192\"/>"
 461             "                <biases offset=\"60992\" size=\"64\"/>"
 462             "            </blobs>"
 463             "        </layer>"
 464             "        <layer id=\"12\" name=\"fire3/relu_squeeze1x1\" precision=\"FP32\" type=\"ReLU\">"
 465             "            <data engine=\"caffe.ReLUParameter.DEFAULT\" negative_slope=\"0.0\"/>"
 466             "            <input>"
 467             "                <port id=\"0\">"
 468             "                    <dim>1</dim>"
 469             "                    <dim>16</dim>"
 470             "                    <dim>56</dim>"
 471             "                    <dim>56</dim>"
 472             "                </port>"
 473             "            </input>"
 474             "            <output>"
 475             "                <port id=\"1\">"
 476             "                    <dim>1</dim>"
 477             "                    <dim>16</dim>"
 478             "                    <dim>56</dim>"
 479             "                    <dim>56</dim>"
 480             "                </port>"
 481             "            </output>"
 482             "        </layer>"
 483             "        <layer id=\"13\" name=\"fire3/expand1x1\" precision=\"FP32\" type=\"Convolution\">"
 484             "            <data dilation-x=\"1\" dilation-y=\"1\" group=\"1\" kernel-x=\"1\" kernel-y=\"1\" output=\"64\" pad-x=\"0\" pad-y=\"0\" stride=\"1,1,1,1\" stride-x=\"1\" stride-y=\"1\"/>"
 485             "            <input>"
 486             "                <port id=\"0\">"
 487             "                    <dim>1</dim>"
 488             "                    <dim>16</dim>"
 489             "                    <dim>56</dim>"
 490             "                    <dim>56</dim>"
 491             "                </port>"
 492             "            </input>"
 493             "            <output>"
 494             "                <port id=\"3\">"
 495             "                    <dim>1</dim>"
 496             "                    <dim>64</dim>"
 497             "                    <dim>56</dim>"
 498             "                    <dim>56</dim>"
 499             "                </port>"
 500             "            </output>"
 501             "            <blobs>"
 502             "                <weights offset=\"61056\" size=\"4096\"/>"
 503             "                <biases offset=\"65152\" size=\"256\"/>"
 504             "            </blobs>"
 505             "        </layer>"
 506             "        <layer id=\"14\" name=\"fire3/relu_expand1x1\" precision=\"FP32\" type=\"ReLU\">"
 507             "            <data engine=\"caffe.ReLUParameter.DEFAULT\" negative_slope=\"0.0\"/>"
 508             "            <input>"
 509             "                <port id=\"0\">"
 510             "                    <dim>1</dim>"
 511             "                    <dim>64</dim>"
 512             "                    <dim>56</dim>"
 513             "                    <dim>56</dim>"
 514             "                </port>"
 515             "            </input>"
 516             "            <output>"
 517             "                <port id=\"1\">"
 518             "                    <dim>1</dim>"
 519             "                    <dim>64</dim>"
 520             "                    <dim>56</dim>"
 521             "                    <dim>56</dim>"
 522             "                </port>"
 523             "            </output>"
 524             "        </layer>"
 525             "        <layer id=\"15\" name=\"fire3/expand3x3\" precision=\"FP32\" type=\"Convolution\">"
 526             "            <data dilation-x=\"1\" dilation-y=\"1\" group=\"1\" kernel-x=\"3\" kernel-y=\"3\" output=\"64\" pad-x=\"1\" pad-y=\"1\" stride=\"1,1,1,1\" stride-x=\"1\" stride-y=\"1\"/>"
 527             "            <input>"
 528             "                <port id=\"0\">"
 529             "                    <dim>1</dim>"
 530             "                    <dim>16</dim>"
 531             "                    <dim>56</dim>"
 532             "                    <dim>56</dim>"
 533             "                </port>"
 534             "            </input>"
 535             "            <output>"
 536             "                <port id=\"3\">"
 537             "                    <dim>1</dim>"
 538             "                    <dim>64</dim>"
 539             "                    <dim>56</dim>"
 540             "                    <dim>56</dim>"
 541             "                </port>"
 542             "            </output>"
 543             "            <blobs>"
 544             "                <weights offset=\"65408\" size=\"36864\"/>"
 545             "                <biases offset=\"102272\" size=\"256\"/>"
 546             "            </blobs>"
 547             "        </layer>"
 548             "        <layer id=\"16\" name=\"fire3/relu_expand3x3\" precision=\"FP32\" type=\"ReLU\">"
 549             "            <data engine=\"caffe.ReLUParameter.DEFAULT\" negative_slope=\"0.0\"/>"
 550             "            <input>"
 551             "                <port id=\"0\">"
 552             "                    <dim>1</dim>"
 553             "                    <dim>64</dim>"
 554             "                    <dim>56</dim>"
 555             "                    <dim>56</dim>"
 556             "                </port>"
 557             "            </input>"
 558             "            <output>"
 559             "                <port id=\"1\">"
 560             "                    <dim>1</dim>"
 561             "                    <dim>64</dim>"
 562             "                    <dim>56</dim>"
 563             "                    <dim>56</dim>"
 564             "                </port>"
 565             "            </output>"
 566             "        </layer>"
 567             "        <layer id=\"17\" name=\"fire3/concat\" precision=\"FP32\" type=\"Concat\">"
 568             "            <data axis=\"1\"/>"
 569             "            <input>"
 570             "                <port id=\"0\">"
 571             "                    <dim>1</dim>"
 572             "                    <dim>64</dim>"
 573             "                    <dim>56</dim>"
 574             "                    <dim>56</dim>"
 575             "                </port>"
 576             "                <port id=\"1\">"
 577             "                    <dim>1</dim>"
 578             "                    <dim>64</dim>"
 579             "                    <dim>56</dim>"
 580             "                    <dim>56</dim>"
 581             "                </port>"
 582             "            </input>"
 583             "            <output>"
 584             "                <port id=\"2\">"
 585             "                    <dim>1</dim>"
 586             "                    <dim>128</dim>"
 587             "                    <dim>56</dim>"
 588             "                    <dim>56</dim>"
 589             "                </port>"
 590             "            </output>"
 591             "        </layer>"
 592             "        <layer id=\"18\" name=\"pool3\" precision=\"FP32\" type=\"Pooling\">"
 593             "            <data exclude-pad=\"false\" kernel-x=\"3\" kernel-y=\"3\" pad-x=\"0\" pad-y=\"0\" pool-method=\"max\" rounding_type=\"ceil\" stride=\"1,1,2,2\" stride-x=\"2\" stride-y=\"2\"/>"
 594             "            <input>"
 595             "                <port id=\"0\">"
 596             "                    <dim>1</dim>"
 597             "                    <dim>128</dim>"
 598             "                    <dim>56</dim>"
 599             "                    <dim>56</dim>"
 600             "                </port>"
 601             "            </input>"
 602             "            <output>"
 603             "                <port id=\"1\">"
 604             "                    <dim>1</dim>"
 605             "                    <dim>128</dim>"
 606             "                    <dim>28</dim>"
 607             "                    <dim>28</dim>"
 608             "                </port>"
 609             "            </output>"
 610             "        </layer>"
 611             "        <layer id=\"19\" name=\"fire4/squeeze1x1\" precision=\"FP32\" type=\"Convolution\">"
 612             "            <data dilation-x=\"1\" dilation-y=\"1\" group=\"1\" kernel-x=\"1\" kernel-y=\"1\" output=\"32\" pad-x=\"0\" pad-y=\"0\" stride=\"1,1,1,1\" stride-x=\"1\" stride-y=\"1\"/>"
 613             "            <input>"
 614             "                <port id=\"0\">"
 615             "                    <dim>1</dim>"
 616             "                    <dim>128</dim>"
 617             "                    <dim>28</dim>"
 618             "                    <dim>28</dim>"
 619             "                </port>"
 620             "            </input>"
 621             "            <output>"
 622             "                <port id=\"3\">"
 623             "                    <dim>1</dim>"
 624             "                    <dim>32</dim>"
 625             "                    <dim>28</dim>"
 626             "                    <dim>28</dim>"
 627             "                </port>"
 628             "            </output>"
 629             "            <blobs>"
 630             "                <weights offset=\"102528\" size=\"16384\"/>"
 631             "                <biases offset=\"118912\" size=\"128\"/>"
 632             "            </blobs>"
 633             "        </layer>"
 634             "        <layer id=\"20\" name=\"fire4/relu_squeeze1x1\" precision=\"FP32\" type=\"ReLU\">"
 635             "            <data engine=\"caffe.ReLUParameter.DEFAULT\" negative_slope=\"0.0\"/>"
 636             "            <input>"
 637             "                <port id=\"0\">"
 638             "                    <dim>1</dim>"
 639             "                    <dim>32</dim>"
 640             "                    <dim>28</dim>"
 641             "                    <dim>28</dim>"
 642             "                </port>"
 643             "            </input>"
 644             "            <output>"
 645             "                <port id=\"1\">"
 646             "                    <dim>1</dim>"
 647             "                    <dim>32</dim>"
 648             "                    <dim>28</dim>"
 649             "                    <dim>28</dim>"
 650             "                </port>"
 651             "            </output>"
 652             "        </layer>"
 653             "        <layer id=\"21\" name=\"fire4/expand1x1\" precision=\"FP32\" type=\"Convolution\">"
 654             "            <data dilation-x=\"1\" dilation-y=\"1\" group=\"1\" kernel-x=\"1\" kernel-y=\"1\" output=\"128\" pad-x=\"0\" pad-y=\"0\" stride=\"1,1,1,1\" stride-x=\"1\" stride-y=\"1\"/>"
 655             "            <input>"
 656             "                <port id=\"0\">"
 657             "                    <dim>1</dim>"
 658             "                    <dim>32</dim>"
 659             "                    <dim>28</dim>"
 660             "                    <dim>28</dim>"
 661             "                </port>"
 662             "            </input>"
 663             "            <output>"
 664             "                <port id=\"3\">"
 665             "                    <dim>1</dim>"
 666             "                    <dim>128</dim>"
 667             "                    <dim>28</dim>"
 668             "                    <dim>28</dim>"
 669             "                </port>"
 670             "            </output>"
 671             "            <blobs>"
 672             "                <weights offset=\"119040\" size=\"16384\"/>"
 673             "                <biases offset=\"135424\" size=\"512\"/>"
 674             "            </blobs>"
 675             "        </layer>"
 676             "        <layer id=\"22\" name=\"fire4/relu_expand1x1\" precision=\"FP32\" type=\"ReLU\">"
 677             "            <data engine=\"caffe.ReLUParameter.DEFAULT\" negative_slope=\"0.0\"/>"
 678             "            <input>"
 679             "                <port id=\"0\">"
 680             "                    <dim>1</dim>"
 681             "                    <dim>128</dim>"
 682             "                    <dim>28</dim>"
 683             "                    <dim>28</dim>"
 684             "                </port>"
 685             "            </input>"
 686             "            <output>"
 687             "                <port id=\"1\">"
 688             "                    <dim>1</dim>"
 689             "                    <dim>128</dim>"
 690             "                    <dim>28</dim>"
 691             "                    <dim>28</dim>"
 692             "                </port>"
 693             "            </output>"
 694             "        </layer>"
 695             "        <layer id=\"23\" name=\"fire4/expand3x3\" precision=\"FP32\" type=\"Convolution\">"
 696             "            <data dilation-x=\"1\" dilation-y=\"1\" group=\"1\" kernel-x=\"3\" kernel-y=\"3\" output=\"128\" pad-x=\"1\" pad-y=\"1\" stride=\"1,1,1,1\" stride-x=\"1\" stride-y=\"1\"/>"
 697             "            <input>"
 698             "                <port id=\"0\">"
 699             "                    <dim>1</dim>"
 700             "                    <dim>32</dim>"
 701             "                    <dim>28</dim>"
 702             "                    <dim>28</dim>"
 703             "                </port>"
 704             "            </input>"
 705             "            <output>"
 706             "                <port id=\"3\">"
 707             "                    <dim>1</dim>"
 708             "                    <dim>128</dim>"
 709             "                    <dim>28</dim>"
 710             "                    <dim>28</dim>"
 711             "                </port>"
 712             "            </output>"
 713             "            <blobs>"
 714             "                <weights offset=\"135936\" size=\"147456\"/>"
 715             "                <biases offset=\"283392\" size=\"512\"/>"
 716             "            </blobs>"
 717             "        </layer>"
 718             "        <layer id=\"24\" name=\"fire4/relu_expand3x3\" precision=\"FP32\" type=\"ReLU\">"
 719             "            <data engine=\"caffe.ReLUParameter.DEFAULT\" negative_slope=\"0.0\"/>"
 720             "            <input>"
 721             "                <port id=\"0\">"
 722             "                    <dim>1</dim>"
 723             "                    <dim>128</dim>"
 724             "                    <dim>28</dim>"
 725             "                    <dim>28</dim>"
 726             "                </port>"
 727             "            </input>"
 728             "            <output>"
 729             "                <port id=\"1\">"
 730             "                    <dim>1</dim>"
 731             "                    <dim>128</dim>"
 732             "                    <dim>28</dim>"
 733             "                    <dim>28</dim>"
 734             "                </port>"
 735             "            </output>"
 736             "        </layer>"
 737             "        <layer id=\"25\" name=\"fire4/concat\" precision=\"FP32\" type=\"Concat\">"
 738             "            <data axis=\"1\"/>"
 739             "            <input>"
 740             "                <port id=\"0\">"
 741             "                    <dim>1</dim>"
 742             "                    <dim>128</dim>"
 743             "                    <dim>28</dim>"
 744             "                    <dim>28</dim>"
 745             "                </port>"
 746             "                <port id=\"1\">"
 747             "                    <dim>1</dim>"
 748             "                    <dim>128</dim>"
 749             "                    <dim>28</dim>"
 750             "                    <dim>28</dim>"
 751             "                </port>"
 752             "            </input>"
 753             "            <output>"
 754             "                <port id=\"2\">"
 755             "                    <dim>1</dim>"
 756             "                    <dim>256</dim>"
 757             "                    <dim>28</dim>"
 758             "                    <dim>28</dim>"
 759             "                </port>"
 760             "            </output>"
 761             "        </layer>"
 762             "        <layer id=\"26\" name=\"fire5/squeeze1x1\" precision=\"FP32\" type=\"Convolution\">"
 763             "            <data dilation-x=\"1\" dilation-y=\"1\" group=\"1\" kernel-x=\"1\" kernel-y=\"1\" output=\"32\" pad-x=\"0\" pad-y=\"0\" stride=\"1,1,1,1\" stride-x=\"1\" stride-y=\"1\"/>"
 764             "            <input>"
 765             "                <port id=\"0\">"
 766             "                    <dim>1</dim>"
 767             "                    <dim>256</dim>"
 768             "                    <dim>28</dim>"
 769             "                    <dim>28</dim>"
 770             "                </port>"
 771             "            </input>"
 772             "            <output>"
 773             "                <port id=\"3\">"
 774             "                    <dim>1</dim>"
 775             "                    <dim>32</dim>"
 776             "                    <dim>28</dim>"
 777             "                    <dim>28</dim>"
 778             "                </port>"
 779             "            </output>"
 780             "            <blobs>"
 781             "                <weights offset=\"283904\" size=\"32768\"/>"
 782             "                <biases offset=\"316672\" size=\"128\"/>"
 783             "            </blobs>"
 784             "        </layer>"
 785             "        <layer id=\"27\" name=\"fire5/relu_squeeze1x1\" precision=\"FP32\" type=\"ReLU\">"
 786             "            <data engine=\"caffe.ReLUParameter.DEFAULT\" negative_slope=\"0.0\"/>"
 787             "            <input>"
 788             "                <port id=\"0\">"
 789             "                    <dim>1</dim>"
 790             "                    <dim>32</dim>"
 791             "                    <dim>28</dim>"
 792             "                    <dim>28</dim>"
 793             "                </port>"
 794             "            </input>"
 795             "            <output>"
 796             "                <port id=\"1\">"
 797             "                    <dim>1</dim>"
 798             "                    <dim>32</dim>"
 799             "                    <dim>28</dim>"
 800             "                    <dim>28</dim>"
 801             "                </port>"
 802             "            </output>"
 803             "        </layer>"
 804             "        <layer id=\"28\" name=\"fire5/expand1x1\" precision=\"FP32\" type=\"Convolution\">"
 805             "            <data dilation-x=\"1\" dilation-y=\"1\" group=\"1\" kernel-x=\"1\" kernel-y=\"1\" output=\"128\" pad-x=\"0\" pad-y=\"0\" stride=\"1,1,1,1\" stride-x=\"1\" stride-y=\"1\"/>"
 806             "            <input>"
 807             "                <port id=\"0\">"
 808             "                    <dim>1</dim>"
 809             "                    <dim>32</dim>"
 810             "                    <dim>28</dim>"
 811             "                    <dim>28</dim>"
 812             "                </port>"
 813             "            </input>"
 814             "            <output>"
 815             "                <port id=\"3\">"
 816             "                    <dim>1</dim>"
 817             "                    <dim>128</dim>"
 818             "                    <dim>28</dim>"
 819             "                    <dim>28</dim>"
 820             "                </port>"
 821             "            </output>"
 822             "            <blobs>"
 823             "                <weights offset=\"316800\" size=\"16384\"/>"
 824             "                <biases offset=\"333184\" size=\"512\"/>"
 825             "            </blobs>"
 826             "        </layer>"
 827             "        <layer id=\"29\" name=\"fire5/relu_expand1x1\" precision=\"FP32\" type=\"ReLU\">"
 828             "            <data engine=\"caffe.ReLUParameter.DEFAULT\" negative_slope=\"0.0\"/>"
 829             "            <input>"
 830             "                <port id=\"0\">"
 831             "                    <dim>1</dim>"
 832             "                    <dim>128</dim>"
 833             "                    <dim>28</dim>"
 834             "                    <dim>28</dim>"
 835             "                </port>"
 836             "            </input>"
 837             "            <output>"
 838             "                <port id=\"1\">"
 839             "                    <dim>1</dim>"
 840             "                    <dim>128</dim>"
 841             "                    <dim>28</dim>"
 842             "                    <dim>28</dim>"
 843             "                </port>"
 844             "            </output>"
 845             "        </layer>"
 846             "        <layer id=\"30\" name=\"fire5/expand3x3\" precision=\"FP32\" type=\"Convolution\">"
 847             "            <data dilation-x=\"1\" dilation-y=\"1\" group=\"1\" kernel-x=\"3\" kernel-y=\"3\" output=\"128\" pad-x=\"1\" pad-y=\"1\" stride=\"1,1,1,1\" stride-x=\"1\" stride-y=\"1\"/>"
 848             "            <input>"
 849             "                <port id=\"0\">"
 850             "                    <dim>1</dim>"
 851             "                    <dim>32</dim>"
 852             "                    <dim>28</dim>"
 853             "                    <dim>28</dim>"
 854             "                </port>"
 855             "            </input>"
 856             "            <output>"
 857             "                <port id=\"3\">"
 858             "                    <dim>1</dim>"
 859             "                    <dim>128</dim>"
 860             "                    <dim>28</dim>"
 861             "                    <dim>28</dim>"
 862             "                </port>"
 863             "            </output>"
 864             "            <blobs>"
 865             "                <weights offset=\"333696\" size=\"147456\"/>"
 866             "                <biases offset=\"481152\" size=\"512\"/>"
 867             "            </blobs>"
 868             "        </layer>"
 869             "        <layer id=\"31\" name=\"fire5/relu_expand3x3\" precision=\"FP32\" type=\"ReLU\">"
 870             "            <data engine=\"caffe.ReLUParameter.DEFAULT\" negative_slope=\"0.0\"/>"
 871             "            <input>"
 872             "                <port id=\"0\">"
 873             "                    <dim>1</dim>"
 874             "                    <dim>128</dim>"
 875             "                    <dim>28</dim>"
 876             "                    <dim>28</dim>"
 877             "                </port>"
 878             "            </input>"
 879             "            <output>"
 880             "                <port id=\"1\">"
 881             "                    <dim>1</dim>"
 882             "                    <dim>128</dim>"
 883             "                    <dim>28</dim>"
 884             "                    <dim>28</dim>"
 885             "                </port>"
 886             "            </output>"
 887             "        </layer>"
 888             "        <layer id=\"32\" name=\"fire5/concat\" precision=\"FP32\" type=\"Concat\">"
 889             "            <data axis=\"1\"/>"
 890             "            <input>"
 891             "                <port id=\"0\">"
 892             "                    <dim>1</dim>"
 893             "                    <dim>128</dim>"
 894             "                    <dim>28</dim>"
 895             "                    <dim>28</dim>"
 896             "                </port>"
 897             "                <port id=\"1\">"
 898             "                    <dim>1</dim>"
 899             "                    <dim>128</dim>"
 900             "                    <dim>28</dim>"
 901             "                    <dim>28</dim>"
 902             "                </port>"
 903             "            </input>"
 904             "            <output>"
 905             "                <port id=\"2\">"
 906             "                    <dim>1</dim>"
 907             "                    <dim>256</dim>"
 908             "                    <dim>28</dim>"
 909             "                    <dim>28</dim>"
 910             "                </port>"
 911             "            </output>"
 912             "        </layer>"
 913             "        <layer id=\"33\" name=\"pool5\" precision=\"FP32\" type=\"Pooling\">"
 914             "            <data exclude-pad=\"false\" kernel-x=\"3\" kernel-y=\"3\" pad-x=\"0\" pad-y=\"0\" pool-method=\"max\" rounding_type=\"ceil\" stride=\"1,1,2,2\" stride-x=\"2\" stride-y=\"2\"/>"
 915             "            <input>"
 916             "                <port id=\"0\">"
 917             "                    <dim>1</dim>"
 918             "                    <dim>256</dim>"
 919             "                    <dim>28</dim>"
 920             "                    <dim>28</dim>"
 921             "                </port>"
 922             "            </input>"
 923             "            <output>"
 924             "                <port id=\"1\">"
 925             "                    <dim>1</dim>"
 926             "                    <dim>256</dim>"
 927             "                    <dim>14</dim>"
 928             "                    <dim>14</dim>"
 929             "                </port>"
 930             "            </output>"
 931             "        </layer>"
 932             "        <layer id=\"34\" name=\"fire6/squeeze1x1\" precision=\"FP32\" type=\"Convolution\">"
 933             "            <data dilation-x=\"1\" dilation-y=\"1\" group=\"1\" kernel-x=\"1\" kernel-y=\"1\" output=\"48\" pad-x=\"0\" pad-y=\"0\" stride=\"1,1,1,1\" stride-x=\"1\" stride-y=\"1\"/>"
 934             "            <input>"
 935             "                <port id=\"0\">"
 936             "                    <dim>1</dim>"
 937             "                    <dim>256</dim>"
 938             "                    <dim>14</dim>"
 939             "                    <dim>14</dim>"
 940             "                </port>"
 941             "            </input>"
 942             "            <output>"
 943             "                <port id=\"3\">"
 944             "                    <dim>1</dim>"
 945             "                    <dim>48</dim>"
 946             "                    <dim>14</dim>"
 947             "                    <dim>14</dim>"
 948             "                </port>"
 949             "            </output>"
 950             "            <blobs>"
 951             "                <weights offset=\"481664\" size=\"49152\"/>"
 952             "                <biases offset=\"530816\" size=\"192\"/>"
 953             "            </blobs>"
 954             "        </layer>"
 955             "        <layer id=\"35\" name=\"fire6/relu_squeeze1x1\" precision=\"FP32\" type=\"ReLU\">"
 956             "            <data engine=\"caffe.ReLUParameter.DEFAULT\" negative_slope=\"0.0\"/>"
 957             "            <input>"
 958             "                <port id=\"0\">"
 959             "                    <dim>1</dim>"
 960             "                    <dim>48</dim>"
 961             "                    <dim>14</dim>"
 962             "                    <dim>14</dim>"
 963             "                </port>"
 964             "            </input>"
 965             "            <output>"
 966             "                <port id=\"1\">"
 967             "                    <dim>1</dim>"
 968             "                    <dim>48</dim>"
 969             "                    <dim>14</dim>"
 970             "                    <dim>14</dim>"
 971             "                </port>"
 972             "            </output>"
 973             "        </layer>"
 974             "        <layer id=\"36\" name=\"fire6/expand1x1\" precision=\"FP32\" type=\"Convolution\">"
 975             "            <data dilation-x=\"1\" dilation-y=\"1\" group=\"1\" kernel-x=\"1\" kernel-y=\"1\" output=\"192\" pad-x=\"0\" pad-y=\"0\" stride=\"1,1,1,1\" stride-x=\"1\" stride-y=\"1\"/>"
 976             "            <input>"
 977             "                <port id=\"0\">"
 978             "                    <dim>1</dim>"
 979             "                    <dim>48</dim>"
 980             "                    <dim>14</dim>"
 981             "                    <dim>14</dim>"
 982             "                </port>"
 983             "            </input>"
 984             "            <output>"
 985             "                <port id=\"3\">"
 986             "                    <dim>1</dim>"
 987             "                    <dim>192</dim>"
 988             "                    <dim>14</dim>"
 989             "                    <dim>14</dim>"
 990             "                </port>"
 991             "            </output>"
 992             "            <blobs>"
 993             "                <weights offset=\"531008\" size=\"36864\"/>"
 994             "                <biases offset=\"567872\" size=\"768\"/>"
 995             "            </blobs>"
 996             "        </layer>"
 997             "        <layer id=\"37\" name=\"fire6/relu_expand1x1\" precision=\"FP32\" type=\"ReLU\">"
 998             "            <data engine=\"caffe.ReLUParameter.DEFAULT\" negative_slope=\"0.0\"/>"
 999             "            <input>"
1000             "                <port id=\"0\">"
1001             "                    <dim>1</dim>"
1002             "                    <dim>192</dim>"
1003             "                    <dim>14</dim>"
1004             "                    <dim>14</dim>"
1005             "                </port>"
1006             "            </input>"
1007             "            <output>"
1008             "                <port id=\"1\">"
1009             "                    <dim>1</dim>"
1010             "                    <dim>192</dim>"
1011             "                    <dim>14</dim>"
1012             "                    <dim>14</dim>"
1013             "                </port>"
1014             "            </output>"
1015             "        </layer>"
1016             "        <layer id=\"38\" name=\"fire6/expand3x3\" precision=\"FP32\" type=\"Convolution\">"
1017             "            <data dilation-x=\"1\" dilation-y=\"1\" group=\"1\" kernel-x=\"3\" kernel-y=\"3\" output=\"192\" pad-x=\"1\" pad-y=\"1\" stride=\"1,1,1,1\" stride-x=\"1\" stride-y=\"1\"/>"
1018             "            <input>"
1019             "                <port id=\"0\">"
1020             "                    <dim>1</dim>"
1021             "                    <dim>48</dim>"
1022             "                    <dim>14</dim>"
1023             "                    <dim>14</dim>"
1024             "                </port>"
1025             "            </input>"
1026             "            <output>"
1027             "                <port id=\"3\">"
1028             "                    <dim>1</dim>"
1029             "                    <dim>192</dim>"
1030             "                    <dim>14</dim>"
1031             "                    <dim>14</dim>"
1032             "                </port>"
1033             "            </output>"
1034             "            <blobs>"
1035             "                <weights offset=\"568640\" size=\"331776\"/>"
1036             "                <biases offset=\"900416\" size=\"768\"/>"
1037             "            </blobs>"
1038             "        </layer>"
1039             "        <layer id=\"39\" name=\"fire6/relu_expand3x3\" precision=\"FP32\" type=\"ReLU\">"
1040             "            <data engine=\"caffe.ReLUParameter.DEFAULT\" negative_slope=\"0.0\"/>"
1041             "            <input>"
1042             "                <port id=\"0\">"
1043             "                    <dim>1</dim>"
1044             "                    <dim>192</dim>"
1045             "                    <dim>14</dim>"
1046             "                    <dim>14</dim>"
1047             "                </port>"
1048             "            </input>"
1049             "            <output>"
1050             "                <port id=\"1\">"
1051             "                    <dim>1</dim>"
1052             "                    <dim>192</dim>"
1053             "                    <dim>14</dim>"
1054             "                    <dim>14</dim>"
1055             "                </port>"
1056             "            </output>"
1057             "        </layer>"
1058             "        <layer id=\"40\" name=\"fire6/concat\" precision=\"FP32\" type=\"Concat\">"
1059             "            <data axis=\"1\"/>"
1060             "            <input>"
1061             "                <port id=\"0\">"
1062             "                    <dim>1</dim>"
1063             "                    <dim>192</dim>"
1064             "                    <dim>14</dim>"
1065             "                    <dim>14</dim>"
1066             "                </port>"
1067             "                <port id=\"1\">"
1068             "                    <dim>1</dim>"
1069             "                    <dim>192</dim>"
1070             "                    <dim>14</dim>"
1071             "                    <dim>14</dim>"
1072             "                </port>"
1073             "            </input>"
1074             "            <output>"
1075             "                <port id=\"2\">"
1076             "                    <dim>1</dim>"
1077             "                    <dim>384</dim>"
1078             "                    <dim>14</dim>"
1079             "                    <dim>14</dim>"
1080             "                </port>"
1081             "            </output>"
1082             "        </layer>"
1083             "        <layer id=\"41\" name=\"fire7/squeeze1x1\" precision=\"FP32\" type=\"Convolution\">"
1084             "            <data dilation-x=\"1\" dilation-y=\"1\" group=\"1\" kernel-x=\"1\" kernel-y=\"1\" output=\"48\" pad-x=\"0\" pad-y=\"0\" stride=\"1,1,1,1\" stride-x=\"1\" stride-y=\"1\"/>"
1085             "            <input>"
1086             "                <port id=\"0\">"
1087             "                    <dim>1</dim>"
1088             "                    <dim>384</dim>"
1089             "                    <dim>14</dim>"
1090             "                    <dim>14</dim>"
1091             "                </port>"
1092             "            </input>"
1093             "            <output>"
1094             "                <port id=\"3\">"
1095             "                    <dim>1</dim>"
1096             "                    <dim>48</dim>"
1097             "                    <dim>14</dim>"
1098             "                    <dim>14</dim>"
1099             "                </port>"
1100             "            </output>"
1101             "            <blobs>"
1102             "                <weights offset=\"901184\" size=\"73728\"/>"
1103             "                <biases offset=\"974912\" size=\"192\"/>"
1104             "            </blobs>"
1105             "        </layer>"
1106             "        <layer id=\"42\" name=\"fire7/relu_squeeze1x1\" precision=\"FP32\" type=\"ReLU\">"
1107             "            <data engine=\"caffe.ReLUParameter.DEFAULT\" negative_slope=\"0.0\"/>"
1108             "            <input>"
1109             "                <port id=\"0\">"
1110             "                    <dim>1</dim>"
1111             "                    <dim>48</dim>"
1112             "                    <dim>14</dim>"
1113             "                    <dim>14</dim>"
1114             "                </port>"
1115             "            </input>"
1116             "            <output>"
1117             "                <port id=\"1\">"
1118             "                    <dim>1</dim>"
1119             "                    <dim>48</dim>"
1120             "                    <dim>14</dim>"
1121             "                    <dim>14</dim>"
1122             "                </port>"
1123             "            </output>"
1124             "        </layer>"
1125             "        <layer id=\"43\" name=\"fire7/expand1x1\" precision=\"FP32\" type=\"Convolution\">"
1126             "            <data dilation-x=\"1\" dilation-y=\"1\" group=\"1\" kernel-x=\"1\" kernel-y=\"1\" output=\"192\" pad-x=\"0\" pad-y=\"0\" stride=\"1,1,1,1\" stride-x=\"1\" stride-y=\"1\"/>"
1127             "            <input>"
1128             "                <port id=\"0\">"
1129             "                    <dim>1</dim>"
1130             "                    <dim>48</dim>"
1131             "                    <dim>14</dim>"
1132             "                    <dim>14</dim>"
1133             "                </port>"
1134             "            </input>"
1135             "            <output>"
1136             "                <port id=\"3\">"
1137             "                    <dim>1</dim>"
1138             "                    <dim>192</dim>"
1139             "                    <dim>14</dim>"
1140             "                    <dim>14</dim>"
1141             "                </port>"
1142             "            </output>"
1143             "            <blobs>"
1144             "                <weights offset=\"975104\" size=\"36864\"/>"
1145             "                <biases offset=\"1011968\" size=\"768\"/>"
1146             "            </blobs>"
1147             "        </layer>"
1148             "        <layer id=\"44\" name=\"fire7/relu_expand1x1\" precision=\"FP32\" type=\"ReLU\">"
1149             "            <data engine=\"caffe.ReLUParameter.DEFAULT\" negative_slope=\"0.0\"/>"
1150             "            <input>"
1151             "                <port id=\"0\">"
1152             "                    <dim>1</dim>"
1153             "                    <dim>192</dim>"
1154             "                    <dim>14</dim>"
1155             "                    <dim>14</dim>"
1156             "                </port>"
1157             "            </input>"
1158             "            <output>"
1159             "                <port id=\"1\">"
1160             "                    <dim>1</dim>"
1161             "                    <dim>192</dim>"
1162             "                    <dim>14</dim>"
1163             "                    <dim>14</dim>"
1164             "                </port>"
1165             "            </output>"
1166             "        </layer>"
1167             "        <layer id=\"45\" name=\"fire7/expand3x3\" precision=\"FP32\" type=\"Convolution\">"
1168             "            <data dilation-x=\"1\" dilation-y=\"1\" group=\"1\" kernel-x=\"3\" kernel-y=\"3\" output=\"192\" pad-x=\"1\" pad-y=\"1\" stride=\"1,1,1,1\" stride-x=\"1\" stride-y=\"1\"/>"
1169             "            <input>"
1170             "                <port id=\"0\">"
1171             "                    <dim>1</dim>"
1172             "                    <dim>48</dim>"
1173             "                    <dim>14</dim>"
1174             "                    <dim>14</dim>"
1175             "                </port>"
1176             "            </input>"
1177             "            <output>"
1178             "                <port id=\"3\">"
1179             "                    <dim>1</dim>"
1180             "                    <dim>192</dim>"
1181             "                    <dim>14</dim>"
1182             "                    <dim>14</dim>"
1183             "                </port>"
1184             "            </output>"
1185             "            <blobs>"
1186             "                <weights offset=\"1012736\" size=\"331776\"/>"
1187             "                <biases offset=\"1344512\" size=\"768\"/>"
1188             "            </blobs>"
1189             "        </layer>"
1190             "        <layer id=\"46\" name=\"fire7/relu_expand3x3\" precision=\"FP32\" type=\"ReLU\">"
1191             "            <data engine=\"caffe.ReLUParameter.DEFAULT\" negative_slope=\"0.0\"/>"
1192             "            <input>"
1193             "                <port id=\"0\">"
1194             "                    <dim>1</dim>"
1195             "                    <dim>192</dim>"
1196             "                    <dim>14</dim>"
1197             "                    <dim>14</dim>"
1198             "                </port>"
1199             "            </input>"
1200             "            <output>"
1201             "                <port id=\"1\">"
1202             "                    <dim>1</dim>"
1203             "                    <dim>192</dim>"
1204             "                    <dim>14</dim>"
1205             "                    <dim>14</dim>"
1206             "                </port>"
1207             "            </output>"
1208             "        </layer>"
1209             "        <layer id=\"47\" name=\"fire7/concat\" precision=\"FP32\" type=\"Concat\">"
1210             "            <data axis=\"1\"/>"
1211             "            <input>"
1212             "                <port id=\"0\">"
1213             "                    <dim>1</dim>"
1214             "                    <dim>192</dim>"
1215             "                    <dim>14</dim>"
1216             "                    <dim>14</dim>"
1217             "                </port>"
1218             "                <port id=\"1\">"
1219             "                    <dim>1</dim>"
1220             "                    <dim>192</dim>"
1221             "                    <dim>14</dim>"
1222             "                    <dim>14</dim>"
1223             "                </port>"
1224             "            </input>"
1225             "            <output>"
1226             "                <port id=\"2\">"
1227             "                    <dim>1</dim>"
1228             "                    <dim>384</dim>"
1229             "                    <dim>14</dim>"
1230             "                    <dim>14</dim>"
1231             "                </port>"
1232             "            </output>"
1233             "        </layer>"
1234             "        <layer id=\"48\" name=\"fire8/squeeze1x1\" precision=\"FP32\" type=\"Convolution\">"
1235             "            <data dilation-x=\"1\" dilation-y=\"1\" group=\"1\" kernel-x=\"1\" kernel-y=\"1\" output=\"64\" pad-x=\"0\" pad-y=\"0\" stride=\"1,1,1,1\" stride-x=\"1\" stride-y=\"1\"/>"
1236             "            <input>"
1237             "                <port id=\"0\">"
1238             "                    <dim>1</dim>"
1239             "                    <dim>384</dim>"
1240             "                    <dim>14</dim>"
1241             "                    <dim>14</dim>"
1242             "                </port>"
1243             "            </input>"
1244             "            <output>"
1245             "                <port id=\"3\">"
1246             "                    <dim>1</dim>"
1247             "                    <dim>64</dim>"
1248             "                    <dim>14</dim>"
1249             "                    <dim>14</dim>"
1250             "                </port>"
1251             "            </output>"
1252             "            <blobs>"
1253             "                <weights offset=\"1345280\" size=\"98304\"/>"
1254             "                <biases offset=\"1443584\" size=\"256\"/>"
1255             "            </blobs>"
1256             "        </layer>"
1257             "        <layer id=\"49\" name=\"fire8/relu_squeeze1x1\" precision=\"FP32\" type=\"ReLU\">"
1258             "            <data engine=\"caffe.ReLUParameter.DEFAULT\" negative_slope=\"0.0\"/>"
1259             "            <input>"
1260             "                <port id=\"0\">"
1261             "                    <dim>1</dim>"
1262             "                    <dim>64</dim>"
1263             "                    <dim>14</dim>"
1264             "                    <dim>14</dim>"
1265             "                </port>"
1266             "            </input>"
1267             "            <output>"
1268             "                <port id=\"1\">"
1269             "                    <dim>1</dim>"
1270             "                    <dim>64</dim>"
1271             "                    <dim>14</dim>"
1272             "                    <dim>14</dim>"
1273             "                </port>"
1274             "            </output>"
1275             "        </layer>"
1276             "        <layer id=\"50\" name=\"fire8/expand1x1\" precision=\"FP32\" type=\"Convolution\">"
1277             "            <data dilation-x=\"1\" dilation-y=\"1\" group=\"1\" kernel-x=\"1\" kernel-y=\"1\" output=\"256\" pad-x=\"0\" pad-y=\"0\" stride=\"1,1,1,1\" stride-x=\"1\" stride-y=\"1\"/>"
1278             "            <input>"
1279             "                <port id=\"0\">"
1280             "                    <dim>1</dim>"
1281             "                    <dim>64</dim>"
1282             "                    <dim>14</dim>"
1283             "                    <dim>14</dim>"
1284             "                </port>"
1285             "            </input>"
1286             "            <output>"
1287             "                <port id=\"3\">"
1288             "                    <dim>1</dim>"
1289             "                    <dim>256</dim>"
1290             "                    <dim>14</dim>"
1291             "                    <dim>14</dim>"
1292             "                </port>"
1293             "            </output>"
1294             "            <blobs>"
1295             "                <weights offset=\"1443840\" size=\"65536\"/>"
1296             "                <biases offset=\"1509376\" size=\"1024\"/>"
1297             "            </blobs>"
1298             "        </layer>"
1299             "        <layer id=\"51\" name=\"fire8/relu_expand1x1\" precision=\"FP32\" type=\"ReLU\">"
1300             "            <data engine=\"caffe.ReLUParameter.DEFAULT\" negative_slope=\"0.0\"/>"
1301             "            <input>"
1302             "                <port id=\"0\">"
1303             "                    <dim>1</dim>"
1304             "                    <dim>256</dim>"
1305             "                    <dim>14</dim>"
1306             "                    <dim>14</dim>"
1307             "                </port>"
1308             "            </input>"
1309             "            <output>"
1310             "                <port id=\"1\">"
1311             "                    <dim>1</dim>"
1312             "                    <dim>256</dim>"
1313             "                    <dim>14</dim>"
1314             "                    <dim>14</dim>"
1315             "                </port>"
1316             "            </output>"
1317             "        </layer>"
1318             "        <layer id=\"52\" name=\"fire8/expand3x3\" precision=\"FP32\" type=\"Convolution\">"
1319             "            <data dilation-x=\"1\" dilation-y=\"1\" group=\"1\" kernel-x=\"3\" kernel-y=\"3\" output=\"256\" pad-x=\"1\" pad-y=\"1\" stride=\"1,1,1,1\" stride-x=\"1\" stride-y=\"1\"/>"
1320             "            <input>"
1321             "                <port id=\"0\">"
1322             "                    <dim>1</dim>"
1323             "                    <dim>64</dim>"
1324             "                    <dim>14</dim>"
1325             "                    <dim>14</dim>"
1326             "                </port>"
1327             "            </input>"
1328             "            <output>"
1329             "                <port id=\"3\">"
1330             "                    <dim>1</dim>"
1331             "                    <dim>256</dim>"
1332             "                    <dim>14</dim>"
1333             "                    <dim>14</dim>"
1334             "                </port>"
1335             "            </output>"
1336             "            <blobs>"
1337             "                <weights offset=\"1510400\" size=\"589824\"/>"
1338             "                <biases offset=\"2100224\" size=\"1024\"/>"
1339             "            </blobs>"
1340             "        </layer>"
1341             "        <layer id=\"53\" name=\"fire8/relu_expand3x3\" precision=\"FP32\" type=\"ReLU\">"
1342             "            <data engine=\"caffe.ReLUParameter.DEFAULT\" negative_slope=\"0.0\"/>"
1343             "            <input>"
1344             "                <port id=\"0\">"
1345             "                    <dim>1</dim>"
1346             "                    <dim>256</dim>"
1347             "                    <dim>14</dim>"
1348             "                    <dim>14</dim>"
1349             "                </port>"
1350             "            </input>"
1351             "            <output>"
1352             "                <port id=\"1\">"
1353             "                    <dim>1</dim>"
1354             "                    <dim>256</dim>"
1355             "                    <dim>14</dim>"
1356             "                    <dim>14</dim>"
1357             "                </port>"
1358             "            </output>"
1359             "        </layer>"
1360             "        <layer id=\"54\" name=\"fire8/concat\" precision=\"FP32\" type=\"Concat\">"
1361             "            <data axis=\"1\"/>"
1362             "            <input>"
1363             "                <port id=\"0\">"
1364             "                    <dim>1</dim>"
1365             "                    <dim>256</dim>"
1366             "                    <dim>14</dim>"
1367             "                    <dim>14</dim>"
1368             "                </port>"
1369             "                <port id=\"1\">"
1370             "                    <dim>1</dim>"
1371             "                    <dim>256</dim>"
1372             "                    <dim>14</dim>"
1373             "                    <dim>14</dim>"
1374             "                </port>"
1375             "            </input>"
1376             "            <output>"
1377             "                <port id=\"2\">"
1378             "                    <dim>1</dim>"
1379             "                    <dim>512</dim>"
1380             "                    <dim>14</dim>"
1381             "                    <dim>14</dim>"
1382             "                </port>"
1383             "            </output>"
1384             "        </layer>"
1385             "        <layer id=\"55\" name=\"fire9/squeeze1x1\" precision=\"FP32\" type=\"Convolution\">"
1386             "            <data dilation-x=\"1\" dilation-y=\"1\" group=\"1\" kernel-x=\"1\" kernel-y=\"1\" output=\"64\" pad-x=\"0\" pad-y=\"0\" stride=\"1,1,1,1\" stride-x=\"1\" stride-y=\"1\"/>"
1387             "            <input>"
1388             "                <port id=\"0\">"
1389             "                    <dim>1</dim>"
1390             "                    <dim>512</dim>"
1391             "                    <dim>14</dim>"
1392             "                    <dim>14</dim>"
1393             "                </port>"
1394             "            </input>"
1395             "            <output>"
1396             "                <port id=\"3\">"
1397             "                    <dim>1</dim>"
1398             "                    <dim>64</dim>"
1399             "                    <dim>14</dim>"
1400             "                    <dim>14</dim>"
1401             "                </port>"
1402             "            </output>"
1403             "            <blobs>"
1404             "                <weights offset=\"2101248\" size=\"131072\"/>"
1405             "                <biases offset=\"2232320\" size=\"256\"/>"
1406             "            </blobs>"
1407             "        </layer>"
1408             "        <layer id=\"56\" name=\"fire9/relu_squeeze1x1\" precision=\"FP32\" type=\"ReLU\">"
1409             "            <data engine=\"caffe.ReLUParameter.DEFAULT\" negative_slope=\"0.0\"/>"
1410             "            <input>"
1411             "                <port id=\"0\">"
1412             "                    <dim>1</dim>"
1413             "                    <dim>64</dim>"
1414             "                    <dim>14</dim>"
1415             "                    <dim>14</dim>"
1416             "                </port>"
1417             "            </input>"
1418             "            <output>"
1419             "                <port id=\"1\">"
1420             "                    <dim>1</dim>"
1421             "                    <dim>64</dim>"
1422             "                    <dim>14</dim>"
1423             "                    <dim>14</dim>"
1424             "                </port>"
1425             "            </output>"
1426             "        </layer>"
1427             "        <layer id=\"57\" name=\"fire9/expand1x1\" precision=\"FP32\" type=\"Convolution\">"
1428             "            <data dilation-x=\"1\" dilation-y=\"1\" group=\"1\" kernel-x=\"1\" kernel-y=\"1\" output=\"256\" pad-x=\"0\" pad-y=\"0\" stride=\"1,1,1,1\" stride-x=\"1\" stride-y=\"1\"/>"
1429             "            <input>"
1430             "                <port id=\"0\">"
1431             "                    <dim>1</dim>"
1432             "                    <dim>64</dim>"
1433             "                    <dim>14</dim>"
1434             "                    <dim>14</dim>"
1435             "                </port>"
1436             "            </input>"
1437             "            <output>"
1438             "                <port id=\"3\">"
1439             "                    <dim>1</dim>"
1440             "                    <dim>256</dim>"
1441             "                    <dim>14</dim>"
1442             "                    <dim>14</dim>"
1443             "                </port>"
1444             "            </output>"
1445             "            <blobs>"
1446             "                <weights offset=\"2232576\" size=\"65536\"/>"
1447             "                <biases offset=\"2298112\" size=\"1024\"/>"
1448             "            </blobs>"
1449             "        </layer>"
1450             "        <layer id=\"58\" name=\"fire9/relu_expand1x1\" precision=\"FP32\" type=\"ReLU\">"
1451             "            <data engine=\"caffe.ReLUParameter.DEFAULT\" negative_slope=\"0.0\"/>"
1452             "            <input>"
1453             "                <port id=\"0\">"
1454             "                    <dim>1</dim>"
1455             "                    <dim>256</dim>"
1456             "                    <dim>14</dim>"
1457             "                    <dim>14</dim>"
1458             "                </port>"
1459             "            </input>"
1460             "            <output>"
1461             "                <port id=\"1\">"
1462             "                    <dim>1</dim>"
1463             "                    <dim>256</dim>"
1464             "                    <dim>14</dim>"
1465             "                    <dim>14</dim>"
1466             "                </port>"
1467             "            </output>"
1468             "        </layer>"
1469             "        <layer id=\"59\" name=\"fire9/expand3x3\" precision=\"FP32\" type=\"Convolution\">"
1470             "            <data dilation-x=\"1\" dilation-y=\"1\" group=\"1\" kernel-x=\"3\" kernel-y=\"3\" output=\"256\" pad-x=\"1\" pad-y=\"1\" stride=\"1,1,1,1\" stride-x=\"1\" stride-y=\"1\"/>"
1471             "            <input>"
1472             "                <port id=\"0\">"
1473             "                    <dim>1</dim>"
1474             "                    <dim>64</dim>"
1475             "                    <dim>14</dim>"
1476             "                    <dim>14</dim>"
1477             "                </port>"
1478             "            </input>"
1479             "            <output>"
1480             "                <port id=\"3\">"
1481             "                    <dim>1</dim>"
1482             "                    <dim>256</dim>"
1483             "                    <dim>14</dim>"
1484             "                    <dim>14</dim>"
1485             "                </port>"
1486             "            </output>"
1487             "            <blobs>"
1488             "                <weights offset=\"2299136\" size=\"589824\"/>"
1489             "                <biases offset=\"2888960\" size=\"1024\"/>"
1490             "            </blobs>"
1491             "        </layer>"
1492             "        <layer id=\"60\" name=\"fire9/relu_expand3x3\" precision=\"FP32\" type=\"ReLU\">"
1493             "            <data engine=\"caffe.ReLUParameter.DEFAULT\" negative_slope=\"0.0\"/>"
1494             "            <input>"
1495             "                <port id=\"0\">"
1496             "                    <dim>1</dim>"
1497             "                    <dim>256</dim>"
1498             "                    <dim>14</dim>"
1499             "                    <dim>14</dim>"
1500             "                </port>"
1501             "            </input>"
1502             "            <output>"
1503             "                <port id=\"1\">"
1504             "                    <dim>1</dim>"
1505             "                    <dim>256</dim>"
1506             "                    <dim>14</dim>"
1507             "                    <dim>14</dim>"
1508             "                </port>"
1509             "            </output>"
1510             "        </layer>"
1511             "        <layer id=\"61\" name=\"fire9/concat\" precision=\"FP32\" type=\"Concat\">"
1512             "            <data axis=\"1\"/>"
1513             "            <input>"
1514             "                <port id=\"0\">"
1515             "                    <dim>1</dim>"
1516             "                    <dim>256</dim>"
1517             "                    <dim>14</dim>"
1518             "                    <dim>14</dim>"
1519             "                </port>"
1520             "                <port id=\"1\">"
1521             "                    <dim>1</dim>"
1522             "                    <dim>256</dim>"
1523             "                    <dim>14</dim>"
1524             "                    <dim>14</dim>"
1525             "                </port>"
1526             "            </input>"
1527             "            <output>"
1528             "                <port id=\"2\">"
1529             "                    <dim>1</dim>"
1530             "                    <dim>512</dim>"
1531             "                    <dim>14</dim>"
1532             "                    <dim>14</dim>"
1533             "                </port>"
1534             "            </output>"
1535             "        </layer>"
1536             "        <layer id=\"62\" name=\"conv10\" precision=\"FP32\" type=\"Convolution\">"
1537             "            <data dilation-x=\"1\" dilation-y=\"1\" group=\"1\" kernel-x=\"1\" kernel-y=\"1\" output=\"1000\" pad-x=\"0\" pad-y=\"0\" stride=\"1,1,1,1\" stride-x=\"1\" stride-y=\"1\"/>"
1538             "            <input>"
1539             "                <port id=\"0\">"
1540             "                    <dim>1</dim>"
1541             "                    <dim>512</dim>"
1542             "                    <dim>14</dim>"
1543             "                    <dim>14</dim>"
1544             "                </port>"
1545             "            </input>"
1546             "            <output>"
1547             "                <port id=\"3\">"
1548             "                    <dim>1</dim>"
1549             "                    <dim>1000</dim>"
1550             "                    <dim>14</dim>"
1551             "                    <dim>14</dim>"
1552             "                </port>"
1553             "            </output>"
1554             "            <blobs>"
1555             "                <weights offset=\"2889984\" size=\"2048000\"/>"
1556             "                <biases offset=\"4937984\" size=\"4000\"/>"
1557             "            </blobs>"
1558             "        </layer>"
1559             "        <layer id=\"63\" name=\"relu_conv10\" precision=\"FP32\" type=\"ReLU\">"
1560             "            <data engine=\"caffe.ReLUParameter.DEFAULT\" negative_slope=\"0.0\"/>"
1561             "            <input>"
1562             "                <port id=\"0\">"
1563             "                    <dim>1</dim>"
1564             "                    <dim>1000</dim>"
1565             "                    <dim>14</dim>"
1566             "                    <dim>14</dim>"
1567             "                </port>"
1568             "            </input>"
1569             "            <output>"
1570             "                <port id=\"1\">"
1571             "                    <dim>1</dim>"
1572             "                    <dim>1000</dim>"
1573             "                    <dim>14</dim>"
1574             "                    <dim>14</dim>"
1575             "                </port>"
1576             "            </output>"
1577             "        </layer>"
1578             "        <layer id=\"64\" name=\"pool10\" precision=\"FP32\" type=\"Pooling\">"
1579             "            <data exclude-pad=\"false\" kernel-x=\"14\" kernel-y=\"14\" pad-x=\"0\" pad-y=\"0\" pool-method=\"avg\" rounding_type=\"ceil\" stride=\"1,1,1,1\" stride-x=\"1\" stride-y=\"1\"/>"
1580             "            <input>"
1581             "                <port id=\"0\">"
1582             "                    <dim>1</dim>"
1583             "                    <dim>1000</dim>"
1584             "                    <dim>14</dim>"
1585             "                    <dim>14</dim>"
1586             "                </port>"
1587             "            </input>"
1588             "            <output>"
1589             "                <port id=\"1\">"
1590             "                    <dim>1</dim>"
1591             "                    <dim>1000</dim>"
1592             "                    <dim>1</dim>"
1593             "                    <dim>1</dim>"
1594             "                </port>"
1595             "            </output>"
1596             "        </layer>"
1597             "        <layer id=\"65\" name=\"prob\" precision=\"FP32\" type=\"SoftMax\">"
1598             "            <data axis=\"1\"/>"
1599             "            <input>"
1600             "                <port id=\"0\">"
1601             "                    <dim>1</dim>"
1602             "                    <dim>1000</dim>"
1603             "                    <dim>1</dim>"
1604             "                    <dim>1</dim>"
1605             "                </port>"
1606             "            </input>"
1607             "            <output>"
1608             "                <port id=\"1\">"
1609             "                    <dim>1</dim>"
1610             "                    <dim>1000</dim>"
1611             "                    <dim>1</dim>"
1612             "                    <dim>1</dim>"
1613             "                </port>"
1614             "            </output>"
1615             "        </layer>"
1616             "    </layers>"
1617             "    <edges>"
1618             "        <edge from-layer=\"0\" from-port=\"0\" to-layer=\"1\" to-port=\"0\"/>"
1619             "        <edge from-layer=\"1\" from-port=\"3\" to-layer=\"2\" to-port=\"0\"/>"
1620             "        <edge from-layer=\"2\" from-port=\"1\" to-layer=\"3\" to-port=\"0\"/>"
1621             "        <edge from-layer=\"3\" from-port=\"1\" to-layer=\"4\" to-port=\"0\"/>"
1622             "        <edge from-layer=\"4\" from-port=\"3\" to-layer=\"5\" to-port=\"0\"/>"
1623             "        <edge from-layer=\"5\" from-port=\"1\" to-layer=\"6\" to-port=\"0\"/>"
1624             "        <edge from-layer=\"6\" from-port=\"3\" to-layer=\"7\" to-port=\"0\"/>"
1625             "        <edge from-layer=\"5\" from-port=\"1\" to-layer=\"8\" to-port=\"0\"/>"
1626             "        <edge from-layer=\"8\" from-port=\"3\" to-layer=\"9\" to-port=\"0\"/>"
1627             "        <edge from-layer=\"7\" from-port=\"1\" to-layer=\"10\" to-port=\"0\"/>"
1628             "        <edge from-layer=\"9\" from-port=\"1\" to-layer=\"10\" to-port=\"1\"/>"
1629             "        <edge from-layer=\"10\" from-port=\"2\" to-layer=\"11\" to-port=\"0\"/>"
1630             "        <edge from-layer=\"11\" from-port=\"3\" to-layer=\"12\" to-port=\"0\"/>"
1631             "        <edge from-layer=\"11\" from-port=\"4\" to-layer=\"8\" to-port=\"1\"/>"
1632             "        <edge from-layer=\"12\" from-port=\"1\" to-layer=\"13\" to-port=\"0\"/>"
1633             "        <edge from-layer=\"13\" from-port=\"3\" to-layer=\"14\" to-port=\"0\"/>"
1634             "        <edge from-layer=\"12\" from-port=\"1\" to-layer=\"15\" to-port=\"0\"/>"
1635             "        <edge from-layer=\"15\" from-port=\"3\" to-layer=\"16\" to-port=\"0\"/>"
1636             "        <edge from-layer=\"14\" from-port=\"1\" to-layer=\"17\" to-port=\"0\"/>"
1637             "        <edge from-layer=\"16\" from-port=\"1\" to-layer=\"17\" to-port=\"1\"/>"
1638             "        <edge from-layer=\"17\" from-port=\"2\" to-layer=\"18\" to-port=\"0\"/>"
1639             "        <edge from-layer=\"18\" from-port=\"1\" to-layer=\"19\" to-port=\"0\"/>"
1640             "        <edge from-layer=\"19\" from-port=\"3\" to-layer=\"20\" to-port=\"0\"/>"
1641             "        <edge from-layer=\"20\" from-port=\"1\" to-layer=\"21\" to-port=\"0\"/>"
1642             "        <edge from-layer=\"21\" from-port=\"3\" to-layer=\"22\" to-port=\"0\"/>"
1643             "        <edge from-layer=\"20\" from-port=\"1\" to-layer=\"23\" to-port=\"0\"/>"
1644             "        <edge from-layer=\"23\" from-port=\"3\" to-layer=\"24\" to-port=\"0\"/>"
1645             "        <edge from-layer=\"22\" from-port=\"1\" to-layer=\"25\" to-port=\"0\"/>"
1646             "        <edge from-layer=\"24\" from-port=\"1\" to-layer=\"25\" to-port=\"1\"/>"
1647             "        <edge from-layer=\"25\" from-port=\"2\" to-layer=\"26\" to-port=\"0\"/>"
1648             "        <edge from-layer=\"26\" from-port=\"3\" to-layer=\"27\" to-port=\"0\"/>"
1649             "        <edge from-layer=\"27\" from-port=\"1\" to-layer=\"28\" to-port=\"0\"/>"
1650             "        <edge from-layer=\"28\" from-port=\"3\" to-layer=\"29\" to-port=\"0\"/>"
1651             "        <edge from-layer=\"27\" from-port=\"1\" to-layer=\"30\" to-port=\"0\"/>"
1652             "        <edge from-layer=\"30\" from-port=\"3\" to-layer=\"31\" to-port=\"0\"/>"
1653             "        <edge from-layer=\"29\" from-port=\"1\" to-layer=\"32\" to-port=\"0\"/>"
1654             "        <edge from-layer=\"31\" from-port=\"1\" to-layer=\"32\" to-port=\"1\"/>"
1655             "        <edge from-layer=\"32\" from-port=\"2\" to-layer=\"33\" to-port=\"0\"/>"
1656             "        <edge from-layer=\"33\" from-port=\"1\" to-layer=\"34\" to-port=\"0\"/>"
1657             "        <edge from-layer=\"34\" from-port=\"3\" to-layer=\"35\" to-port=\"0\"/>"
1658             "        <edge from-layer=\"35\" from-port=\"1\" to-layer=\"36\" to-port=\"0\"/>"
1659             "        <edge from-layer=\"36\" from-port=\"3\" to-layer=\"37\" to-port=\"0\"/>"
1660             "        <edge from-layer=\"35\" from-port=\"1\" to-layer=\"38\" to-port=\"0\"/>"
1661             "        <edge from-layer=\"38\" from-port=\"3\" to-layer=\"39\" to-port=\"0\"/>"
1662             "        <edge from-layer=\"37\" from-port=\"1\" to-layer=\"40\" to-port=\"0\"/>"
1663             "        <edge from-layer=\"39\" from-port=\"1\" to-layer=\"40\" to-port=\"1\"/>"
1664             "        <edge from-layer=\"40\" from-port=\"2\" to-layer=\"41\" to-port=\"0\"/>"
1665             "        <edge from-layer=\"41\" from-port=\"3\" to-layer=\"42\" to-port=\"0\"/>"
1666             "        <edge from-layer=\"42\" from-port=\"1\" to-layer=\"43\" to-port=\"0\"/>"
1667             "        <edge from-layer=\"43\" from-port=\"3\" to-layer=\"44\" to-port=\"0\"/>"
1668             "        <edge from-layer=\"42\" from-port=\"1\" to-layer=\"45\" to-port=\"0\"/>"
1669             "        <edge from-layer=\"45\" from-port=\"3\" to-layer=\"46\" to-port=\"0\"/>"
1670             "        <edge from-layer=\"44\" from-port=\"1\" to-layer=\"47\" to-port=\"0\"/>"
1671             "        <edge from-layer=\"46\" from-port=\"1\" to-layer=\"47\" to-port=\"1\"/>"
1672             "        <edge from-layer=\"47\" from-port=\"2\" to-layer=\"48\" to-port=\"0\"/>"
1673             "        <edge from-layer=\"48\" from-port=\"3\" to-layer=\"49\" to-port=\"0\"/>"
1674             "        <edge from-layer=\"49\" from-port=\"1\" to-layer=\"50\" to-port=\"0\"/>"
1675             "        <edge from-layer=\"50\" from-port=\"3\" to-layer=\"51\" to-port=\"0\"/>"
1676             "        <edge from-layer=\"49\" from-port=\"1\" to-layer=\"52\" to-port=\"0\"/>"
1677             "        <edge from-layer=\"52\" from-port=\"3\" to-layer=\"53\" to-port=\"0\"/>"
1678             "        <edge from-layer=\"51\" from-port=\"1\" to-layer=\"54\" to-port=\"0\"/>"
1679             "        <edge from-layer=\"53\" from-port=\"1\" to-layer=\"54\" to-port=\"1\"/>"
1680             "        <edge from-layer=\"54\" from-port=\"2\" to-layer=\"55\" to-port=\"0\"/>"
1681             "        <edge from-layer=\"55\" from-port=\"3\" to-layer=\"56\" to-port=\"0\"/>"
1682             "        <edge from-layer=\"56\" from-port=\"1\" to-layer=\"57\" to-port=\"0\"/>"
1683             "        <edge from-layer=\"57\" from-port=\"3\" to-layer=\"58\" to-port=\"0\"/>"
1684             "        <edge from-layer=\"56\" from-port=\"1\" to-layer=\"59\" to-port=\"0\"/>"
1685             "        <edge from-layer=\"59\" from-port=\"3\" to-layer=\"60\" to-port=\"0\"/>"
1686             "        <edge from-layer=\"58\" from-port=\"1\" to-layer=\"61\" to-port=\"0\"/>"
1687             "        <edge from-layer=\"60\" from-port=\"1\" to-layer=\"61\" to-port=\"1\"/>"
1688             "        <edge from-layer=\"61\" from-port=\"2\" to-layer=\"62\" to-port=\"0\"/>"
1689             "        <edge from-layer=\"62\" from-port=\"3\" to-layer=\"63\" to-port=\"0\"/>"
1690             "        <edge from-layer=\"63\" from-port=\"1\" to-layer=\"64\" to-port=\"0\"/>"
1691             "        <edge from-layer=\"64\" from-port=\"1\" to-layer=\"65\" to-port=\"0\"/>"
1692             "    </edges>"
1693             "</net>";
1694     CNNNetReaderImpl reader(make_shared<V2FormatParserCreator>());
1695
1696     ASSERT_EQ(GENERAL_ERROR, reader.ReadNetwork(model.data(), model.length(), &resp));
1697 }