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authorGravatar Guozhong Zhuang <guozhong.zhuang@intel.com>2018-09-18 09:52:03 -0700
committerGravatar Guozhong Zhuang <guozhong.zhuang@intel.com>2018-09-18 09:52:03 -0700
commit30f28a7f44f39cb8f24fde17252c3e2539c22bb0 (patch)
treeff9911679bb6dfa09cc4f97440f90689efb9af8d /tensorflow/core/util
parentfbd48c7a8bb088d92988fce4f757d1719e9c57a2 (diff)
change per code style check
Diffstat (limited to 'tensorflow/core/util')
-rw-r--r--tensorflow/core/util/mkl_util.h15
1 files changed, 8 insertions, 7 deletions
diff --git a/tensorflow/core/util/mkl_util.h b/tensorflow/core/util/mkl_util.h
index 5ea8f2ee47..387e5ee5a6 100644
--- a/tensorflow/core/util/mkl_util.h
+++ b/tensorflow/core/util/mkl_util.h
@@ -13,8 +13,8 @@ See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/
-#ifndef TENSORFLOW_CORE_UTIL_MKL_UTIL_H_
-#define TENSORFLOW_CORE_UTIL_MKL_UTIL_H_
+#ifndef TENSORFLOW_TENSORFLOW_CORE_UTIL_MKL_UTIL_H_
+#define TENSORFLOW_TENSORFLOW_CORE_UTIL_MKL_UTIL_H_
#ifdef INTEL_MKL
#include <string>
@@ -2040,8 +2040,8 @@ class MklPrimitiveFactory {
/// Fuction to check whether primitive memory optimization is enabled
static inline bool IsPrimitiveMemOptEnabled() {
bool is_primitive_mem_opt_enabled = true;
- TF_CHECK_OK(ReadBoolFromEnvVar("TF_MKL_OPTIMIZE_PRIMITIVE_MEMUSE", true,
- &is_primitive_mem_opt_enabled));
+ TF_CHECK_OK(ReadBoolFromEnvVar("TF_MKL_OPTIMIZE_PRIMITIVE_MEMUSE",
+ true, &is_primitive_mem_opt_enabled));
return is_primitive_mem_opt_enabled;
}
@@ -2098,7 +2098,7 @@ static inline memory::format get_desired_format(int channel,
(channel % 8) == 0) {
fmt_desired = is_2d
? memory::format::nChw8c
- : memory::format::ncdhw; //not support avx2 for 3d yet.
+ : memory::format::ncdhw; // not support avx2 for 3d yet.
} else {
fmt_desired = is_2d ? memory::format::nchw : memory::format::ncdhw;
}
@@ -2210,7 +2210,8 @@ inline primitive FindOrCreateReorder(const memory* from, const memory* to) {
// utility function to determine if it is conv 1x1 and stride != 1
// for purpose of temporarily disabling primitive reuse
-inline bool IsConv1x1StrideNot1(memory::dims filter_dims, memory::dims strides) {
+inline bool IsConv1x1StrideNot1(memory::dims filter_dims,
+ memory::dims strides) {
if (filter_dims.size() != 4 || strides.size() != 2) return false;
return ((filter_dims[2] == 1) && (filter_dims[3] == 1) &&
@@ -2221,4 +2222,4 @@ inline bool IsConv1x1StrideNot1(memory::dims filter_dims, memory::dims strides)
} // namespace tensorflow
#endif // INTEL_MKL
-#endif // TENSORFLOW_CORE_UTIL_MKL_UTIL_H_
+#endif // TENSORFLOW_TENSORFLOW_CORE_UTIL_MKL_UTIL_H_