def sym_CorrMM(input, filters):
# define theano graph and function
input.name = 'input'
filters.name = 'filters'
rval = corr.CorrMM(border_mode, subsample)(input, filters)
rval.name = 'corr_output'
return rval
def sym_CorrMM(input, filters):
# define theano graph and function
input.name = "input"
filters.name = "filters"
rval = corr.CorrMM(border_mode, subsample, filter_dilation)(input, filters)
rval.name = "corr_output"
return rval
def conv_corr(inputs,
filters,
border_mode="valid",
subsample=(1, 1),
conv_mode='conv'):
if conv_mode == 'conv':
filters = filters[:, :, ::-1, ::-1]
return corr.CorrMM(border_mode, subsample)(inputs, filters)
