知识驱动对话基线复现出错
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语言与智能技术竞赛 问答其他 1807 8
知识驱动对话基线复现出错
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语言与智能技术竞赛 问答其他 1807 8

stage 0
Traceback (most recent call last):
File "network.py", line 529, in
train(config)
File "network.py", line 480, in train
optimizer.minimize(bow_loss)
File "", line 2, in minimize
File "/opt/conda/envs/python27-paddle120-env/lib/python2.7/site-packages/paddle/fluid/wrapped_decorator.py", line 25, in __impl__
return wrapped_func(*args, **kwargs)
File "/opt/conda/envs/python27-paddle120-env/lib/python2.7/site-packages/paddle/fluid/dygraph/base.py", line 87, in __impl__
return func(*args, **kwargs)
File "/opt/conda/envs/python27-paddle120-env/lib/python2.7/site-packages/paddle/fluid/optimizer.py", line 594, in minimize
no_grad_set=no_grad_set)
File "/opt/conda/envs/python27-paddle120-env/lib/python2.7/site-packages/paddle/fluid/optimizer.py", line 493, in backward
no_grad_set, callbacks)
File "/opt/conda/envs/python27-paddle120-env/lib/python2.7/site-packages/paddle/fluid/backward.py", line 578, in append_backward
_append_backward_vars_(root_block, fwd_op_num, grad_to_var, grad_info_map)
File "/opt/conda/envs/python27-paddle120-env/lib/python2.7/site-packages/paddle/fluid/backward.py", line 392, in _append_backward_vars_
op_desc.infer_shape(block.desc)
paddle.fluid.core_avx.EnforceNotMet: Enforce failed. Expected x_dims[i] * expand_times[i] == out_dims[i], but received x_dims[i] * expand_times[i]:-500 != out_dims[i]:-1.
Each dimension size of Input(Out@GRAD) should be equal to multiplication of crroresponding dimension size of Input(X) and Attr(expand_times) value. at [/paddle/paddle/fluid/operators/expand_op.cc:153]
PaddlePaddle Call Stacks:
0 0x7f4eab69dff8p void paddle::platform::EnforceNotMet::Init(std::string, char const*, int) + 360
1 0x7f4eab69e347p paddle::platform::EnforceNotMet::EnforceNotMet(std::string const&, char const*, int) + 87
2 0x7f4eabff5a21p paddle::operators::ExpandGradOp::InferShape(paddle::framework::InferShapeContext*) const + 1425
3 0x7f4eab81188ep paddle::framework::OpDesc::InferShape(paddle::framework::BlockDesc const&) const + 862
4 0x7f4eab749d4cp
5 0x7f4eab6d0936p
6 0x7f4f0c3dd1a7p PyEval_EvalFrameEx + 28695
7 0x7f4f0c3df6c9p PyEval_EvalCodeEx + 2025
8 0x7f4f0c3dcb98p PyEval_EvalFrameEx + 27144
9 0x7f4f0c3df6c9p PyEval_EvalCodeEx + 2025
10 0x7f4f0c3dcb98p PyEval_EvalFrameEx + 27144
11 0x7f4f0c3df6c9p PyEval_EvalCodeEx + 2025
12 0x7f4f0c3dcb98p PyEval_EvalFrameEx + 27144
13 0x7f4f0c3df6c9p PyEval_EvalCodeEx + 2025
14 0x7f4f0c368567p
15 0x7f4f0c343973p PyObject_Call + 67
16 0x7f4f0c3d869ep PyEval_EvalFrameEx + 9486
17 0x7f4f0c3df6c9p PyEval_EvalCodeEx + 2025
18 0x7f4f0c368567p
19 0x7f4f0c343973p PyObject_Call + 67
20 0x7f4f0c3d869ep PyEval_EvalFrameEx + 9486
21 0x7f4f0c3df6c9p PyEval_EvalCodeEx + 2025
22 0x7f4f0c3dcb98p PyEval_EvalFrameEx + 27144
23 0x7f4f0c3df6c9p PyEval_EvalCodeEx + 2025
24 0x7f4f0c3dcb98p PyEval_EvalFrameEx + 27144
25 0x7f4f0c3de17ep PyEval_EvalFrameEx + 32750
26 0x7f4f0c3df6c9p PyEval_EvalCodeEx + 2025
27 0x7f4f0c3df8eap PyEval_EvalCode + 26
28 0x7f4f0c3f8a6dp
29 0x7f4f0c3f9be8p PyRun_FileExFlags + 120
30 0x7f4f0c3fae08p PyRun_SimpleFileExFlags + 232
31 0x7f4f0c40d01cp Py_Main + 2972
32 0x7f4f0b5dd830p __libc_start_main + 240
33 0x5618705a907fp

stage 1
Traceback (most recent call last):
File "network.py", line 529, in
train(config)
File "network.py", line 483, in train
optimizer.minimize(final_loss)
File "", line 2, in minimize
File "/opt/conda/envs/python27-paddle120-env/lib/python2.7/site-packages/paddle/fluid/wrapped_decorator.py", line 25, in __impl__
return wrapped_func(*args, **kwargs)
File "/opt/conda/envs/python27-paddle120-env/lib/python2.7/site-packages/paddle/fluid/dygraph/base.py", line 87, in __impl__
return func(*args, **kwargs)
File "/opt/conda/envs/python27-paddle120-env/lib/python2.7/site-packages/paddle/fluid/optimizer.py", line 594, in minimize
no_grad_set=no_grad_set)
File "/opt/conda/envs/python27-paddle120-env/lib/python2.7/site-packages/paddle/fluid/optimizer.py", line 493, in backward
no_grad_set, callbacks)
File "/opt/conda/envs/python27-paddle120-env/lib/python2.7/site-packages/paddle/fluid/backward.py", line 578, in append_backward
_append_backward_vars_(root_block, fwd_op_num, grad_to_var, grad_info_map)
File "/opt/conda/envs/python27-paddle120-env/lib/python2.7/site-packages/paddle/fluid/backward.py", line 392, in _append_backward_vars_
op_desc.infer_shape(block.desc)
paddle.fluid.core_avx.EnforceNotMet: Enforce failed. Expected x_dims[i] * expand_times[i] == out_dims[i], but received x_dims[i] * expand_times[i]:-500 != out_dims[i]:-1.
Each dimension size of Input(Out@GRAD) should be equal to multiplication of crroresponding dimension size of Input(X) and Attr(expand_times) value. at [/paddle/paddle/fluid/operators/expand_op.cc:153]
PaddlePaddle Call Stacks:
0 0x7fb40ca63ff8p void paddle::platform::EnforceNotMet::Init(std::string, char const*, int) + 360
1 0x7fb40ca64347p paddle::platform::EnforceNotMet::EnforceNotMet(std::string const&, char const*, int) + 87
2 0x7fb40d3bba21p paddle::operators::ExpandGradOp::InferShape(paddle::framework::InferShapeContext*) const + 1425
3 0x7fb40cbd788ep paddle::framework::OpDesc::InferShape(paddle::framework::BlockDesc const&) const + 862
4 0x7fb40cb0fd4cp
5 0x7fb40ca96936p
6 0x7fb46d7a31a7p PyEval_EvalFrameEx + 28695
7 0x7fb46d7a56c9p PyEval_EvalCodeEx + 2025
8 0x7fb46d7a2b98p PyEval_EvalFrameEx + 27144
9 0x7fb46d7a56c9p PyEval_EvalCodeEx + 2025
10 0x7fb46d7a2b98p PyEval_EvalFrameEx + 27144
11 0x7fb46d7a56c9p PyEval_EvalCodeEx + 2025
12 0x7fb46d7a2b98p PyEval_EvalFrameEx + 27144
13 0x7fb46d7a56c9p PyEval_EvalCodeEx + 2025
14 0x7fb46d72e567p
15 0x7fb46d709973p PyObject_Call + 67
16 0x7fb46d79e69ep PyEval_EvalFrameEx + 9486
17 0x7fb46d7a56c9p PyEval_EvalCodeEx + 2025
18 0x7fb46d72e567p
19 0x7fb46d709973p PyObject_Call + 67
20 0x7fb46d79e69ep PyEval_EvalFrameEx + 9486
21 0x7fb46d7a56c9p PyEval_EvalCodeEx + 2025
22 0x7fb46d7a2b98p PyEval_EvalFrameEx + 27144
23 0x7fb46d7a56c9p PyEval_EvalCodeEx + 2025
24 0x7fb46d7a2b98p PyEval_EvalFrameEx + 27144
25 0x7fb46d7a417ep PyEval_EvalFrameEx + 32750
26 0x7fb46d7a56c9p PyEval_EvalCodeEx + 2025
27 0x7fb46d7a58eap PyEval_EvalCode + 26
28 0x7fb46d7bea6dp
29 0x7fb46d7bfbe8p PyRun_FileExFlags + 120
30 0x7fb46d7c0e08p PyRun_SimpleFileExFlags + 232
31 0x7fb46d7d301cp Py_Main + 2972
32 0x7fb46c9a3830p __libc_start_main + 240
33 0x5556d084d07fp

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全部评论(8)
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Seigato
#2 回复于2019-10

设计模型与加载模型没对上,通道数报错,建议查看一下这方便代码是否匹配

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w
wangwei8638
#3 回复于2019-10
Seigato #2
设计模型与加载模型没对上,通道数报错,建议查看一下这方便代码是否匹配

感谢,用的是官方基线和数据集,训练的时候报的错误,难道不匹配?

0
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w
wangwei8638
#4 回复于2019-11

已解决

0
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笃信好学自宽和
#5 回复于2019-12
已解决

我这边也是同样的问题,请问一下你后来怎么解决的

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w
wangwei8638
#6 回复于2019-12
我这边也是同样的问题,请问一下你后来怎么解决的

我是将"network.py"中500改为1,这个问题没有了,但还有别的问题

0
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笃信好学自宽和
#7 回复于2019-12
我是将"network.py"中500改为1,这个问题没有了,但还有别的问题

/笑哭 谢谢 只要思想不滑坡 方法总比困难多 

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w
wangwei8638
#8 回复于2019-12
/笑哭 谢谢 只要思想不滑坡 方法总比困难多 

基线需要调试,还是没跑通

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l
luckyToMe2
#9 回复于2020-01

感谢分享

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