STT-tensorflow/tensorflow/lite/delegates/flex/kernel.h
Terry Heo 1a2b1d0ae1 Flex delegate: Do not use dynamic tensors if possible
Added ValidateOutputTensorShapeConsistency() function to check if the existing
tensor shapes are consistent. When they're consistent, the Flex delegate will
not use dynamic tensors
since it prevents from using another delegate.

Updated multi_add_flex.bin to use 1-d tensors instead of scalar tensors.

PiperOrigin-RevId: 332992406
Change-Id: Ifaf518cc81cd0adad5d327584a284a50a9f2657b
2020-09-21 20:11:04 -07:00

50 lines
1.7 KiB
C++

/* Copyright 2018 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_DELEGATES_FLEX_KERNEL_H_
#define TENSORFLOW_LITE_DELEGATES_FLEX_KERNEL_H_
#include <memory>
#include "tensorflow/lite/c/common.h"
#include "tensorflow/lite/delegates/utils/simple_delegate.h"
namespace tflite {
namespace flex {
struct OpData;
class DelegateKernel : public SimpleDelegateKernelInterface {
public:
DelegateKernel();
~DelegateKernel() override;
TfLiteStatus Init(TfLiteContext* context,
const TfLiteDelegateParams* params) override;
TfLiteStatus Prepare(TfLiteContext* context, TfLiteNode* node) override;
TfLiteStatus Eval(TfLiteContext* context, TfLiteNode* node) override;
private:
// Validate that the computed output tensor shape for the Flex node matches
// the existing output shape assigned to the output tensor.
TfLiteStatus ValidateOutputTensorShapeConsistency(
TfLiteContext* context) const;
std::unique_ptr<OpData> op_data_;
};
} // namespace flex
} // namespace tflite
#endif // TENSORFLOW_LITE_DELEGATES_FLEX_KERNEL_H_