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Update SpatialMaxPooling to new Theano parameter names. #100

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Update SpatialMaxPooling to new Theano parameter names. #100

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10 changes: 5 additions & 5 deletions DeepFried2/layers/SpatialMaxPooling.py
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Original file line number Diff line number Diff line change
Expand Up @@ -36,7 +36,7 @@ def symb_forward(self, symb_input):

# downsample height and width first
# other dimensions contribute to batch_size
op = Pool(self.window_size[1:], self.ignore_border, st=self.stride[1:], padding=self.padding[1:])
op = Pool(self.window_size[1:], self.ignore_border, stride=self.stride[1:], pad=self.padding[1:])
output = op(input_4d)

outshape = df.T.join(0, symb_input.shape[:-2], output.shape[-2:])
Expand All @@ -56,7 +56,7 @@ def symb_forward(self, symb_input):

# downsample depth
# other dimensions contribute to batch_size
op = Pool((1,self.window_size[0]), self.ignore_border, st=(1,self.stride[0]), padding=(0, self.padding[0]))
op = Pool((1,self.window_size[0]), self.ignore_border, stride=(1,self.stride[0]), pad=(0, self.padding[0]))
outdepth = op(input_4D_depth)

outshape = df.T.join(0, input_depth.shape[:-2], outdepth.shape[-2:])
Expand All @@ -66,8 +66,8 @@ def symb_forward(self, symb_input):
else:
return pool_2d(
symb_input,
ds=self.window_size,
ws=self.window_size,
ignore_border=self.ignore_border,
st=self.stride,
padding=self.padding
stride=self.stride,
pad=self.padding
)