把ckpt模型文件转换为pb文件失败
作者：互联网
这里放出报错的的打印结果，如想要查看正确的打印效果，查看博客1，了解转换具体步骤，查看此篇博客
WARNING:tensorflow:From /home/gqw/anaconda3/envs/tensorflow/lib/python3.6/site-packages/tensorflow/models-master/research/object_detection/exporter.py:330: get_or_create_global_step (from tensorflow.contrib.framework.python.ops.variables) is deprecated and will be removed in a future version.
Instructions for updating:
Please switch to tf.train.get_or_create_global_step
WARNING:tensorflow:From /home/gqw/anaconda3/envs/tensorflow/lib/python3.6/site-packages/tensorflow/models-master/research/object_detection/exporter.py:484: print_model_analysis (from tensorflow.contrib.tfprof.model_analyzer) is deprecated and will be removed after 2018-01-01.
Instructions for updating:
Use `tf.profiler.profile(graph, run_meta, op_log, cmd, options)`. Build `options` with `tf.profiler.ProfileOptionBuilder`. See README.md for details
198 ops no flops stats due to incomplete shapes.
Parsing Inputs...
Incomplete shape.
=========================Options=============================
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-step -1
-order_by name
-account_type_regexes _trainable_variables
-start_name_regexes .*
-trim_name_regexes .*BatchNorm.*
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-select params
-output stdout:
==================Model Analysis Report======================
Incomplete shape.
Doc:
scope: The nodes in the model graph are organized by their names, which is hierarchical like filesystem.
param: Number of parameters (in the Variable).
Profile:
node name | # parameters
_TFProfRoot (--/31.53m params)
FeatureExtractor (--/26.73m params)
FeatureExtractor/resnet_v1_50 (--/26.73m params)
FeatureExtractor/resnet_v1_50/block1 (--/212.99k params)
FeatureExtractor/resnet_v1_50/block1/unit_1 (--/73.73k params)
FeatureExtractor/resnet_v1_50/block1/unit_1/bottleneck_v1 (--/73.73k params)
FeatureExtractor/resnet_v1_50/block1/unit_1/bottleneck_v1/conv1 (--/4.10k params)
FeatureExtractor/resnet_v1_50/block1/unit_1/bottleneck_v1/conv1/BatchNorm (--/0 params)
FeatureExtractor/resnet_v1_50/block1/unit_1/bottleneck_v1/conv1/weights (1x1x64x64, 4.10k/4.10k params)
FeatureExtractor/resnet_v1_50/block1/unit_1/bottleneck_v1/conv2 (--/36.86k params)
FeatureExtractor/resnet_v1_50/block1/unit_1/bottleneck_v1/conv2/BatchNorm (--/0 params)
FeatureExtractor/resnet_v1_50/block1/unit_1/bottleneck_v1/conv2/weights (3x3x64x64, 36.86k/36.86k params)
FeatureExtractor/resnet_v1_50/block1/unit_1/bottleneck_v1/conv3 (--/16.38k params)
FeatureExtractor/resnet_v1_50/block1/unit_1/bottleneck_v1/conv3/BatchNorm (--/0 params)
FeatureExtractor/resnet_v1_50/block1/unit_1/bottleneck_v1/conv3/weights (1x1x64x256, 16.38k/16.38k params)
FeatureExtractor/resnet_v1_50/block1/unit_1/bottleneck_v1/shortcut (--/16.38k params)
FeatureExtractor/resnet_v1_50/block1/unit_1/bottleneck_v1/shortcut/BatchNorm (--/0 params)
FeatureExtractor/resnet_v1_50/block1/unit_1/bottleneck_v1/shortcut/weights (1x1x64x256, 16.38k/16.38k params)
FeatureExtractor/resnet_v1_50/block1/unit_2 (--/69.63k params)
FeatureExtractor/resnet_v1_50/block1/unit_2/bottleneck_v1 (--/69.63k params)
FeatureExtractor/resnet_v1_50/block1/unit_2/bottleneck_v1/conv1 (--/16.38k params)
FeatureExtractor/resnet_v1_50/block1/unit_2/bottleneck_v1/conv1/BatchNorm (--/0 params)
FeatureExtractor/resnet_v1_50/block1/unit_2/bottleneck_v1/conv1/weights (1x1x256x64, 16.38k/16.38k params)
FeatureExtractor/resnet_v1_50/block1/unit_2/bottleneck_v1/conv2 (--/36.86k params)
FeatureExtractor/resnet_v1_50/block1/unit_2/bottleneck_v1/conv2/BatchNorm (--/0 params)
FeatureExtractor/resnet_v1_50/block1/unit_2/bottleneck_v1/conv2/weights (3x3x64x64, 36.86k/36.86k params)
FeatureExtractor/resnet_v1_50/block1/unit_2/bottleneck_v1/conv3 (--/16.38k params)
FeatureExtractor/resnet_v1_50/block1/unit_2/bottleneck_v1/conv3/BatchNorm (--/0 params)
FeatureExtractor/resnet_v1_50/block1/unit_2/bottleneck_v1/conv3/weights (1x1x64x256, 16.38k/16.38k params)
FeatureExtractor/resnet_v1_50/block1/unit_3 (--/69.63k params)
FeatureExtractor/resnet_v1_50/block1/unit_3/bottleneck_v1 (--/69.63k params)
FeatureExtractor/resnet_v1_50/block1/unit_3/bottleneck_v1/conv1 (--/16.38k params)
FeatureExtractor/resnet_v1_50/block1/unit_3/bottleneck_v1/conv1/BatchNorm (--/0 params)
FeatureExtractor/resnet_v1_50/block1/unit_3/bottleneck_v1/conv1/weights (1x1x256x64, 16.38k/16.38k params)
FeatureExtractor/resnet_v1_50/block1/unit_3/bottleneck_v1/conv2 (--/36.86k params)
FeatureExtractor/resnet_v1_50/block1/unit_3/bottleneck_v1/conv2/BatchNorm (--/0 params)
FeatureExtractor/resnet_v1_50/block1/unit_3/bottleneck_v1/conv2/weights (3x3x64x64, 36.86k/36.86k params)
FeatureExtractor/resnet_v1_50/block1/unit_3/bottleneck_v1/conv3 (--/16.38k params)
FeatureExtractor/resnet_v1_50/block1/unit_3/bottleneck_v1/conv3/BatchNorm (--/0 params)
FeatureExtractor/resnet_v1_50/block1/unit_3/bottleneck_v1/conv3/weights (1x1x64x256, 16.38k/16.38k params)
FeatureExtractor/resnet_v1_50/block2 (--/1.21m params)
FeatureExtractor/resnet_v1_50/block2/unit_1 (--/376.83k params)
FeatureExtractor/resnet_v1_50/block2/unit_1/bottleneck_v1 (--/376.83k params)
FeatureExtractor/resnet_v1_50/block2/unit_1/bottleneck_v1/conv1 (--/32.77k params)
FeatureExtractor/resnet_v1_50/block2/unit_1/bottleneck_v1/conv1/BatchNorm (--/0 params)
FeatureExtractor/resnet_v1_50/block2/unit_1/bottleneck_v1/conv1/weights (1x1x256x128, 32.77k/32.77k params)
FeatureExtractor/resnet_v1_50/block2/unit_1/bottleneck_v1/conv2 (--/147.46k params)
FeatureExtractor/resnet_v1_50/block2/unit_1/bottleneck_v1/conv2/BatchNorm (--/0 params)
FeatureExtractor/resnet_v1_50/block2/unit_1/bottleneck_v1/conv2/weights (3x3x128x128, 147.46k/147.46k params)
FeatureExtractor/resnet_v1_50/block2/unit_1/bottleneck_v1/conv3 (--/65.54k params)
FeatureExtractor/resnet_v1_50/block2/unit_1/bottleneck_v1/conv3/BatchNorm (--/0 params)
FeatureExtractor/resnet_v1_50/block2/unit_1/bottleneck_v1/conv3/weights (1x1x128x512, 65.54k/65.54k params)
FeatureExtractor/resnet_v1_50/block2/unit_1/bottleneck_v1/shortcut (--/131.07k params)
FeatureExtractor/resnet_v1_50/block2/unit_1/bottleneck_v1/shortcut/BatchNorm (--/0 params)
FeatureExtractor/resnet_v1_50/block2/unit_1/bottleneck_v1/shortcut/weights (1x1x256x512, 131.07k/131.07k params)
FeatureExtractor/resnet_v1_50/block2/unit_2 (--/278.53k params)
FeatureExtractor/resnet_v1_50/block2/unit_2/bottleneck_v1 (--/278.53k params)
FeatureExtractor/resnet_v1_50/block2/unit_2/bottleneck_v1/conv1 (--/65.54k params)
FeatureExtractor/resnet_v1_50/block2/unit_2/bottleneck_v1/conv1/BatchNorm (--/0 params)
FeatureExtractor/resnet_v1_50/block2/unit_2/bottleneck_v1/conv1/weights (1x1x512x128, 65.54k/65.54k params)
FeatureExtractor/resnet_v1_50/block2/unit_2/bottleneck_v1/conv2 (--/147.46k params)
FeatureExtractor/resnet_v1_50/block2/unit_2/bottleneck_v1/conv2/BatchNorm (--/0 params)
FeatureExtractor/resnet_v1_50/block2/unit_2/bottleneck_v1/conv2/weights (3x3x128x128, 147.46k/147.46k params)
FeatureExtractor/resnet_v1_50/block2/unit_2/bottleneck_v1/conv3 (--/65.54k params)
FeatureExtractor/resnet_v1_50/block2/unit_2/bottleneck_v1/conv3/BatchNorm (--/0 params)
FeatureExtractor/resnet_v1_50/block2/unit_2/bottleneck_v1/conv3/weights (1x1x128x512, 65.54k/65.54k params)
FeatureExtractor/resnet_v1_50/block2/unit_3 (--/278.53k params)
FeatureExtractor/resnet_v1_50/block2/unit_3/bottleneck_v1 (--/278.53k params)
FeatureExtractor/resnet_v1_50/block2/unit_3/bottleneck_v1/conv1 (--/65.54k params)
FeatureExtractor/resnet_v1_50/block2/unit_3/bottleneck_v1/conv1/BatchNorm (--/0 params)
FeatureExtractor/resnet_v1_50/block2/unit_3/bottleneck_v1/conv1/weights (1x1x512x128, 65.54k/65.54k params)
FeatureExtractor/resnet_v1_50/block2/unit_3/bottleneck_v1/conv2 (--/147.46k params)
FeatureExtractor/resnet_v1_50/block2/unit_3/bottleneck_v1/conv2/BatchNorm (--/0 params)
FeatureExtractor/resnet_v1_50/block2/unit_3/bottleneck_v1/conv2/weights (3x3x128x128, 147.46k/147.46k params)
FeatureExtractor/resnet_v1_50/block2/unit_3/bottleneck_v1/conv3 (--/65.54k params)
FeatureExtractor/resnet_v1_50/block2/unit_3/bottleneck_v1/conv3/BatchNorm (--/0 params)
FeatureExtractor/resnet_v1_50/block2/unit_3/bottleneck_v1/conv3/weights (1x1x128x512, 65.54k/65.54k params)
FeatureExtractor/resnet_v1_50/block2/unit_4 (--/278.53k params)
FeatureExtractor/resnet_v1_50/block2/unit_4/bottleneck_v1 (--/278.53k params)
FeatureExtractor/resnet_v1_50/block2/unit_4/bottleneck_v1/conv1 (--/65.54k params)
FeatureExtractor/resnet_v1_50/block2/unit_4/bottleneck_v1/conv1/BatchNorm (--/0 params)
FeatureExtractor/resnet_v1_50/block2/unit_4/bottleneck_v1/conv1/weights (1x1x512x128, 65.54k/65.54k params)
FeatureExtractor/resnet_v1_50/block2/unit_4/bottleneck_v1/conv2 (--/147.46k params)
FeatureExtractor/resnet_v1_50/block2/unit_4/bottleneck_v1/conv2/BatchNorm (--/0 params)
FeatureExtractor/resnet_v1_50/block2/unit_4/bottleneck_v1/conv2/weights (3x3x128x128, 147.46k/147.46k params)
FeatureExtractor/resnet_v1_50/block2/unit_4/bottleneck_v1/conv3 (--/65.54k params)
FeatureExtractor/resnet_v1_50/block2/unit_4/bottleneck_v1/conv3/BatchNorm (--/0 params)
FeatureExtractor/resnet_v1_50/block2/unit_4/bottleneck_v1/conv3/weights (1x1x128x512, 65.54k/65.54k params)
FeatureExtractor/resnet_v1_50/block3 (--/7.08m params)
FeatureExtractor/resnet_v1_50/block3/unit_1 (--/1.51m params)
FeatureExtractor/resnet_v1_50/block3/unit_1/bottleneck_v1 (--/1.51m params)
FeatureExtractor/resnet_v1_50/block3/unit_1/bottleneck_v1/conv1 (--/131.07k params)
FeatureExtractor/resnet_v1_50/block3/unit_1/bottleneck_v1/conv1/BatchNorm (--/0 params)
FeatureExtractor/resnet_v1_50/block3/unit_1/bottleneck_v1/conv1/weights (1x1x512x256, 131.07k/131.07k params)
FeatureExtractor/resnet_v1_50/block3/unit_1/bottleneck_v1/conv2 (--/589.82k params)
FeatureExtractor/resnet_v1_50/block3/unit_1/bottleneck_v1/conv2/BatchNorm (--/0 params)
FeatureExtractor/resnet_v1_50/block3/unit_1/bottleneck_v1/conv2/weights (3x3x256x256, 589.82k/589.82k params)
FeatureExtractor/resnet_v1_50/block3/unit_1/bottleneck_v1/conv3 (--/262.14k params)
FeatureExtractor/resnet_v1_50/block3/unit_1/bottleneck_v1/conv3/BatchNorm (--/0 params)
FeatureExtractor/resnet_v1_50/block3/unit_1/bottleneck_v1/conv3/weights (1x1x256x1024, 262.14k/262.14k params)
FeatureExtractor/resnet_v1_50/block3/unit_1/bottleneck_v1/shortcut (--/524.29k params)
FeatureExtractor/resnet_v1_50/block3/unit_1/bottleneck_v1/shortcut/BatchNorm (--/0 params)
FeatureExtractor/resnet_v1_50/block3/unit_1/bottleneck_v1/shortcut/weights (1x1x512x1024, 524.29k/524.29k params)
FeatureExtractor/resnet_v1_50/block3/unit_2 (--/1.11m params)
FeatureExtractor/resnet_v1_50/block3/unit_2/bottleneck_v1 (--/1.11m params)
FeatureExtractor/resnet_v1_50/block3/unit_2/bottleneck_v1/conv1 (--/262.14k params)
FeatureExtractor/resnet_v1_50/block3/unit_2/bottleneck_v1/conv1/BatchNorm (--/0 params)
FeatureExtractor/resnet_v1_50/block3/unit_2/bottleneck_v1/conv1/weights (1x1x1024x256, 262.14k/262.14k params)
FeatureExtractor/resnet_v1_50/block3/unit_2/bottleneck_v1/conv2 (--/589.82k params)
FeatureExtractor/resnet_v1_50/block3/unit_2/bottleneck_v1/conv2/BatchNorm (--/0 params)
FeatureExtractor/resnet_v1_50/block3/unit_2/bottleneck_v1/conv2/weights (3x3x256x256, 589.82k/589.82k params)
FeatureExtractor/resnet_v1_50/block3/unit_2/bottleneck_v1/conv3 (--/262.14k params)
FeatureExtractor/resnet_v1_50/block3/unit_2/bottleneck_v1/conv3/BatchNorm (--/0 params)
FeatureExtractor/resnet_v1_50/block3/unit_2/bottleneck_v1/conv3/weights (1x1x256x1024, 262.14k/262.14k params)
FeatureExtractor/resnet_v1_50/block3/unit_3 (--/1.11m params)
FeatureExtractor/resnet_v1_50/block3/unit_3/bottleneck_v1 (--/1.11m params)
FeatureExtractor/resnet_v1_50/block3/unit_3/bottleneck_v1/conv1 (--/262.14k params)
FeatureExtractor/resnet_v1_50/block3/unit_3/bottleneck_v1/conv1/BatchNorm (--/0 params)
FeatureExtractor/resnet_v1_50/block3/unit_3/bottleneck_v1/conv1/weights (1x1x1024x256, 262.14k/262.14k params)
FeatureExtractor/resnet_v1_50/block3/unit_3/bottleneck_v1/conv2 (--/589.82k params)
FeatureExtractor/resnet_v1_50/block3/unit_3/bottleneck_v1/conv2/BatchNorm (--/0 params)
FeatureExtractor/resnet_v1_50/block3/unit_3/bottleneck_v1/conv2/weights (3x3x256x256, 589.82k/589.82k params)
FeatureExtractor/resnet_v1_50/block3/unit_3/bottleneck_v1/conv3 (--/262.14k params)
FeatureExtractor/resnet_v1_50/block3/unit_3/bottleneck_v1/conv3/BatchNorm (--/0 params)
FeatureExtractor/resnet_v1_50/block3/unit_3/bottleneck_v1/conv3/weights (1x1x256x1024, 262.14k/262.14k params)
FeatureExtractor/resnet_v1_50/block3/unit_4 (--/1.11m params)
FeatureExtractor/resnet_v1_50/block3/unit_4/bottleneck_v1 (--/1.11m params)
FeatureExtractor/resnet_v1_50/block3/unit_4/bottleneck_v1/conv1 (--/262.14k params)
FeatureExtractor/resnet_v1_50/block3/unit_4/bottleneck_v1/conv1/BatchNorm (--/0 params)
FeatureExtractor/resnet_v1_50/block3/unit_4/bottleneck_v1/conv1/weights (1x1x1024x256, 262.14k/262.14k params)
FeatureExtractor/resnet_v1_50/block3/unit_4/bottleneck_v1/conv2 (--/589.82k params)
FeatureExtractor/resnet_v1_50/block3/unit_4/bottleneck_v1/conv2/BatchNorm (--/0 params)
FeatureExtractor/resnet_v1_50/block3/unit_4/bottleneck_v1/conv2/weights (3x3x256x256, 589.82k/589.82k params)
FeatureExtractor/resnet_v1_50/block3/unit_4/bottleneck_v1/conv3 (--/262.14k params)
FeatureExtractor/resnet_v1_50/block3/unit_4/bottleneck_v1/conv3/BatchNorm (--/0 params)
FeatureExtractor/resnet_v1_50/block3/unit_4/bottleneck_v1/conv3/weights (1x1x256x1024, 262.14k/262.14k params)
FeatureExtractor/resnet_v1_50/block3/unit_5 (--/1.11m params)
FeatureExtractor/resnet_v1_50/block3/unit_5/bottleneck_v1 (--/1.11m params)
FeatureExtractor/resnet_v1_50/block3/unit_5/bottleneck_v1/conv1 (--/262.14k params)
FeatureExtractor/resnet_v1_50/block3/unit_5/bottleneck_v1/conv1/BatchNorm (--/0 params)
FeatureExtractor/resnet_v1_50/block3/unit_5/bottleneck_v1/conv1/weights (1x1x1024x256, 262.14k/262.14k params)
FeatureExtractor/resnet_v1_50/block3/unit_5/bottleneck_v1/conv2 (--/589.82k params)
FeatureExtractor/resnet_v1_50/block3/unit_5/bottleneck_v1/conv2/BatchNorm (--/0 params)
FeatureExtractor/resnet_v1_50/block3/unit_5/bottleneck_v1/conv2/weights (3x3x256x256, 589.82k/589.82k params)
FeatureExtractor/resnet_v1_50/block3/unit_5/bottleneck_v1/conv3 (--/262.14k params)
FeatureExtractor/resnet_v1_50/block3/unit_5/bottleneck_v1/conv3/BatchNorm (--/0 params)
FeatureExtractor/resnet_v1_50/block3/unit_5/bottleneck_v1/conv3/weights (1x1x256x1024, 262.14k/262.14k params)
FeatureExtractor/resnet_v1_50/block3/unit_6 (--/1.11m params)
FeatureExtractor/resnet_v1_50/block3/unit_6/bottleneck_v1 (--/1.11m params)
FeatureExtractor/resnet_v1_50/block3/unit_6/bottleneck_v1/conv1 (--/262.14k params)
FeatureExtractor/resnet_v1_50/block3/unit_6/bottleneck_v1/conv1/BatchNorm (--/0 params)
FeatureExtractor/resnet_v1_50/block3/unit_6/bottleneck_v1/conv1/weights (1x1x1024x256, 262.14k/262.14k params)
FeatureExtractor/resnet_v1_50/block3/unit_6/bottleneck_v1/conv2 (--/589.82k params)
FeatureExtractor/resnet_v1_50/block3/unit_6/bottleneck_v1/conv2/BatchNorm (--/0 params)
FeatureExtractor/resnet_v1_50/block3/unit_6/bottleneck_v1/conv2/weights (3x3x256x256, 589.82k/589.82k params)
FeatureExtractor/resnet_v1_50/block3/unit_6/bottleneck_v1/conv3 (--/262.14k params)
FeatureExtractor/resnet_v1_50/block3/unit_6/bottleneck_v1/conv3/BatchNorm (--/0 params)
FeatureExtractor/resnet_v1_50/block3/unit_6/bottleneck_v1/conv3/weights (1x1x256x1024, 262.14k/262.14k params)
FeatureExtractor/resnet_v1_50/block4 (--/14.94m params)
FeatureExtractor/resnet_v1_50/block4/unit_1 (--/6.03m params)
FeatureExtractor/resnet_v1_50/block4/unit_1/bottleneck_v1 (--/6.03m params)
FeatureExtractor/resnet_v1_50/block4/unit_1/bottleneck_v1/conv1 (--/524.29k params)
FeatureExtractor/resnet_v1_50/block4/unit_1/bottleneck_v1/conv1/BatchNorm (--/0 params)
FeatureExtractor/resnet_v1_50/block4/unit_1/bottleneck_v1/conv1/weights (1x1x1024x512, 524.29k/524.29k params)
FeatureExtractor/resnet_v1_50/block4/unit_1/bottleneck_v1/conv2 (--/2.36m params)
FeatureExtractor/resnet_v1_50/block4/unit_1/bottleneck_v1/conv2/BatchNorm (--/0 params)
FeatureExtractor/resnet_v1_50/block4/unit_1/bottleneck_v1/conv2/weights (3x3x512x512, 2.36m/2.36m params)
FeatureExtractor/resnet_v1_50/block4/unit_1/bottleneck_v1/conv3 (--/1.05m params)
FeatureExtractor/resnet_v1_50/block4/unit_1/bottleneck_v1/conv3/BatchNorm (--/0 params)
FeatureExtractor/resnet_v1_50/block4/unit_1/bottleneck_v1/conv3/weights (1x1x512x2048, 1.05m/1.05m params)
FeatureExtractor/resnet_v1_50/block4/unit_1/bottleneck_v1/shortcut (--/2.10m params)
FeatureExtractor/resnet_v1_50/block4/unit_1/bottleneck_v1/shortcut/BatchNorm (--/0 params)
FeatureExtractor/resnet_v1_50/block4/unit_1/bottleneck_v1/shortcut/weights (1x1x1024x2048, 2.10m/2.10m params)
FeatureExtractor/resnet_v1_50/block4/unit_2 (--/4.46m params)
FeatureExtractor/resnet_v1_50/block4/unit_2/bottleneck_v1 (--/4.46m params)
FeatureExtractor/resnet_v1_50/block4/unit_2/bottleneck_v1/conv1 (--/1.05m params)
FeatureExtractor/resnet_v1_50/block4/unit_2/bottleneck_v1/conv1/BatchNorm (--/0 params)
FeatureExtractor/resnet_v1_50/block4/unit_2/bottleneck_v1/conv1/weights (1x1x2048x512, 1.05m/1.05m params)
FeatureExtractor/resnet_v1_50/block4/unit_2/bottleneck_v1/conv2 (--/2.36m params)
FeatureExtractor/resnet_v1_50/block4/unit_2/bottleneck_v1/conv2/BatchNorm (--/0 params)
FeatureExtractor/resnet_v1_50/block4/unit_2/bottleneck_v1/conv2/weights (3x3x512x512, 2.36m/2.36m params)
FeatureExtractor/resnet_v1_50/block4/unit_2/bottleneck_v1/conv3 (--/1.05m params)
FeatureExtractor/resnet_v1_50/block4/unit_2/bottleneck_v1/conv3/BatchNorm (--/0 params)
FeatureExtractor/resnet_v1_50/block4/unit_2/bottleneck_v1/conv3/weights (1x1x512x2048, 1.05m/1.05m params)
FeatureExtractor/resnet_v1_50/block4/unit_3 (--/4.46m params)
FeatureExtractor/resnet_v1_50/block4/unit_3/bottleneck_v1 (--/4.46m params)
FeatureExtractor/resnet_v1_50/block4/unit_3/bottleneck_v1/conv1 (--/1.05m params)
FeatureExtractor/resnet_v1_50/block4/unit_3/bottleneck_v1/conv1/BatchNorm (--/0 params)
FeatureExtractor/resnet_v1_50/block4/unit_3/bottleneck_v1/conv1/weights (1x1x2048x512, 1.05m/1.05m params)
FeatureExtractor/resnet_v1_50/block4/unit_3/bottleneck_v1/conv2 (--/2.36m params)
FeatureExtractor/resnet_v1_50/block4/unit_3/bottleneck_v1/conv2/BatchNorm (--/0 params)
FeatureExtractor/resnet_v1_50/block4/unit_3/bottleneck_v1/conv2/weights (3x3x512x512, 2.36m/2.36m params)
FeatureExtractor/resnet_v1_50/block4/unit_3/bottleneck_v1/conv3 (--/1.05m params)
FeatureExtractor/resnet_v1_50/block4/unit_3/bottleneck_v1/conv3/BatchNorm (--/0 params)
FeatureExtractor/resnet_v1_50/block4/unit_3/bottleneck_v1/conv3/weights (1x1x512x2048, 1.05m/1.05m params)
FeatureExtractor/resnet_v1_50/conv1 (--/9.41k params)
FeatureExtractor/resnet_v1_50/conv1/BatchNorm (--/0 params)
FeatureExtractor/resnet_v1_50/conv1/weights (7x7x3x64, 9.41k/9.41k params)
FeatureExtractor/resnet_v1_50/fpn (--/3.28m params)
FeatureExtractor/resnet_v1_50/fpn/bottom_up_block5 (--/589.82k params)
FeatureExtractor/resnet_v1_50/fpn/bottom_up_block5/BatchNorm (--/0 params)
FeatureExtractor/resnet_v1_50/fpn/bottom_up_block5/weights (3x3x256x256, 589.82k/589.82k params)
FeatureExtractor/resnet_v1_50/fpn/bottom_up_block6 (--/589.82k params)
FeatureExtractor/resnet_v1_50/fpn/bottom_up_block6/BatchNorm (--/0 params)
FeatureExtractor/resnet_v1_50/fpn/bottom_up_block6/weights (3x3x256x256, 589.82k/589.82k params)
FeatureExtractor/resnet_v1_50/fpn/projection_1 (--/131.33k params)
FeatureExtractor/resnet_v1_50/fpn/projection_1/biases (256, 256/256 params)
FeatureExtractor/resnet_v1_50/fpn/projection_1/weights (1x1x512x256, 131.07k/131.07k params)
FeatureExtractor/resnet_v1_50/fpn/projection_2 (--/262.40k params)
FeatureExtractor/resnet_v1_50/fpn/projection_2/biases (256, 256/256 params)
FeatureExtractor/resnet_v1_50/fpn/projection_2/weights (1x1x1024x256, 262.14k/262.14k params)
FeatureExtractor/resnet_v1_50/fpn/projection_3 (--/524.54k params)
FeatureExtractor/resnet_v1_50/fpn/projection_3/biases (256, 256/256 params)
FeatureExtractor/resnet_v1_50/fpn/projection_3/weights (1x1x2048x256, 524.29k/524.29k params)
FeatureExtractor/resnet_v1_50/fpn/smoothing_1 (--/589.82k params)
FeatureExtractor/resnet_v1_50/fpn/smoothing_1/BatchNorm (--/0 params)
FeatureExtractor/resnet_v1_50/fpn/smoothing_1/weights (3x3x256x256, 589.82k/589.82k params)
FeatureExtractor/resnet_v1_50/fpn/smoothing_2 (--/589.82k params)
FeatureExtractor/resnet_v1_50/fpn/smoothing_2/BatchNorm (--/0 params)
FeatureExtractor/resnet_v1_50/fpn/smoothing_2/weights (3x3x256x256, 589.82k/589.82k params)
WeightSharedConvolutionalBoxPredictor (--/4.80m params)
WeightSharedConvolutionalBoxPredictor/BoxPredictionTower (--/2.36m params)
WeightSharedConvolutionalBoxPredictor/BoxPredictionTower/conv2d_0 (--/589.82k params)
WeightSharedConvolutionalBoxPredictor/BoxPredictionTower/conv2d_0/BatchNorm (--/0 params)
WeightSharedConvolutionalBoxPredictor/BoxPredictionTower/conv2d_0/weights (3x3x256x256, 589.82k/589.82k params)
WeightSharedConvolutionalBoxPredictor/BoxPredictionTower/conv2d_1 (--/589.82k params)
WeightSharedConvolutionalBoxPredictor/BoxPredictionTower/conv2d_1/BatchNorm (--/0 params)
WeightSharedConvolutionalBoxPredictor/BoxPredictionTower/conv2d_1/weights (3x3x256x256, 589.82k/589.82k params)
WeightSharedConvolutionalBoxPredictor/BoxPredictionTower/conv2d_2 (--/589.82k params)
WeightSharedConvolutionalBoxPredictor/BoxPredictionTower/conv2d_2/BatchNorm (--/0 params)
WeightSharedConvolutionalBoxPredictor/BoxPredictionTower/conv2d_2/weights (3x3x256x256, 589.82k/589.82k params)
WeightSharedConvolutionalBoxPredictor/BoxPredictionTower/conv2d_3 (--/589.82k params)
WeightSharedConvolutionalBoxPredictor/BoxPredictionTower/conv2d_3/BatchNorm (--/0 params)
WeightSharedConvolutionalBoxPredictor/BoxPredictionTower/conv2d_3/weights (3x3x256x256, 589.82k/589.82k params)
WeightSharedConvolutionalBoxPredictor/BoxPredictor (--/55.32k params)
WeightSharedConvolutionalBoxPredictor/BoxPredictor/biases (24, 24/24 params)
WeightSharedConvolutionalBoxPredictor/BoxPredictor/weights (3x3x256x24, 55.30k/55.30k params)
WeightSharedConvolutionalBoxPredictor/ClassPredictionTower (--/2.36m params)
WeightSharedConvolutionalBoxPredictor/ClassPredictionTower/conv2d_0 (--/589.82k params)
WeightSharedConvolutionalBoxPredictor/ClassPredictionTower/conv2d_0/BatchNorm (--/0 params)
WeightSharedConvolutionalBoxPredictor/ClassPredictionTower/conv2d_0/weights (3x3x256x256, 589.82k/589.82k params)
WeightSharedConvolutionalBoxPredictor/ClassPredictionTower/conv2d_1 (--/589.82k params)
WeightSharedConvolutionalBoxPredictor/ClassPredictionTower/conv2d_1/BatchNorm (--/0 params)
WeightSharedConvolutionalBoxPredictor/ClassPredictionTower/conv2d_1/weights (3x3x256x256, 589.82k/589.82k params)
WeightSharedConvolutionalBoxPredictor/ClassPredictionTower/conv2d_2 (--/589.82k params)
WeightSharedConvolutionalBoxPredictor/ClassPredictionTower/conv2d_2/BatchNorm (--/0 params)
WeightSharedConvolutionalBoxPredictor/ClassPredictionTower/conv2d_2/weights (3x3x256x256, 589.82k/589.82k params)
WeightSharedConvolutionalBoxPredictor/ClassPredictionTower/conv2d_3 (--/589.82k params)
WeightSharedConvolutionalBoxPredictor/ClassPredictionTower/conv2d_3/BatchNorm (--/0 params)
WeightSharedConvolutionalBoxPredictor/ClassPredictionTower/conv2d_3/weights (3x3x256x256, 589.82k/589.82k params)
WeightSharedConvolutionalBoxPredictor/ClassPredictor (--/27.66k params)
WeightSharedConvolutionalBoxPredictor/ClassPredictor/biases (12, 12/12 params)
WeightSharedConvolutionalBoxPredictor/ClassPredictor/weights (3x3x256x12, 27.65k/27.65k params)
======================End of Report==========================
198 ops no flops stats due to incomplete shapes.
Parsing Inputs...
Incomplete shape.
=========================Options=============================
-max_depth 10000
-min_bytes 0
-min_peak_bytes 0
-min_residual_bytes 0
-min_output_bytes 0
-min_micros 0
-min_accelerator_micros 0
-min_cpu_micros 0
-min_params 0
-min_float_ops 1
-min_occurrence 0
-step -1
-order_by float_ops
-account_type_regexes .*
-start_name_regexes .*
-trim_name_regexes .*BatchNorm.*,.*Initializer.*,.*Regularizer.*,.*BiasAdd.*
-show_name_regexes .*
-hide_name_regexes
-account_displayed_op_only true
-select float_ops
-output stdout:
==================Model Analysis Report======================
Incomplete shape.
Doc:
scope: The nodes in the model graph are organized by their names, which is hierarchical like filesystem.
flops: Number of float operations. Note: Please read the implementation for the math behind it.
Profile:
node name | # float_ops
_TFProfRoot (--/614.61k flops)
MultiscaleGridAnchorGenerator/GridAnchorGenerator/add_2 (76.80k/76.80k flops)
MultiscaleGridAnchorGenerator/GridAnchorGenerator/sub (76.80k/76.80k flops)
MultiscaleGridAnchorGenerator/GridAnchorGenerator/mul_5 (76.80k/76.80k flops)
MultiscaleGridAnchorGenerator/GridAnchorGenerator/mul_6 (76.80k/76.80k flops)
MultiscaleGridAnchorGenerator/ToNormalizedCoordinates/Scale/mul_3 (38.40k/38.40k flops)
MultiscaleGridAnchorGenerator/ToNormalizedCoordinates/Scale/mul_2 (38.40k/38.40k flops)
MultiscaleGridAnchorGenerator/ToNormalizedCoordinates/Scale/mul_1 (38.40k/38.40k flops)
MultiscaleGridAnchorGenerator/ToNormalizedCoordinates/Scale/mul (38.40k/38.40k flops)
MultiscaleGridAnchorGenerator/GridAnchorGenerator_1/mul_5 (19.20k/19.20k flops)
MultiscaleGridAnchorGenerator/GridAnchorGenerator_1/mul_6 (19.20k/19.20k flops)
MultiscaleGridAnchorGenerator/GridAnchorGenerator_1/sub (19.20k/19.20k flops)
MultiscaleGridAnchorGenerator/GridAnchorGenerator_1/add_2 (19.20k/19.20k flops)
MultiscaleGridAnchorGenerator/ToNormalizedCoordinates_1/Scale/mul_3 (9.60k/9.60k flops)
MultiscaleGridAnchorGenerator/ToNormalizedCoordinates_1/Scale/mul_2 (9.60k/9.60k flops)
MultiscaleGridAnchorGenerator/ToNormalizedCoordinates_1/Scale/mul_1 (9.60k/9.60k flops)
MultiscaleGridAnchorGenerator/ToNormalizedCoordinates_1/Scale/mul (9.60k/9.60k flops)
MultiscaleGridAnchorGenerator/GridAnchorGenerator_2/sub (4.80k/4.80k flops)
MultiscaleGridAnchorGenerator/GridAnchorGenerator_2/mul_6 (4.80k/4.80k flops)
MultiscaleGridAnchorGenerator/GridAnchorGenerator_2/add_2 (4.80k/4.80k flops)
MultiscaleGridAnchorGenerator/GridAnchorGenerator_2/mul_5 (4.80k/4.80k flops)
MultiscaleGridAnchorGenerator/ToNormalizedCoordinates_2/Scale/mul_1 (2.40k/2.40k flops)
MultiscaleGridAnchorGenerator/ToNormalizedCoordinates_2/Scale/mul_2 (2.40k/2.40k flops)
MultiscaleGridAnchorGenerator/ToNormalizedCoordinates_2/Scale/mul_3 (2.40k/2.40k flops)
MultiscaleGridAnchorGenerator/ToNormalizedCoordinates_2/Scale/mul (2.40k/2.40k flops)
MultiscaleGridAnchorGenerator/GridAnchorGenerator_3/add_2 (1.20k/1.20k flops)
MultiscaleGridAnchorGenerator/GridAnchorGenerator_3/sub (1.20k/1.20k flops)
MultiscaleGridAnchorGenerator/GridAnchorGenerator_3/mul_6 (1.20k/1.20k flops)
MultiscaleGridAnchorGenerator/GridAnchorGenerator_3/mul_5 (1.20k/1.20k flops)
MultiscaleGridAnchorGenerator/ToNormalizedCoordinates_3/Scale/mul_2 (600/600 flops)
MultiscaleGridAnchorGenerator/ToNormalizedCoordinates_3/Scale/mul_1 (600/600 flops)
MultiscaleGridAnchorGenerator/ToNormalizedCoordinates_3/Scale/mul (600/600 flops)
MultiscaleGridAnchorGenerator/ToNormalizedCoordinates_3/Scale/mul_3 (600/600 flops)
MultiscaleGridAnchorGenerator/GridAnchorGenerator_4/sub (300/300 flops)
MultiscaleGridAnchorGenerator/GridAnchorGenerator_4/mul_6 (300/300 flops)
MultiscaleGridAnchorGenerator/GridAnchorGenerator_4/mul_5 (300/300 flops)
MultiscaleGridAnchorGenerator/GridAnchorGenerator_4/add_2 (300/300 flops)
MultiscaleGridAnchorGenerator/ToNormalizedCoordinates_4/Scale/mul (150/150 flops)
MultiscaleGridAnchorGenerator/ToNormalizedCoordinates_4/Scale/mul_3 (150/150 flops)
MultiscaleGridAnchorGenerator/ToNormalizedCoordinates_4/Scale/mul_2 (150/150 flops)
MultiscaleGridAnchorGenerator/ToNormalizedCoordinates_4/Scale/mul_1 (150/150 flops)
MultiscaleGridAnchorGenerator/GridAnchorGenerator/mul_4 (80/80 flops)
MultiscaleGridAnchorGenerator/GridAnchorGenerator/add_1 (80/80 flops)
MultiscaleGridAnchorGenerator/GridAnchorGenerator/mul_3 (80/80 flops)
MultiscaleGridAnchorGenerator/GridAnchorGenerator/add (80/80 flops)
MultiscaleGridAnchorGenerator/GridAnchorGenerator_1/add (40/40 flops)
MultiscaleGridAnchorGenerator/GridAnchorGenerator_1/mul_3 (40/40 flops)
MultiscaleGridAnchorGenerator/GridAnchorGenerator_1/mul_4 (40/40 flops)
MultiscaleGridAnchorGenerator/GridAnchorGenerator_1/add_1 (40/40 flops)
MultiscaleGridAnchorGenerator/GridAnchorGenerator_2/mul_4 (20/20 flops)
MultiscaleGridAnchorGenerator/GridAnchorGenerator_2/mul_3 (20/20 flops)
MultiscaleGridAnchorGenerator/GridAnchorGenerator_2/add_1 (20/20 flops)
MultiscaleGridAnchorGenerator/GridAnchorGenerator_2/add (20/20 flops)
MultiscaleGridAnchorGenerator/GridAnchorGenerator_3/add_1 (10/10 flops)
MultiscaleGridAnchorGenerator/GridAnchorGenerator_3/add (10/10 flops)
MultiscaleGridAnchorGenerator/GridAnchorGenerator_3/mul_3 (10/10 flops)
MultiscaleGridAnchorGenerator/GridAnchorGenerator_3/mul_4 (10/10 flops)
MultiscaleGridAnchorGenerator/GridAnchorGenerator_4/mul_2 (6/6 flops)
MultiscaleGridAnchorGenerator/GridAnchorGenerator_3/mul_1 (6/6 flops)
MultiscaleGridAnchorGenerator/GridAnchorGenerator/mul (6/6 flops)
MultiscaleGridAnchorGenerator/GridAnchorGenerator/mul_1 (6/6 flops)
MultiscaleGridAnchorGenerator/GridAnchorGenerator/mul_2 (6/6 flops)
MultiscaleGridAnchorGenerator/GridAnchorGenerator_4/truediv (6/6 flops)
MultiscaleGridAnchorGenerator/GridAnchorGenerator_4/mul_1 (6/6 flops)
MultiscaleGridAnchorGenerator/GridAnchorGenerator_4/mul (6/6 flops)
MultiscaleGridAnchorGenerator/GridAnchorGenerator_3/truediv (6/6 flops)
MultiscaleGridAnchorGenerator/GridAnchorGenerator_3/mul_2 (6/6 flops)
MultiscaleGridAnchorGenerator/GridAnchorGenerator_1/mul_1 (6/6 flops)
MultiscaleGridAnchorGenerator/GridAnchorGenerator_3/mul (6/6 flops)
MultiscaleGridAnchorGenerator/GridAnchorGenerator_2/truediv (6/6 flops)
MultiscaleGridAnchorGenerator/GridAnchorGenerator/truediv (6/6 flops)
MultiscaleGridAnchorGenerator/GridAnchorGenerator_2/mul_2 (6/6 flops)
MultiscaleGridAnchorGenerator/GridAnchorGenerator_2/mul_1 (6/6 flops)
MultiscaleGridAnchorGenerator/GridAnchorGenerator_2/mul (6/6 flops)
MultiscaleGridAnchorGenerator/GridAnchorGenerator_1/truediv (6/6 flops)
MultiscaleGridAnchorGenerator/GridAnchorGenerator_1/mul (6/6 flops)
MultiscaleGridAnchorGenerator/GridAnchorGenerator_1/mul_2 (6/6 flops)
MultiscaleGridAnchorGenerator/GridAnchorGenerator_4/add_1 (5/5 flops)
MultiscaleGridAnchorGenerator/GridAnchorGenerator_4/mul_4 (5/5 flops)
MultiscaleGridAnchorGenerator/GridAnchorGenerator_4/mul_3 (5/5 flops)
MultiscaleGridAnchorGenerator/GridAnchorGenerator_4/add (5/5 flops)
Postprocessor/Decode/get_center_coordinates_and_sizes/transpose/sub_1 (2/2 flops)
Postprocessor/Decode/transpose_1/sub_1 (2/2 flops)
Postprocessor/Decode/transpose/sub_1 (2/2 flops)
Postprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub_3 (1/1 flops)
Preprocessor/map/while/Less (1/1 flops)
Postprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub_2 (1/1 flops)
Postprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub_13 (1/1 flops)
Postprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub_12 (1/1 flops)
Postprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub_11 (1/1 flops)
Postprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub_10 (1/1 flops)
Postprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub_1 (1/1 flops)
Postprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub (1/1 flops)
Postprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/Greater_6 (1/1 flops)
Postprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/Greater_5 (1/1 flops)
Postprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/Greater_4 (1/1 flops)
Postprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/Greater_3 (1/1 flops)
Postprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/Greater_2 (1/1 flops)
Postprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/Greater_1 (1/1 flops)
Postprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/Greater (1/1 flops)
Postprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub_4 (1/1 flops)
Preprocessor/map/while/add (1/1 flops)
Preprocessor/map/while/Less_1 (1/1 flops)
Postprocessor/BatchMultiClassNonMaxSuppression/map/while/add_1 (1/1 flops)
Postprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub_5 (1/1 flops)
Postprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub_6 (1/1 flops)
Postprocessor/Decode/transpose_1/sub (1/1 flops)
Postprocessor/Decode/transpose/sub (1/1 flops)
Postprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub_7 (1/1 flops)
Postprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub_8 (1/1 flops)
Preprocessor/map/while/add_1 (1/1 flops)
Postprocessor/Decode/get_center_coordinates_and_sizes/transpose/sub (1/1 flops)
Postprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub_9 (1/1 flops)
Postprocessor/BatchMultiClassNonMaxSuppression/map/while/add (1/1 flops)
Postprocessor/BatchMultiClassNonMaxSuppression/ones/Less (1/1 flops)
MultiscaleGridAnchorGenerator/GridAnchorGenerator_4/add_3 (1/1 flops)
MultiscaleGridAnchorGenerator/ToNormalizedCoordinates_3/truediv (1/1 flops)
MultiscaleGridAnchorGenerator/ToNormalizedCoordinates_2/truediv_1 (1/1 flops)
MultiscaleGridAnchorGenerator/ToNormalizedCoordinates_2/truediv (1/1 flops)
MultiscaleGridAnchorGenerator/ToNormalizedCoordinates_1/truediv_1 (1/1 flops)
MultiscaleGridAnchorGenerator/ToNormalizedCoordinates_1/truediv (1/1 flops)
MultiscaleGridAnchorGenerator/ToNormalizedCoordinates/truediv_1 (1/1 flops)
MultiscaleGridAnchorGenerator/ToNormalizedCoordinates/truediv (1/1 flops)
MultiscaleGridAnchorGenerator/GridAnchorGenerator_4/assert_equal/Equal (1/1 flops)
MultiscaleGridAnchorGenerator/ToNormalizedCoordinates_3/truediv_1 (1/1 flops)
MultiscaleGridAnchorGenerator/GridAnchorGenerator_3/assert_equal/Equal (1/1 flops)
MultiscaleGridAnchorGenerator/GridAnchorGenerator_3/add_3 (1/1 flops)
MultiscaleGridAnchorGenerator/GridAnchorGenerator_2/assert_equal/Equal (1/1 flops)
MultiscaleGridAnchorGenerator/GridAnchorGenerator_2/add_3 (1/1 flops)
MultiscaleGridAnchorGenerator/GridAnchorGenerator_1/assert_equal/Equal (1/1 flops)
MultiscaleGridAnchorGenerator/GridAnchorGenerator_1/add_3 (1/1 flops)
MultiscaleGridAnchorGenerator/GridAnchorGenerator/assert_equal/Equal (1/1 flops)
MultiscaleGridAnchorGenerator/GridAnchorGenerator/add_3 (1/1 flops)
MultiscaleGridAnchorGenerator/assert_equal/Equal (1/1 flops)
Postprocessor/BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/add (1/1 flops)
Postprocessor/BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/SortByField_1/Equal (1/1 flops)
Postprocessor/BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/SortByField/Equal (1/1 flops)
Postprocessor/BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/Minimum_1 (1/1 flops)
Postprocessor/BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/Minimum (1/1 flops)
Postprocessor/BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/Greater (1/1 flops)
Postprocessor/BatchMultiClassNonMaxSuppression/map/while/Less_1 (1/1 flops)
Postprocessor/BatchMultiClassNonMaxSuppression/map/while/Less (1/1 flops)
Postprocessor/BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/sub (1/1 flops)
MultiscaleGridAnchorGenerator/add_4 (1/1 flops)
MultiscaleGridAnchorGenerator/add_3 (1/1 flops)
MultiscaleGridAnchorGenerator/add_2 (1/1 flops)
MultiscaleGridAnchorGenerator/add_1 (1/1 flops)
MultiscaleGridAnchorGenerator/add (1/1 flops)
MultiscaleGridAnchorGenerator/ToNormalizedCoordinates_4/truediv_1 (1/1 flops)
MultiscaleGridAnchorGenerator/ToNormalizedCoordinates_4/truediv (1/1 flops)
======================End of Report==========================
2020-12-08 20:13:06.038763: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX AVX2 FMA
2020-12-08 20:13:06.108825: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:897] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-12-08 20:13:06.109194: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1392] Found device 0 with properties:
name: GeForce GTX 1050 Ti major: 6 minor: 1 memoryClockRate(GHz): 1.62
pciBusID: 0000:01:00.0
totalMemory: 3.95GiB freeMemory: 3.39GiB
2020-12-08 20:13:06.109228: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1471] Adding visible gpu devices: 0
2020-12-08 20:13:06.310096: I tensorflow/core/common_runtime/gpu/gpu_device.cc:952] Device interconnect StreamExecutor with strength 1 edge matrix:
2020-12-08 20:13:06.310129: I tensorflow/core/common_runtime/gpu/gpu_device.cc:958] 0
2020-12-08 20:13:06.310157: I tensorflow/core/common_runtime/gpu/gpu_device.cc:971] 0: N
2020-12-08 20:13:06.310299: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1084] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 3109 MB memory) -> physical GPU (device: 0, name: GeForce GTX 1050 Ti, pci bus id: 0000:01:00.0, compute capability: 6.1)
2020-12-08 20:13:06.485109: W tensorflow/core/framework/op_kernel.cc:1318] OP_REQUIRES failed at save_restore_tensor.cc:170 : Invalid argument: Unsuccessful TensorSliceReader constructor: Failed to get matching files on =/media/gqw/Sduty/Linux_tensorflow/widerface/resnet50v1-fpn/model.ckpt-49258: Not found: =/media/gqw/Sduty/Linux_tensorflow/widerface/resnet50v1-fpn; No such file or directory
Traceback (most recent call last):
File "/home/gqw/anaconda3/envs/tensorflow/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1322, in _do_call
return fn(*args)
File "/home/gqw/anaconda3/envs/tensorflow/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1307, in _run_fn
options, feed_dict, fetch_list, target_list, run_metadata)
File "/home/gqw/anaconda3/envs/tensorflow/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1409, in _call_tf_sessionrun
run_metadata)
tensorflow.python.framework.errors_impl.InvalidArgumentError: Unsuccessful TensorSliceReader constructor: Failed to get matching files on =/media/gqw/Sduty/Linux_tensorflow/widerface/resnet50v1-fpn/model.ckpt-49258: Not found: =/media/gqw/Sduty/Linux_tensorflow/widerface/resnet50v1-fpn; No such file or directory
[[Node: save/RestoreV2 = RestoreV2[dtypes=[DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, ..., DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_INT64], _device="/job:localhost/replica:0/task:0/device:CPU:0"](_arg_save/Const_0_0, save/RestoreV2/tensor_names, save/RestoreV2/shape_and_slices)]]
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "object_detection/export_inference_graph.py", line 150, in <module>
tf.app.run()
File "/home/gqw/anaconda3/envs/tensorflow/lib/python3.6/site-packages/tensorflow/python/platform/app.py", line 125, in run
_sys.exit(main(argv))
File "object_detection/export_inference_graph.py", line 146, in main
write_inference_graph=FLAGS.write_inference_graph)
File "/home/gqw/anaconda3/envs/tensorflow/lib/python3.6/site-packages/tensorflow/models-master/research/object_detection/exporter.py", line 455, in export_inference_graph
write_inference_graph=write_inference_graph)
File "/home/gqw/anaconda3/envs/tensorflow/lib/python3.6/site-packages/tensorflow/models-master/research/object_detection/exporter.py", line 384, in _export_inference_graph
trained_checkpoint_prefix=checkpoint_to_use)
File "/home/gqw/anaconda3/envs/tensorflow/lib/python3.6/site-packages/tensorflow/models-master/research/object_detection/exporter.py", line 295, in write_graph_and_checkpoint
saver.restore(sess, trained_checkpoint_prefix)
File "/home/gqw/anaconda3/envs/tensorflow/lib/python3.6/site-packages/tensorflow/python/training/saver.py", line 1752, in restore
{self.saver_def.filename_tensor_name: save_path})
File "/home/gqw/anaconda3/envs/tensorflow/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 900, in run
run_metadata_ptr)
File "/home/gqw/anaconda3/envs/tensorflow/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1135, in _run
feed_dict_tensor, options, run_metadata)
File "/home/gqw/anaconda3/envs/tensorflow/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1316, in _do_run
run_metadata)
File "/home/gqw/anaconda3/envs/tensorflow/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1335, in _do_call
raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.InvalidArgumentError: Unsuccessful TensorSliceReader constructor: Failed to get matching files on =/media/gqw/Sduty/Linux_tensorflow/widerface/resnet50v1-fpn/model.ckpt-49258: Not found: =/media/gqw/Sduty/Linux_tensorflow/widerface/resnet50v1-fpn; No such file or directory
[[Node: save/RestoreV2 = RestoreV2[dtypes=[DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, ..., DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_INT64], _device="/job:localhost/replica:0/task:0/device:CPU:0"](_arg_save/Const_0_0, save/RestoreV2/tensor_names, save/RestoreV2/shape_and_slices)]]
Caused by op 'save/RestoreV2', defined at:
File "object_detection/export_inference_graph.py", line 150, in <module>
tf.app.run()
File "/home/gqw/anaconda3/envs/tensorflow/lib/python3.6/site-packages/tensorflow/python/platform/app.py", line 125, in run
_sys.exit(main(argv))
File "object_detection/export_inference_graph.py", line 146, in main
write_inference_graph=FLAGS.write_inference_graph)
File "/home/gqw/anaconda3/envs/tensorflow/lib/python3.6/site-packages/tensorflow/models-master/research/object_detection/exporter.py", line 455, in export_inference_graph
write_inference_graph=write_inference_graph)
File "/home/gqw/anaconda3/envs/tensorflow/lib/python3.6/site-packages/tensorflow/models-master/research/object_detection/exporter.py", line 384, in _export_inference_graph
trained_checkpoint_prefix=checkpoint_to_use)
File "/home/gqw/anaconda3/envs/tensorflow/lib/python3.6/site-packages/tensorflow/models-master/research/object_detection/exporter.py", line 291, in write_graph_and_checkpoint
tf.import_graph_def(inference_graph_def, name='')
File "/home/gqw/anaconda3/envs/tensorflow/lib/python3.6/site-packages/tensorflow/python/util/deprecation.py", line 432, in new_func
return func(*args, **kwargs)
File "/home/gqw/anaconda3/envs/tensorflow/lib/python3.6/site-packages/tensorflow/python/framework/importer.py", line 442, in import_graph_def
_ProcessNewOps(graph)
File "/home/gqw/anaconda3/envs/tensorflow/lib/python3.6/site-packages/tensorflow/python/framework/importer.py", line 234, in _ProcessNewOps
for new_op in graph._add_new_tf_operations(compute_devices=False): # pylint: disable=protected-access
File "/home/gqw/anaconda3/envs/tensorflow/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 3563, in _add_new_tf_operations
for c_op in c_api_util.new_tf_operations(self)
File "/home/gqw/anaconda3/envs/tensorflow/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 3563, in <listcomp>
for c_op in c_api_util.new_tf_operations(self)
File "/home/gqw/anaconda3/envs/tensorflow/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 3450, in _create_op_from_tf_operation
ret = Operation(c_op, self)
File "/home/gqw/anaconda3/envs/tensorflow/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 1740, in __init__
self._traceback = self._graph._extract_stack() # pylint: disable=protected-access
InvalidArgumentError (see above for traceback): Unsuccessful TensorSliceReader constructor: Failed to get matching files on =/media/gqw/Sduty/Linux_tensorflow/widerface/resnet50v1-fpn/model.ckpt-49258: Not found: =/media/gqw/Sduty/Linux_tensorflow/widerface/resnet50v1-fpn; No such file or directory
[[Node: save/RestoreV2 = RestoreV2[dtypes=[DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, ..., DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_INT64], _device="/job:localhost/replica:0/task:0/device:CPU:0"](_arg_save/Const_0_0, save/RestoreV2/tensor_names, save/RestoreV2/shape_and_slices)]]
标签：文件,resnet,50,pb,v1,ckpt,params,FeatureExtractor,unit 来源： https://blog.csdn.net/qq_30336973/article/details/110911961