Lines Matching full:padding
35 .input_width(${(WIDTH_TILE - 1) * SUBSAMPLING + KERNEL_WIDTH - 2 * PADDING})
36 .input_height(${HEIGHT_TILE * SUBSAMPLING + KERNEL_HEIGHT - 2 * PADDING - 1})
40 .padding_left(${PADDING})
41 .padding_right(${PADDING})
42 .padding_top(${PADDING})
43 .padding_bottom(${PADDING})
50 …) * SUBSAMPLING + KERNEL_WIDTH - 2 * PADDING}; input_width < ${WIDTH_TILE * SUBSAMPLING + KERNEL_W…
53 .input_height(${HEIGHT_TILE * SUBSAMPLING + KERNEL_HEIGHT - 2 * PADDING - 1})
57 .padding_left(${PADDING})
58 .padding_right(${PADDING})
59 .padding_top(${PADDING})
60 .padding_bottom(${PADDING})
69 …SUBSAMPLING + KERNEL_WIDTH - 2 * PADDING - 1}; input_width < ${8 * WIDTH_TILE * SUBSAMPLING + KERN…
72 .input_height(${HEIGHT_TILE * SUBSAMPLING + KERNEL_HEIGHT - 2 * PADDING - 1})
76 .padding_left(${PADDING})
77 .padding_right(${PADDING})
78 .padding_top(${PADDING})
79 .padding_bottom(${PADDING})
87 …th = ${max(1, KERNEL_WIDTH - 2 * PADDING)}; input_width < ${(WIDTH_TILE - 1) * SUBSAMPLING + KERNE…
90 .input_height(${HEIGHT_TILE * SUBSAMPLING + KERNEL_HEIGHT - 2 * PADDING - 1})
94 .padding_left(${PADDING})
95 .padding_right(${PADDING})
96 .padding_top(${PADDING})
97 .padding_bottom(${PADDING})
105 …+ KERNEL_WIDTH - 2 * PADDING}; input_width < ${(5 if WIDTH_TILE == 1 else 2) * WIDTH_TILE * SUBSAM…
108 .input_height(${HEIGHT_TILE * SUBSAMPLING + KERNEL_HEIGHT - 2 * PADDING - 1})
112 .padding_left(${PADDING})
113 .padding_right(${PADDING})
114 .padding_top(${PADDING})
115 .padding_bottom(${PADDING})
124 … SUBSAMPLING + KERNEL_HEIGHT - 2 * PADDING}; input_height < ${HEIGHT_TILE * SUBSAMPLING + KERNEL_H…
125 …h = 1; input_width < ${5 * WIDTH_TILE * SUBSAMPLING + KERNEL_WIDTH - 2 * PADDING}; input_width += …
132 .padding_left(${PADDING})
133 .padding_right(${PADDING})
134 .padding_top(${PADDING})
135 .padding_bottom(${PADDING})
145 …SAMPLING + KERNEL_HEIGHT - 2 * PADDING - 1}; input_height < ${8 * HEIGHT_TILE * SUBSAMPLING + KERN…
146 …h = 1; input_width < ${5 * WIDTH_TILE * SUBSAMPLING + KERNEL_WIDTH - 2 * PADDING}; input_width += …
153 .padding_left(${PADDING})
154 .padding_right(${PADDING})
155 .padding_top(${PADDING})
156 .padding_bottom(${PADDING})
165 … = ${max(1, KERNEL_HEIGHT - 2 * PADDING)}; input_height < ${(HEIGHT_TILE - 1) * SUBSAMPLING + KERN…
166 …h = 1; input_width < ${5 * WIDTH_TILE * SUBSAMPLING + KERNEL_WIDTH - 2 * PADDING}; input_width += …
173 .padding_left(${PADDING})
174 .padding_right(${PADDING})
175 .padding_top(${PADDING})
176 .padding_bottom(${PADDING})
185 …ERNEL_HEIGHT - 2 * PADDING}; input_height < ${(5 if WIDTH_TILE == 1 else 2) * HEIGHT_TILE * SUBSAM…
186 …h = 1; input_width < ${5 * WIDTH_TILE * SUBSAMPLING + KERNEL_WIDTH - 2 * PADDING}; input_width += …
193 .padding_left(${PADDING})
194 .padding_right(${PADDING})
195 .padding_top(${PADDING})
196 .padding_bottom(${PADDING})
206 …= ${max(1, KERNEL_HEIGHT - 2 * PADDING + 1)}; input_height < ${3 * HEIGHT_TILE * SUBSAMPLING + KER…
207 …h = 1; input_width < ${5 * WIDTH_TILE * SUBSAMPLING + KERNEL_WIDTH - 2 * PADDING}; input_width += …
214 .padding_left(${PADDING})
215 .padding_right(${PADDING})
216 .padding_top(${PADDING - 1})
217 .padding_bottom(${PADDING})
233 padding = int(match.group(5))
239 return kernel_height, kernel_width, stride, padding, arch, isa, \
244 padding, isa, height_tile, width_tile): argument
254 padding: convolution padding value assumed by the micro-kernel for right,
255 bottom, and left padding. If convolution stride is 1, the same
256 padding value is assumed for the top padding. If convolution stride
257 is different than 1, top padding is specified via micro-kernel
258 parameter, and can be either padding or (padding - 1).
282 "PADDING": padding,
322 kernel_height, kernel_width, subsampling, padding, arch, isa, \
329 subsampling, padding, isa, \