mirror of
https://github.com/vee1e/tflite-micro.git
synced 2026-09-02 02:07:27 +00:00
7a7a3de092
@tensorflow/micro Update PACK with INT16 support. Add INT16 unit tests. This is a copy of PR #2737 bug=fixes #2736
116 lines
3.6 KiB
C++
116 lines
3.6 KiB
C++
/* Copyright 2025 The TensorFlow Authors. All Rights Reserved.
|
|
|
|
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 "tensorflow/lite/c/builtin_op_data.h"
|
|
#include "tensorflow/lite/c/common.h"
|
|
#include "tensorflow/lite/kernels/internal/tensor_ctypes.h"
|
|
#include "tensorflow/lite/micro/kernels/kernel_util.h"
|
|
#include "tensorflow/lite/micro/micro_log.h"
|
|
|
|
namespace tflite {
|
|
|
|
namespace {
|
|
|
|
constexpr int kOutputTensor = 0;
|
|
|
|
template <typename T>
|
|
TfLiteStatus PackImpl(TfLiteContext* context, TfLiteNode* node,
|
|
TfLiteEvalTensor* output, int values_count, int axis) {
|
|
const TfLiteEvalTensor* input0 =
|
|
tflite::micro::GetEvalInput(context, node, 0);
|
|
|
|
const int dimensions = output->dims->size;
|
|
const TfLiteIntArray* input_dims = input0->dims;
|
|
const TfLiteIntArray* output_dims = output->dims;
|
|
|
|
if (axis < 0) {
|
|
axis += dimensions;
|
|
}
|
|
|
|
int outer_size = 1;
|
|
for (int i = 0; i < axis; ++i) {
|
|
outer_size *= output_dims->data[i];
|
|
}
|
|
int copy_size = 1;
|
|
for (int i = axis + 1; i < dimensions; ++i) {
|
|
copy_size *= output_dims->data[i];
|
|
}
|
|
int input_size = 1;
|
|
for (int i = 0; i < input_dims->size; ++i) {
|
|
input_size *= input_dims->data[i];
|
|
}
|
|
TFLITE_DCHECK_EQ(input_size, copy_size * outer_size);
|
|
|
|
T* output_data = tflite::micro::GetTensorData<T>(output);
|
|
|
|
for (int i = 0; i < values_count; ++i) {
|
|
const TfLiteEvalTensor* t = tflite::micro::GetEvalInput(context, node, i);
|
|
const T* input_data = tflite::micro::GetTensorData<T>(t);
|
|
for (int k = 0; k < outer_size; ++k) {
|
|
const T* input_ptr = input_data + copy_size * k;
|
|
int loc = k * values_count * copy_size + i * copy_size;
|
|
T* output_ptr = output_data + loc;
|
|
for (int j = 0; j < copy_size; ++j) output_ptr[j] = input_ptr[j];
|
|
}
|
|
}
|
|
|
|
return kTfLiteOk;
|
|
}
|
|
|
|
TfLiteStatus PackEval(TfLiteContext* context, TfLiteNode* node) {
|
|
const TfLitePackParams* data =
|
|
reinterpret_cast<TfLitePackParams*>(node->builtin_data);
|
|
|
|
TfLiteEvalTensor* output =
|
|
tflite::micro::GetEvalOutput(context, node, kOutputTensor);
|
|
|
|
switch (output->type) {
|
|
case kTfLiteFloat32: {
|
|
return PackImpl<float>(context, node, output, data->values_count,
|
|
data->axis);
|
|
}
|
|
case kTfLiteInt8: {
|
|
return PackImpl<int8_t>(context, node, output, data->values_count,
|
|
data->axis);
|
|
}
|
|
case kTfLiteInt16: {
|
|
return PackImpl<int16_t>(context, node, output, data->values_count,
|
|
data->axis);
|
|
}
|
|
case kTfLiteInt32: {
|
|
return PackImpl<int32_t>(context, node, output, data->values_count,
|
|
data->axis);
|
|
}
|
|
case kTfLiteInt64: {
|
|
return PackImpl<int64_t>(context, node, output, data->values_count,
|
|
data->axis);
|
|
}
|
|
default: {
|
|
MicroPrintf("Type '%s' is not supported by pack.",
|
|
TfLiteTypeGetName(output->type));
|
|
return kTfLiteError;
|
|
}
|
|
}
|
|
|
|
return kTfLiteOk;
|
|
}
|
|
|
|
} // namespace
|
|
|
|
TFLMRegistration Register_PACK() {
|
|
return tflite::micro::RegisterOp(nullptr, nullptr, PackEval);
|
|
}
|
|
|
|
} // namespace tflite
|