Sample tacotron config

recipes/tacotron2/train_tacotron2_lj.yml

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+#### general settings
+name: train_tacotron2_lj
+use_tb_logger: true
+gpu_ids: [0]
+start_step: -1
+fp16: false
+checkpointing_enabled: true
+wandb: false
+
+datasets:
+  train:
+    name: lj
+    n_workers: 1
+    batch_size: 72
+    mode: nv_tacotron
+    path: E:\4k6k\datasets\audio\LJSpeech-1.1\ljs_audio_text_train_filelist.txt
+
+networks:
+  mel_gen:
+    type: generator
+    which_model_G: nv_tacotron2
+    args:
+      encoder_kernel_size: 5
+      encoder_n_convolutions: 3
+      encoder_embedding_dim: 512
+      decoder_rnn_dim: 1024
+      prenet_dim: 256
+      max_decoder_steps: 1000
+      attention_rnn_dim: 1024
+      attention_dim: 128
+      attention_location_n_filters: 32
+      attention_location_kernel_size: 31
+      postnet_embedding_dim: 512
+      postnet_kernel_size: 5
+      postnet_n_convolutions: 5
+
+#### path
+path:
+  #pretrain_model_generator: ../experiments/diffusion_unet_128_imageset_22000.pt
+  strict_load: true
+  #resume_state: ../experiments/train_imgset_unet_diffusion/training_state/54000.state
+
+steps:        
+  generator:
+    training: mel_gen
+
+    optimizer: adamw
+    optimizer_params:
+      lr: !!float 1.2e-3
+      weight_decay: !!float 1e-6
+      beta1: 0.9
+      beta2: 0.9999
+    clip_grad_eps: 1.0
+
+    injectors:
+      mel:
+        type: generator
+        generator: mel_gen
+        in: [padded_text, input_lengths, padded_mel, output_lengths]
+        out: [mel_outputs, mel_outputs_postnet, gate_outputs, alignments]
+    losses:
+      tacotron_loss:
+        type: nv_tacotron2_loss
+        weight: 1
+        mel_target_key: padded_mel
+        mel_output_key: mel_outputs
+        mel_output_postnet_key: mel_outputs_postnet
+        gate_target_key: padded_gate
+        gate_output_key: gate_outputs
+
+train:
+  niter: 500000
+  warmup_iter: -1
+  mega_batch_factor: 3
+  ema_rate: .999
+  val_freq: 500
+
+  default_lr_scheme: MultiStepLR
+  gen_lr_steps: [ 50000, 100000, 150000 ]
+  lr_gamma: 0.5
+
+eval:
+  evaluators:
+    val:
+      type: mel
+      for: mel_gen
+      batch_size: 16
+      dataset:
+        mode: nv_tacotron
+        path: E:\4k6k\datasets\audio\LJSpeech-1.1\ljs_audio_text_val_filelist.txt
+
+
+logger:
+  print_freq: 30
+  save_checkpoint_freq: 500
+  visuals: [mel_outputs, padded_mel]
+  is_mel_spectrogram: true
+  visual_debug_rate: 100