From 47556689d4bb53237470bdc9deca5e54df5bda8b Mon Sep 17 00:00:00 2001
From: dongzhihong <dzhwinter@gmail.com>
Date: Sun, 30 Jul 2017 22:38:43 +0800
Subject: [PATCH] "remove unused code"

---
 paddle/operators/random_op.cc                      | 2 --
 python/paddle/v2/framework/tests/test_random_op.py | 2 +-
 2 files changed, 1 insertion(+), 3 deletions(-)

diff --git a/paddle/operators/random_op.cc b/paddle/operators/random_op.cc
index 16e526dc4f6..674c8513452 100644
--- a/paddle/operators/random_op.cc
+++ b/paddle/operators/random_op.cc
@@ -26,7 +26,6 @@ public:
   void Compute(const framework::KernelContext& context) const override {
     auto mean = context.op_.GetAttr<T>("mean");
     auto std = context.op_.GetAttr<T>("std");
-    // auto seed = context.op_.GetAttr<T>("seed");
     auto* output = context.Output(0)->GetMutable<framework::Tensor>();
     T* r = output->mutable_data<T>(context.GetPlace());
     auto ctx =
@@ -60,7 +59,6 @@ public:
                         framework::OpAttrChecker* op_checker)
       : framework::OpProtoAndCheckerMaker(proto, op_checker) {
     AddAttr<std::vector<int>>("shape", "The shape of matrix to be randomized");
-    // AddAttr<float>("seed", "random seed generator.").SetDefault(1337);
     AddAttr<float>("mean", "mean value of random.").SetDefault(.0);
     AddAttr<float>("std", "minimum value of random value")
         .SetDefault(1.0)
diff --git a/python/paddle/v2/framework/tests/test_random_op.py b/python/paddle/v2/framework/tests/test_random_op.py
index 1c9ff350df8..d3474880d36 100644
--- a/python/paddle/v2/framework/tests/test_random_op.py
+++ b/python/paddle/v2/framework/tests/test_random_op.py
@@ -10,7 +10,7 @@ class TestRandomOp(unittest.TestCase):
         scope = core.Scope(None)
         # Out = scope.create_var("Out")
         op = creation.op_creations.gaussian_random(
-            shape=[1000, 1000], mean=5.0, std=1.0, seed=1701, Out="Out")
+            shape=[1000, 1000], mean=5.0, std=1.0, Out="Out")
         for out in op.outputs():
             if scope.get_var(out) is None:
                 scope.create_var(out).get_tensor()
-- 
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