140 lines
4.8 KiB
C++
140 lines
4.8 KiB
C++
/* Copyright 2018 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/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/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 reverse {
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namespace {
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constexpr int kInputTensor = 0;
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constexpr int kAxisTensor = 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 = GetInput(context, node, kInputTensor);
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const TfLiteTensor* axis = GetInput(context, node, kAxisTensor);
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TF_LITE_ENSURE_EQ(context, NumDimensions(axis), 1);
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TF_LITE_ENSURE(context, NumDimensions(input) >= NumElements(axis));
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if (input->type != kTfLiteInt32 && input->type != kTfLiteFloat32 &&
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input->type != kTfLiteUInt8 && input->type != kTfLiteInt16 &&
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input->type != kTfLiteInt64 && input->type != kTfLiteBool) {
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context->ReportError(context, "Type '%s' is not supported by reverse.",
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TfLiteTypeGetName(input->type));
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return kTfLiteError;
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}
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if (axis->type != kTfLiteInt32) {
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context->ReportError(context, "Axis Type '%s' is not supported by reverse.",
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TfLiteTypeGetName(axis->type));
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return kTfLiteError;
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}
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// TODO(renjieliu): support multi-axis case.
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if (NumElements(axis) > 1) {
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context->ReportError(context, "Current does not support more than 1 axis.");
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}
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TfLiteTensor* output = GetOutput(context, node, kOutputTensor);
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TfLiteIntArray* output_shape = TfLiteIntArrayCopy(input->dims);
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TF_LITE_ENSURE_TYPES_EQ(context, output->type, input->type);
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return context->ResizeTensor(context, output, output_shape);
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}
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TfLiteStatus Eval(TfLiteContext* context, TfLiteNode* node) {
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const TfLiteTensor* input = GetInput(context, node, kInputTensor);
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const TfLiteTensor* axis_tensor = GetInput(context, node, kAxisTensor);
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int axis = GetTensorData<int32_t>(axis_tensor)[0];
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const int rank = NumDimensions(input);
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if (axis < 0) {
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axis += rank;
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}
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TF_LITE_ENSURE(context, axis >= 0 && axis < rank);
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TfLiteTensor* output = GetOutput(context, node, kOutputTensor);
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switch (output->type) {
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case kTfLiteFloat32: {
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reference_ops::Reverse<float>(
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axis, GetTensorShape(input), GetTensorData<float>(input),
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GetTensorShape(output), GetTensorData<float>(output));
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break;
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}
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case kTfLiteUInt8: {
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reference_ops::Reverse<uint8_t>(
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axis, GetTensorShape(input), GetTensorData<uint8_t>(input),
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GetTensorShape(output), GetTensorData<uint8_t>(output));
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break;
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}
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case kTfLiteInt16: {
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reference_ops::Reverse<int16_t>(
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axis, GetTensorShape(input), GetTensorData<int16_t>(input),
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GetTensorShape(output), GetTensorData<int16_t>(output));
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break;
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}
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case kTfLiteInt32: {
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reference_ops::Reverse<int32_t>(
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axis, GetTensorShape(input), GetTensorData<int32_t>(input),
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GetTensorShape(output), GetTensorData<int32_t>(output));
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break;
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}
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case kTfLiteInt64: {
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reference_ops::Reverse<int64_t>(
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axis, GetTensorShape(input), GetTensorData<int64_t>(input),
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GetTensorShape(output), GetTensorData<int64_t>(output));
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break;
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}
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case kTfLiteBool: {
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reference_ops::Reverse<bool>(
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axis, GetTensorShape(input), GetTensorData<bool>(input),
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GetTensorShape(output), GetTensorData<bool>(output));
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break;
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}
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default: {
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context->ReportError(context, "Type '%s' is not supported by reverse.",
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TfLiteTypeGetName(output->type));
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return kTfLiteError;
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}
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}
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return kTfLiteOk;
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}
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} // namespace
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} // namespace reverse
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TfLiteRegistration* Register_REVERSE_V2() {
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static TfLiteRegistration r = {nullptr, nullptr, reverse::Prepare,
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reverse::Eval};
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return &r;
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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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