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
122 lines
4.4 KiB
C++
122 lines
4.4 KiB
C++
/* Copyright 2017 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 "tensorflow/lite/c/builtin_op_data.h"
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#include "tensorflow/lite/c/common.h"
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#include "tensorflow/lite/kernels/internal/optimized/optimized_ops.h"
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#include "tensorflow/lite/kernels/internal/reference/reference_ops.h"
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#include "tensorflow/lite/kernels/internal/tensor.h"
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#include "tensorflow/lite/kernels/internal/tensor_ctypes.h"
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#include "tensorflow/lite/kernels/internal/types.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 builtin {
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namespace local_response_norm {
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// This file has two implementation of LocalResponseNorm.
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enum KernelType {
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kReference,
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kGenericOptimized,
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};
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constexpr int kInputTensor = 0;
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constexpr int kOutputTensor = 0;
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TfLiteStatus Prepare(TfLiteContext* context, TfLiteNode* node) {
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TF_LITE_ENSURE_EQ(context, NumInputs(node), 1);
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TF_LITE_ENSURE_EQ(context, NumOutputs(node), 1);
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const TfLiteTensor* input;
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TF_LITE_ENSURE_OK(context, GetInputSafe(context, node, kInputTensor, &input));
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TfLiteTensor* output;
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TF_LITE_ENSURE_OK(context,
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GetOutputSafe(context, node, kOutputTensor, &output));
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TF_LITE_ENSURE_EQ(context, NumDimensions(input), 4);
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TF_LITE_ENSURE_TYPES_EQ(context, output->type, kTfLiteFloat32);
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TF_LITE_ENSURE_TYPES_EQ(context, input->type, output->type);
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TfLiteIntArray* output_size = TfLiteIntArrayCreate(4);
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output_size->data[0] = input->dims->data[0];
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output_size->data[1] = input->dims->data[1];
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output_size->data[2] = input->dims->data[2];
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output_size->data[3] = input->dims->data[3];
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return context->ResizeTensor(context, output, output_size);
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}
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template <KernelType kernel_type>
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TfLiteStatus Eval(TfLiteContext* context, TfLiteNode* node) {
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auto* params =
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reinterpret_cast<TfLiteLocalResponseNormParams*>(node->builtin_data);
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const TfLiteTensor* input;
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TF_LITE_ENSURE_OK(context, GetInputSafe(context, node, kInputTensor, &input));
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TfLiteTensor* output;
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TF_LITE_ENSURE_OK(context,
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GetOutputSafe(context, node, kOutputTensor, &output));
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if (output->type == kTfLiteFloat32) {
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#define TF_LITE_LOCAL_RESPONSE_NORM(type) \
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tflite::LocalResponseNormalizationParams op_params; \
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op_params.range = params->radius; \
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op_params.bias = params->bias; \
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op_params.alpha = params->alpha; \
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op_params.beta = params->beta; \
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type::LocalResponseNormalization( \
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op_params, GetTensorShape(input), GetTensorData<float>(input), \
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GetTensorShape(output), GetTensorData<float>(output))
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if (kernel_type == kReference) {
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TF_LITE_LOCAL_RESPONSE_NORM(reference_ops);
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}
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if (kernel_type == kGenericOptimized) {
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TF_LITE_LOCAL_RESPONSE_NORM(optimized_ops);
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}
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#undef TF_LITE_LOCAL_RESPONSE_NORM
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} else {
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context->ReportError(context, "Output type is %d, requires float.",
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output->type);
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return kTfLiteError;
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}
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return kTfLiteOk;
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}
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} // namespace local_response_norm
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TfLiteRegistration* Register_LOCAL_RESPONSE_NORM_REF() {
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static TfLiteRegistration r = {
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nullptr, nullptr, local_response_norm::Prepare,
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local_response_norm::Eval<local_response_norm::kReference>};
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return &r;
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}
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TfLiteRegistration* Register_LOCAL_RESPONSE_NORM_GENERIC_OPT() {
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static TfLiteRegistration r = {
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nullptr, nullptr, local_response_norm::Prepare,
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local_response_norm::Eval<local_response_norm::kGenericOptimized>};
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return &r;
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}
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TfLiteRegistration* Register_LOCAL_RESPONSE_NORMALIZATION() {
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return Register_LOCAL_RESPONSE_NORM_GENERIC_OPT();
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}
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} // namespace builtin
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} // namespace ops
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} // namespace tflite
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