summaryrefslogtreecommitdiff
path: root/runtime/onert/backend/cpu/kernel/OneHotLayer.cc
diff options
context:
space:
mode:
Diffstat (limited to 'runtime/onert/backend/cpu/kernel/OneHotLayer.cc')
-rw-r--r--runtime/onert/backend/cpu/kernel/OneHotLayer.cc70
1 files changed, 70 insertions, 0 deletions
diff --git a/runtime/onert/backend/cpu/kernel/OneHotLayer.cc b/runtime/onert/backend/cpu/kernel/OneHotLayer.cc
new file mode 100644
index 000000000..fd2c1b795
--- /dev/null
+++ b/runtime/onert/backend/cpu/kernel/OneHotLayer.cc
@@ -0,0 +1,70 @@
+/*
+ * 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.
+ */
+
+#include "OneHotLayer.h"
+
+#include "OperationUtils.h"
+
+#include <cker/operation/OneHot.h>
+
+namespace onert
+{
+namespace backend
+{
+namespace cpu
+{
+namespace kernel
+{
+
+void OneHotLayer::oneHotFloat32()
+{
+ nnfw::cker::OneHot<float, int32_t>(
+ _depth, _on_value, _off_value, _axis, convertTensorToCkerShape(_indices),
+ reinterpret_cast<const int32_t *>(_indices->buffer()), convertTensorToCkerShape(_output),
+ reinterpret_cast<float *>(_output->buffer()));
+}
+
+void OneHotLayer::oneHotQuant8() { throw std::runtime_error{"OneHot NYI for quantized"}; }
+
+void OneHotLayer::configure(const operand::Tensor *indices, operand::Tensor *output, int32_t depth,
+ float on_value, float off_value, int32_t axis)
+{
+ _indices = indices;
+ _output = output;
+ _depth = depth;
+ _on_value = on_value;
+ _off_value = off_value;
+ _axis = axis;
+ if (_axis == -1)
+ _axis = _indices->num_dimensions();
+}
+
+void OneHotLayer::run()
+{
+ if (_output->data_type() == OperandType::FLOAT32)
+ {
+ oneHotFloat32();
+ }
+ else if (_output->data_type() == OperandType::QUANT8_ASYMM)
+ {
+ oneHotQuant8();
+ }
+}
+
+} // namespace kernel
+} // namespace cpu
+} // namespace backend
+} // namespace onert