added keep_best and keep_after to test configs.

tests/inputs/test_glow_tts.json

@@ -106,6 +106,8 @@
     "print_eval": false,     // If True, it prints intermediate loss values in evalulation.
     "save_step": 5000,      // Number of training steps expected to save traninpg stats and checkpoints.
     "checkpoint": true,     // If true, it saves checkpoints per "save_step"
+    "keep_best": true,  // If true, keeps all best_models after keep_after steps
+    "keep_after": 10000,    // Global step after which to keep best models if keep_best is true
     "tb_model_param_stats": false,     // true, plots param stats per layer on tensorboard. Might be memory consuming, but good for debugging.
     "apex_amp_level": null,
 

tests/inputs/test_speedy_speech.json

@@ -111,6 +111,8 @@
    "print_eval": false,     // If True, it prints intermediate loss values in evalulation.
    "save_step": 5000,      // Number of training steps expected to save traninpg stats and checkpoints.
    "checkpoint": true,     // If true, it saves checkpoints per "save_step"
+   "keep_best": true,  // If true, keeps all best_models after keep_after steps
+   "keep_after": 10000,    // Global step after which to keep best models if keep_best is true
    "tb_model_param_stats": false,     // true, plots param stats per layer on tensorboard. Might be memory consuming, but good for debugging.:set n
    "mixed_precision": false,
 

tests/inputs/test_train_config.json

@@ -122,6 +122,8 @@
     "print_eval": false,     // If True, it prints intermediate loss values in evalulation.
     "save_step": 10000,      // Number of training steps expected to save traninpg stats and checkpoints.
     "checkpoint": true,     // If true, it saves checkpoints per "save_step"
+    "keep_best": true,  // If true, keeps all best_models after keep_after steps
+    "keep_after": 10000,    // Global step after which to keep best models if keep_best is true
     "tb_model_param_stats": false,     // true, plots param stats per layer on tensorboard. Might be memory consuming, but good for debugging.
 
     // DATA LOADING

tests/inputs/test_vocoder_multiband_melgan_config.json

@@ -131,6 +131,8 @@
     "print_eval": false,     // If True, it prints loss values for each step in eval run.
     "save_step": 25000,      // Number of training steps expected to plot training stats on TB and save model checkpoints.
     "checkpoint": true,     // If true, it saves checkpoints per "save_step"
+    "keep_best": true,  // If true, keeps all best_models after keep_after steps
+    "keep_after": 10000,    // Global step after which to keep best models if keep_best is true
     "tb_model_param_stats": false,     // true, plots param stats per layer on tensorboard. Might be memory consuming, but good for debugging.
 
     // DATA LOADING

tests/inputs/test_vocoder_wavegrad.json

@@ -101,6 +101,8 @@
     "print_eval": false,     // If True, it prints loss values for each step in eval run.
     "save_step": 10000,      // Number of training steps expected to plot training stats on TB and save model checkpoints.
     "checkpoint": true,     // If true, it saves checkpoints per "save_step"
+    "keep_best": true,  // If true, keeps all best_models after keep_after steps
+    "keep_after": 10000,    // Global step after which to keep best models if keep_best is true
     "tb_model_param_stats": true,     // true, plots param stats per layer on tensorboard. Might be memory consuming, but good for debugging.
 
     // DATA LOADING

tests/inputs/test_vocoder_wavernn_config.json

@@ -97,6 +97,8 @@
     "print_eval": false,     // If True, it prints loss values for each step in eval run.
     "save_step": 25000,      // Number of training steps expected to plot training stats on TB and save model checkpoints.
     "checkpoint": true,     // If true, it saves checkpoints per "save_step"
+    "keep_best": true,  // If true, keeps all best_models after keep_after steps
+    "keep_after": 10000,    // Global step after which to keep best models if keep_best is true
     "tb_model_param_stats": false,     // true, plots param stats per layer on tensorboard. Might be memory consuming, but good for debugging.
 
     // DATA LOADING