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2d707e32
编写于
8月 30, 2017
作者:
H
hedaoyuan
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paddle/operators/math/im2col.h
paddle/operators/math/im2col.h
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paddle/operators/math/im2col.h
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@@ -29,40 +29,40 @@ enum ColFormat { kCFO = 0, kOCF = 1 };
*
* \param imData Image data.
* \param imShape The shape of imData,
* [input
Channels, inputHeight, inputW
idth].
* [input
_channels, input_height, input_w
idth].
* \param colData Column data.
* \param colShape The shape of colData.
*
* If the template argument Format is kCFO, the shape of colData is:
* [input
Channels, filterHeight, filterWidth, outputHeight, outputW
idth]
* [input
_channels, filter_height, filter_width, output_height, output_w
idth]
* So, it is easy to reshape into a convolution matrix for convolution
* calculation based on matrix multiplication.
* The shape of convolution matrix is [height, width], where the height is equal
* input
Channels * filterHeight * filterW
idth, and the width is equal
* output
Height * outputW
idth.
* input
_channels * filter_height * filter_w
idth, and the width is equal
* output
_height * output_w
idth.
*
* Reshape:
* shape of colData shape of convolution matrix
* [input
C
hannels,
* filter
H
eight,
* filter
W
idth, ======> [height, width]
* output
H
eight,
* output
W
idth]
* [input
_c
hannels,
* filter
_h
eight,
* filter
_w
idth, ======> [height, width]
* output
_h
eight,
* output
_w
idth]
*
* If the template argument Format is kOCF, the shape of colData is:
* [output
Height, outputWidth, inputChannels, filterHeight, filterW
idth]
* [output
_height, output_width, input_channels, filter_height, filter_w
idth]
* So, it is easy to reshape into a sequence matrix for rnn calculation.
* The shape of sequence matrix is [seq
Length, stepSize], where the seqL
ength
* is equal output
Height * outputWidth, and the stepS
ize is equal
* input
Channels * filterHeight * filterW
idth.
* The shape of sequence matrix is [seq
_length, step_size], where the seq_l
ength
* is equal output
_height * output_width, and the step_s
ize is equal
* input
_channels * filter_height * filter_w
idth.
*
* Reshape:
* shape of colData shape of sequence matrix
* [output
H
eight,
* output
W
idth,
* input
C
hannels, ======> [seqLength, stepSize]
* filter
H
eight,
* filter
W
idth]
* [output
_h
eight,
* output
_w
idth,
* input
_c
hannels, ======> [seqLength, stepSize]
* filter
_h
eight,
* filter
_w
idth]
*
* \note The caller needs to ensure that imShape.inputChannels is equal to
* colShape.inputChannels.
...
...
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