aboutsummaryrefslogtreecommitdiffhomepage
path: root/tensorflow/contrib/lite/simple_memory_arena.h
diff options
context:
space:
mode:
authorGravatar Andrew Selle <aselle@google.com>2017-11-10 10:35:35 -0800
committerGravatar Andrew Selle <aselle@andyselle.com>2017-11-10 16:14:42 -0800
commit0b15439f8f0f2d4755587f4096c3ea04cb199d23 (patch)
tree9aa4fc8162bf9b4ee50112a7b85703f70ca4df08 /tensorflow/contrib/lite/simple_memory_arena.h
parent7ac140a5845553275427162aabd9d54987144b4a (diff)
Internal Change.
PiperOrigin-RevId: 175307445
Diffstat (limited to 'tensorflow/contrib/lite/simple_memory_arena.h')
-rw-r--r--tensorflow/contrib/lite/simple_memory_arena.h84
1 files changed, 84 insertions, 0 deletions
diff --git a/tensorflow/contrib/lite/simple_memory_arena.h b/tensorflow/contrib/lite/simple_memory_arena.h
new file mode 100644
index 0000000000..0d0b7f9ff7
--- /dev/null
+++ b/tensorflow/contrib/lite/simple_memory_arena.h
@@ -0,0 +1,84 @@
+/* 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_SIMPLE_MEMORY_ARENA_H_
+#define THIRD_PARTY_TENSORFLOW_CONTRIB_LITE_SIMPLE_MEMORY_ARENA_H_
+
+#include <list>
+#include <memory>
+#include "tensorflow/contrib/lite/context.h"
+
+namespace tflite {
+
+// This little structure holds the offset and the size for a dynamic memory
+// allocation in the memory arena. When the arena is commited and the
+// underlying buffer is set, the alloc can be resolved into an actual memory
+// pointer.
+struct ArenaAlloc {
+ ArenaAlloc() : offset(0), size(0) {}
+
+ size_t offset;
+ size_t size;
+
+ inline bool operator<(const ArenaAlloc& other) const {
+ return offset < other.offset;
+ }
+};
+
+// This small class is responsible for allocating, dealocating and reusing
+// dynamic memory from a common underlying buffer. The arena can be used in
+// scenarios when the pattern of memory allocations and dealocations is
+// repetitive, e.g. running NN inference in multiple iterations.
+class SimpleMemoryArena {
+ public:
+ explicit SimpleMemoryArena(size_t arena_alignment)
+ : commited_(false),
+ arena_alignment_(arena_alignment),
+ high_water_mark_(0),
+ underlying_buffer_size_(0),
+ allocs_() {}
+
+ TfLiteStatus Allocate(TfLiteContext* context, size_t alignment, size_t size,
+ ArenaAlloc* new_alloc);
+
+ TfLiteStatus Deallocate(TfLiteContext* context, const ArenaAlloc& alloc);
+
+ inline size_t RequiredBufferSize() {
+ // Add in a small amount of padding to reduce the chance of resize events
+ // for small allocations.
+ size_t padding = arena_alignment_;
+ return arena_alignment_ + high_water_mark_ + padding;
+ }
+
+ TfLiteStatus Commit(TfLiteContext* context);
+
+ TfLiteStatus ResolveAlloc(TfLiteContext* context, const ArenaAlloc& alloc,
+ char** output_ptr);
+
+ TfLiteStatus Clear();
+
+ private:
+ bool commited_;
+ size_t arena_alignment_;
+ size_t high_water_mark_;
+ std::unique_ptr<char[]> underlying_buffer_;
+ size_t underlying_buffer_size_;
+ char* underlying_buffer_aligned_ptr_;
+ // TODO(maciekc): add list iterator to the ArenaAlloc to lookup quickly.
+ std::list<ArenaAlloc> allocs_;
+};
+
+} // namespace tflite
+
+#endif // THIRD_PARTY_TENSORFLOW_CONTRIB_LITE_SIMPLE_MEMORY_ARENA_H_