tensorflow-yolov3
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Frozen model crashed when using TF1.14
After I train and freeze the model, I got this error when do inference:
Traceback (most recent call last):
File "/opt/env/lib/python3.5/site-packages/tensorflow/python/framework/importer.py", line 426, in import_graph_def
graph._c_graph, serialized, options) # pylint: disable=protected-access
tensorflow.python.framework.errors_impl.InvalidArgumentError: NodeDef mentions attr 'explicit_paddings' not in Op<name=Conv2D; signature=input:T, filter:T -> output:T; attr=T:type,allowed=[DT_HALF, DT_BFLOAT16, DT_FLOAT, DT_DOUBLE]; attr=strides:list(int); attr=use_cudnn_on_gpu:bool,default=true; attr=padding:string,allowed=["SAME", "VALID"]; attr=data_format:string,default="NHWC",allowed=["NHWC", "NCHW"]; attr=dilations:list(int),default=[1, 1, 1, 1]>; NodeDef: {{node import/darknet/conv0/Conv2D}}. (Check whether your GraphDef-interpreting binary is up to date with your GraphDef-generating binary.).
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/opt/env/lib/python3.5/site-packages/tensorflow/python/util/deprecation.py", line 507, in new_func
return func(*args, **kwargs)
File "/opt/env/lib/python3.5/site-packages/tensorflow/python/framework/importer.py", line 430, in import_graph_def
raise ValueError(str(e))
ValueError: NodeDef mentions attr 'explicit_paddings' not in Op<name=Conv2D; signature=input:T, filter:T -> output:T; attr=T:type,allowed=[DT_HALF, DT_BFLOAT16, DT_FLOAT, DT_DOUBLE]; attr=strides:list(int); attr=use_cudnn_on_gpu:bool,default=true; attr=padding:string,allowed=["SAME", "VALID"]; attr=data_format:string,default="NHWC",allowed=["NHWC", "NCHW"]; attr=dilations:list(int),default=[1, 1, 1, 1]>; NodeDef: {{node import/darknet/conv0/Conv2D}}. (Check whether your GraphDef-interpreting binary is up to date with your GraphDef-generating binary.).
Anyone see this error before? It works with 1.13.1 with no problem.
Hi @yuanzhedong. Have you solved this problem?