Open JBoRu opened 4 years ago
您好,请问您用cpu跑通了吗,我有几个问题想请教您。 Hello, can you run through with cpu? I have a few questions to ask you.
您好,请问您用cpu跑通了吗,我有几个问题想请教您。 Hello, can you run through with cpu? I have a few questions to ask you.
您好,我已经用GPU跑通了,没有尝试CPU
请问您用的python2还是python3的代码 我把Python2改成2python3,跑出来训练集loss=0,但是验证集却正常 2020-07-31 17:36:33,927 INFO [Train] loss: 0.0000, [Sentiment] loss: 0.0000, [Domain] loss: 0.0000, [Sentiment] acc: 0.0000, [Domain] acc: 0.0000, 2020-07-31 17:38:20,377 INFO [Validation] loss: 0.5878, [Sentiment] loss: 0.5649, [Domain] loss: 0.0229, [Sentiment] acc: 0.7527, [Domain] acc: 0.9927, 不知道怎么回事? 请问您有没有遇到这个问题?
在 2020-07-28 13:25:33,"JBoRu" notifications@github.com 写道:
您好,请问您用cpu跑通了吗,我有几个问题想请教您。 Hello, can you run through with cpu? I have a few questions to ask you.
您好,我已经用GPU跑通了,没有尝试CPU
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请问您用的python2还是python3的代码 我把Python2改成2python3,跑出来训练集loss=0,但是验证集却正常 2020-07-31 17:36:33,927 INFO [Train] loss: 0.0000, [Sentiment] loss: 0.0000, [Domain] loss: 0.0000, [Sentiment] acc: 0.0000, [Domain] acc: 0.0000, 2020-07-31 17:38:20,377 INFO [Validation] loss: 0.5878, [Sentiment] loss: 0.5649, [Domain] loss: 0.0229, [Sentiment] acc: 0.7527, [Domain] acc: 0.9927, 不知道怎么回事? 请问您有没有遇到这个问题? 在 2020-07-28 13:25:33,"JBoRu" notifications@github.com 写道: 您好,请问您用cpu跑通了吗,我有几个问题想请教您。 Hello, can you run through with cpu? I have a few questions to ask you. 您好,我已经用GPU跑通了,没有尝试CPU — You are receiving this because you commented. Reply to this email directly, view it on GitHub, or unsubscribe.
请问您用python3怎么跑通的,我用python3.7一直遇到各种版本不兼容的问题,能请问一下分别是用的什么版本吗,这是我的邮箱1437066318@qq.com,谢谢!
Hello, when i use the command-- "CUDA_VISIBLE_DEVICES=0 python train.py --domain res_15" to run the process. First,it occurs the warning-- "UserWarning: Converting sparse IndexedSlices to a dense Tensor of unknown shape. This may consume a large amount of memory. "Converting sparse IndexedSlices to a dense Tensor of unknown shape. " " and then, i find it's training very slowly. And then , i find i not use the GPU, so, can you give me a solution? Thank you very much! Device: ubuntu16 TF2.0 python3.7