From 9d78971d8bc05fd844448f01ebbc5a8a3d0112a1 Mon Sep 17 00:00:00 2001
From: zhouhanqing <1051910017@qq.com>
Date: Fri, 9 Mar 2018 14:07:25 +0800
Subject: [PATCH] Some comments have been modified.
---
paddle/fluid/operators/reduce_op.cc | 2 +-
python/paddle/fluid/layers/nn.py | 7 ++++---
2 files changed, 5 insertions(+), 4 deletions(-)
diff --git a/paddle/fluid/operators/reduce_op.cc b/paddle/fluid/operators/reduce_op.cc
index 4266636b2a..7879367830 100644
--- a/paddle/fluid/operators/reduce_op.cc
+++ b/paddle/fluid/operators/reduce_op.cc
@@ -177,7 +177,7 @@ class ReduceProdOpMaker : public ReduceOpMaker {
public:
ReduceProdOpMaker(OpProto *proto, OpAttrChecker *op_checker)
: ReduceOpMaker(proto, op_checker) {
- SetComment("ReduceProd", "prod");
+ SetComment("ReduceProd", "production");
AddComment(comment_);
}
};
diff --git a/python/paddle/fluid/layers/nn.py b/python/paddle/fluid/layers/nn.py
index 0d9c0df854..a5957304e2 100644
--- a/python/paddle/fluid/layers/nn.py
+++ b/python/paddle/fluid/layers/nn.py
@@ -2215,8 +2215,8 @@ def reduce_prod(input, dim=None, keep_dim=False, name=None):
keep_dim (bool|False): Whether to reserve the reduced dimension in the
output Tensor. The result tensor will have one fewer dimension
than the :attr:`input` unless :attr:`keep_dim` is true.
- name(str|None): A name for this layer(optional). If set None, the layer
- will be named automatically.
+ name(str|None): A name for this layer(optional). If set None, the
+ layer will be named automatically.
Returns:
Variable: The reduced Tensor variable.
@@ -2231,7 +2231,8 @@ def reduce_prod(input, dim=None, keep_dim=False, name=None):
fluid.layers.reduce_prod(x) # [0.0002268]
fluid.layers.reduce_prod(x, dim=0) # [0.02, 0.06, 0.3, 0.63]
fluid.layers.reduce_prod(x, dim=-1) # [0.027, 0.0084]
- fluid.layers.reduce_prod(x, dim=1, keep_dim=True) # [[0.027], [0.0084]]
+ fluid.layers.reduce_prod(x, dim=1,
+ keep_dim=True) # [[0.027], [0.0084]]
"""
helper = LayerHelper('reduce_prod', **locals())
out = helper.create_tmp_variable(dtype=helper.input_dtype())