diff options
| author | 박종현/On-Device Lab(SR)/Staff Engineer/삼성전자 <jh1302.park@samsung.com> | 2019-09-17 17:33:22 +0900 |
|---|---|---|
| committer | GitHub Enterprise <noreply-CODE@samsung.com> | 2019-09-17 17:33:22 +0900 |
| commit | 670c01e57942bfce5cad41710ef6b70755e28fe6 (patch) | |
| tree | c8d050bc2bd7df4c70221a1ef7a77b55700ae2a2 /compiler | |
| parent | b1e12cf6012c371c5b88572e936e2512f142bbf2 (diff) | |
| download | nnfw-670c01e57942bfce5cad41710ef6b70755e28fe6.tar.gz nnfw-670c01e57942bfce5cad41710ef6b70755e28fe6.tar.bz2 nnfw-670c01e57942bfce5cad41710ef6b70755e28fe6.zip | |
[plier-tf] Remove unnecessary const qualifier (#7513)
"const" qualifier on function return type has no effect.
Signed-off-by: Jonghyun Park <jh1302.park@samsung.com>
Diffstat (limited to 'compiler')
| -rw-r--r-- | compiler/plier-tf/include/plier/tf/Convert.h | 4 | ||||
| -rw-r--r-- | 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); |