wehub-resource-sync
103 lines
3.7 KiB
C++
103 lines
3.7 KiB
C++
/* Copyright 2020 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/core/c/common.h"
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#include "tensorflow/lite/kernels/internal/common.h"
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#include "tensorflow/lite/kernels/internal/reference/integer_ops/lut.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 table {
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constexpr int kInputTensor = 0;
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constexpr int kTable = 1;
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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), 2);
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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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const TfLiteTensor* table;
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TF_LITE_ENSURE_OK(context, GetInputSafe(context, node, kTable, &table));
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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(context,
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input->type == kTfLiteInt8 || input->type == kTfLiteInt16);
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TF_LITE_ENSURE_TYPES_EQ(context, input->type, output->type);
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TF_LITE_ENSURE_TYPES_EQ(context, output->type, table->type);
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if (input->type == kTfLiteInt16) {
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TF_LITE_ENSURE_EQ(context, input->params.zero_point, 0);
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TF_LITE_ENSURE_EQ(context, output->params.zero_point, 0);
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}
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TF_LITE_ENSURE_EQ(context, NumDimensions(table), 1);
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if (input->type == kTfLiteInt8) {
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TF_LITE_ENSURE_EQ(context, NumElements(table), LUTSize<int8_t>());
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} else {
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TF_LITE_ENSURE_EQ(context, input->type, kTfLiteInt16);
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TF_LITE_ENSURE_EQ(context, NumElements(table), LUTSize<int16_t>());
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}
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return context->ResizeTensor(context, output,
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TfLiteIntArrayCopy(input->dims));
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}
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TfLiteStatus Eval(TfLiteContext* context, TfLiteNode* node) {
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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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const TfLiteTensor* table;
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TF_LITE_ENSURE_OK(context, GetInputSafe(context, node, kTable, &table));
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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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switch (input->type) {
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case kTfLiteInt8:
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reference_integer_ops::LookupTable(
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GetTensorData<int8_t>(input),
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MatchingFlatSize(GetTensorShape(input), GetTensorShape(output)),
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GetTensorData<int8_t>(table), GetTensorData<int8_t>(output));
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return kTfLiteOk;
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case kTfLiteInt16:
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reference_integer_ops::LookupTable(
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GetTensorData<int16_t>(input),
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MatchingFlatSize(GetTensorShape(input), GetTensorShape(output)),
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GetTensorData<int16_t>(table), GetTensorData<int16_t>(output));
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return kTfLiteOk;
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default:
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TF_LITE_UNSUPPORTED_TYPE(context, input->type, "Table");
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}
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return kTfLiteOk;
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}
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} // namespace table
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TfLiteRegistration* Register_TABLE() {
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static TfLiteRegistration r = {nullptr, nullptr, table::Prepare, table::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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