mirror of
https://github.com/vee1e/tflite-micro.git
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740cef3881
* Moves common functions to new maximum_minimum.h * Creates cmsis-nn/maximum_minimum.cc BUG=#2752 Change-Id: Ifbb3fedf53043b2f8d4c48d73c2ca44c7f0f87ca
79 lines
2.7 KiB
C++
79 lines
2.7 KiB
C++
/* Copyright 2024 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/kernels/internal/reference/maximum_minimum.h"
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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/common.h"
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#include "tensorflow/lite/kernels/internal/quantization_util.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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#include "tensorflow/lite/kernels/op_macros.h"
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#include "tensorflow/lite/micro/kernels/kernel_util.h"
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#include "tensorflow/lite/micro/kernels/maximum_minimum.h"
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#include "tensorflow/lite/micro/micro_log.h"
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namespace tflite {
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namespace {
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template <KernelType kernel_type, typename OpType>
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TfLiteStatus Eval(TfLiteContext* context, TfLiteNode* node) {
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OpContext op_context(context, node);
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if (kernel_type == kReference) {
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switch (op_context.output->type) {
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case kTfLiteFloat32:
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TFLiteOperation<float, OpType>(context, node, op_context);
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break;
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case kTfLiteInt8:
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TFLiteOperation<int8_t, OpType>(context, node, op_context);
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break;
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case kTfLiteInt16:
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TFLiteOperation<int16_t, OpType>(context, node, op_context);
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break;
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case kTfLiteInt32:
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TFLiteOperation<int32_t, OpType>(context, node, op_context);
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break;
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case kTfLiteInt64:
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TFLiteOperation<int64_t, OpType>(context, node, op_context);
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break;
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default:
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MicroPrintf("Type %s (%d) is not supported by Maximum/Minimum.",
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TfLiteTypeGetName(op_context.output->type),
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op_context.output->type);
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return kTfLiteError;
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}
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} else {
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MicroPrintf("Kernel type not supported by Maximum/Minimum.");
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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
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TFLMRegistration Register_MAXIMUM() {
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return tflite::micro::RegisterOp(nullptr, nullptr,
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Eval<kReference, MaximumOp>);
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}
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TFLMRegistration Register_MINIMUM() {
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return tflite::micro::RegisterOp(nullptr, nullptr,
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Eval<kReference, MinimumOp>);
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}
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} // namespace tflite
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