From 6e83c0030148895e39e02093e385ceb639c61022 Mon Sep 17 00:00:00 2001
From: Yancey1989 <yancey1989@gmail.com>
Date: Wed, 28 Feb 2018 19:03:17 +0800
Subject: [PATCH] Registry var type infer in split_selected_rows op

---
 python/paddle/fluid/distribute_transpiler.py | 13 ++++++++-----
 1 file changed, 8 insertions(+), 5 deletions(-)

diff --git a/python/paddle/fluid/distribute_transpiler.py b/python/paddle/fluid/distribute_transpiler.py
index 8da9ca290b..497bcf93a3 100644
--- a/python/paddle/fluid/distribute_transpiler.py
+++ b/python/paddle/fluid/distribute_transpiler.py
@@ -276,6 +276,7 @@ class DistributeTranspiler:
             pserver_program.global_block().create_var(
                 name=orig_var_name,
                 persistable=True,
+                type=v.type,
                 dtype=v.dtype,
                 shape=v.shape)
             print("create origin var: ", orig_var_name)
@@ -283,6 +284,7 @@ class DistributeTranspiler:
                 var = pserver_program.global_block().create_var(
                     name="%s.trainer_%d" % (orig_var_name, trainer_id),
                     persistable=False,
+                    type=v.type,
                     dtype=v.dtype,
                     shape=v.shape)
                 recv_inputs.append(var)
@@ -551,11 +553,12 @@ class DistributeTranspiler:
                         type="sum",
                         inputs={"X": vars2merge},
                         outputs={"Out": merged_var})
-                    optimize_block.append_op(
-                        type="scale",
-                        inputs={"X": merged_var},
-                        outputs={"Out": merged_var},
-                        attrs={"scale": 1.0 / float(self.trainers)})
+                    if not merged_var.type == core.VarDesc.VarType.SELECTED_ROWS:
+                        optimize_block.append_op(
+                            type="scale",
+                            inputs={"X": merged_var},
+                            outputs={"Out": merged_var},
+                            attrs={"scale": 1.0 / float(self.trainers)})
                 new_inputs[key] = merged_var
             elif key == "Param":
                 # param is already created on global program
-- 
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