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conv_transpose_unpool_base_op.h
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conv_transpose_unpool_base_op.h
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#pragma once
#include "caffe2/ideep/ideep_utils.h"
#include "caffe2/proto/caffe2_legacy.pb.h"
using namespace caffe2;
namespace {
class IDEEPConvTransposeUnpoolBase : public IDEEPOperator {
public:
USE_IDEEP_DEF_ALIASES();
USE_IDEEP_OPERATOR_FUNCTIONS();
IDEEPConvTransposeUnpoolBase(const OperatorDef& operator_def, Workspace* ws)
: IDEEPOperator(operator_def, ws),
legacy_pad_(
static_cast<LegacyPadding>(OperatorBase::GetSingleArgument<int>(
"legacy_pad",
LegacyPadding::NOTSET))),
kernel_(OperatorBase::GetRepeatedArgument<int>("kernels")),
stride_(OperatorBase::GetRepeatedArgument<int>("strides")),
pads_(OperatorBase::GetRepeatedArgument<int>("pads")),
adj_(OperatorBase::GetRepeatedArgument<int>("adjs")),
shared_buffer_(
OperatorBase::GetSingleArgument<int>("shared_buffer", 0)) {
// For the padding, they should either be the legacy padding strategy
// (VALID or SAME), or an explicit, non-negative value.
if (legacy_pad_ == LegacyPadding::VALID ||
legacy_pad_ == LegacyPadding::SAME) {
CAFFE_ENFORCE(
!OperatorBase::HasArgument("pads"),
"If you use legacy padding VALID or SAME, you should not specify "
"any specific padding values.");
}
// Get old arguments values.
if (OperatorBase::HasArgument("kernel")) {
kernel_.resize(2, OperatorBase::GetSingleArgument<int>("kernel", 0));
} else if (
OperatorBase::HasArgument("kernel_h") &&
OperatorBase::HasArgument("kernel_w")) {
kernel_.push_back(OperatorBase::GetSingleArgument<int>("kernel_h", 0));
kernel_.push_back(OperatorBase::GetSingleArgument<int>("kernel_w", 0));
}
if (OperatorBase::HasArgument("stride")) {
stride_.resize(2, OperatorBase::GetSingleArgument<int>("stride", 0));
} else if (
OperatorBase::HasArgument("stride_h") &&
OperatorBase::HasArgument("stride_w")) {
stride_.push_back(OperatorBase::GetSingleArgument<int>("stride_h", 0));
stride_.push_back(OperatorBase::GetSingleArgument<int>("stride_w", 0));
}
if (OperatorBase::HasArgument("adj")) {
adj_.resize(2, OperatorBase::GetSingleArgument<int>("adj", 0));
} else if (
OperatorBase::HasArgument("adj_h") &&
OperatorBase::HasArgument("adj_w")) {
adj_.push_back(OperatorBase::GetSingleArgument<int>("adj_h", 0));
adj_.push_back(OperatorBase::GetSingleArgument<int>("adj_w", 0));
}
if (OperatorBase::HasArgument("pad")) {
CAFFE_ENFORCE(
legacy_pad_ != LegacyPadding::VALID &&
legacy_pad_ != LegacyPadding::SAME,
"If you use legacy padding VALID or SAME, you should not specify "
"any specific padding values.");
pads_.resize(4, OperatorBase::GetSingleArgument<int>("pad", 0));
} else if (
OperatorBase::HasArgument("pad_t") &&
OperatorBase::HasArgument("pad_l") &&
OperatorBase::HasArgument("pad_b") &&
OperatorBase::HasArgument("pad_r")) {
CAFFE_ENFORCE(
legacy_pad_ != LegacyPadding::VALID &&
legacy_pad_ != LegacyPadding::SAME,
"If you use legacy padding VALID or SAME, you should not specify "
"any specific padding values.");
pads_.push_back(OperatorBase::GetSingleArgument<int>("pad_t", 0));
pads_.push_back(OperatorBase::GetSingleArgument<int>("pad_l", 0));
pads_.push_back(OperatorBase::GetSingleArgument<int>("pad_b", 0));
pads_.push_back(OperatorBase::GetSingleArgument<int>("pad_r", 0));
}
// Fill default values.
if (kernel_.empty()) {
kernel_.assign({0, 0});
}
if (stride_.empty()) {
stride_.assign(kernel_.size(), 1);
}
if (pads_.empty()) {
pads_.assign(kernel_.size() * 2, 0);
}
if (adj_.empty()) {
adj_.assign(kernel_.size(), 0);
}
CAFFE_ENFORCE_EQ(stride_.size(), kernel_.size());
CAFFE_ENFORCE_EQ(adj_.size(), kernel_.size());
if (legacy_pad_ != LegacyPadding::VALID &&
legacy_pad_ != LegacyPadding::SAME) {
CAFFE_ENFORCE_EQ(pads_.size(), 2 * kernel_.size());
}
for (int dim = 0; dim < kernel_.size(); ++dim) {
CAFFE_ENFORCE_GT(kernel_[dim], 0);
CAFFE_ENFORCE_GT(stride_[dim], 0);
CAFFE_ENFORCE_GE(adj_[dim], 0);
CAFFE_ENFORCE_LE(adj_[dim], stride_[dim]);
}
}
virtual ~IDEEPConvTransposeUnpoolBase() {}
const ideep::tensor& Input(int index) {
return OperatorBase::template Input<ideep::tensor>(index);
}
ideep::tensor* Output(int index) {
return OperatorBase::template Output<ideep::tensor>(index);
}
ideep::tensor::dims pad_tl() const {
return {pad_t(), pad_l()};
}
ideep::tensor::dims pad_br() const {
return {pad_b(), pad_r()};
}
ideep::tensor::dims CalcOutputDims(
const ideep::tensor& input,
int output_channel) {
CAFFE_ENFORCE_GT(input.get_size(), 0);
int N = input.get_dim(0);
ideep::tensor::dims output_dims;
auto input_dims = input.get_dims();
itensor::dims dims;
dims.assign(input_dims.begin() + 2, input_dims.end());
for (int dim = 0; dim < dims.size(); ++dim) {
int dim_size = 0;
ComputeSizeAndPad(
dims[dim],
stride_[dim],
kernel_[dim],
adj_[dim],
&pads_[dim],
&pads_[dim + 2],
&dim_size);
output_dims.push_back(dim_size);
}
output_dims.insert(output_dims.begin(), {N, output_channel});
return output_dims;
}
bool RunOnDevice() override {
try {
return RunOnDeviceWithOrderNCHW();
} catch (ideep::error& e) {
LOG(ERROR) << "IDEEP error:" << e.message;
throw;
}
}
virtual bool RunOnDeviceWithOrderNCHW() {
CAFFE_THROW("Not implemented");
}
private:
LegacyPadding legacy_pad_;
int pad_;
protected:
vector<int> kernel_;
vector<int> stride_;
vector<int> pads_;
vector<int> adj_;
bool shared_buffer_;
// Accessors for 2D conv params.
inline int pad_t() const {
return pads_[0];
}
inline int pad_l() const {
return pads_[1];
}
inline int pad_b() const {
return pads_[2];
}
inline int pad_r() const {
return pads_[3];
}
inline int kernel_h() const {
return kernel_[0];
}
inline int kernel_w() const {
return kernel_[1];
}
inline int stride_h() const {
return stride_[0];
}
inline int stride_w() const {
return stride_[1];
}
inline int adj_h() const {
return adj_[0];
}
inline int adj_w() const {
return adj_[1];
}
inline void ComputeSizeAndPad(
const int in_size,
const int stride,
const int kernel,
const int adj,
int* pad_head,
int* pad_tail,
int* out_size) {
switch (legacy_pad_) {
case LegacyPadding::NOTSET:
CAFFE_ENFORCE_GE(*pad_head, 0);
CAFFE_ENFORCE_GE(*pad_tail, 0);
*out_size =
(in_size - 1) * stride + kernel + adj - *pad_head - *pad_tail;
break;
// We handle cases of LegacyPadding::VALID and LegacyPadding::SAME
// the same way
case LegacyPadding::VALID:
case LegacyPadding::SAME:
*pad_head = 0;
*pad_tail = 0;
*out_size = (in_size - 1) * stride + kernel + adj;
break;
case LegacyPadding::CAFFE_LEGACY_POOLING:
LOG(FATAL) << "CAFFE_LEGACY_POOLING is no longer supported.";
break;
}
}
};
#define USE_IDEEP_CONV_TRANSPOSE_UNPOOL_BASE_FUNCTIONS() \
USE_OPERATOR_BASE_FUNCTIONS; \
/* using override */ using IDEEPConvTransposeUnpoolBase::Input; \
/* using override */ using IDEEPConvTransposeUnpoolBase::Output;
} // namespace