forked from huawei/mindspore2022
[MSLITE] mirror pad op
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f02541b8ed
commit
1f3e66efd2
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@ -44,6 +44,19 @@ static inline bool isMulOverflow(int32_t x, int32_t y) {
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int32_t p = x * y;
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return (x != 0) && (p / x != y);
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}
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static inline int GetStride(int *strides, const int *shape, int length) {
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if (length <= 0) {
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return 1;
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}
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int stride = 1;
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for (int i = length - 1; i >= 0; --i) {
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strides[i] = stride;
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stride *= shape[i];
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}
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return stride;
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}
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#ifdef ENABLE_ARM64
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void BiasAdd(const float *bias, float *data, size_t oc4, size_t plan_size);
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void BiasAddRelu6(const float *bias, float *data, size_t oc4, size_t plan_size);
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@ -37,4 +37,10 @@ typedef struct PadParameter {
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PadQuantArg pad_quant_arg_;
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} PadParameter;
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typedef struct MirrorPadBlock {
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int out_offset_;
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int out_stride_[3];
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int size_[3];
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} MirrorPadBlock;
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#endif // MINDSPORE_LITE_NNACL_PAD_PARAMETER_H_
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@ -15,12 +15,8 @@
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*/
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#include "src/runtime/kernel/arm/fp32/pad_fp32.h"
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#include <string>
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#include <cmath>
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#include "src/kernel_registry.h"
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#include "schema/model_generated.h"
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#include "include/errorcode.h"
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#include "nnacl/errorcode.h"
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#include "src/runtime/runtime_api.h"
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using mindspore::kernel::KERNEL_ARCH::kCPU;
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@ -73,6 +69,131 @@ int PadCPUKernel::ReSize() {
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return RET_OK;
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}
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void PadCPUKernel::InitMirrorPadBlock() {
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mirror_pad_block_.clear();
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auto input = in_tensors_.at(0);
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std::vector<int> left_pads(input->shape().size());
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for (size_t i = 0; i < input->shape().size(); ++i) {
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left_pads[i] = pad_param_->paddings_[2 * i];
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}
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std::vector<int> input_seperate_dims;
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std::vector<int> output_seperate_dims;
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std::vector<int> seperate_offset;
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/* init seperate dims */
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int cur_input = 1;
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int cur_output = 1;
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for (size_t i = 0; i < input->shape().size(); ++i) {
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if (in_[i] != out_[i]) {
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if (1 < cur_input) {
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input_seperate_dims.emplace_back(cur_input);
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output_seperate_dims.emplace_back(cur_output);
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seperate_offset.emplace_back(0);
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}
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input_seperate_dims.emplace_back(in_[i]);
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output_seperate_dims.emplace_back(out_[i]);
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seperate_offset.emplace_back(left_pads[i]);
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cur_input = 1;
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cur_output = 1;
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} else {
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cur_input *= in_[i];
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cur_output *= out_[i];
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}
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}
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if (cur_input != 1 || cur_output != 1) {
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input_seperate_dims.emplace_back(cur_input);
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output_seperate_dims.emplace_back(cur_output);
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seperate_offset.emplace_back(0);
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}
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/* init seperate stride */
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std::vector<int> output_seperate_stride;
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output_seperate_stride.resize(output_seperate_dims.size());
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GetStride(output_seperate_stride.data(), output_seperate_dims.data(), output_seperate_dims.size());
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/* init seperate stride */
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std::vector<int> remain_stride;
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int remain_stride_size = seperate_offset.size() > 3 ? static_cast<int>(seperate_offset.size()) - 3 : 0;
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remain_stride.resize(remain_stride_size);
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int remain_size = GetStride(remain_stride.data(), output_seperate_dims.data(), remain_stride.size());
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std::vector<int> right_pads(seperate_offset.size());
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for (size_t i = 0; i < right_pads.size(); ++i) {
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right_pads[i] = output_seperate_dims[i] - input_seperate_dims[i] - seperate_offset[i];
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}
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/* init pad region */
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std::vector<int> pad_region;
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for (size_t i = remain_stride.size(); i < output_seperate_stride.size(); ++i) {
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// 0: center, 1: left, 2: right
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int r = 1;
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if (seperate_offset[i] > 0) {
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r++;
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}
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if (right_pads[i] > 0) {
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r++;
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}
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pad_region.emplace_back(r);
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}
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std::vector<int> pad_region_stride(pad_region.size());
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int region_size = GetStride(pad_region_stride.data(), pad_region.data(), pad_region.size());
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int remain_dim_offset = remain_stride.size();
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std::vector<int> pad_cord(pad_region.size());
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for (int pos = 0; pos < remain_size; ++pos) {
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int dst_basic_offset = 0;
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for (int index = 1; index < region_size; ++index) {
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int dst_offset = dst_basic_offset;
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int value = index;
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for (size_t i = 0; i < pad_region.size(); ++i) {
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pad_cord[i] = value / pad_region_stride[i];
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value = value % pad_region_stride[i];
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}
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MirrorPadBlock block;
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int size_offset = 3 - static_cast<int>(pad_region.size());
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for (size_t i = 0; i < pad_region.size(); ++i) {
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int di = size_offset + i;
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int si = remain_dim_offset + i;
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switch (pad_cord[i]) {
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case 0:
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dst_offset += seperate_offset[si] * output_seperate_stride[si];
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block.size_[di] = input_seperate_dims[si];
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block.out_stride_[di] = output_seperate_stride[si];
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break;
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case 2:
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dst_offset += (seperate_offset[si] + input_seperate_dims[si]) * output_seperate_stride[si];
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block.size_[di] = right_pads[si];
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block.out_stride_[di] = output_seperate_stride[si];
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break;
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case 1:
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if (seperate_offset[si] > 0) {
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block.size_[di] = seperate_offset[si];
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block.out_stride_[di] = output_seperate_stride[si];
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} else {
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dst_offset += (seperate_offset[si] + input_seperate_dims[si]) * output_seperate_stride[si];
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block.size_[di] = right_pads[si];
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block.out_stride_[di] = output_seperate_stride[si];
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}
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break;
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default:
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break;
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}
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}
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block.out_offset_ = dst_offset;
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mirror_pad_block_.push_back(std::move(block));
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}
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}
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return;
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}
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int PadCPUKernel::ExtendShape(int *shape, int length, const int *ori_shape, int rank) {
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if (shape == nullptr || ori_shape == nullptr) {
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return RET_NULL_PTR;
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@ -139,6 +260,27 @@ int PadCPUKernel::RunMirrorPadImpl(int task_id) {
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auto input_data = reinterpret_cast<float *>(input->MutableData());
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auto output_data = reinterpret_cast<float *>(output->MutableData());
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/* Fast Mirror pad */
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if (mirror_pad_block_.size() != 0) {
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/* copy center part */
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Pad(input_data, output_data, in_, out_, pad_param_->paddings_, task_id, context_->thread_num_);
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/* calculate region part */
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for (size_t i = task_id; i < mirror_pad_block_.size(); i += context_->thread_num_) {
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auto block = mirror_pad_block_[i];
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for (int a = 0; a < block.size_[0]; a++) {
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int out_a_index = block.out_offset_ + a * block.out_stride_[0];
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for (int b = 0; b < block.size_[1]; b++) {
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int output_index = out_a_index + b * block.out_stride_[1];
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MirrorPad(input_data, output_data, in_, pad_param_, output_index, output_index + block.size_[2]);
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}
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}
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}
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return RET_OK;
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}
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/* Common Mirror pad */
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int unit = UP_DIV(output->ElementsNum(), context_->thread_num_);
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int begin = unit * task_id;
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int end = MSMIN(begin + unit, output->ElementsNum());
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@ -235,6 +377,8 @@ int PadCPUKernel::HandleMirrorPad() {
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}
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CalculateStrides();
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pad_param_->mirror_offset_ = pad_param_->pad_mode_ == static_cast<int>(schema::PaddingMode_REFLECT) ? 1 : 0;
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InitMirrorPadBlock();
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return RET_OK;
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}
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@ -17,9 +17,14 @@
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#define MINDSPORE_LITE_SRC_RUNTIME_KERNEL_ARM_FP32_PAD_H_
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#include <vector>
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#include "src/lite_kernel.h"
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#include <string>
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#include <cmath>
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#include <utility>
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#include "include/errorcode.h"
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#include "nnacl/fp32/pad_fp32.h"
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#include "nnacl/errorcode.h"
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#include "nnacl/common_func.h"
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#include "src/lite_kernel.h"
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#include "src/runtime/kernel/arm/base/layout_transform.h"
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namespace mindspore::kernel {
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@ -46,12 +51,14 @@ class PadCPUKernel : public LiteKernel {
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void CalculateStrides();
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int ExtendShape(int *shape, int length, const int *ori_shape, int rank);
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int ExtendPaddings(int *paddings, int length, const int *ori_paddings, int ori_length);
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void InitMirrorPadBlock();
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protected:
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int HandleMirrorPad();
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PadParameter *pad_param_ = nullptr;
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int in_[4] = {0};
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int out_[4] = {0};
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std::vector<MirrorPadBlock> mirror_pad_block_;
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};
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int PadImpl(void *cdata, int task_id);
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