mxnet
pad.h
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19 
26 #ifndef MSHADOW_EXTENSION_PAD_H_
27 #define MSHADOW_EXTENSION_PAD_H_
28 #include "../extension.h"
29 namespace mshadow {
30 namespace expr {
37 template<typename SrcExp, typename DType, int srcdim>
38 struct PaddingExp:
39  public MakeTensorExp<PaddingExp<SrcExp, DType, srcdim>,
40  SrcExp, srcdim, DType> {
42  const SrcExp &src_;
52  PaddingExp(const SrcExp &src, index_t pad_y, index_t pad_x)
53  : src_(src), pad_y_(pad_y), pad_x_(pad_x) {
55  src_height_ = this->shape_[srcdim - 2];
56  src_width_ = this->shape_[srcdim - 1];
57  this->shape_[srcdim - 2] += pad_y * 2; // height
58  this->shape_[srcdim - 1] += pad_x * 2; // width
59  }
60 };
70 template<typename SrcExp, typename DType, int etype>
74  ::Error_Expression_Does_Not_Meet_Dimension_Req();
76 }
87 template<typename SrcExp, typename DType, int etype>
89 pad(const Exp<SrcExp, DType, etype> &src, index_t pad_y, index_t pad_x) {
91  ::Error_Expression_Does_Not_Meet_Dimension_Req();
93  (src.self(), pad_y, pad_x);
94 }
95 //----------------------
96 // Execution plan
97 //----------------------
98 template<typename SrcExp, typename DType, int srcdim>
99 struct Plan<PaddingExp<SrcExp, DType, srcdim>, DType> {
100  public:
102  : src_(MakePlan(e.src_)),
103  pad_y_(e.pad_y_), pad_x_(e.pad_x_),
104  new_height_(e.shape_[srcdim - 2]),
106  MSHADOW_XINLINE DType Eval(index_t i, index_t j) const {
107  const index_t x = j;
108  const index_t y = i % new_height_;
109  const index_t c = i / new_height_;
110  if (y < pad_y_ || x < pad_x_) return static_cast<DType>(0);
111  const index_t h = y - pad_y_;
112  const index_t w = x - pad_x_;
113  if (h < src_height_ && w < src_width_) {
114  return src_.Eval(c * src_height_ + h, w);
115  } else {
116  return static_cast<DType>(0);
117  }
118  }
119 
120  private:
122  const index_t pad_y_;
123  const index_t pad_x_;
124  const index_t new_height_;
125  const index_t src_height_;
126  const index_t src_width_;
127 };
128 } // namespace expr
129 } // namespace mshadow
130 #endif // MSHADOW_EXTENSION_PAD_H_
const SrcExp & src_
source operand
Definition: pad.h:42
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:72
Definition: expr_engine-inl.h:59
used to help static type check
Definition: expr_engine-inl.h:331
index_t pad_y_
pad size in y
Definition: pad.h:44
padding expression, pad a image with zeros
Definition: pad.h:38
static Shape< dim > Check(const E &t)
#define MSHADOW_XINLINE
Definition: base.h:223
MSHADOW_XINLINE DType Eval(index_t i, index_t j) const
Definition: pad.h:106
int32_t index_t
type that will be used for index
Definition: base.h:336
index_t src_height_
source tensor height
Definition: pad.h:48
index_t src_width_
source tensor width
Definition: pad.h:50
index_t pad_x_
pad size in x
Definition: pad.h:46
defines how expression exp can be evaluated and stored into dst
Definition: expression.h:80
const SubType & self(void) const
Definition: expression.h:83
Plan< BinaryMapExp< OP, TA, TB, DType, etype >, DType > MakePlan(const BinaryMapExp< OP, TA, TB, DType, etype > &e)
Definition: expr_engine-inl.h:240
a general class that allows extension that makes tensors of some shape
Definition: expr_engine-inl.h:44
overloaded + operator between half_t and bf16_t
Definition: base.h:327
Plan(const PaddingExp< SrcExp, DType, srcdim > &e)
Definition: pad.h:101
Shape< dim > shape_
the shape of this expression
Definition: expr_engine-inl.h:48
PaddingExp(const SrcExp &src, index_t pad_y, index_t pad_x)
constructor
Definition: pad.h:52