73 lines
2.4 KiB
C++
73 lines
2.4 KiB
C++
/* 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_DELEGATES_FLEX_KERNEL_H_
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#define TENSORFLOW_LITE_DELEGATES_FLEX_KERNEL_H_
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#include <memory>
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#include "tensorflow/core/platform/status.h"
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#include "tensorflow/core/tfrt/fallback/op_kernel_runner.h"
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#include "tensorflow/lite/core/c/common.h"
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#include "tensorflow/lite/delegates/utils/simple_delegate.h"
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namespace tflite {
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namespace flex {
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namespace testing {
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class KernelTest; // friend class declaration.
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} // namespace testing
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struct OpData;
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struct OpNode;
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class DelegateKernel : public SimpleDelegateKernelInterface {
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public:
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DelegateKernel();
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~DelegateKernel() override;
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TfLiteStatus Init(TfLiteContext* context,
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const TfLiteDelegateParams* params) override;
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TfLiteStatus Prepare(TfLiteContext* context, TfLiteNode* node) override;
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TfLiteStatus Eval(TfLiteContext* context, TfLiteNode* node) override;
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private:
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friend class tflite::flex::testing::KernelTest;
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// Validates that the computed output tensor shape for the Flex node matches
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// the existing output shape assigned to the output tensor.
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TfLiteStatus ValidateOutputTensorShapeConsistency(
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TfLiteContext* context) const;
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// Executes the Tensorflow op based on the inputs/outputs/attributes
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// information represented in the `node_data`.
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absl::Status ExecuteOpKernelRunner(
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tensorflow::tfrt_stub::OpKernelRunState* run_state,
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TfLiteContext* context, OpNode* node_data);
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// Returns the tensor release map held in `op_data_`;
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const std::map<int, int>& GetTensorReleaseMap() const;
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std::unique_ptr<OpData> op_data_;
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// Indicates that the output shapes may be inferred using the input shapes and
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// May be allocated during Prepare.
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bool shapes_are_valid_ = true;
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};
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} // namespace flex
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} // namespace tflite
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#endif // TENSORFLOW_LITE_DELEGATES_FLEX_KERNEL_H_
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