Closed MirrorYuChen closed 4 years ago
the details of error informations is below:
{19-10-02 11:56}mirror:~/MNN/tools/converter/build@master✗✗✗✗✗✗ mirror% ./MNN Convert -f TF --modelFile keypoints.pb --MNNModel xxx.mnn --bizCode biz MNNConverter Version: 0.0.0.1 - MNN @ 2018
Start to Convert Other Model Format To MNN Model... terminate called after throwing an instance of 'Error' what(): [11:57:21] /home/mirror/MNN/tools/converter/source/tensorflow/TmpG raph.cpp:316: Check failed: inputNode->opType == "Const" ==> FusedBatchNorm|SpaceToBatchND Lack Const Tensor[1] 10624 abort (core dumped) ./MNNConvert -f TF --modelFile keypoints.pb --MNNModel xxx.mnn --bizCode biz
I found there is an similar issues in MNN project: alibaba/MNN#358
如果使用了bn,生成pb时将bn层training参数设为False; 如果使用了dilation conv,需要固定输入图像大小,然后重新生成pb。
I wanna to kown how to set these layers, can you give me some advice ?
You should rebuild the graph with bn training flag as False. rebuild the graph with the bn layer as False, load the trained params, and save it.
You mean set flag: use_batch_norm to false?
You mean set flag: use_batch_norm to false?
In tensorflow, a placeholder was used to control the bn layer, so when inference a bool value should be fed.
e.g. is_training=training in below codes net, end_points=shufflenet_v2(images,is_training=training,depth_multiplier='1.0')
The converter of some inference framworks, including tflite, the flag shoule be set as a constant other than a placeholder.
Thank you very much, I will have a try~
the details of error informations is below:
{19-10-02 11:56}mirror:~/MNN/tools/converter/build@master✗✗✗✗✗✗ mirror% ./MNN Convert -f TF --modelFile keypoints.pb --MNNModel xxx.mnn --bizCode biz MNNConverter Version: 0.0.0.1 - MNN @ 2018
Start to Convert Other Model Format To MNN Model... terminate called after throwing an instance of 'Error' what(): [11:57:21] /home/mirror/MNN/tools/converter/source/tensorflow/TmpG raph.cpp:316: Check failed: inputNode->opType == "Const" ==> FusedBatchNorm|SpaceToBatchND Lack Const Tensor[1] 10624 abort (core dumped) ./MNNConvert -f TF --modelFile keypoints.pb --MNNModel xxx.mnn --bizCode biz
I found there is an similar issues in MNN project: https://github.com/alibaba/MNN/issues/358
如果使用了bn,生成pb时将bn层training参数设为False; 如果使用了dilation conv,需要固定输入图像大小,然后重新生成pb。
I wanna to kown how to set these layers, can you give me some advice ?