update vits ckpt, test=tts

examples/csmsc/vits/README.md

@@ -154,7 +154,7 @@ VITS checkpoint contains files listed below.
 vits_csmsc_ckpt_1.1.0
 ├── default.yaml              # default config used to train vitx
 ├── phone_id_map.txt          # phone vocabulary file when training vits
-└── snapshot_iter_350000.pdz  # model parameters and optimizer states
+└── snapshot_iter_333000.pdz  # model parameters and optimizer states
 ```
 
 ps: This ckpt is not good enough, a better result is training
@@ -169,7 +169,7 @@ FLAGS_allocator_strategy=naive_best_fit \
 FLAGS_fraction_of_gpu_memory_to_use=0.01 \
 python3 ${BIN_DIR}/synthesize_e2e.py \
     --config=vits_csmsc_ckpt_1.1.0/default.yaml \
-    --ckpt=vits_csmsc_ckpt_1.1.0/snapshot_iter_350000.pdz \
+    --ckpt=vits_csmsc_ckpt_1.1.0/snapshot_iter_333000.pdz \
     --phones_dict=vits_csmsc_ckpt_1.1.0/phone_id_map.txt \
     --output_dir=exp/default/test_e2e \
     --text=${BIN_DIR}/../sentences.txt \

examples/csmsc/vits/conf/default.yaml

@@ -179,7 +179,7 @@ generator_first: False # whether to start updating generator first
 #                OTHER TRAINING SETTING                  #
 ##########################################################
 num_snapshots: 10            # max number of snapshots to keep while training
-train_max_steps: 250000      # Number of training steps. == total_iters / ngpus, total_iters = 1000000
+train_max_steps: 350000      # Number of training steps. == total_iters / ngpus, total_iters = 1000000
 save_interval_steps: 1000    # Interval steps to save checkpoint.
 eval_interval_steps: 250     # Interval steps to evaluate the network.
 seed: 777                    # random seed number