Clean up the allocation logic in the interpreter.

PiperOrigin-RevId: 181865795

1 files changed, 45 insertions, 0 deletions

diff --git a/tensorflow/contrib/lite/memory_planner.h b/tensorflow/contrib/lite/memory_planner.h
new file mode 100644
index 0000000000..b11d86c375
--- /dev/null
+++ b/tensorflow/contrib/lite/memory_planner.h
@@ -0,0 +1,45 @@
+/* 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 THIRD_PARTY_TENSORFLOW_CONTRIB_LITE_MEMORY_PLANNER_H_
+#define THIRD_PARTY_TENSORFLOW_CONTRIB_LITE_MEMORY_PLANNER_H_
+
+#include "tensorflow/contrib/lite/context.h"
+
+namespace tflite {
+
+// A MemoryPlanner is responsible for planning and executing a number of
+// memory-related operations that are necessary in TF Lite.
+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 earliers. This is called when tensors sizes
+  // have change. All planned allocations remain, but can't be used until
+  // ExecuteAllocations() is called.
+  virtual TfLiteStatus ResetAllocations() = 0;
+};
+
+}  // namespace tflite
+
+#endif  // THIRD_PARTY_TENSORFLOW_CONTRIB_LITE_MEMORY_PLANNER_H_