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/external/tensorflow/tensorflow/python/framework/
Dtraceable_stack_test.py33 t_obj = traceable_stack.TraceableObject(17)
39 result = t_obj.set_filename_and_line_from_caller()
42 self.assertEqual(expected_lineno, t_obj.lineno)
43 self.assertEqual(_THIS_FILENAME, t_obj.filename)
44 self.assertEqual(t_obj.SUCCESS, result)
48 def call_set_filename_and_line_from_caller(t_obj): argument
50 return t_obj.set_filename_and_line_from_caller(offset=1)
52 t_obj = traceable_stack.TraceableObject(None)
57 result = call_set_filename_and_line_from_caller(t_obj)
60 self.assertEqual(expected_lineno, t_obj.lineno)
[all …]
Dtraceable_stack.py114 return [t_obj.obj for t_obj in reversed(self._stack)]
/external/tensorflow/tensorflow/examples/tutorials/deepdream/
Ddeepdream.ipynb426 "def render_naive(t_obj, img0=img_noise, iter_n=20, step=1.0):\n",
427 " t_score = tf.reduce_mean(t_obj) # defining the optimization objective\n",
595 …"def render_multiscale(t_obj, img0=img_noise, iter_n=10, step=1.0, octave_n=3, octave_scale=1.4):\…
596 " t_score = tf.reduce_mean(t_obj) # defining the optimization objective\n",
806 "def render_lapnorm(t_obj, img0=img_noise, visfunc=visstd,\n",
808 " t_score = tf.reduce_mean(t_obj) # defining the optimization objective\n",
1103 "def render_deepdream(t_obj, img0=img_noise,\n",
1105 " t_score = tf.reduce_mean(t_obj) # defining the optimization objective\n",