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Check failed: startRow + numRows <= getHeight() #1049
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@sdwhwxt 感谢反馈!我不了解这块代码。只是想到如果能把整个错误信息(log messages)都贴出来,可能了解这部分代码的朋友们更容易帮上忙。 |
完整信息只有下面这一行: |
错误复现信息: F0122 08:56:04.545070 17508 Matrix.h:228] Check failed: startRow + numRows <= getHeight() (5708 vs. 5707)
*** Check failure stack trace: ***
@ 0x1475638 google::LogMessage::Fail()
@ 0x1475590 google::LogMessage::SendToLog()
@ 0x1475025 google::LogMessage::Flush()
@ 0x1477de6 google::LogMessageFatal::~LogMessageFatal()
@ 0x780abe paddle::Matrix::subMatrix()
@ 0x663569 paddle::SequenceLastInstanceLayer::forward()
@ 0x70b634 paddle::NeuralNetwork::forward()
@ 0x7015cf paddle::TrainerThread::forward()
@ 0x7027bc paddle::TrainerThread::computeThread()
@ 0x7f19bc2fe8a0 execute_native_thread_routine
@ 0x7f19bcd841c3 start_thread
@ 0x7f19bba6f12d __clone
./train.sh: line 207: 16026 Aborted (core dumped) PYTHONPATH=./paddle:$PYTHONPATH GLOG_logtostderr=0 GLOG_log_dir="./log" ./paddle_trainer --num_gradient_servers=${OMPI_COMM_WORLD_SIZE} --trainer_id=${OMPI_COMM_WORLD_RANK} --pservers=$ipstring --rdma_tcp=${rdma_tcp} --nics=${nics} ${train_arg} --config=conf/trainer_config.conf --save_dir=./${save_dir} ${extern_arg} 网络配置 term_seq_data = data_layer("term_seq", 63736)
med_feat_data = data_layer("med_ent_feat", 7244)
emb_term = embedding_layer(input=term_seq_data, size=128)
bi_lstm_term = bidirectional_lstm(input=emb_term, size=128, concat_act=TanhActivation())
bi_lstm_term_out = fc_layer(input=bi_lstm_term, size=128, act=TanhActivation())
med_hid_layer = fc_layer(input=med_feat_data, size=128, act=SoftReluActivation())
output= fc_layer(input=[bi_lstm_term_out, med_hid_layer], size=4, act=SoftmaxActivation()) |
看起来是比较久远的问题了,我先关闭这个issue,如果用新版本的Paddle还有问题请随时反馈,多谢:) |
zhhsplendid
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Sep 25, 2019
…ePaddle#1049) remove command argument train.py from the document, which is added by mistake.
lizexu123
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Feb 23, 2024
* fix distiller * fix distiller * fix distiller * demo imagenet * demo imagenet
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集群训练执行到第二个pass的时候出错:
Matrix.h:228] Check failed: startRow + numRows <= getHeight();
请教这一般是什么问题? 谢谢
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