# This file was created by the command:# steps/nnet3/xconfig_to_configs.py --xconfig-file exp/chain/tdnn_1d_sp/configs/network.xconfig --config-dir exp/chain/tdnn_1d_sp/configs/# It is a copy of the source from which the config files in # this directory were generated.input dim=100 name=ivectorinput dim=43 name=input# please note that it is important to have input layer with the name=input# as the layer immediately preceding the fixed-affine-layer to enable# the use of short notation for the descriptorfixed-affine-layer name=lda input=Append(-1,0,1,ReplaceIndex(ivector, t, 0)) affine-transform-file=exp/chain/tdnn_1d_sp/configs/lda.mat# the first splicing is moved before the lda layer, so no splicing hererelu-batchnorm-dropout-layer name=tdnn1 l2-regularize=0.01 dropout-proportion=0.0 dropout-per-dim=true dropout-per-dim-continuous=true dim=1536tdnnf-layer name=tdnnf2 l2-regularize=0.01 dropout-proportion=0.0 bypass-scale=0.66 dim=1536 bottleneck-dim=160 time-stride=1tdnnf-layer name=tdnnf3 l2-regularize=0.01 dropout-proportion=0.0 bypass-scale=0.66 dim=1536 bottleneck-dim=160 time-stride=1tdnnf-layer name=tdnnf4 l2-regularize=0.01 dropout-proportion=0.0 bypass-scale=0.66 dim=1536 bottleneck-dim=160 time-stride=1tdnnf-layer name=tdnnf5 l2-regularize=0.01 dropout-proportion=0.0 bypass-scale=0.66 dim=1536 bottleneck-dim=160 time-stride=0tdnnf-layer name=tdnnf6 l2-regularize=0.01 dropout-proportion=0.0 bypass-scale=0.66 dim=1536 bottleneck-dim=160 time-stride=3tdnnf-layer name=tdnnf7 l2-regularize=0.01 dropout-proportion=0.0 bypass-scale=0.66 dim=1536 bottleneck-dim=160 time-stride=3tdnnf-layer name=tdnnf8 l2-regularize=0.01 dropout-proportion=0.0 bypass-scale=0.66 dim=1536 bottleneck-dim=160 time-stride=3tdnnf-layer name=tdnnf9 l2-regularize=0.01 dropout-proportion=0.0 bypass-scale=0.66 dim=1536 bottleneck-dim=160 time-stride=3tdnnf-layer name=tdnnf10 l2-regularize=0.01 dropout-proportion=0.0 bypass-scale=0.66 dim=1536 bottleneck-dim=160 time-stride=3tdnnf-layer name=tdnnf11 l2-regularize=0.01 dropout-proportion=0.0 bypass-scale=0.66 dim=1536 bottleneck-dim=160 time-stride=3tdnnf-layer name=tdnnf12 l2-regularize=0.01 dropout-proportion=0.0 bypass-scale=0.66 dim=1536 bottleneck-dim=160 time-stride=3tdnnf-layer name=tdnnf13 l2-regularize=0.01 dropout-proportion=0.0 bypass-scale=0.66 dim=1536 bottleneck-dim=160 time-stride=3tdnnf-layer name=tdnnf14 l2-regularize=0.01 dropout-proportion=0.0 bypass-scale=0.66 dim=1536 bottleneck-dim=160 time-stride=3tdnnf-layer name=tdnnf15 l2-regularize=0.01 dropout-proportion=0.0 bypass-scale=0.66 dim=1536 bottleneck-dim=160 time-stride=3linear-component name=prefinal-l dim=256 l2-regularize=0.01 orthonormal-constraint=-1.0prefinal-layer name=prefinal-chain input=prefinal-l l2-regularize=0.01 big-dim=1536 small-dim=256output-layer name=output include-log-softmax=false dim=5689 l2-regularize=0.002prefinal-layer name=prefinal-xent input=prefinal-l l2-regularize=0.01 big-dim=1536 small-dim=256output-layer name=output-xent dim=5689 learning-rate-factor=5.0 l2-regularize=0.002