Reset the global_train_batch in each training.

PiperOrigin-RevId: 303016514
Change-Id: I6af560f7f6e94c359600c2913a9dd426f062b921

tensorflow/python/keras/callbacks.py

@@ -2005,6 +2005,7 @@ class TensorBoard(Callback, version_utils.TensorBoardVersionSelector):
     self._should_trace = not (self._start_batch == 0 and self._stop_batch == 0)
 
   def on_train_begin(self, logs=None):
+    self._global_train_batch = 0
     self._push_writer(self._train_writer, self._train_step)
 
   def on_train_end(self, logs=None):

tensorflow/python/keras/callbacks_test.py

@@ -2018,14 +2018,16 @@ class TestTensorBoardV2NonParameterizedTest(keras_parameterized.TestCase):
         run_eagerly=testing_utils.should_run_eagerly())
     return model
 
-  def _get_trace_file(self, logdir):
+  def _count_trace_file(self, logdir):
     profile_dir = os.path.join(logdir, 'plugins', 'profile')
+    count = 0
     for (dirpath, dirnames, filenames) in os.walk(profile_dir):
+      del dirpath  # unused
       del dirnames  # unused
       for filename in filenames:
         if filename.endswith('.trace.json.gz'):
-          return os.path.join(dirpath, filename)
+          count += 1
-    return None
+    return count
 
   def fitModelAndAssertKerasModelWritten(self, model):
     x, y = np.ones((10, 10, 10, 1)), np.ones((10, 1))
@@ -2095,7 +2097,7 @@ class TestTensorBoardV2NonParameterizedTest(keras_parameterized.TestCase):
             _ObservedSummary(logdir=self.train_dir, tag=u'batch_1'),
         },
     )
-    self.assertIsNotNone(self._get_trace_file(logdir=self.train_dir))
+    self.assertEqual(1, self._count_trace_file(logdir=self.train_dir))
 
   def test_TensorBoard_autoTrace_tagNameWithBatchNum(self):
     model = self._get_seq_model()
@@ -2118,7 +2120,7 @@ class TestTensorBoardV2NonParameterizedTest(keras_parameterized.TestCase):
             _ObservedSummary(logdir=self.train_dir, tag=u'batch_2'),
         },
     )
-    self.assertIsNotNone(self._get_trace_file(logdir=self.train_dir))
+    self.assertEqual(1, self._count_trace_file(logdir=self.train_dir))
 
   def test_TensorBoard_autoTrace_profileBatchRangeSingle(self):
     model = self._get_seq_model()
@@ -2142,7 +2144,30 @@ class TestTensorBoardV2NonParameterizedTest(keras_parameterized.TestCase):
             _ObservedSummary(logdir=self.train_dir, tag=u'batch_2'),
         },
     )
-    self.assertIsNotNone(self._get_trace_file(logdir=self.train_dir))
+    self.assertEqual(1, self._count_trace_file(logdir=self.train_dir))
+
+  def test_TensorBoard_autoTrace_profileBatchRangeTwice(self):
+    model = self._get_seq_model()
+    x, y = np.ones((10, 10, 10, 1)), np.ones((10, 1))
+    tb_cbk = keras.callbacks.TensorBoard(
+        self.logdir, histogram_freq=1, profile_batch='10,10', write_graph=False)
+
+    model.fit(
+        x,
+        y,
+        batch_size=3,
+        epochs=10,
+        validation_data=(x, y),
+        callbacks=[tb_cbk])
+
+    model.fit(
+        x,
+        y,
+        batch_size=3,
+        epochs=10,
+        validation_data=(x, y),
+        callbacks=[tb_cbk])
+    self.assertEqual(2, self._count_trace_file(logdir=self.train_dir))
 
   # Test case that replicates a Github issue.
   # https://github.com/tensorflow/tensorflow/issues/37543
@@ -2162,7 +2187,7 @@ class TestTensorBoardV2NonParameterizedTest(keras_parameterized.TestCase):
         callbacks=[keras.callbacks.TensorBoard(logdir, profile_batch=1)],
     )
     # Verifies trace exists in the first logdir.
-    self.assertIsNotNone(self._get_trace_file(logdir=logdir))
+    self.assertEqual(1, self._count_trace_file(logdir=logdir))
     logdir = os.path.join(self.get_temp_dir(), 'tb2')
     model.fit(
         np.zeros((64, 1)),
@@ -2171,7 +2196,7 @@ class TestTensorBoardV2NonParameterizedTest(keras_parameterized.TestCase):
         callbacks=[keras.callbacks.TensorBoard(logdir, profile_batch=2)],
     )
     # Verifies trace exists in the second logdir.
-    self.assertIsNotNone(self._get_trace_file(logdir=logdir))
+    self.assertEqual(1, self._count_trace_file(logdir=logdir))
 
   def test_TensorBoard_autoTrace_profileBatchRange(self):
     model = self._get_seq_model()
@@ -2195,7 +2220,7 @@ class TestTensorBoardV2NonParameterizedTest(keras_parameterized.TestCase):
             _ObservedSummary(logdir=self.train_dir, tag=u'batch_3'),
         },
     )
-    self.assertIsNotNone(self._get_trace_file(logdir=self.train_dir))
+    self.assertEqual(1, self._count_trace_file(logdir=self.train_dir))
 
   def test_TensorBoard_autoTrace_profileInvalidBatchRange(self):
     with self.assertRaises(ValueError):
@@ -2237,7 +2262,7 @@ class TestTensorBoardV2NonParameterizedTest(keras_parameterized.TestCase):
 
     # Enabled trace only on the 10000th batch, thus it should be empty.
     self.assertEmpty(summary_file.tensors)
-    self.assertIsNone(self._get_trace_file(logdir=self.train_dir))
+    self.assertEqual(0, self._count_trace_file(logdir=self.train_dir))
 
 
 class MostRecentlyModifiedFileMatchingPatternTest(test.TestCase):