Difference between revisions of "NCS 1.12 Tensorflow Examples Make Log"
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(Created page with "<pre> inception_v3$ make all test -f output/inception-v3.meta || ((wget http://download.tensorflow.org/models/inception_v3_2016_08_28.tar.gz && tar zxf inception_v3_2016_08_28...") |
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Latest revision as of 12:28, 21 June 2018
inception_v3$ make all
test -f output/inception-v3.meta || ((wget http://download.tensorflow.org/models/inception_v3_2016_08_28.tar.gz && tar zxf inception_v3_2016_08_28.tar.gz && rm inception_v3_2016_08_28.tar.gz) && ./inception-v3.py)
mvNCProfile -s 12 output/inception-v3.meta -in=input -on=InceptionV3/Predictions/Reshape_1
mvNCProfile v02.00, Copyright @ Movidius Ltd 2016
/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/ops.py:766: DeprecationWarning: builtin type EagerTensor has no __module__ attribute
EagerTensor = c_api.TFE_Py_InitEagerTensor(_EagerTensorBase)
/usr/local/lib/python3.5/dist-packages/tensorflow/python/util/tf_inspect.py:45: DeprecationWarning: inspect.getargspec() is deprecated, use inspect.signature() instead
if d.decorator_argspec is not None), _inspect.getargspec(target))
Layer InceptionV3/InceptionV3/Mixed_5c/Branch_0/Conv2d_0a_1x1/Relu forced to im2col_v2, because its output is used in concat
Layer InceptionV3/InceptionV3/Mixed_5c/Branch_3/Conv2d_0b_1x1/Relu forced to im2col_v2, because its output is used in concat
Layer InceptionV3/InceptionV3/Mixed_5d/Branch_0/Conv2d_0a_1x1/Relu forced to im2col_v2, because its output is used in concat
Layer InceptionV3/InceptionV3/Mixed_5d/Branch_3/Conv2d_0b_1x1/Relu forced to im2col_v2, because its output is used in concat
Layer InceptionV3/InceptionV3/Mixed_6a/Branch_0/Conv2d_1a_1x1/Relu forced to im2col_v2, because its output is used in concat
Layer InceptionV3/InceptionV3/Mixed_6b/Branch_0/Conv2d_0a_1x1/Relu forced to im2col_v2, because its output is used in concat
Layer InceptionV3/InceptionV3/Mixed_6b/Branch_3/Conv2d_0b_1x1/Relu forced to im2col_v2, because its output is used in concat
Layer InceptionV3/InceptionV3/Mixed_6c/Branch_0/Conv2d_0a_1x1/Relu forced to im2col_v2, because its output is used in concat
Layer InceptionV3/InceptionV3/Mixed_6c/Branch_3/Conv2d_0b_1x1/Relu forced to im2col_v2, because its output is used in concat
Layer InceptionV3/InceptionV3/Mixed_6d/Branch_0/Conv2d_0a_1x1/Relu forced to im2col_v2, because its output is used in concat
Layer InceptionV3/InceptionV3/Mixed_6d/Branch_3/Conv2d_0b_1x1/Relu forced to im2col_v2, because its output is used in concat
Layer InceptionV3/InceptionV3/Mixed_6e/Branch_0/Conv2d_0a_1x1/Relu forced to im2col_v2, because its output is used in concat
Layer InceptionV3/InceptionV3/Mixed_6e/Branch_3/Conv2d_0b_1x1/Relu forced to im2col_v2, because its output is used in concat
Layer InceptionV3/InceptionV3/Mixed_7b/Branch_0/Conv2d_0a_1x1/Relu forced to im2col_v2, because its output is used in concat
Layer InceptionV3/InceptionV3/Mixed_7b/Branch_1/Conv2d_0b_1x3/Relu forced to im2col_v2, because its output is used in concat
Layer InceptionV3/InceptionV3/Mixed_7b/Branch_1/Conv2d_0b_3x1/Relu forced to im2col_v2, because its output is used in concat
Layer InceptionV3/InceptionV3/Mixed_7b/Branch_2/Conv2d_0c_1x3/Relu forced to im2col_v2, because its output is used in concat
Layer InceptionV3/InceptionV3/Mixed_7b/Branch_2/Conv2d_0d_3x1/Relu forced to im2col_v2, because its output is used in concat
Layer InceptionV3/InceptionV3/Mixed_7b/Branch_3/Conv2d_0b_1x1/Relu forced to im2col_v2, because its output is used in concat
Layer InceptionV3/InceptionV3/Mixed_7c/Branch_0/Conv2d_0a_1x1/Relu forced to im2col_v2, because its output is used in concat
Layer InceptionV3/InceptionV3/Mixed_7c/Branch_1/Conv2d_0b_1x3/Relu forced to im2col_v2, because its output is used in concat
Layer InceptionV3/InceptionV3/Mixed_7c/Branch_1/Conv2d_0c_3x1/Relu forced to im2col_v2, because its output is used in concat
Layer InceptionV3/InceptionV3/Mixed_7c/Branch_2/Conv2d_0c_1x3/Relu forced to im2col_v2, because its output is used in concat
Layer InceptionV3/InceptionV3/Mixed_7c/Branch_2/Conv2d_0d_3x1/Relu forced to im2col_v2, because its output is used in concat
Layer InceptionV3/InceptionV3/Mixed_7c/Branch_3/Conv2d_0b_1x1/Relu forced to im2col_v2, because its output is used in concat
/usr/local/bin/ncsdk/Controllers/FileIO.py:52: UserWarning: You are using a large type. Consider reducing your data sizes for best performance
"Consider reducing your data sizes for best performance\033[0m")
USB: Transferring Data...
Time to Execute : 380.9 ms
USB: Myriad Execution Finished
Time to Execute : 333.25 ms
USB: Myriad Execution Finished
USB: Myriad Connection Closing.
USB: Myriad Connection Closed.
Network Summary
Detailed Per Layer Profile
Bandwidth time
# Name MFLOPs (MB/s) (ms)
===============================================================================
0 InceptionV3/InceptionV3/Conv2d_1a_3x3/Relu 38.4 1089.9 4.226
1 InceptionV3/InceptionV3/Conv2d_2a_3x3/Relu 398.3 984.2 12.410
2 InceptionV3/InceptionV3/Conv2d_2b_3x3/Relu 796.6 665.2 17.899
3 InceptionV3/InceptionV3/MaxPool_3a_3x3/MaxPool 3.1 1431.6 1.843
4 InceptionV3/InceptionV3/Conv2d_3b_1x1/Relu 54.6 446.5 1.479
5 InceptionV3/InceptionV3/Conv2d_4a_3x3/Relu 1393.7 247.4 30.664
6 InceptionV3/InceptionV3/MaxPool_5a_3x3/MaxPool 2.1 1218.6 1.515
7 ...ceptionV3/Mixed_5b/Branch_0/Conv2d_0a_1x1/Relu 30.1 655.5 0.720
8 ...ceptionV3/Mixed_5b/Branch_1/Conv2d_0a_1x1/Relu 22.6 756.0 0.617
9 ...ceptionV3/Mixed_5b/Branch_1/Conv2d_0b_5x5/Relu 188.2 637.9 4.630
10 ...ceptionV3/Mixed_5b/Branch_2/Conv2d_0a_1x1/Relu 30.1 672.6 0.702
11 ...ceptionV3/Mixed_5b/Branch_2/Conv2d_0b_3x3/Relu 135.5 472.9 3.073
12 ...ceptionV3/Mixed_5b/Branch_2/Conv2d_0c_3x3/Relu 203.2 514.7 4.232
13 ...ionV3/Mixed_5b/Branch_3/AvgPool_0a_3x3/AvgPool 4.2 529.0 0.849
14 ...ceptionV3/Mixed_5b/Branch_3/Conv2d_0b_1x1/Relu 15.1 912.7 0.504
15 ...ceptionV3/Mixed_5c/Branch_0/Conv2d_0a_1x1/Relu 40.1 696.0 0.904
16 ...ceptionV3/Mixed_5c/Branch_1/Conv2d_0b_1x1/Relu 30.1 820.1 0.758
17 ...ceptionV3/Mixed_5c/Branch_1/Conv_1_0c_5x5/Relu 188.2 633.9 4.659
18 ...ceptionV3/Mixed_5c/Branch_2/Conv2d_0a_1x1/Relu 40.1 690.1 0.912
19 ...ceptionV3/Mixed_5c/Branch_2/Conv2d_0b_3x3/Relu 135.5 488.5 2.974
20 ...ceptionV3/Mixed_5c/Branch_2/Conv2d_0c_3x3/Relu 203.2 512.4 4.252
21 ...ionV3/Mixed_5c/Branch_3/AvgPool_0a_3x3/AvgPool 5.6 565.4 1.059
22 ...ceptionV3/Mixed_5c/Branch_3/Conv2d_0b_1x1/Relu 40.1 655.7 0.960
23 ...ceptionV3/Mixed_5d/Branch_0/Conv2d_0a_1x1/Relu 45.2 728.4 0.972
24 ...ceptionV3/Mixed_5d/Branch_1/Conv2d_0a_1x1/Relu 33.9 912.3 0.767
25 ...ceptionV3/Mixed_5d/Branch_1/Conv2d_0b_5x5/Relu 188.2 639.6 4.617
26 ...ceptionV3/Mixed_5d/Branch_2/Conv2d_0a_1x1/Relu 45.2 729.0 0.971
27 ...ceptionV3/Mixed_5d/Branch_2/Conv2d_0b_3x3/Relu 135.5 489.0 2.971
28 ...ceptionV3/Mixed_5d/Branch_2/Conv2d_0c_3x3/Relu 203.2 511.7 4.257
29 ...ionV3/Mixed_5d/Branch_3/AvgPool_0a_3x3/AvgPool 6.4 552.3 1.219
30 ...ceptionV3/Mixed_5d/Branch_3/Conv2d_0b_1x1/Relu 45.2 703.4 1.007
31 ...ceptionV3/Mixed_6a/Branch_0/Conv2d_1a_1x1/Relu 575.3 677.7 11.748
32 ...ceptionV3/Mixed_6a/Branch_1/Conv2d_0a_1x1/Relu 45.2 726.5 0.975
33 ...ceptionV3/Mixed_6a/Branch_1/Conv2d_0b_3x3/Relu 135.5 488.5 2.974
34 ...ceptionV3/Mixed_6a/Branch_1/Conv2d_1a_1x1/Relu 47.9 1448.2 1.504
35 ...ionV3/Mixed_6a/Branch_2/MaxPool_1a_3x3/MaxPool 0.7 1383.8 0.487
36 ...ceptionV3/Mixed_6b/Branch_0/Conv2d_0a_1x1/Relu 85.2 314.6 2.241
37 ...ceptionV3/Mixed_6b/Branch_1/Conv2d_0a_1x1/Relu 56.8 472.3 1.294
38 ...ceptionV3/Mixed_6b/Branch_1/Conv2d_0b_1x7/Relu 66.3 318.8 2.241
39 ...ceptionV3/Mixed_6b/Branch_1/Conv2d_0c_7x1/Relu 99.4 309.4 2.665
40 ...ceptionV3/Mixed_6b/Branch_2/Conv2d_0a_1x1/Relu 56.8 461.7 1.324
41 ...ceptionV3/Mixed_6b/Branch_2/Conv2d_0b_7x1/Relu 66.3 328.6 2.174
42 ...ceptionV3/Mixed_6b/Branch_2/Conv2d_0c_1x7/Relu 66.3 319.7 2.234
43 ...ceptionV3/Mixed_6b/Branch_2/Conv2d_0d_7x1/Relu 66.3 308.3 2.317
44 ...ceptionV3/Mixed_6b/Branch_2/Conv2d_0e_1x7/Relu 99.4 311.5 2.647
45 ...ionV3/Mixed_6b/Branch_3/AvgPool_0a_3x3/AvgPool 4.0 417.2 1.018
46 ...ceptionV3/Mixed_6b/Branch_3/Conv2d_0b_1x1/Relu 85.2 312.3 2.258
47 ...ceptionV3/Mixed_6c/Branch_0/Conv2d_0a_1x1/Relu 85.2 324.6 2.171
48 ...ceptionV3/Mixed_6c/Branch_1/Conv2d_0a_1x1/Relu 71.0 277.7 2.369
49 ...ceptionV3/Mixed_6c/Branch_1/Conv2d_0b_1x7/Relu 103.6 239.8 4.009
50 ...ceptionV3/Mixed_6c/Branch_1/Conv2d_0c_7x1/Relu 124.3 261.3 3.942
51 ...ceptionV3/Mixed_6c/Branch_2/Conv2d_0a_1x1/Relu 71.0 285.3 2.307
52 ...ceptionV3/Mixed_6c/Branch_2/Conv2d_0b_7x1/Relu 103.6 231.3 4.156
53 ...ceptionV3/Mixed_6c/Branch_2/Conv2d_0c_1x7/Relu 103.6 231.9 4.145
54 ...ceptionV3/Mixed_6c/Branch_2/Conv2d_0d_7x1/Relu 103.6 232.9 4.128
55 ...ceptionV3/Mixed_6c/Branch_2/Conv2d_0e_1x7/Relu 124.3 265.6 3.879
56 ...ionV3/Mixed_6c/Branch_3/AvgPool_0a_3x3/AvgPool 4.0 419.4 1.013
57 ...ceptionV3/Mixed_6c/Branch_3/Conv2d_0b_1x1/Relu 85.2 315.2 2.237
58 ...ceptionV3/Mixed_6d/Branch_0/Conv2d_0a_1x1/Relu 85.2 334.5 2.108
59 ...ceptionV3/Mixed_6d/Branch_1/Conv2d_0a_1x1/Relu 71.0 294.1 2.238
60 ...ceptionV3/Mixed_6d/Branch_1/Conv2d_0b_1x7/Relu 103.6 237.8 4.042
61 ...ceptionV3/Mixed_6d/Branch_1/Conv2d_0c_7x1/Relu 124.3 267.7 3.848
62 ...ceptionV3/Mixed_6d/Branch_2/Conv2d_0a_1x1/Relu 71.0 281.2 2.340
63 ...ceptionV3/Mixed_6d/Branch_2/Conv2d_0b_7x1/Relu 103.6 234.8 4.095
64 ...ceptionV3/Mixed_6d/Branch_2/Conv2d_0c_1x7/Relu 103.6 228.4 4.209
65 ...ceptionV3/Mixed_6d/Branch_2/Conv2d_0d_7x1/Relu 103.6 239.5 4.014
66 ...ceptionV3/Mixed_6d/Branch_2/Conv2d_0e_1x7/Relu 124.3 263.5 3.909
67 ...ionV3/Mixed_6d/Branch_3/AvgPool_0a_3x3/AvgPool 4.0 417.9 1.017
68 ...ceptionV3/Mixed_6d/Branch_3/Conv2d_0b_1x1/Relu 85.2 313.5 2.248
69 ...ceptionV3/Mixed_6e/Branch_0/Conv2d_0a_1x1/Relu 85.2 327.4 2.153
70 ...ceptionV3/Mixed_6e/Branch_1/Conv2d_0a_1x1/Relu 85.2 319.3 2.208
71 ...ceptionV3/Mixed_6e/Branch_1/Conv2d_0b_1x7/Relu 149.2 319.8 3.863
72 ...ceptionV3/Mixed_6e/Branch_1/Conv2d_0c_7x1/Relu 149.2 329.3 3.752
73 ...ceptionV3/Mixed_6e/Branch_2/Conv2d_0a_1x1/Relu 85.2 322.6 2.185
74 ...ceptionV3/Mixed_6e/Branch_2/Conv2d_0b_7x1/Relu 149.2 328.0 3.767
75 ...ceptionV3/Mixed_6e/Branch_2/Conv2d_0c_1x7/Relu 149.2 322.3 3.834
76 ...ceptionV3/Mixed_6e/Branch_2/Conv2d_0d_7x1/Relu 149.2 328.0 3.767
77 ...ceptionV3/Mixed_6e/Branch_2/Conv2d_0e_1x7/Relu 149.2 323.8 3.816
78 ...ionV3/Mixed_6e/Branch_3/AvgPool_0a_3x3/AvgPool 4.0 418.1 1.016
79 ...ceptionV3/Mixed_6e/Branch_3/Conv2d_0b_1x1/Relu 85.2 328.7 2.145
80 ...ceptionV3/Mixed_7a/Branch_0/Conv2d_0a_1x1/Relu 85.2 318.6 2.213
81 ...ceptionV3/Mixed_7a/Branch_0/Conv2d_1a_3x3/Relu 70.8 936.7 2.149
82 ...ceptionV3/Mixed_7a/Branch_1/Conv2d_0a_1x1/Relu 85.2 330.9 2.131
83 ...ceptionV3/Mixed_7a/Branch_1/Conv2d_0b_1x7/Relu 149.2 326.1 3.789
84 ...ceptionV3/Mixed_7a/Branch_1/Conv2d_0c_7x1/Relu 149.2 325.6 3.795
85 ...ceptionV3/Mixed_7a/Branch_1/Conv2d_1a_3x3/Relu 42.5 1021.2 1.556
86 ...ionV3/Mixed_7a/Branch_2/MaxPool_1a_3x3/MaxPool 0.4 1233.0 0.345
87 ...ceptionV3/Mixed_7b/Branch_0/Conv2d_0a_1x1/Relu 52.4 510.2 1.839
88 ...ceptionV3/Mixed_7b/Branch_1/Conv2d_0a_1x1/Relu 62.9 595.1 1.839
89 ...ceptionV3/Mixed_7b/Branch_1/Conv2d_0b_1x3/Relu 56.6 570.1 1.731
90 ...ceptionV3/Mixed_7b/Branch_1/Conv2d_0b_3x1/Relu 56.6 558.9 1.765
91 ...ceptionV3/Mixed_7b/Branch_2/Conv2d_0a_1x1/Relu 73.4 629.9 1.986
92 ...ceptionV3/Mixed_7b/Branch_2/Conv2d_0b_3x3/Relu 198.2 731.1 4.722
93 ...ceptionV3/Mixed_7b/Branch_2/Conv2d_0c_1x3/Relu 56.6 560.2 1.761
94 ...ceptionV3/Mixed_7b/Branch_2/Conv2d_0d_3x1/Relu 56.6 566.2 1.742
95 ...ionV3/Mixed_7b/Branch_3/AvgPool_0a_3x3/AvgPool 1.5 272.3 0.583
96 ...ceptionV3/Mixed_7b/Branch_3/Conv2d_0b_1x1/Relu 31.5 453.3 1.380
97 ...ceptionV3/Mixed_7c/Branch_0/Conv2d_0a_1x1/Relu 83.9 539.6 2.781
98 ...ceptionV3/Mixed_7c/Branch_1/Conv2d_0a_1x1/Relu 100.7 738.6 2.370
99 ...ceptionV3/Mixed_7c/Branch_1/Conv2d_0b_1x3/Relu 56.6 573.3 1.721
100 ...ceptionV3/Mixed_7c/Branch_1/Conv2d_0c_3x1/Relu 56.6 551.8 1.788
101 ...ceptionV3/Mixed_7c/Branch_2/Conv2d_0a_1x1/Relu 117.4 579.2 3.455
102 ...ceptionV3/Mixed_7c/Branch_2/Conv2d_0b_3x3/Relu 198.2 731.4 4.720
103 ...ceptionV3/Mixed_7c/Branch_2/Conv2d_0c_1x3/Relu 56.6 549.9 1.794
104 ...ceptionV3/Mixed_7c/Branch_2/Conv2d_0d_3x1/Relu 56.6 552.9 1.784
105 ...ionV3/Mixed_7c/Branch_3/AvgPool_0a_3x3/AvgPool 2.4 268.4 0.946
106 ...ceptionV3/Mixed_7c/Branch_3/Conv2d_0b_1x1/Relu 50.3 668.6 1.496
107 InceptionV3/AuxLogits/AvgPool_1a_5x5/AvgPool 1.0 761.4 0.558
108 InceptionV3/AuxLogits/Conv2d_1b_1x1/Relu 4.9 509.7 0.440
109 InceptionV3/AuxLogits/Conv2d_2a_5x5/Relu 4.9 1104.2 4.417
110 InceptionV3/AuxLogits/Conv2d_2b_1x1/BiasAdd 1.5 1956.8 0.751
111 InceptionV3/Logits/AvgPool_1a_8x8/AvgPool 0.3 1049.6 0.242
112 InceptionV3/Logits/Conv2d_1c_1x1/BiasAdd 4.1 2071.9 1.890
113 InceptionV3/Predictions/Softmax 0.0 19.0 0.201
-------------------------------------------------------------------------------
Total inference time 326.33
-------------------------------------------------------------------------------
Generating Profile Report 'output_report.html'...
mvNCCheck -s 12 output/inception-v3.meta -in=input -on=InceptionV3/Predictions/Reshape_1 -i ../../data/images/cat.jpg -id 917 -M 128 -S 2 -cs 0,1,2 -metric top1
mvNCCheck v02.00, Copyright @ Movidius Ltd 2016
/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/ops.py:766: DeprecationWarning: builtin type EagerTensor has no __module__ attribute
EagerTensor = c_api.TFE_Py_InitEagerTensor(_EagerTensorBase)
/usr/local/lib/python3.5/dist-packages/tensorflow/python/util/tf_inspect.py:45: DeprecationWarning: inspect.getargspec() is deprecated, use inspect.signature() instead
if d.decorator_argspec is not None), _inspect.getargspec(target))
/usr/local/lib/python3.5/dist-packages/skimage/transform/_warps.py:84: UserWarning: The default mode, 'constant', will be changed to 'reflect' in skimage 0.15.
warn("The default mode, 'constant', will be changed to 'reflect' in "
Layer InceptionV3/InceptionV3/Mixed_5c/Branch_0/Conv2d_0a_1x1/Relu forced to im2col_v2, because its output is used in concat
Layer InceptionV3/InceptionV3/Mixed_5c/Branch_3/Conv2d_0b_1x1/Relu forced to im2col_v2, because its output is used in concat
Layer InceptionV3/InceptionV3/Mixed_5d/Branch_0/Conv2d_0a_1x1/Relu forced to im2col_v2, because its output is used in concat
Layer InceptionV3/InceptionV3/Mixed_5d/Branch_3/Conv2d_0b_1x1/Relu forced to im2col_v2, because its output is used in concat
Layer InceptionV3/InceptionV3/Mixed_6a/Branch_0/Conv2d_1a_1x1/Relu forced to im2col_v2, because its output is used in concat
Layer InceptionV3/InceptionV3/Mixed_6b/Branch_0/Conv2d_0a_1x1/Relu forced to im2col_v2, because its output is used in concat
Layer InceptionV3/InceptionV3/Mixed_6b/Branch_3/Conv2d_0b_1x1/Relu forced to im2col_v2, because its output is used in concat
Layer InceptionV3/InceptionV3/Mixed_6c/Branch_0/Conv2d_0a_1x1/Relu forced to im2col_v2, because its output is used in concat
Layer InceptionV3/InceptionV3/Mixed_6c/Branch_3/Conv2d_0b_1x1/Relu forced to im2col_v2, because its output is used in concat
Layer InceptionV3/InceptionV3/Mixed_6d/Branch_0/Conv2d_0a_1x1/Relu forced to im2col_v2, because its output is used in concat
Layer InceptionV3/InceptionV3/Mixed_6d/Branch_3/Conv2d_0b_1x1/Relu forced to im2col_v2, because its output is used in concat
Layer InceptionV3/InceptionV3/Mixed_6e/Branch_0/Conv2d_0a_1x1/Relu forced to im2col_v2, because its output is used in concat
Layer InceptionV3/InceptionV3/Mixed_6e/Branch_3/Conv2d_0b_1x1/Relu forced to im2col_v2, because its output is used in concat
Layer InceptionV3/InceptionV3/Mixed_7b/Branch_0/Conv2d_0a_1x1/Relu forced to im2col_v2, because its output is used in concat
Layer InceptionV3/InceptionV3/Mixed_7b/Branch_1/Conv2d_0b_1x3/Relu forced to im2col_v2, because its output is used in concat
Layer InceptionV3/InceptionV3/Mixed_7b/Branch_1/Conv2d_0b_3x1/Relu forced to im2col_v2, because its output is used in concat
Layer InceptionV3/InceptionV3/Mixed_7b/Branch_2/Conv2d_0c_1x3/Relu forced to im2col_v2, because its output is used in concat
Layer InceptionV3/InceptionV3/Mixed_7b/Branch_2/Conv2d_0d_3x1/Relu forced to im2col_v2, because its output is used in concat
Layer InceptionV3/InceptionV3/Mixed_7b/Branch_3/Conv2d_0b_1x1/Relu forced to im2col_v2, because its output is used in concat
Layer InceptionV3/InceptionV3/Mixed_7c/Branch_0/Conv2d_0a_1x1/Relu forced to im2col_v2, because its output is used in concat
Layer InceptionV3/InceptionV3/Mixed_7c/Branch_1/Conv2d_0b_1x3/Relu forced to im2col_v2, because its output is used in concat
Layer InceptionV3/InceptionV3/Mixed_7c/Branch_1/Conv2d_0c_3x1/Relu forced to im2col_v2, because its output is used in concat
Layer InceptionV3/InceptionV3/Mixed_7c/Branch_2/Conv2d_0c_1x3/Relu forced to im2col_v2, because its output is used in concat
Layer InceptionV3/InceptionV3/Mixed_7c/Branch_2/Conv2d_0d_3x1/Relu forced to im2col_v2, because its output is used in concat
Layer InceptionV3/InceptionV3/Mixed_7c/Branch_3/Conv2d_0b_1x1/Relu forced to im2col_v2, because its output is used in concat
/usr/local/bin/ncsdk/Controllers/FileIO.py:52: UserWarning: You are using a large type. Consider reducing your data sizes for best performance
"Consider reducing your data sizes for best performance\033[0m")
USB: Transferring Data...
USB: Myriad Execution Finished
USB: Myriad Connection Closing.
USB: Myriad Connection Closed.
Result: Validation Pass
Result: (1, 1, 1001)
1) 917 1.0
Expected: (1, 1, 1, 1001)
1) 917 1.0
------------------------------------------------------------
Obtained values
------------------------------------------------------------
Obtained Min Pixel Accuracy: 0.0% (max allowed=2%), Pass
Obtained Average Pixel Accuracy: 0.0% (max allowed=1%), Pass
Obtained Percentage of wrong values: 0.0% (max allowed=0%), Pass
Obtained Pixel-wise L2 error: 0.0% (max allowed=1%), Pass
Obtained Global Sum Difference: 0.0
------------------------------------------------------------
test -f graph || mvNCCompile -s 12 output/inception-v3.meta -in=input -on=InceptionV3/Predictions/Reshape_1
inception_v3$ pwd
/home/eepp/workspace/ncsdk/examples/tensorflow/inception_v3
inception_v3$
