pool
- Definitions for all Pooling functions.¶
The file yann.core.pool.py
contains the definition for all the Pooling
functions available.
Todo
- Need to support max_rand_pool and rand_pool
-
class
yann.core.pool.
pooler_2d
(input, ds, img_shp, mode='max', ignore_border=True, verbose=1)[source]¶ function that performs pooling
Parameters: - input – This variable should either
thenao.tensor4
(theano.matrix
reshaped also works) variable or an output from a pervious layer which is atheano.tensor4
convolved with atheano.shared
. The input should be of shape(batchsize, channels, height, width)
. For those who have tried pylearn2 or such, this is called bc01 format. - img_shp – This variable should a tuple or an array:
[batchsize, channels, height, width]
- ds – tuple of pool sizes for rows and columns.
(pool height, pool width)
- mode –
{‘max’, ‘sum’, ‘mean’, ‘max_same_size’} Operation executed on each window. max and sum
- if
max_same_size
we do maxpooling with output is the same size. - if
max
we do do maxpooling with output being downsampled. Output size will be(batchsize, channels, height/ds[0], width/ds[1])
. - if
mean
we do do meanpooling with output being downsampled. Output size will be(batchsize, channels, height/ds[0], width/ds[1])
. - if
sum
we do do sum pooling with output being downsampled. Output size will be(batchsize, channels, height/ds[0], width/ds[1])
.
- if
- ignore_border – (default is
False
) Consider theano’s documentation. It is directly supplied to theano’s pool module.
- input – This variable should either