def reduction_A(input):
if K.image_dim_ordering() == "th":
channel_axis = 1
else:
channel_axis = -1
r1 = conv_block(input, 384, 3, 3, subsample=(2, 2), border_mode='valid')
r2 = conv_block(input, 192, 1, 1)
r2 = conv_block(r2, 224, 3, 3)
r2 = conv_block(r2, 256, 3, 3, subsample=(2, 2), border_mode='valid')
r3 = MaxPooling2D((3, 3), strides=(2, 2), border_mode='valid')(input)
m = merge([r1, r2, r3], mode='concat', concat_axis=channel_axis)
return m
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