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support border_mode 'same' for pool layers #89

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support border_mode 'same' for pool layers #89

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16 changes: 14 additions & 2 deletions keras/backend/mxnet_backend.py
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Original file line number Diff line number Diff line change
Expand Up @@ -2908,8 +2908,14 @@ def pool2d(x, pool_size, strides=(1, 1),
if dim_ordering == 'default':
dim_ordering = image_dim_ordering()
x = _preprocess_convnd_input(x, dim_ordering)

padding = (0, 0)
if border_mode == 'same':
padding, _, out_size = _preprocess_border_mode(border_mode, x.shape, pool_size, strides, (1,1))
border_mode = 'valid'

s = mx.sym.Pooling(data=x.symbol, kernel=pool_size, pool_type=pool_mode, pooling_convention=border_mode,
stride=strides)
pad=padding, stride=strides)
out = _postprocess_convnd_output(KerasSymbol(s), dim_ordering)
return out

Expand All @@ -2932,8 +2938,14 @@ def pool3d(x, pool_size, strides=(1, 1, 1), border_mode='valid',
if dim_ordering == 'default':
dim_ordering = image_dim_ordering()
x = _preprocess_convnd_input(x, dim_ordering)

padding = (0, 0, 0)
if border_mode == 'same':
padding, _, _ = _preprocess_border_mode(border_mode, x.shape, pool_size, strides, (1,1,1))
border_mode = 'valid'

s = mx.sym.Pooling(data=x.symbol, kernel=pool_size, pool_type=pool_mode, pooling_convention=border_mode,
stride=strides)
pad=padding, stride=strides)
out = _postprocess_convnd_output(KerasSymbol(s), dim_ordering)
return out

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