fix: display wrong epoch on keras resume training

tests/tests_keras.py

@@ -80,3 +80,22 @@ def test_keras(capsys):
     assert "training: " in res
     assert "{epochs}/{epochs}".format(epochs=epochs) in res
     assert "{batches}/{batches}".format(batches=batches) in res
+
+    # continue training (start from epoch != 0)
+    initial_epoch = 3
+    model.fit(
+        x,
+        x,
+        initial_epoch=initial_epoch,
+        epochs=epochs,
+        batch_size=batch_size,
+        verbose=False,
+        callbacks=[TqdmCallback(
+            desc="training",
+            verbose=2
+        )],
+    )
+    _, res = capsys.readouterr()
+    assert "training: " in res
+    assert "{epochs}/{epochs}".format(epochs=epochs) in res
+    assert "{batches}/{batches}".format(batches=batches) in res

tqdm/keras.py

@@ -69,10 +69,12 @@ class TqdmCallback(keras.callbacks.Callback):
     def on_train_begin(self, *_, **__):
         params = self.params.get
         auto_total = params('epochs', params('nb_epoch', None))
-        if auto_total is not None:
+        if auto_total is not None and auto_total != self.epoch_bar.total:
             self.epoch_bar.reset(total=auto_total)
 
-    def on_epoch_begin(self, *_, **__):
+    def on_epoch_begin(self, epoch, *_, **__):
+        if self.epoch_bar.n < epoch:
+            self.epoch_bar.update(epoch-self.epoch_bar.n)
         if self.verbose:
             params = self.params.get
             total = params('samples', params(