| /* Copyright 2017 The TensorFlow Authors. 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 TENSORFLOW_LITE_MEMORY_PLANNER_H_ |
| #define TENSORFLOW_LITE_MEMORY_PLANNER_H_ |
| |
| #include "tensorflow/lite/c/c_api_internal.h" |
| |
| namespace tflite { |
| |
| // A MemoryPlanner is responsible for planning and executing a number of |
| // memory-related operations that are necessary in TF Lite. |
| // |
| // TODO(b/127354079): Remove the constrain below when the issue is fixed. |
| // WARNING: MemoryPlanner's behavior must be deterministic. If the first N |
| // nodes are unchanged, it must produce exactly the same allocation plan for |
| // the first N nodes. |
| class MemoryPlanner { |
| public: |
| virtual ~MemoryPlanner() {} |
| |
| // Plans the necessary memory allocations. This is the MemoryPlanner's |
| // pre-processing step and is called when the graph structure is known but |
| // actual size of the tensors is not. |
| virtual TfLiteStatus PlanAllocations() = 0; |
| |
| // Allocates the necessary memory to execute all nodes in the interval |
| // [first_node, last_node]. |
| virtual TfLiteStatus ExecuteAllocations(int first_node, int last_node) = 0; |
| |
| // Invalidates allocations made earlier. This is called when tensors sizes |
| // have changed. All planned allocations remain, but can't be used until |
| // ExecuteAllocations() is called. |
| virtual TfLiteStatus ResetAllocations() = 0; |
| }; |
| |
| } // namespace tflite |
| |
| #endif // TENSORFLOW_LITE_MEMORY_PLANNER_H_ |