Tensorflow error : Assign requires shapes of both tensors to match
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When training faster-rcnn model for object detection job (I have used a third-party tensorflow version: https://github.com/endernewton/tf-faster-rcnn)
Met the error :
ERROR MESSAGE
InvalidArgumentError (see above for traceback): Assign requires shapes of both tensors to match. lhs shape= [1000] rhs shape= [1001]
[[Node: save/Assign_8 = Assign[T=DT_FLOAT, _class=["loc:/Conv2d_2b_1x1/biases"], use_locking=true, validate_shape=true, _device="/job:localhost/replica:0/task:0/cpu:0"](InceptionV3/AuxLogits/Conv2d_2b_1x1/biases, save/RestoreV2_8)]]
According to the discussion here :https://github.com/tensorflow/tensorflow/issues/6883
Just delete the previous files in the output folder
error 2：IndexError: list index out of range
error2 解决办法：
删除fast-rcnn-master/data/cache/ 文件夹下的.pkl文件，或者改名备份，重新训练即可
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