remove program.backward

python/paddle/v2/fluid/framework.py

@@ -928,24 +928,6 @@ def block(self, index):
  def current_block(self):
  return self.blocks[self.current_block_idx]
 
- def append_backward(self, target, no_grad_set=None):
- """
- return map(param_name -> (grad_name, block_index, op_index))
- """
- assert isinstance(target, Variable)
- if no_grad_set is None:
- no_grad_set = set()
- try:
- param_to_grad_info = self.desc.append_backward(target.desc,
- no_grad_set)
- except Exception as e:
- raise core.EnforceNotMet(
- str(e) + "\nCurrent protobuf is\n{0}".format(
- self.to_string(False)))
-
- self.sync_with_cpp()
- return param_to_grad_info
-
  def create_block(self, parent_idx=None):
  new_block_idx = len(self.blocks)
  parent = self.current_block() if parent_idx is None else self.block(

python/paddle/v2/fluid/tests/unittests/test_layers.py

@@ -15,6 +15,7 @@
 from __future__ import print_function
 import unittest
 
+import paddle.v2.fluid.backward as backward
 import paddle.v2.fluid.layers as layers
 import paddle.v2.fluid.nets as nets
 from paddle.v2.fluid.framework import Program, program_guard, default_main_program
@@ -32,7 +33,7 @@ def test_fit_a_line(self):
  cost = layers.square_error_cost(input=y_predict, label=y)
  avg_cost = layers.mean(x=cost)
  self.assertIsNotNone(avg_cost)
- program.append_backward(avg_cost)
+ backward.append_backward(avg_cost)
 
  print(str(program))
 
@@ -94,7 +95,7 @@ def test_recognize_digits_conv(self):
  cost = layers.cross_entropy(input=predict, label=label)
  avg_cost = layers.mean(x=cost)
 
- program.append_backward(avg_cost)
+ backward.append_backward(avg_cost)
 
  print(str(program))