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楼主 |
发表于 2019-7-1 09:41:17
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- W verbose file path is invalid, debug info will not dump to file.
- --> config model:
- done!
- --> Loading tensorflow model:
- D import clients finished
- I Current TF Model producer version 0 min consumer version 0 bad consumer version []
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- I Fix merge rnet/cond/Merge branch rnet/cond/Const:out0 with switch_op None
- I Fix merge rnet/cond/Merge_1 branch rnet/cond/Const_1:out0 with switch_op None
- I Fix merge onet/cond/Merge branch onet/cond/Const:out0 with switch_op None
- I Fix merge onet/cond/Merge_1 branch onet/cond/Const_1:out0 with switch_op None
- I Fix merge onet/cond/Merge_2 branch onet/cond/Const_2:out0 with switch_op None
- I Have 0 tensors convert to const tensor
- []
- I build output layer attach_landmarks:out0
- I build output layer attach_prob:out0
- I build output layer attach_box:out0
- I build input layer input_out_0_placeholder:out0
- D Try match Identity landmarks
- I Match identity [['landmarks']] [['Identity']] to [['noop']]
- D Try match Identity prob
- I Match identity [['prob']] [['Identity']] to [['noop']]
- D Try match Identity box
- I Match identity [['box']] [['Identity']] to [['noop']]
- D Try match Const onet/cond/Const_2
- I Match const [['onet/cond/Const_2']] [['C']] to [['variable']]
- D Try match Const onet/cond/Const_1
- I Match const [['onet/cond/Const_1']] [['C']] to [['variable']]
- D Try match Const onet/cond/Const
- I Match const [['onet/cond/Const']] [['C']] to [['variable']]
- D connect onet/cond/Const_2_7 0 ~ landmarks_4 0
- D connect onet/cond/Const_1_8 0 ~ prob_5 0
- D connect onet/cond/Const_9 0 ~ box_6 0
- D connect landmarks_4 0 ~ attach_landmarks/out0_0 0
- D connect prob_5 0 ~ attach_prob/out0_1 0
- D connect box_6 0 ~ attach_box/out0_2 0
- 2019-07-01 09:37:15.277140: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
- 2019-07-01 09:37:15.299464: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2208000000 Hz
- 2019-07-01 09:37:15.300688: I tensorflow/compiler/xla/service/service.cc:150] XLA service 0x1ffb370 executing computations on platform Host. Devices:
- 2019-07-01 09:37:15.300709: I tensorflow/compiler/xla/service/service.cc:158] StreamExecutor device (0): <undefined>, <undefined>
- D Process onet/cond/Const_2_7 ...
- D RKNN output shape(variable): (0 10)
- D Process landmarks_4 ...
- D RKNN output shape(noop): (0 10)
- D Process attach_landmarks/out0_0 ...
- D RKNN output shape(output): (0 10)
- D Process onet/cond/Const_1_8 ...
- D RKNN output shape(variable): (0)
- D Process prob_5 ...
- D RKNN output shape(noop): (0)
- D Process attach_prob/out0_1 ...
- D RKNN output shape(output): (0)
- D Process onet/cond/Const_9 ...
- D RKNN output shape(variable): (0 4)
- D Process box_6 ...
- D RKNN output shape(noop): (0 4)
- D Process attach_box/out0_2 ...
- D RKNN output shape(output): (0 4)
- I Build mtcnn complete.
- D Remove attach_input/out0_3.
- D Remove landmarks_4.
- D Remove prob_5.
- D Remove box_6.
- D Optimizing network with force_1d_tensor, swapper, merge_layer, auto_fill_bn, auto_fill_multiply, merge_avgpool_conv1x1, auto_fill_zero_bias, proposal_opt_import
- D Optimizing network with conv2d_big_kernel_size_transform
- D Optimizing network with auto_fill_tf_quantize, qnt_single_transmit_quantize, align_quantize, broadcast_quantize, qnt_adjust_coef
- --- Logging error ---
- Traceback (most recent call last):
- File "/usr/lib/python3.6/logging/__init__.py", line 996, in emit
- stream.write(msg)
- ValueError: I/O operation on closed file.
- Call stack:
- File "pb-to-rknn.py", line 16, in <module>
- input_size_list = [[498,310,3]]
- File "/home/yaowei/.local/lib/python3.6/site-packages/rknn/api/rknn.py", line 62, in load_tensorflow
- std_values=std_values)
- File "/home/yaowei/.local/lib/python3.6/site-packages/tensorflow/python/util/deprecation.py", line 323, in new_func
- instructions)
- File "/home/yaowei/.local/lib/python3.6/site-packages/tensorflow/python/platform/tf_logging.py", line 166, in warning
- get_logger().warning(msg, *args, **kwargs)
- Message: 'From %s: %s (from %s) is deprecated and will be removed %s.\nInstructions for updating:\n%s'
- Arguments: ('/home/yaowei/.local/lib/python3.6/site-packages/rknn/api/rknn.py:62', 'extract_sub_graph', 'tensorflow.python.framework.graph_util_impl', 'in a future version', 'Use tf.compat.v1.graph_util.extract_sub_graph')
- done
- -->Building model:
- D import clients finished
- I Load net...
- D Load layer attach_landmarks/out0_0 ...
- D Load layer attach_prob/out0_1 ...
- D Load layer attach_box/out0_2 ...
- D Load layer onet/cond/Const_2_7 ...
- D Load layer onet/cond/Const_1_8 ...
- D Load layer onet/cond/Const_9 ...
- I Load net complete...
- E Catch exception when building RKNN model!
- T Traceback (most recent call last):
- T File "rknn/api/rknn_base.py", line 498, in rknn.api.rknn_base.RKNNBase.build
- T File "rknn/api/rknn_base.py", line 1067, in rknn.api.rknn_base.RKNNBase._quantize
- T File "rknn/base/RKNNlib/app/tensorzone/workspace.py", line 221, in rknn.base.RKNNlib.app.tensorzone.workspace.Workspace.load_net
- T File "rknn/base/RKNNlib/app/tensorzone/graph.py", line 125, in rknn.base.RKNNlib.app.tensorzone.graph.Graph.get_input_shape
- T UnboundLocalError: local variable 'in_layer' referenced before assignment
- Build MTCNN failed!
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