1 files changed, 77 insertions, 0 deletions
diff --git a/runtime/onert/backend/xnnpack/ops/ConvolutionLayer.h b/runtime/onert/backend/xnnpack/ops/ConvolutionLayer.h
new file mode 100644
index 000000000..6cbaa9f3a
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+++ b/runtime/onert/backend/xnnpack/ops/ConvolutionLayer.h
@@ -0,0 +1,77 @@
+/*
+ * Copyright (c) 2020 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 __ONERT_BACKEND_XNNPACK_OPS_CONVOLUTION_LAYER_H__
+#define __ONERT_BACKEND_XNNPACK_OPS_CONVOLUTION_LAYER_H__
+
+#include "Layer.h"
+
+#include <xnnpack.h>
+
+namespace onert
+{
+namespace backend
+{
+namespace xnnpack
+{
+namespace ops
+{
+
+class ConvolutionLayer : public Layer
+{
+public:
+  ConvolutionLayer(const std::shared_ptr<ExternalContext> external_context);
+
+public:
+  void configure(const IPortableTensor *input, const IPortableTensor *kernel,
+                 const IPortableTensor *bias, ir::PaddingType padding_type,
+                 const uint32_t padding_left, const uint32_t padding_right,
+                 const uint32_t padding_top, const uint32_t padding_bottom,
+                 const uint32_t stride_width, const uint32_t stride_height,
+                 const uint32_t dilation_width_factor, const uint32_t dilation_height_factor,
+                 const ir::Activation activation, IPortableTensor *output);
+
+  void run() override;
+
+  bool create() override;
+  bool setup() override;
+
+private:
+  const IPortableTensor *_input;
+  const IPortableTensor *_kernel;
+  const IPortableTensor *_bias;
+  IPortableTensor *_output;
+
+  ir::PaddingType _padding_type;
+  uint32_t _padding_left;
+  uint32_t _padding_top;
+  uint32_t _padding_right;
+  uint32_t _padding_bottom;
+
+  uint32_t _stride_width;
+  uint32_t _stride_height;
+  uint32_t _dilation_width_factor;
+  uint32_t _dilation_height_factor;
+
+  ir::Activation _activation;
+};
+
+} // namespace ops
+} // namespace xnnpack
+} // namespace backend
+} // namespace onert
+
+#endif // __ONERT_BACKEND_XNNPACK_OPS_CONVOLUTION_LAYER_H__