Add nnapi delegation of NEG_EX operation.
Add param and node for NEG_EX operation.
Signed-off-by: Jiyoung Yun <jy910.yun@samsung.com>
nn_op_type = ANEURALNETWORKS_TRANSPOSE;
// param is almost same as reshape
break;
+ case tflite::BuiltinOperator_NEG:
+ CHECK_NN(ANeuralNetworksModel_addOperationEx(
+ nn_model, ANEURALNETWORKS_NEG_EX,
+ static_cast<uint32_t>(augmented_inputs.size()),
+ augmented_inputs.data(), static_cast<uint32_t>(node.outputs->size),
+ reinterpret_cast<uint32_t*>(node.outputs->data)));
+ continue;
case tflite::BuiltinOperator_CONCAT_EMBEDDINGS:
case tflite::BuiltinOperator_LSH_PROJECTION:
case tflite::BuiltinOperator_HASHTABLE_LOOKUP:
case tflite::BuiltinOperator_GREATER_EQUAL:
case tflite::BuiltinOperator_LESS:
case tflite::BuiltinOperator_LESS_EQUAL:
- case tflite::BuiltinOperator_NEG:
case tflite::BuiltinOperator_SELECT:
case tflite::BuiltinOperator_SLICE:
case tflite::BuiltinOperator_SIN:
void visit(const ::internal::tflite::op::SquaredDifference::Node &node) override;
void visit(const ::internal::tflite::op::LocalResponseNormalization::Node &node) override;
void visit(const ::internal::tflite::op::DepthToSpace::Node &node) override;
+ void visit(const ::internal::tflite::op::Neg::Node &node) override;
private:
const ::internal::tflite::operand::Set &_ctx;
throw std::runtime_error("Not supported");
}
+void Planner::visit(const ::internal::tflite::op::Neg::Node &node)
+{
+ VERBOSE(Neg) << "Configure Neg operation" << std::endl;
+
+ throw std::runtime_error("Not supported, yet");
+}
+
class AllocationContext final : public IAllocationContext
{
public:
--- /dev/null
+/*
+ * 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/Neg.h"
+#include "internal/op/NodeVisitor.h"
+
+#include <cassert>
+
+namespace internal
+{
+namespace tflite
+{
+namespace op
+{
+namespace Neg
+{
+
+void Node::accept(NodeVisitor &&v) const { v.visit(*this); }
+
+} // namespace Neg
+} // namespace op
+} // namespace tflite
+} // namespace internal
+
+namespace internal
+{
+namespace tflite
+{
+namespace op
+{
+namespace Neg
+{
+
+Param::Param(uint32_t inputCount, const uint32_t *inputs, uint32_t outputCount,
+ const uint32_t *outputs)
+{
+ assert(inputCount == 1 && outputCount == 1);
+
+ ofm_index = outputs[0];
+
+ // Each input should be interpreted as follows:
+ //
+ // 0 -> Input Tensor Index
+ ifm_index = inputs[0];
+}
+
+} // namespace Neg
+} // namespace op
+} // namespace tflite
+} // namespace internal
--- /dev/null
+/*
+ * 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 __INTERNAL_OP_NEG_H__
+#define __INTERNAL_OP_NEG_H__
+
+#include "internal/op/Node.h"
+
+#include <cstdint>
+
+namespace internal
+{
+namespace tflite
+{
+namespace op
+{
+namespace Neg
+{
+
+struct Param
+{
+ int32_t ofm_index;
+
+ int32_t ifm_index;
+
+ Param() = default;
+ Param(uint32_t inputCount, const uint32_t *inputs, uint32_t outputCount, const uint32_t *outputs);
+};
+
+class Node final : public op::Node
+{
+public:
+ Node(const Param ¶m) : _param(param)
+ {
+ // DO NOTHING
+ }
+
+public:
+ virtual ~Node() = default;
+
+public:
+ const Param ¶m(void) const { return _param; }
+
+public:
+ void accept(NodeVisitor &&) const override;
+
+private:
+ const Param _param;
+};
+
+} // namespace Neg
+} // namespace op
+} // namespace tflite
+} // namespace internal
+
+#endif // __INTERNAL_OP_NEG_H__
#include "internal/op/SquaredDifference.h"
#include "internal/op/LocalResponseNormalization.h"
#include "internal/op/DepthToSpace.h"
+#include "internal/op/Neg.h"
namespace internal
{
virtual void visit(const SquaredDifference::Node &) = 0;
virtual void visit(const LocalResponseNormalization::Node &) = 0;
virtual void visit(const DepthToSpace::Node &) = 0;
+ virtual void visit(const Neg::Node &) = 0;
};
} // namespace op
break;
}
+ case ANEURALNETWORKS_NEG_EX:
+ {
+ using internal::tflite::op::Neg::Param;
+ using internal::tflite::op::Neg::Node;
+
+ // Add 'operations'
+ auto &operations = model->deref().operations();
+
+ operations.emplace_back<Node>(Param{inputCount, inputs, outputCount, outputs});
+
+ break;
+ }
default:
throw std::runtime_error{"Not supported operation"};
}