1970c2158b
As part of ongoing refactoring, `tflite::GetInput`, `tflite::GetOutput`, `tflite::GetTemporary` and `tflite::GetIntermediates` will return `nullptr` in some cases. Hence, we insert the `nullptr` checks on all usages. We also insert `nullptr` checks on usages of `tflite::GetVariableInput` and `tflite::GetOptionalInputTensor` but only in the cases where there is no obvious check that `nullptr` is acceptable (that is, we only insert the check for the output of these two functions if the tensor is accessed as if it is always not `nullptr`). PiperOrigin-RevId: 332521299 Change-Id: I29af455bcb48d0b92e58132d951a3badbd772d56
83 lines
3.1 KiB
C++
83 lines
3.1 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 "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 assign_variable {
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constexpr int kInputVariableId = 0;
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constexpr int kInputValue = 1;
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TfLiteStatus Prepare(TfLiteContext* context, TfLiteNode* node) {
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TF_LITE_ENSURE_EQ(context, NumInputs(node), 2);
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// TODO(b/137042749): TFLite infrastructure (converter, delegate) doesn't
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// fully support 0-output ops yet. Currently it works if we manually crfat
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// a TFLite graph that contains variable ops. Note:
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// * The TFLite Converter need to be changed to be able to produce an op
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// with 0 output.
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// * The delegation code need to be changed to handle 0 output ops. However
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// everything still works fine when variable ops aren't used.
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TF_LITE_ENSURE_EQ(context, NumOutputs(node), 0);
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const TfLiteTensor* input_resource_id_tensor;
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TF_LITE_ENSURE_OK(context, GetInputSafe(context, node, kInputVariableId,
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&input_resource_id_tensor));
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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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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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TF_LITE_ENSURE_OK(context, GetInputSafe(context, node, kInputVariableId,
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&input_resource_id_tensor));
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const TfLiteTensor* input_value_tensor;
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TF_LITE_ENSURE_OK(
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context, GetInputSafe(context, node, kInputValue, &input_value_tensor));
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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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resource::CreateResourceVariableIfNotAvailable(&resources, resource_id);
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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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variable->AssignFrom(input_value_tensor);
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return kTfLiteOk;
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}
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} // namespace assign_variable
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TfLiteRegistration* Register_ASSIGN_VARIABLE() {
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static TfLiteRegistration r = {nullptr, nullptr, assign_variable::Prepare,
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assign_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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