wehub-resource-sync
103 lines
3.5 KiB
C++
103 lines
3.5 KiB
C++
// Copyright 2021 Google LLC
|
|
//
|
|
// Licensed under the Apache License, Version 2.0 (the "License");
|
|
// you may not use this file except in compliance with the License.
|
|
// You may obtain a copy of the License at
|
|
//
|
|
// http://www.apache.org/licenses/LICENSE-2.0
|
|
//
|
|
// Unless required by applicable law or agreed to in writing, software
|
|
// distributed under the License is distributed on an "AS IS" BASIS,
|
|
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
// See the License for the specific language governing permissions and
|
|
// limitations under the License.
|
|
|
|
#include <cmath>
|
|
|
|
#include "tensorflow/lite/core/c/common.h"
|
|
#include "tensorflow/lite/kernels/custom_ops_register.h"
|
|
#include "tensorflow/lite/kernels/internal/tensor_ctypes.h"
|
|
#include "tensorflow/lite/kernels/kernel_util.h"
|
|
|
|
namespace tflite {
|
|
namespace ops {
|
|
namespace custom {
|
|
namespace atan2 {
|
|
|
|
TfLiteStatus EnsureSameShape(TfLiteContext* context, const TfLiteTensor* a,
|
|
const TfLiteTensor* b) {
|
|
TF_LITE_ENSURE_EQ(context, tflite::NumDimensions(a),
|
|
tflite::NumDimensions(b));
|
|
|
|
return TfLiteStatus::kTfLiteOk;
|
|
}
|
|
|
|
TfLiteStatus Atan2Prepare(TfLiteContext* context, TfLiteNode* node) {
|
|
TF_LITE_ENSURE_EQ(context, tflite::NumInputs(node), 2);
|
|
TF_LITE_ENSURE_EQ(context, tflite::NumOutputs(node), 1);
|
|
|
|
const TfLiteTensor* input_y = tflite::GetInput(context, node, 0);
|
|
const TfLiteTensor* input_x = tflite::GetInput(context, node, 1);
|
|
TfLiteTensor* output = tflite::GetOutput(context, node, 0);
|
|
|
|
// Validate size and type constraints
|
|
TF_LITE_ENSURE_OK(context, EnsureSameShape(context, input_y, input_x));
|
|
TF_LITE_ENSURE_TYPES_EQ(context, input_y->type, input_x->type);
|
|
TF_LITE_ENSURE_TYPES_EQ(context, input_y->type, output->type);
|
|
TF_LITE_ENSURE(context, input_y->type == kTfLiteFloat32 ||
|
|
input_y->type == kTfLiteFloat64);
|
|
|
|
TfLiteIntArray* output_shape = TfLiteIntArrayCopy(input_y->dims);
|
|
|
|
return context->ResizeTensor(context, output, output_shape);
|
|
}
|
|
|
|
template <typename Float>
|
|
TfLiteStatus Atan2(const TfLiteTensor* input_y, const TfLiteTensor* input_x,
|
|
TfLiteTensor* output) {
|
|
const Float* data_y = tflite::GetTensorData<Float>(input_y);
|
|
const Float* data_x = tflite::GetTensorData<Float>(input_x);
|
|
Float* data_output = tflite::GetTensorData<Float>(output);
|
|
|
|
const int64_t num_elements = NumElements(input_y);
|
|
for (int64_t i = 0; i < num_elements; ++i) {
|
|
data_output[i] = std::atan2(data_y[i], data_x[i]);
|
|
}
|
|
|
|
return TfLiteStatus::kTfLiteOk;
|
|
}
|
|
|
|
TfLiteStatus Atan2Eval(TfLiteContext* context, TfLiteNode* node) {
|
|
const TfLiteTensor* input_y = tflite::GetInput(context, node, 0);
|
|
const TfLiteTensor* input_x = tflite::GetInput(context, node, 1);
|
|
TfLiteTensor* output = tflite::GetOutput(context, node, 0);
|
|
|
|
switch (output->type) {
|
|
case kTfLiteFloat32:
|
|
TF_LITE_ENSURE_OK(context, Atan2<float>(input_y, input_x, output));
|
|
break;
|
|
case kTfLiteFloat64:
|
|
TF_LITE_ENSURE_OK(context, Atan2<double>(input_y, input_x, output));
|
|
break;
|
|
default: {
|
|
TF_LITE_KERNEL_LOG(context, "Unsupported datatype for atan2 output: %s",
|
|
TfLiteTypeGetName(output->type));
|
|
return TfLiteStatus::kTfLiteError;
|
|
}
|
|
}
|
|
|
|
return TfLiteStatus::kTfLiteOk;
|
|
}
|
|
|
|
} // namespace atan2
|
|
|
|
TfLiteRegistration* Register_ATAN2() {
|
|
static TfLiteRegistration r = {nullptr, nullptr, atan2::Atan2Prepare,
|
|
atan2::Atan2Eval};
|
|
return &r;
|
|
}
|
|
|
|
} // namespace custom
|
|
} // namespace ops
|
|
} // namespace tflite
|