add load_checkpoint func to tts models

TTS/tts/models/glow_tts.py

@@ -223,3 +223,11 @@ def preprocess(self, y, y_lengths, y_max_length, attn=None):
 
     def store_inverse(self):
         self.decoder.store_inverse()
+
+    def load_checkpoint(self, config, checkpoint_path, eval=False):
+        state = torch.load(checkpoint_path, map_location=torch.device('cpu'))
+        self.load_state_dict(state['model'])
+        if eval:
+            self.eval()
+            self.store_inverse()
+            assert not self.training

TTS/tts/models/speedy_speech.py

@@ -190,3 +190,10 @@ def inference(self, x, x_lengths, g=None):  # pylint: disable=unused-argument
         y_lengths = o_dr.sum(1)
         o_de, attn= self._forward_decoder(o_en, o_en_dp, o_dr, x_mask, y_lengths, g=g)
         return o_de, attn
+
+    def load_checkpoint(self, config, checkpoint_path, eval=False):
+        state = torch.load(checkpoint_path, map_location=torch.device('cpu'))
+        self.load_state_dict(state['model'])
+        if eval:
+            self.eval()
+            assert not self.training

TTS/tts/models/tacotron_abstract.py

@@ -121,6 +121,14 @@ def forward(self):
     def inference(self):
         pass
 
+    def load_checkpoint(self, config, checkpoint_path, eval=False):
+        state = torch.load(checkpoint_path, map_location=torch.device('cpu'))
+        self.load_state_dict(state['model'])
+        self.decoder.set_r(state['r'])
+        if eval:
+            self.eval()
+            assert not self.training
+
     #############################
     # COMMON COMPUTE FUNCTIONS
     #############################