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::Unpack::Node &node) override;
void visit(const ::internal::tflite::op::Neg::Node &node) override;
void visit(const ::internal::tflite::op::Exp::Node &node) override;
void visit(const ::internal::tflite::op::ReduceSum::Node &node) override;
_builder.addStage(stage);
}
+void Planner::visit(const ::internal::tflite::op::Unpack::Node &node)
+{
+ VERBOSE(Unpack) << "Configure Unpack operation" << std::endl;
+
+ throw std::runtime_error("Not supported, yet");
+}
+
void Planner::visit(const ::internal::tflite::op::Pack::Node &node)
{
VERBOSE(Pack) << "Configure Pack operation" << std::endl;
#include "internal/op/SquaredDifference.h"
#include "internal/op/LocalResponseNormalization.h"
#include "internal/op/DepthToSpace.h"
+#include "internal/op/Unpack.h"
#include "internal/op/Neg.h"
#include "internal/op/Exp.h"
#include "internal/op/ReduceSum.h"
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 Unpack::Node &) = 0;
virtual void visit(const Neg::Node &) = 0;
virtual void visit(const Exp::Node &) = 0;
virtual void visit(const ReduceSum::Node &) = 0;
--- /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/Unpack.h"
+#include "internal/op/NodeVisitor.h"
+
+#include <cassert>
+
+namespace internal
+{
+namespace tflite
+{
+namespace op
+{
+namespace Unpack
+{
+
+void Node::accept(NodeVisitor &&v) const { v.visit(*this); }
+
+} // namespace Unpack
+} // namespace op
+} // namespace tflite
+} // namespace internal
+
+namespace internal
+{
+namespace tflite
+{
+namespace op
+{
+namespace Unpack
+{
+// There are two inputs: tensor which is to be unpacked
+// and axis along which tensor needs to be unpacked.
+
+Param::Param(uint32_t inputCount, const uint32_t *inputs, uint32_t outputCount,
+ const uint32_t *outputs)
+{
+ assert(inputCount == 2);
+
+ ifm_index = inputs[0];
+
+ for (uint32_t n = 0; n < outputCount; ++n)
+ {
+ ofm_indexes.emplace_back(outputs[n]);
+ }
+ axis_index = inputs[1];
+}
+
+} // namespace Unpack
+} // 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_UNPACK_H__
+#define __INTERNAL_OP_UNPACK_H__
+
+#include "internal/op/Node.h"
+
+#include <cstdint>
+#include <vector>
+
+namespace internal
+{
+namespace tflite
+{
+namespace op
+{
+namespace Unpack
+{
+
+struct Param
+{
+ int32_t ifm_index;
+ int32_t axis_index;
+ // There are N outputs after Unpacking Input Tensor along axis
+ std::vector<int32_t> ofm_indexes;
+
+ 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 Unpack
+} // namespace op
+} // namespace tflite
+} // namespace internal
+
+#endif // __INTERNAL_OP_UNPACK_H__
break;
}
+ case ANEURALNETWORKS_UNPACK_EX:
+ {
+ using internal::tflite::op::Unpack::Param;
+ using internal::tflite::op::Unpack::Node;
+
+ auto &operations = model->deref().operations();
+
+ operations.emplace_back<Node>(Param{inputCount, inputs, outputCount, outputs});
+
+ break;
+ }
case ANEURALNETWORKS_NEG_EX:
{
using internal::tflite::op::Neg::Param;