79 lines
2.9 KiB
C++
79 lines
2.9 KiB
C++
/* Copyright 2019 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.
|
|
==============================================================================*/
|
|
|
|
#include <stdint.h>
|
|
|
|
#include "tensorflow/lite/c/common.h"
|
|
#include "tensorflow/lite/core/subgraph.h"
|
|
#include "tensorflow/lite/experimental/resource/resource_variable.h"
|
|
#include "tensorflow/lite/kernels/internal/tensor.h"
|
|
#include "tensorflow/lite/kernels/kernel_util.h"
|
|
|
|
namespace tflite {
|
|
namespace ops {
|
|
namespace custom {
|
|
namespace assign_variable {
|
|
|
|
constexpr int kInputVariableId = 0;
|
|
constexpr int kInputValue = 1;
|
|
|
|
TfLiteStatus Prepare(TfLiteContext* context, TfLiteNode* node) {
|
|
TF_LITE_ENSURE_EQ(context, NumInputs(node), 2);
|
|
// TODO(b/137042749): TFLite infrastructure (converter, delegate) doesn't
|
|
// fully support 0-output ops yet. Currently it works if we manually crfat
|
|
// a TFLite graph that contains variable ops. Note:
|
|
// * The TFLite Converter need to be changed to be able to produce an op
|
|
// with 0 output.
|
|
// * The delegation code need to be changed to handle 0 output ops. However
|
|
// everything still works fine when variable ops aren't used.
|
|
TF_LITE_ENSURE_EQ(context, NumOutputs(node), 0);
|
|
|
|
const TfLiteTensor* input_resource_id_tensor =
|
|
GetInput(context, node, kInputVariableId);
|
|
TF_LITE_ENSURE_EQ(context, input_resource_id_tensor->type, kTfLiteInt32);
|
|
TF_LITE_ENSURE_EQ(context, NumElements(input_resource_id_tensor), 1);
|
|
|
|
return kTfLiteOk;
|
|
}
|
|
|
|
TfLiteStatus Eval(TfLiteContext* context, TfLiteNode* node) {
|
|
Subgraph* subgraph = reinterpret_cast<Subgraph*>(context->impl_);
|
|
|
|
const TfLiteTensor* input_resource_id_tensor =
|
|
GetInput(context, node, kInputVariableId);
|
|
const TfLiteTensor* input_value_tensor = GetInput(context, node, kInputValue);
|
|
|
|
int resource_id = input_resource_id_tensor->data.i32[0];
|
|
auto& resources = subgraph->resources();
|
|
resource::CreateResourceVariableIfNotAvailable(&resources, resource_id);
|
|
auto* variable = resource::GetResourceVariable(&resources, resource_id);
|
|
TF_LITE_ENSURE(context, variable != nullptr);
|
|
variable->AssignFrom(input_value_tensor);
|
|
|
|
return kTfLiteOk;
|
|
}
|
|
|
|
} // namespace assign_variable
|
|
|
|
TfLiteRegistration* Register_ASSIGN_VARIABLE() {
|
|
static TfLiteRegistration r = {nullptr, nullptr, assign_variable::Prepare,
|
|
assign_variable::Eval};
|
|
return &r;
|
|
}
|
|
|
|
} // namespace custom
|
|
} // namespace ops
|
|
} // namespace tflite
|