Error training inceptionv3

[ssdevel]

Hi, i want to train the inceptionv3 network. I use the following command:

python train.py --network inceptionv3 --prefix final\inception\new\ssd --finetune 1 --end-epoch 400 --num-class 1 --class-names billboard --data-shape 512 --num-example 2340 --batch-size 4 --train-path records\final_30_train.rec --val-path records\final_30_val.rec

also i tried with adding the pretrained parameter. I renamed the files but i got this error:

Traceback (most recent call last):
File "train.py", line 149, in
tensorboard=args.tensorboard)
File "C:\Users\stefa\Desktop\mxnet-ssd-master\train\train_net.py", line 256, in train_net
exe = net.simple_bind(mx.cpu(), data=(1, 3, data_shape[0], data_shape[1]), label=(1, 1, 5), grad_req='null')
File "C:\Users\stefa\Anaconda2\lib\site-packages\mxnet\symbol\symbol.py", line 1519, in simple_bind
raise RuntimeError(error_msg)
RuntimeError: simple_bind error. Arguments:
data: (1, 3, 3, 512)
label: (1, 1, 5)
Error in operator conv_1_conv2d: [14:17:19] c:\jenkins\workspace\mxnet-tag\mxnet\src\operator\nn\convolution.cc:191: Check failed: dilated_ksize_y <= AddPad(dshape[2], param_.pad[0]) (3 vs. 1) kernel size exceed input

When i run this command:
python train.py --network inceptionv3 --prefix final\inception\ssd_inceptionv3_512 --begin-epoch 215 --end-epoch 400 --num-class 1 --class-names billboard --data-shape 512 --num-example 2340 --batch-size 4 --train-path records\final_30_train.rec --val-path records\final_30_val.rec --pretrained final\inception\ssd_inceptionv3_512

I got this error:
Traceback (most recent call last):
File "train.py", line 149, in
tensorboard=args.tensorboard)
File "C:\Users\stefa\Desktop\mxnet-ssd-master\train\train_net.py", line 355, in train_net
monitor=monitor)
File "C:\Users\stefa\Anaconda2\lib\site-packages\mxnet\module\base_module.py", line 488, in fit
allow_missing=allow_missing, force_init=force_init)
File "C:\Users\stefa\Anaconda2\lib\site-packages\mxnet\module\module.py", line 309, in init_params
_impl(desc, arr, arg_params)
File "C:\Users\stefa\Anaconda2\lib\site-packages\mxnet\module\module.py", line 297, in _impl
cache_arr.copyto(arr)
File "C:\Users\stefa\Anaconda2\lib\site-packages\mxnet\ndarray\ndarray.py", line 1970, in copyto
return _internal._copyto(self, out=other)
File "", line 25, in _copyto
File "C:\Users\stefa\Anaconda2\lib\site-packages\mxnet_ctypes\ndarray.py", line 92, in _imperative_invoke
ctypes.byref(out_stypes)))
File "C:\Users\stefa\Anaconda2\lib\site-packages\mxnet\base.py", line 149, in check_call
raise MXNetError(py_str(_LIB.MXGetLastError()))
mxnet.base.MXNetError: [14:27:05] c:\jenkins\workspace\mxnet-tag\mxnet\src\operator\elemwise_op_common.h:123: Check failed: assign(&dattr, (*vec)[i]) Incompatible attr in node at 0-th output: expected [126], got [12]

When i use this comand:

python train.py --network inceptionv3 --prefix final\inception\ssd_inceptionv3_512 --begin-epoch 215 --end-epoch 400 --num-class 1 --class-names billboard --data-shape 512 --num-example 2340 --batch-size 4 --train-path records\final_30_train.rec --val-path records\final_30_val.rec

the model does not converge.

Can you help me?

Thanks

[ssdevel]

I solved this issue

[NewbYang]

I solved this issue

can you help me to solve the same problem??

[liuzhenhui]

can you tell me the reason? I got the same wrong .like this :

RuntimeError: simple_bind error. Arguments:
label: (40, 11, 6)
data: (40, 3, 160, 48)
Error in operator broadcast_mul0: [13:59:59] src/operator/tensor/./elemwise_binary_broadcast_op.h:68: Check failed: l == 1 || r == 1 operands could not be broadcast together with shapes [40,64,20,6] [40,64,21,7]

thank you ~
my email: [email protected]

[ssdevel]

I used this command and was working:
python train.py --network inceptionv3 --prefix --begin-epoch 1 --end-epoch 200 --num-example 1 --class-names --data-shape 512 --num-example --batch-size --train-path --val-path