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我在用test.py测试时遇到如下错误:
OutOfRangeError (see above for traceback): PaddingFIFOQueue '_2_batch/padding_fifo_queue' is closed and has insufficient elements (requested 1, current size 0)
[[Node: batch = QueueDequeueManyV2[component_types=[DT_STRING, DT_FLOAT, DT_INT32, DT_INT32], timeout_ms=-1, _device="/job:localhost/replica:0/task:0/device:CPU:0"](batch/padding_fifo_queue, batch/n)]]
我觉得是我制作的tfcord数据事用的xml数据出了问题,在转数据时报了如下的错误:
Conversion progress:[>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>]100% 110/110
Conversion is complete!
段错误 (核心已转储)
但是在测试时,数据的读取是随机的,数据量非常大的话去人工找xml文件太耗费时间了,请问有什么办法能将数据的读取改为顺序呢
The text was updated successfully, but these errors were encountered:
我检查过tfrecord存在,但是在训练时出现如下错误:
OutOfRangeError (see above for traceback): PaddingFIFOQueue '_2_get_batch/batch/padding_fifo_queue' is closed and has insufficient elements (requested 1, current size 0)
[[Node: get_batch/batch = QueueDequeueManyV2[component_types=[DT_STRING, DT_FLOAT, DT_INT32, DT_INT32], timeout_ms=-1, _device="/job:localhost/replica:0/task:0/device:CPU:0"](get_batch/batch/padding_fifo_queue, get_batch/batch/n)]] @yangxue0827
我在用test.py测试时遇到如下错误:
OutOfRangeError (see above for traceback): PaddingFIFOQueue '_2_batch/padding_fifo_queue' is closed and has insufficient elements (requested 1, current size 0)
[[Node: batch = QueueDequeueManyV2[component_types=[DT_STRING, DT_FLOAT, DT_INT32, DT_INT32], timeout_ms=-1, _device="/job:localhost/replica:0/task:0/device:CPU:0"](batch/padding_fifo_queue, batch/n)]]
我觉得是我制作的tfcord数据事用的xml数据出了问题,在转数据时报了如下的错误:
Conversion progress:[>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>]100% 110/110
Conversion is complete!
段错误 (核心已转储)
但是在测试时,数据的读取是随机的,数据量非常大的话去人工找xml文件太耗费时间了,请问有什么办法能将数据的读取改为顺序呢
The text was updated successfully, but these errors were encountered: