1c4d426919
http://arxiv.org/abs/2001.03288 Observed improvements: - Mobilenet V1 has 35% has memory reduction - Mobilenet V2 has 2% reduction - Majority of all other tested models demonstrated ~10-15% improvement PiperOrigin-RevId: 293250794 Change-Id: I41b1f927dfbafb1b3db360522a1417c6d993a789
113 lines
3.2 KiB
C++
113 lines
3.2 KiB
C++
/* Copyright 2017 The TensorFlow Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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==============================================================================*/
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// Main abstraction controlling the tflite interpreter.
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// See context.h for the API for defining operations (TfLiteRegistration).
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#ifndef TENSORFLOW_LITE_ALLOCATION_H_
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#define TENSORFLOW_LITE_ALLOCATION_H_
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#include <cstdio>
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#include <cstdlib>
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#include <memory>
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#include <vector>
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#include "tensorflow/lite/c/common.h"
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#include "tensorflow/lite/core/api/error_reporter.h"
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#include "tensorflow/lite/string_type.h"
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namespace tflite {
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// A memory allocation handle. This could be a mmap or shared memory.
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class Allocation {
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public:
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virtual ~Allocation() {}
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enum class Type {
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kMMap,
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kFileCopy,
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kMemory,
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};
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// Base pointer of this allocation
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virtual const void* base() const = 0;
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// Size in bytes of the allocation
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virtual size_t bytes() const = 0;
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// Whether the allocation is valid
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virtual bool valid() const = 0;
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// Return the type of the Allocation.
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Type type() const { return type_; }
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protected:
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Allocation(ErrorReporter* error_reporter, Type type)
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: error_reporter_(error_reporter), type_(type) {}
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ErrorReporter* error_reporter_;
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private:
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const Type type_;
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};
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class MMAPAllocation : public Allocation {
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public:
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MMAPAllocation(const char* filename, ErrorReporter* error_reporter);
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virtual ~MMAPAllocation();
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const void* base() const override;
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size_t bytes() const override;
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bool valid() const override;
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int fd() const { return mmap_fd_; }
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static bool IsSupported();
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protected:
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// Data required for mmap.
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int mmap_fd_ = -1; // mmap file descriptor
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const void* mmapped_buffer_;
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size_t buffer_size_bytes_ = 0;
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};
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class FileCopyAllocation : public Allocation {
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public:
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FileCopyAllocation(const char* filename, ErrorReporter* error_reporter);
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virtual ~FileCopyAllocation();
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const void* base() const override;
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size_t bytes() const override;
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bool valid() const override;
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private:
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// Data required for mmap.
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std::unique_ptr<const char[]> copied_buffer_;
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size_t buffer_size_bytes_ = 0;
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};
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class MemoryAllocation : public Allocation {
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public:
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// Allocates memory with the pointer and the number of bytes of the memory.
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// The pointer has to remain alive and unchanged until the destructor is
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// called.
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MemoryAllocation(const void* ptr, size_t num_bytes,
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ErrorReporter* error_reporter);
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virtual ~MemoryAllocation();
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const void* base() const override;
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size_t bytes() const override;
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bool valid() const override;
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private:
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const void* buffer_;
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size_t buffer_size_bytes_ = 0;
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};
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} // namespace tflite
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#endif // TENSORFLOW_LITE_ALLOCATION_H_
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