From 670c01e57942bfce5cad41710ef6b70755e28fe6 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=EB=B0=95=EC=A2=85=ED=98=84/On-Device=20Lab=28SR=29/Staff?= =?UTF-8?q?=20Engineer/=EC=82=BC=EC=84=B1=EC=A0=84=EC=9E=90?= Date: Tue, 17 Sep 2019 17:33:22 +0900 Subject: [plier-tf] Remove unnecessary const qualifier (#7513) "const" qualifier on function return type has no effect. Signed-off-by: Jonghyun Park --- compiler/plier-tf/include/plier/tf/Convert.h | 4 ++-- compiler/plier-tf/src/Convert.cpp | 4 ++-- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/compiler/plier-tf/include/plier/tf/Convert.h b/compiler/plier-tf/include/plier/tf/Convert.h index 857f32eb2..13e855d20 100644 --- a/compiler/plier-tf/include/plier/tf/Convert.h +++ b/compiler/plier-tf/include/plier/tf/Convert.h @@ -60,9 +60,9 @@ enum class DataLayout }; /// @ brief Convert TF Data Layout string (e.g., "NHWC") to enum class for programming convenience -const DataLayout as_data_layout(const std::string &tf_layout_str); +DataLayout as_data_layout(const std::string &tf_layout_str); -const DataLayout get_data_layout(const tensorflow::NodeDef &node, const std::string &attr_name); +DataLayout get_data_layout(const tensorflow::NodeDef &node, const std::string &attr_name); /** * @brief Copy shape defined in TensorShapeProto to angkor shape diff --git a/compiler/plier-tf/src/Convert.cpp b/compiler/plier-tf/src/Convert.cpp index 127c0bc59..15fc2da31 100644 --- a/compiler/plier-tf/src/Convert.cpp +++ b/compiler/plier-tf/src/Convert.cpp @@ -141,7 +141,7 @@ loco::DataType as_loco_datatype(const tensorflow::DataType tf_dtype) throw std::runtime_error{"Unsupported tensorflow dtype: " + tensorflow::DataType_Name(tf_dtype)}; } -const DataLayout as_data_layout(const std::string &tf_layout_str) +DataLayout as_data_layout(const std::string &tf_layout_str) { if (tf_layout_str == "NHWC") return DataLayout::NHWC; @@ -151,7 +151,7 @@ const DataLayout as_data_layout(const std::string &tf_layout_str) throw std::runtime_error("unknown data layout"); } -const DataLayout get_data_layout(const tensorflow::NodeDef &node, const std::string &attr_name) +DataLayout get_data_layout(const tensorflow::NodeDef &node, const std::string &attr_name) { auto layout = get_string_attr(node, attr_name); -- cgit v1.2.3