From 6e67d0fb78b9dd23ced460d6b2bc54fcc5bde438 Mon Sep 17 00:00:00 2001
From: Wu Yi <typhoonzero1986@gmail.com>
Date: Tue, 4 Dec 2018 14:38:44 +0800
Subject: [PATCH] layer fixes (#14591)

* layer fixes test=develop

* follow update test=develop
---
 .../paddle/fluid/layers/layer_function_generator.py   | 11 ++++++++++-
 python/paddle/fluid/layers/tensor.py                  |  2 +-
 2 files changed, 11 insertions(+), 2 deletions(-)

diff --git a/python/paddle/fluid/layers/layer_function_generator.py b/python/paddle/fluid/layers/layer_function_generator.py
index eea0a362a0..09b1b30216 100644
--- a/python/paddle/fluid/layers/layer_function_generator.py
+++ b/python/paddle/fluid/layers/layer_function_generator.py
@@ -20,7 +20,7 @@ import string
 
 from six.moves import cStringIO
 from ..proto import framework_pb2
-from ..framework import OpProtoHolder, Variable
+from ..framework import OpProtoHolder, Variable, core, convert_np_dtype_to_dtype_
 from ..layer_helper import LayerHelper
 
 __all__ = [
@@ -178,6 +178,15 @@ def generate_layer_fn(op_type):
                         "operator {0} must input same dtype. {1} vs {2}".format(
                             op_type, dtype, each.dtype))
 
+        if dtype is None:
+            arg_dtype = kwargs.get("dtype")
+            if arg_dtype:
+                if not isinstance(arg_dtype, core.VarDesc.VarType):
+                    dtype = convert_np_dtype_to_dtype_(arg_dtype)
+                else:
+                    dtype = arg_dtype
+            else:
+                dtype = core.VarDesc.VarType.FP32
         return dtype
 
     def func(*args, **kwargs):
diff --git a/python/paddle/fluid/layers/tensor.py b/python/paddle/fluid/layers/tensor.py
index ff32c00104..49a486cf0c 100644
--- a/python/paddle/fluid/layers/tensor.py
+++ b/python/paddle/fluid/layers/tensor.py
@@ -622,7 +622,7 @@ def reverse(x, axis):
     out = helper.create_variable_for_type_inference(dtype=x.dtype)
     helper.append_op(
         type='reverse',
-        inputs={'Input': x},
+        inputs={'X': x},
         outputs={'Out': [out]},
         attrs={'axis': axis})
     return out
-- 
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