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authorChunseok Lee <chunseok.lee@samsung.com>2020-03-05 15:10:09 +0900
committerChunseok Lee <chunseok.lee@samsung.com>2020-03-05 15:22:53 +0900
commitd91a039e0eda6fd70dcd22672b8ce1817c1ca50e (patch)
tree62668ec548cf31fadbbf4e99522999ad13434a25 /runtimes/neurun/backend/srcn/TensorBuilder.cc
parentbd11b24234d7d43dfe05a81c520aa01ffad06e42 (diff)
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catch up to tizen_5.5 and remove unness dir
- update to tizen_5.5 - remove dirs
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+/*
+ * Copyright (c) 2019 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 "TensorBuilder.h"
+
+#include <cassert>
+
+#include "util/logging.h"
+
+namespace neurun
+{
+namespace backend
+{
+namespace srcn
+{
+
+TensorBuilder::TensorBuilder() : _tensor_mgr{new TensorManager()}
+{
+ // DO NOTHING
+}
+
+void TensorBuilder::registerTensorInfo(const model::OperandIndex &ind,
+ const model::OperandInfo &info,
+ model::Layout /*frontend_layout*/,
+ model::Layout /*backend_layout*/, bool as_const)
+{
+ _tensor_info_map.emplace(ind, info);
+
+ // TODO set the layout
+
+ if (as_const)
+ _constants.append(ind);
+}
+
+void TensorBuilder::registerSubTensorInfo(const model::OperandIndex &,
+ const compiler::SubTensorInfo &)
+{
+ // Not supported yet
+ assert(false);
+}
+
+void TensorBuilder::notifyFirstUse(const model::OperandIndex &ind)
+{
+ assert(_tensor_info_map.find(ind) != _tensor_info_map.end());
+ const auto &info = _tensor_info_map.at(ind);
+ const auto size = info.total_size();
+ _tensor_mgr->buildTensor(ind, info, _constants.contains(ind));
+ _tensor_mgr->claimPlan(ind, size);
+}
+
+void TensorBuilder::notifyLastUse(const model::OperandIndex &ind) { _tensor_mgr->releasePlan(ind); }
+
+void TensorBuilder::prepare(void)
+{
+ _tensor_mgr->allocateConsts();
+ _tensor_mgr->allocateNonconsts();
+}
+
+// TODO Remove this
+void TensorBuilder::allocate(void)
+{
+ // NOTE For now nothing to do. Allocation is done in prepare stage, which is not appropriate
+ // This is because SRCN kernels require `ITensor`s to be allocated before Kernel Generation.
+}
+
+void TensorBuilder::allocateConsts()
+{
+ // NOTE For now nothing to do. Allocation is done in prepare stage, which is not appropriate
+ // This is because SRCN kernels require `ITensor`s to be allocated before Kernel Generation.
+}
+
+void TensorBuilder::allocateNonconsts()
+{
+ // NOTE For now nothing to do. Allocation is done in prepare stage, which is not appropriate
+ // This is because SRCN kernels require `ITensor`s to be allocated before Kernel Generation.
+}
+
+std::shared_ptr<::neurun::backend::operand::ITensor>
+TensorBuilder::tensorAt(const model::OperandIndex &ind)
+{
+ return _tensor_mgr->at(ind);
+}
+
+std::shared_ptr<backend::operand::IObject> TensorBuilder::wrapTensor(const model::OperandIndex &ind)
+{
+ return _tensor_mgr->wrapTensor(ind);
+}
+
+void TensorBuilder::iterate(const IterateFunction &fn) { _tensor_mgr->iterate(fn); }
+
+std::shared_ptr<operand::Tensor> TensorBuilder::at(const ::neurun::model::OperandIndex &ind)
+{
+ return _tensor_mgr->at(ind);
+}
+
+std::unique_ptr<ITensorManager> TensorBuilder::releaseTensorManager(void)
+{
+ return std::move(_tensor_mgr);
+}
+
+} // namespace srcn
+} // namespace backend
+} // namespace neurun