mirror of
https://github.com/vee1e/tflite-micro.git
synced 2026-09-05 11:47:56 +00:00
2791785562
* Check for the case where the Operators vector in a tflite model is missing Some of our tools remove the vector if it's empty (i.e. the subgraph doesn't contain ops). The check is added until the tools are fixed. BUG=http://b/192589496 * Move NumSubgraphOperators to flatbuffer_utils.h/cc * Fix the CI errors. * Remove `#define FLATBUFFERS_LOCALE_INDEPENDENT 0` We will handle that via the Makefile instead. * Add -DFLATBUFFERS_LOCALE_INDEPENDENT=0 to makefile. * remove references to flatbuffer from kernel_utils.cc/h * Fix the build. * run buildifier Co-authored-by: Advait Jain <advaitjain@google.com> Co-authored-by: Advait Jain <advaitjain@users.noreply.github.com>
86 lines
3.4 KiB
C++
86 lines
3.4 KiB
C++
/* Copyright 2020 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 TENSORFLOW_LITE_MICRO_KERNELS_KERNEL_UTIL_H_
|
|
#define TENSORFLOW_LITE_MICRO_KERNELS_KERNEL_UTIL_H_
|
|
|
|
#include <cstdint>
|
|
|
|
#include "tensorflow/lite/c/builtin_op_data.h"
|
|
#include "tensorflow/lite/c/common.h"
|
|
#include "tensorflow/lite/kernels/internal/compatibility.h"
|
|
#include "tensorflow/lite/kernels/internal/types.h"
|
|
|
|
namespace tflite {
|
|
namespace micro {
|
|
|
|
// Returns a mutable tensor for a given input index. is_variable must be checked
|
|
// during prepare when the full TfLiteTensor is available.
|
|
inline TfLiteEvalTensor* GetMutableEvalInput(const TfLiteContext* context,
|
|
const TfLiteNode* node,
|
|
int index) {
|
|
TFLITE_DCHECK(context != nullptr);
|
|
TFLITE_DCHECK(node != nullptr);
|
|
return context->GetEvalTensor(context, node->inputs->data[index]);
|
|
}
|
|
|
|
// Returns the TfLiteEvalTensor struct for a given input index in a node.
|
|
inline const TfLiteEvalTensor* GetEvalInput(const TfLiteContext* context,
|
|
const TfLiteNode* node, int index) {
|
|
return GetMutableEvalInput(context, node, index);
|
|
}
|
|
|
|
// Returns the TfLiteEvalTensor struct for a given output index in a node.
|
|
inline TfLiteEvalTensor* GetEvalOutput(const TfLiteContext* context,
|
|
const TfLiteNode* node, int index) {
|
|
TFLITE_DCHECK(context != nullptr);
|
|
TFLITE_DCHECK(node != nullptr);
|
|
return context->GetEvalTensor(context, node->outputs->data[index]);
|
|
}
|
|
|
|
// Returns data for a TfLiteEvalTensor struct.
|
|
template <typename T>
|
|
T* GetTensorData(TfLiteEvalTensor* tensor) {
|
|
return tensor != nullptr ? reinterpret_cast<T*>(tensor->data.raw) : nullptr;
|
|
}
|
|
|
|
// Returns const data for a TfLiteEvalTensor struct.
|
|
template <typename T>
|
|
const T* GetTensorData(const TfLiteEvalTensor* tensor) {
|
|
TFLITE_DCHECK(tensor != nullptr);
|
|
return reinterpret_cast<const T*>(tensor->data.raw);
|
|
}
|
|
|
|
// Returns the shape of a TfLiteEvalTensor struct.
|
|
const RuntimeShape GetTensorShape(const TfLiteEvalTensor* tensor);
|
|
|
|
// Return true if the given tensors have the same shape.
|
|
bool HaveSameShapes(const TfLiteEvalTensor* input1,
|
|
const TfLiteEvalTensor* input2);
|
|
|
|
PaddingType RuntimePaddingType(TfLitePadding padding);
|
|
|
|
// Relocate tensor dims from FlatBuffer to the persistent storage arena.
|
|
// The old dims data is copied to the new storage area.
|
|
// The tensor and eval_tensor must be the same tensor.
|
|
// Only use during Prepare phase.
|
|
TfLiteStatus CreateWritableTensorDimsWithCopy(TfLiteContext* context,
|
|
TfLiteTensor* tensor,
|
|
TfLiteEvalTensor* eval_tensor);
|
|
|
|
} // namespace micro
|
|
} // namespace tflite
|
|
|
|
#endif // TENSORFLOW_LITE_MICRO_KERNELS_KERNEL_UTIL_H_
|