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-rw-r--r--onert-micro/luci-interpreter/src/kernels/Square.cpp66
1 files changed, 66 insertions, 0 deletions
diff --git a/onert-micro/luci-interpreter/src/kernels/Square.cpp b/onert-micro/luci-interpreter/src/kernels/Square.cpp
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index 000000000..6386b91f2
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+++ b/onert-micro/luci-interpreter/src/kernels/Square.cpp
@@ -0,0 +1,66 @@
+/*
+ * Copyright (c) 2021 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 "kernels/Square.h"
+#include "kernels/Utils.h"
+
+#include <cmath>
+
+namespace luci_interpreter
+{
+
+namespace kernels
+{
+
+Square::Square(const Tensor *input, Tensor *output) : Kernel({input}, {output}) {}
+
+void Square::configure()
+{
+ if (input()->element_type() != output()->element_type())
+ {
+ assert(false && "Input/output tensor data type mismatch.");
+ }
+ // TODO: enable it only if kernel with dynamic shapes
+ output()->resize(input()->shape());
+}
+
+void Square::execute() const
+{
+ switch (input()->element_type())
+ {
+ case DataType::FLOAT32:
+ evalFloat();
+ break;
+
+ default:
+ assert(false && "Unsupported type.");
+ }
+}
+
+void Square::evalFloat() const
+{
+ auto in = getTensorData<float>(input());
+ auto out = getTensorData<float>(output());
+ auto size = getTensorShape(input()).FlatSize();
+ for (auto i = in; i != in + size; ++i)
+ {
+ *out = (*i) * (*i);
+ ++out;
+ }
+}
+
+} // namespace kernels
+} // namespace luci_interpreter