/* Copyright 2018 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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#ifndef TENSORFLOW_LITE_EXPERIMENTAL_MICRO_SIMPLE_TENSOR_ALLOCATOR_H_
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#define TENSORFLOW_LITE_EXPERIMENTAL_MICRO_SIMPLE_TENSOR_ALLOCATOR_H_
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#include "tensorflow/lite/c/c_api_internal.h"
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#include "tensorflow/lite/core/api/error_reporter.h"
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#include "tensorflow/lite/schema/schema_generated.h"
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namespace tflite {
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// TODO(petewarden): This allocator never frees up or reuses any memory, even
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// though we have enough information about lifetimes of the tensors to do so.
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// This makes it pretty wasteful, so we should use a more intelligent method.
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class SimpleTensorAllocator {
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public:
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SimpleTensorAllocator(uint8_t* buffer, int buffer_size)
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: data_size_(0), data_size_max_(buffer_size), data_(buffer) {}
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TfLiteStatus AllocateTensor(
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const tflite::Tensor& flatbuffer_tensor, int create_before,
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int destroy_after,
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const flatbuffers::Vector<flatbuffers::Offset<Buffer>>* buffers,
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ErrorReporter* error_reporter, TfLiteTensor* result);
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uint8_t* AllocateMemory(size_t size, size_t alignment);
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int GetDataSize() const { return data_size_; }
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private:
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int data_size_;
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int data_size_max_;
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uint8_t* data_;
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};
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} // namespace tflite
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#endif // TENSORFLOW_LITE_EXPERIMENTAL_MICRO_SIMPLE_TENSOR_ALLOCATOR_H_
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