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不管数据量有多大,显存本身24000MB 多 占用了23000MB多(并且这个数量不变),请问这是怎么回事啊? 用了各种方式都不管用:1、tf.data.TFRecordDataset.cache(),2、tf.data.TFRecordDataset.shard,3、把tf_record 分成多份读取,4、epoch 和batch_size 分别改成 1和16, 最后只能用 session_config.gpu_options.per_process_gpu_memory_fraction @macanv 求大佬指点!
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俺也一样
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请问你验证用了多久?
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不管数据量有多大,显存本身24000MB 多 占用了23000MB多(并且这个数量不变),请问这是怎么回事啊?
用了各种方式都不管用:1、tf.data.TFRecordDataset.cache(),2、tf.data.TFRecordDataset.shard,3、把tf_record 分成多份读取,4、epoch 和batch_size 分别改成 1和16,
最后只能用 session_config.gpu_options.per_process_gpu_memory_fraction
@macanv 求大佬指点!
The text was updated successfully, but these errors were encountered: