1 files changed, 0 insertions, 52 deletions
diff --git a/include/kernel/acl/Conv2D.h b/include/kernel/acl/Conv2D.h
deleted file mode 100644
index 5f2cd4d06..000000000
--- a/include/kernel/acl/Conv2D.h
+++ /dev/null
@@ -1,52 +0,0 @@
-/*
- * Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved
- *
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- *    http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-
-#ifndef __NNFW_KERNEL_ACL_CONV2D_H__
-#define __NNFW_KERNEL_ACL_CONV2D_H__
-
-#include <OperationsUtils.h>
-
-namespace nnfw {
-namespace kernel {
-namespace acl {
-
-bool convFloat32(const float* inputData, const nnfw::rt::Shape& inputShape,
-                 const float* filterData, const nnfw::rt::Shape& filterShape,
-                 const float* biasData, const nnfw::rt::Shape& biasShape,
-                 int32_t padding_left, int32_t padding_right,
-                 int32_t padding_top, int32_t padding_bottom,
-                 int32_t stride_width, int32_t stride_height,
-                 int32_t activation,
-                 float* outputData, const nnfw::rt::Shape& outputShape);
-
-namespace neon {
-
-bool convFloat32(const float* inputData, const nnfw::rt::Shape& inputShape,
-                 const float* filterData, const nnfw::rt::Shape& filterShape,
-                 const float* biasData, const nnfw::rt::Shape& biasShape,
-                 int32_t padding_left, int32_t padding_right,
-                 int32_t padding_top, int32_t padding_bottom,
-                 int32_t stride_width, int32_t stride_height,
-                 int32_t activation,
-                 float* outputData, const nnfw::rt::Shape& outputShape);
-
-} // namespace neon
-
-} // namespace acl
-} // namespace kernal
-} // namespace nnfw
-
-#endif // __NNFW_KERNEL_ACL_CONV2D_H__