wehub-resource-sync
57 lines
1.9 KiB
C++
57 lines
1.9 KiB
C++
/* Copyright 2024 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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#include "tensorflow/lite/experimental/resource/cache_buffer.h"
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#include <cstdlib>
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#include <cstring>
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#include "tensorflow/lite/core/c/c_api_types.h"
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#include "tensorflow/lite/core/c/common.h"
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#include "tensorflow/lite/kernels/internal/compatibility.h"
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#include "tensorflow/lite/kernels/kernel_util.h"
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namespace tflite {
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namespace resource {
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TfLiteStatus CacheBuffer::Initialize(const TfLiteIntArray& shape) {
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// Set the dims and allocate the memory.
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dims_ = TfLiteIntArrayCopy(&shape);
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const size_t buf_size = NumElements(&shape);
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buffer_.reset(new float[buf_size]);
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memset(buffer_.get(), 0, sizeof(float) * buf_size);
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num_entries_.reset(new size_t[shape.data[1]]);
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memset(num_entries_.get(), 0, sizeof(size_t) * shape.data[1]);
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is_initialized_ = true;
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return kTfLiteOk;
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}
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size_t CacheBuffer::GetSize() { return sizeof(float) * NumElements(dims_); }
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size_t CacheBuffer::GetNumEntries(int idx) const { return num_entries_[idx]; }
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CacheBuffer::~CacheBuffer() { TfLiteIntArrayFree(dims_); }
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float* CacheBuffer::GetBuffer() { return buffer_.get(); }
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void CacheBuffer::SetNumEntries(int idx, size_t count) {
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TFLITE_DCHECK(count <= dims_->data[2]);
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num_entries_[idx] = count;
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}
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} // namespace resource
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} // namespace tflite
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