Fix test sentences synthesis

TTS/trainer.py

@@ -764,11 +764,11 @@ class Trainer:
         """Run test and log the results. Test run must be defined by the model.
         Model must return figures and audios to be logged by the Tensorboard."""
         if hasattr(self.model, "test_run"):
-            if hasattr(self.eval_loader.load_test_samples):
+            if hasattr(self.eval_loader, "load_test_samples"):
                 samples = self.eval_loader.load_test_samples(1)
                 figures, audios = self.model.test_run(samples)
             else:
-                figures, audios = self.model.test_run()
+                figures, audios = self.model.test_run(use_cuda=self.use_cuda, ap=self.ap)
             self.tb_logger.tb_test_audios(self.total_steps_done, audios, self.config.audio["sample_rate"])
             self.tb_logger.tb_test_figures(self.total_steps_done, figures)
 
@@ -790,7 +790,7 @@ class Trainer:
             self.train_epoch()
             if self.config.run_eval:
                 self.eval_epoch()
-            if epoch >= self.config.test_delay_epochs and self.args.rank < 0:
+            if epoch >= self.config.test_delay_epochs and self.args.rank <= 0:
                 self.test_run()
             self.c_logger.print_epoch_end(
                 epoch, self.keep_avg_eval.avg_values if self.config.run_eval else self.keep_avg_train.avg_values

TTS/tts/models/base_tts.py

@@ -200,7 +200,7 @@ class BaseTTS(BaseModel):
             )
         return loader
 
-    def test_run(self) -> Tuple[Dict, Dict]:
+    def test_run(self, use_cuda=True, ap=None) -> Tuple[Dict, Dict]:
         """Generic test run for `tts` models used by `Trainer`.
 
         You can override this for a different behaviour.
@@ -212,14 +212,14 @@ class BaseTTS(BaseModel):
         test_audios = {}
         test_figures = {}
         test_sentences = self.config.test_sentences
-        aux_inputs = self._get_aux_inputs()
+        aux_inputs = self.get_aux_input()
         for idx, sen in enumerate(test_sentences):
             wav, alignment, model_outputs, _ = synthesis(
-                self.model,
+                self,
                 sen,
                 self.config,
-                self.use_cuda,
-                self.ap,
+                use_cuda,
+                ap,
                 speaker_id=aux_inputs["speaker_id"],
                 d_vector=aux_inputs["d_vector"],
                 style_wav=aux_inputs["style_wav"],
@@ -229,6 +229,6 @@ class BaseTTS(BaseModel):
             ).values()
 
             test_audios["{}-audio".format(idx)] = wav
-            test_figures["{}-prediction".format(idx)] = plot_spectrogram(model_outputs, self.ap, output_fig=False)
+            test_figures["{}-prediction".format(idx)] = plot_spectrogram(model_outputs, ap, output_fig=False)
             test_figures["{}-alignment".format(idx)] = plot_alignment(alignment, output_fig=False)
         return test_figures, test_audios