gradient check

python/paddle/v2/framework/tests/gradient_checker.py

@@ -86,6 +86,9 @@ def get_numeric_gradient(op,
     # we only compute gradient of one element each time.
     # we use a for loop to compute the gradient of every element.
     for i in xrange(tensor_size):
+        for var_name in input_values:
+            tensor_ = local_scope.find_var(var_name).get_tensor()
+            tensor_.set(numpy.copy(input_values[var_name]), core.CPUPlace())
         # get one input element throw it's index i.
         origin = tensor_to_check.get_float_element(i)
 
@@ -95,6 +98,9 @@ def get_numeric_gradient(op,
         y_pos = get_output()
 
         # plus delta to this element, run op and get the sum of the result tensor.
+        for var_name in input_values:
+            tensor_ = local_scope.find_var(var_name).get_tensor()
+            tensor_.set(numpy.copy(input_values[var_name]), core.CPUPlace())
         x_neg = origin - delta
         tensor_to_check.set_float_element(i, x_neg)
         y_neg = get_output()