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 init_fn, padding, isa, height_tile, width_tile): argument
255 padding: convolution padding value assumed by the micro-kernel for right,
256 bottom, and left padding. If convolution stride is 1, the same
257 padding value is assumed for the top padding. If convolution stride
258 is different than 1, top padding is specified via micro-kernel
259 parameter, and can be either padding or (padding - 1).
285 "PADDING": padding,
326 kernel_height, kernel_width, subsampling, padding, arch, isa, \
333 subsampling, init_fn, padding, isa, \