81 lines
2.8 KiB
C++
81 lines
2.8 KiB
C++
/* Copyright 2019 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 <stdint.h>
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#include <string.h>
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#include "tensorflow/lite/c/common.h"
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#include "tensorflow/lite/core/subgraph.h"
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#include "tensorflow/lite/experimental/resource/resource_variable.h"
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#include "tensorflow/lite/kernels/internal/tensor.h"
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#include "tensorflow/lite/kernels/kernel_util.h"
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namespace tflite {
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namespace ops {
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namespace custom {
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namespace read_variable {
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constexpr int kInputVariableId = 0;
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constexpr int kOutputValue = 0;
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TfLiteStatus Prepare(TfLiteContext* context, TfLiteNode* node) {
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TF_LITE_ENSURE_EQ(context, node->inputs->size, 1);
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TF_LITE_ENSURE_EQ(context, node->outputs->size, 1);
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const TfLiteTensor* input_resource_id_tensor =
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GetInput(context, node, kInputVariableId);
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TF_LITE_ENSURE_EQ(context, input_resource_id_tensor->type, kTfLiteInt32);
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TF_LITE_ENSURE_EQ(context, NumElements(input_resource_id_tensor), 1);
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TfLiteTensor* output = GetOutput(context, node, kOutputValue);
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SetTensorToDynamic(output);
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return kTfLiteOk;
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}
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TfLiteStatus Eval(TfLiteContext* context, TfLiteNode* node) {
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Subgraph* subgraph = reinterpret_cast<Subgraph*>(context->impl_);
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const TfLiteTensor* input_resource_id_tensor =
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GetInput(context, node, kInputVariableId);
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int resource_id = input_resource_id_tensor->data.i32[0];
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auto& resources = subgraph->resources();
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auto* variable = resource::GetResourceVariable(&resources, resource_id);
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TF_LITE_ENSURE(context, variable != nullptr);
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TfLiteTensor* variable_tensor = variable->GetTensor();
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TfLiteTensor* output = GetOutput(context, node, kOutputValue);
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TF_LITE_ENSURE_TYPES_EQ(context, variable_tensor->type, output->type);
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TF_LITE_ENSURE_OK(
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context, context->ResizeTensor(
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context, output, TfLiteIntArrayCopy(variable_tensor->dims)));
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memcpy(output->data.raw, variable_tensor->data.raw, output->bytes);
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return kTfLiteOk;
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}
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} // namespace read_variable
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TfLiteRegistration* Register_READ_VARIABLE() {
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static TfLiteRegistration r = {nullptr, nullptr, read_variable::Prepare,
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read_variable::Eval};
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return &r;
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}
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} // namespace custom
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} // namespace ops
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} // namespace tflite
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