zhengge

``` def get_dataset(config, model): if config['dataset']['type'] == 'vctk+demand': return datasets.VCTKAndDEMANDDataset(config, model).load_dataset() elif config['dataset']['type'] == 'nsdtsea': return datasets.NSDTSEADataset(config, model).load_dataset() ``` I can not find the the class of VCTKAndDEMANDDataset(). Thanks.

Batchnorm parameter

1

``` local function convBlock(numIn, numOut, order) local cnet = nn.Sequential() :add(batchnorm(numIn,1e-5,false)) :add(relu(true)) :add(conv(numIn,numOut/2,3,3,1,1,1,1):noBias()) :add(nn.ConcatTable() :add(nn.Identity()) :add(nn.Sequential() :add(nn.Sequential() :add(batchnorm(numOut/2,1e-5,false)) :add(relu(true)) :add(conv(numOut/2,numOut/4,3,3,1,1,1,1):noBias()) ) ``` batchnorm(numIn,1e-5,false) Dose this statement want to set affine...

error: command '/usr/local/cuda/bin/nvcc' failed with exit status 1

3

- OS: ubuntu 16.04.10 - PyTorch version: 1.0.1 - How you installed PyTorch (conda, pip, source): conda - Python version: 3.6.4 - CUDA version: 9.0.176 - GCC version (if compiling...

It does not seem to use the mixed objective optimization？

4

In train_val.prototxt， I do not find the mixed objective optimization. ``` layer { name: "euclidean-loss" type: "EuclideanLoss" bottom: "moon-fc" bottom: "labels" top: "loss" } ``` Could you explain it? Thanks.