diff options
| author | Chunseok Lee <chunseok.lee@samsung.com> | 2018-09-18 16:53:40 +0900 |
|---|---|---|
| committer | Chunseok Lee <chunseok.lee@samsung.com> | 2018-09-18 16:53:40 +0900 |
| commit | 91f4ba45449f700a047a4aeea00b1a7c84e94c75 (patch) | |
| tree | c60eecdba0861c51010fb0519f8a59668d90a6d2 /runtimes/pure_arm_compute/src/internal/op/Pad.cc | |
| parent | 07659ccd9fe7b1cf1547cc6cad78bcf489f0a361 (diff) | |
| download | nnfw-91f4ba45449f700a047a4aeea00b1a7c84e94c75.tar.gz nnfw-91f4ba45449f700a047a4aeea00b1a7c84e94c75.tar.bz2 nnfw-91f4ba45449f700a047a4aeea00b1a7c84e94c75.zip | |
Imported Upstream version 0.2upstream/0.2submit/tizen/20180918.075952
Diffstat (limited to 'runtimes/pure_arm_compute/src/internal/op/Pad.cc')
| -rw-r--r-- | runtimes/pure_arm_compute/src/internal/op/Pad.cc | 63 |
1 files changed, 63 insertions, 0 deletions
diff --git a/runtimes/pure_arm_compute/src/internal/op/Pad.cc b/runtimes/pure_arm_compute/src/internal/op/Pad.cc new file mode 100644 index 000000000..24d08bf36 --- /dev/null +++ b/runtimes/pure_arm_compute/src/internal/op/Pad.cc @@ -0,0 +1,63 @@ +/*
+ * 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.
+ */
+
+#include "internal/op/Pad.h"
+#include "internal/op/NodeVisitor.h"
+
+#include <cassert>
+
+namespace internal
+{
+namespace tflite
+{
+namespace op
+{
+namespace Pad
+{
+
+void Node::accept(NodeVisitor &&v) const { v.visit(*this); }
+
+} // namespace Pad
+} // namespace op
+} // namespace tflite
+} // namespace internal
+
+namespace internal
+{
+namespace tflite
+{
+namespace op
+{
+namespace Pad
+{
+
+Param::Param(uint32_t inputCount, const uint32_t *inputs, uint32_t outputCount,
+ const uint32_t *outputs)
+{
+ assert(inputCount == 2 && outputCount == 1);
+ ofm_index = outputs[0];
+
+ // Each input should be interpreted as follows:
+ //
+ // 0 -> input Tensor Index
+ // 1 -> paddings
+ ifm_index = inputs[0];
+ paddings_index = inputs[1];
+}
+} // namespace Pad
+} // namespace op
+} // namespace tflite
+} // namespace internal
|