7 #ifndef MSHADOW_EXTENSION_CHANNEL_UNPOOL_H_ 8 #define MSHADOW_EXTENSION_CHANNEL_UNPOOL_H_ 10 #include "../extension.h" 21 template<
typename Reducer,
typename SrcExp,
typename DType,
int srcdim>
23 public MakeTensorExp<ChannelUnpoolingExp<Reducer, SrcExp, DType, srcdim>,
24 SrcExp, srcdim, DType> {
41 const SrcExp &data_pooled,
42 const SrcExp &grad_pooled,
44 : data_src_(data_src), data_pooled_(data_pooled),
45 grad_pooled_(grad_pooled),
46 nsize_(nsize), kstride_(kstride), pad_(pad) {
49 CHECK_EQ(pshape, ShapeCheckSrcDimSrcExp::Check(data_pooled))
50 <<
"ChannelUnPoolingExp: data and grad shape mismatch";
52 for (
int k = 0; k < srcdim; ++k) {
56 CHECK_EQ(pshape[k], sshape[k])
57 <<
"ChannelUnPoolingExp: pooled tensor and src tensor shape mismatch" 62 pchannel_ = pshape[1];
78 template<
typename Reducer,
typename SrcExp,
typename DType,
int etype>
85 ::Error_Expression_Does_Not_Meet_Dimension_Req();
87 (data_src.
self(), data_pooled.
self(), grad_pooled.
self(), nsize, stride,
pad);
90 template<
typename Reducer,
typename SrcExp,
typename DType,
int etype>
95 return ch_unpool(data_src, data_pooled, grad_pooled, nsize, 1, nsize / 2);
102 template<
typename Reducer,
typename SrcExp,
typename DType,
int srcdim>
115 const index_t c = i % channel_;
116 const index_t n = i / channel_;
119 : (c - (hnsize_ -
pad_) + stride_) / stride_;
120 const index_t cend = min((c +
pad_ + stride_) / stride_, channel_);
121 DType val =
static_cast<DType
>(0);
122 for (
index_t cc = cstart; cc < cend; ++cc) {
123 val += Reducer::PartialGrad(vsrc,
136 #endif // MSHADOW_EXTENSION_CHANNEL_UNPOOL_H_ const SrcExp & grad_pooled_
gradient data of pooled part, to be propgate down
Definition: channel_unpool.h:30
PaddingExp< SrcExp, DType, ExpInfo< SrcExp >::kDim > pad(const Exp< SrcExp, DType, etype > &src, index_t pad)
padding expression, pad a image with zeros on boundaries, padding affects shape[0], and shape[1]
Definition: pad.h:53
index_t pad_
pad
Definition: channel_unpool.h:38
Definition: expr_engine-inl.h:40
used to help static type check
Definition: expr_engine-inl.h:312
index_t nsize_
kernel size in height
Definition: channel_unpool.h:34
const SrcExp & data_pooled_
result of pooled data, corresponds to result of pooling
Definition: channel_unpool.h:28
ChannelUnpoolingExp(const SrcExp &data_src, const SrcExp &data_pooled, const SrcExp &grad_pooled, index_t nsize, index_t kstride, index_t pad)
constructor
Definition: channel_unpool.h:40
channel pooling expression, do reduction over (local nearby) channels, used to implement local respon...
Definition: channel_unpool.h:22
Definition: optional.h:241
static Shape< dim > Check(const E &t)
#define MSHADOW_XINLINE
Definition: base.h:204
int32_t index_t
type that will be used for index
Definition: base.h:291
Plan(const ChannelUnpoolingExp< Reducer, SrcExp, DType, srcdim > &e)
Definition: channel_unpool.h:105
runtime shape checking template get the shape of an expression, report error if shape mismatch ...
Definition: expr_engine-inl.h:346
index_t kstride_
kernel size in width
Definition: channel_unpool.h:36
defines how expression exp can be evaluated and stored into dst
Definition: expression.h:61
index_t pchannel_
channel of pooled expression
Definition: channel_unpool.h:32
const SrcExp & data_src_
source input, corresponds to src in pooling
Definition: channel_unpool.h:26
const SubType & self(void) const
Definition: expression.h:64
a general class that allows extension that makes tensors of some shape
Definition: expr_engine-inl.h:25
namespace for mshadow
Definition: base.h:282
MSHADOW_XINLINE DType Eval(index_t i, index_t j) const
Definition: channel_unpool.h:110
Shape< dim > shape_
the shape of this expression
Definition: expr_engine-inl.h:29
ChannelUnpoolingExp< Reducer, SrcExp, DType, ExpInfo< SrcExp >::kDim > ch_unpool(const Exp< SrcExp, DType, etype > &data_src, const Exp< SrcExp, DType, etype > &data_pooled, const Exp< SrcExp, DType, etype > &grad_pooled, index_t nsize, index_t stride, index_t pad)
channel unpooling, do unroll over (local nearby) channels
Definition: channel_unpool.h:80