做tensorflow object detection 中，清空下checkpoint就可以啦
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InvalidArgumentError (see above for traceback): Assign requires shapes of both tensors to match. lhs shape = [12288] rhs shape = [49152]
卷积层后连接LSTM层的报错（InvalidArgumentError (see above for traceback): Incompatible shapes: [128] vs. [384]）
显存不够----ResourceExhaustedError (see above for traceback): OOM when allocating tensor with shape[4096]
Invalid shape (3, 1024, 2048) for image data
tensorflow ResourceExhaustedError (see above for traceback): OOM when allocating tensor with shape[256,256,15,15] and type float on 报错（显存不够报错）
错误：基于tensorflow识别mnist数据集出现ResourceExhaustedError (see above for traceback): OOM when allocating tensor with shape[10000,32,28,28] and type float on
InvalidArgumentError (see above for traceback): You must feed a value for placeholder tensor 'Y' with dtype float
InvalidArgumentError: ConcatOp : Dimensions of inputs should match: shape[0] = [1,136,240,64] vs. shape[1] = [1,135,240,64]
【error】OutOfRangeError (see above for traceback): RandomShuffleQueue
LHS和RHS理解