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/* Copyright 2017 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.
==============================================================================*/
#ifndef TENSORFLOW_COMPILER_MLIR_KERNELS_PADDING_H_
#define TENSORFLOW_COMPILER_MLIR_KERNELS_PADDING_H_
typedef enum {
kTfLitePaddingUnknown = 0,
kTfLitePaddingSame,
kTfLitePaddingValid,
} TfLitePadding;
// LINT.IfChange
namespace tflite_migration {
// Matching GetWindowedOutputSize in TensorFlow.
inline int ComputeOutSize(TfLitePadding padding, int image_size,
int filter_size, int stride, int dilation_rate = 1) {
int effective_filter_size = (filter_size - 1) * dilation_rate + 1;
// TODO(b/186448822): This uses 0 since the function has no other way to
// report error case
if (stride == 0) return 0;
switch (padding) {
case kTfLitePaddingSame:
return (image_size + stride - 1) / stride;
case kTfLitePaddingValid:
return (image_size + stride - effective_filter_size) / stride;
default:
return 0;
}
}
// It's not guaranteed that padding is symmetric. It's important to keep
// offset for algorithms need all paddings.
inline int ComputePaddingWithOffset(int stride, int dilation_rate, int in_size,
int filter_size, int out_size,
int* offset) {
int effective_filter_size = (filter_size - 1) * dilation_rate + 1;
int total_padding =
((out_size - 1) * stride + effective_filter_size - in_size);
total_padding = total_padding > 0 ? total_padding : 0;
*offset = total_padding % 2;
return total_padding / 2;
}
} // namespace tflite_migration
// LINT.ThenChange(//tensorflow/lite/kernels/padding.h)
#endif // TENSORFLOW_COMPILER_MLIR_KERNELS_PADDING_H_