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demo / model_zoo / resnet #194
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Hi, @huangpingchun please note the ResNet model document: http://www.paddlepaddle.org/doc/demo/imagenet_model/resnet_model.html "Note, since the convolution layer in these ResNet models is suitable for the cudnn implementation which only support GPU. It not support CPU mode because of compatibility issue and we will fix later." So please use GPU to test. |
ok, thank you, I recently noticed mxnet pre-training model resnet must also be run on the GPU . |
add check_cuda for ERNIE
* fix(IpuBackend): T#3263, fix core dump problem [M2] 1. add workaround for unittest (_del__ not triggered)
* Optimize the tokenizer for unified_transformer. * Optimize the generation_utils and docs. * Fixed bugs. * Fixed bugs. * Add DuConv dataset and example for UnifiedTransformer. * Optimize utils and add readme. * Fixed bug. * Add some comments. * Modify readme. * Modify readme. * fixed bugs. * Optimize tokenizer
* fix doc errors
…, support batch alignment between multiple cards (PaddlePaddle#194)
…, support batch alignment between multiple cards (PaddlePaddle#194)
* add dump_walk_path (#193) * add dump_walk_path; test=develop * add dump_walk_path; test=develop * add dump_walk_path; test=develop * Add multiple CPU communication, parameter query and merging functions, support batch alignment between multiple cards (#194) * compatible with edge_type of src2dst and src2etype2dst (#195) * do not merge_feature_shard when using metapath_split_opt (#198) * support only load reverse_edge (#199) * refactor GraphTable (#201) * fix * fix * fix code style * fix code style * fix test_dataset * fix hogwild worker * fix code style * fix code style * fix code style * fix code style * fix code style. * fix code style. --------- Co-authored-by: danleifeng <52735331+danleifeng@users.noreply.github.com> Co-authored-by: qingshui <qshuihu@gmail.com> Co-authored-by: Webbley <liwb5@foxmail.com> Co-authored-by: huwei02 <53012141+huwei02@users.noreply.github.com>
Use official website provides resnet pre-trained model predicted pictures are of the same label
![2016-10-12 14 25 55](https://cloud.githubusercontent.com/assets/12268414/19299643/3610b558-9088-11e6-9328-2a81f4f348ca.png)
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