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/external/tensorflow/tensorflow/examples/get_started/regression/
Dimports85.py74 def dataset(y_name="price", train_fraction=0.7): argument
101 label = features_dict.pop(y_name)
166 def load_data(y_name="price", train_fraction=0.7, seed=None): argument
201 y_train = x_train.pop(y_name)
202 y_test = x_test.pop(y_name)
/external/tensorflow/tensorflow/python/ops/
Dcheck_ops.py580 y_name = _shape_and_dtype_str(y)
583 y_name = y.name
590 'y (%s) = ' % y_name, y
703 y_name = _shape_and_dtype_str(y)
706 y_name = y.name
712 'x (%s) = ' % x_name, x, 'y (%s) = ' % y_name, y
780 y_name = _shape_and_dtype_str(y)
783 y_name = y.name
789 'x (%s) = ' % x_name, x, 'y (%s) = ' % y_name, y
856 y_name = _shape_and_dtype_str(y)
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/external/tensorflow/tensorflow/python/debug/lib/
Dsession_debug_testlib.py628 y_name = "testFindNodesWithBadTensorValues/y"
643 y = math_ops.multiply(w, x, name=y_name)
664 self.assertEqual(y_name, bad_data[1].node_name)
679 y_name = "testFindInfOrNanWithOpNameExclusion/y"
694 y = math_ops.multiply(w, x, name=y_name)
713 self.assertEqual(y_name, bad_data[0].node_name)
720 self.assertEqual(y_name, first_bad_datum[0].node_name)
982 y_name = "oneOfTwoSlots/y"
991 y = math_ops.add(w, w, name=y_name)
1001 run_options, y_name, 0, debug_urls=self._debug_urls())