add flag for saving images to summary; strings moved to common.py'

research/object_detection/utils/ops_test.py

@@ -136,6 +136,13 @@ class OpsTestPadToMultiple(tf.test.TestCase):
       padded_tensor_out = sess.run(padded_tensor)
     self.assertEqual((1, 2, 2, 1), padded_tensor_out.shape)
 
+  def test_non_square_padding(self):
+    tensor = tf.constant([[[[0.], [0.]]]])
+    padded_tensor = ops.pad_to_multiple(tensor, 2)
+    with self.test_session() as sess:
+      padded_tensor_out = sess.run(padded_tensor)
+    self.assertEqual((1, 2, 2, 1), padded_tensor_out.shape)
+
   def test_padding(self):
     tensor = tf.constant([[[[0.], [0.]], [[0.], [0.]]]])
     padded_tensor = ops.pad_to_multiple(tensor, 4)

research/object_detection/utils/variables_helper.py

@@ -42,7 +42,7 @@ def filter_variables(variables, filter_regex_list, invert=False):
     a list of filtered variables.
   """
   kept_vars = []
-  variables_to_ignore_patterns = filter(None, filter_regex_list)
+  variables_to_ignore_patterns = list(filter(None, filter_regex_list))
   for var in variables:
     add = True
     for pattern in variables_to_ignore_patterns:

samples/outreach/demos/eager_execution.ipynb

@@ -282,9 +282,10 @@
       },
       "cell_type": "code",
       "source": [
-        "if tf.test.is_gpu_available() > 0:\n",
+        "if tf.test.is_gpu_available():\n",
         "  with tf.device(tf.test.gpu_device_name()):\n",
-        "    print(tf.matmul(A, A))"
+        "    B = tf.constant([[2.0, 0.0], [0.0, 3.0]])\n",
+        "    print(tf.matmul(B, B))"
       ],
       "execution_count": 0,
       "outputs": []