View source for NCS 1.12 Tensorflow Examples Make Log

<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.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$ 
</pre>