Lines Matching refs:getScalar
68 const int32_t padding_left = model->getScalar<int32_t>(ins[1]); in average_pool_2d()
69 const int32_t padding_right = model->getScalar<int32_t>(ins[2]); in average_pool_2d()
70 const int32_t padding_top = model->getScalar<int32_t>(ins[3]); in average_pool_2d()
71 const int32_t padding_bottom = model->getScalar<int32_t>(ins[4]); in average_pool_2d()
72 stride_width = model->getScalar<int32_t>(ins[5]); in average_pool_2d()
73 stride_height = model->getScalar<int32_t>(ins[6]); in average_pool_2d()
74 filter_width = model->getScalar<int32_t>(ins[7]); in average_pool_2d()
75 filter_height = model->getScalar<int32_t>(ins[8]); in average_pool_2d()
85 stride_width = model->getScalar<int32_t>(ins[2]); in average_pool_2d()
86 stride_height = model->getScalar<int32_t>(ins[3]); in average_pool_2d()
87 filter_width = model->getScalar<int32_t>(ins[4]); in average_pool_2d()
88 filter_height = model->getScalar<int32_t>(ins[5]); in average_pool_2d()
114 const int32_t axis = model->getScalar<int32_t>(ins[numInputTensors]); in concatenation()
141 const int32_t padding_left = model->getScalar<int32_t>(ins[3]); in conv_2d()
142 const int32_t padding_right = model->getScalar<int32_t>(ins[4]); in conv_2d()
143 const int32_t padding_top = model->getScalar<int32_t>(ins[5]); in conv_2d()
144 const int32_t padding_bottom = model->getScalar<int32_t>(ins[6]); in conv_2d()
145 stride_width = model->getScalar<int32_t>(ins[7]); in conv_2d()
146 stride_height = model->getScalar<int32_t>(ins[8]); in conv_2d()
157 stride_width = model->getScalar<int32_t>(ins[4]); in conv_2d()
158 stride_height = model->getScalar<int32_t>(ins[5]); in conv_2d()
190 const int32_t padding_left = model->getScalar<int32_t>(ins[3]); in depthwise_conv_2d()
191 const int32_t padding_right = model->getScalar<int32_t>(ins[4]); in depthwise_conv_2d()
192 const int32_t padding_top = model->getScalar<int32_t>(ins[5]); in depthwise_conv_2d()
193 const int32_t padding_bottom = model->getScalar<int32_t>(ins[6]); in depthwise_conv_2d()
194 stride_width = model->getScalar<int32_t>(ins[7]); in depthwise_conv_2d()
195 stride_height = model->getScalar<int32_t>(ins[8]); in depthwise_conv_2d()
196 depth_multiplier = model->getScalar<int32_t>(ins[9]); in depthwise_conv_2d()
207 stride_width = model->getScalar<int32_t>(ins[4]); in depthwise_conv_2d()
208 stride_height = model->getScalar<int32_t>(ins[5]); in depthwise_conv_2d()
209 depth_multiplier = model->getScalar<int32_t>(ins[6]); in depthwise_conv_2d()
256 const int32_t padding_left = model->getScalar<int32_t>(ins[1]); in l2_pool_2d()
257 const int32_t padding_right = model->getScalar<int32_t>(ins[2]); in l2_pool_2d()
258 const int32_t padding_top = model->getScalar<int32_t>(ins[3]); in l2_pool_2d()
259 const int32_t padding_bottom = model->getScalar<int32_t>(ins[4]); in l2_pool_2d()
260 stride_width = model->getScalar<int32_t>(ins[5]); in l2_pool_2d()
261 stride_height = model->getScalar<int32_t>(ins[6]); in l2_pool_2d()
262 filter_width = model->getScalar<int32_t>(ins[7]); in l2_pool_2d()
263 filter_height = model->getScalar<int32_t>(ins[8]); in l2_pool_2d()
273 stride_width = model->getScalar<int32_t>(ins[2]); in l2_pool_2d()
274 stride_height = model->getScalar<int32_t>(ins[3]); in l2_pool_2d()
275 filter_width = model->getScalar<int32_t>(ins[4]); in l2_pool_2d()
276 filter_height = model->getScalar<int32_t>(ins[5]); in l2_pool_2d()
302 const int32_t radius = model->getScalar<int32_t>(ins[1]); in local_response_normalization()
340 const int32_t padding_left = model->getScalar<int32_t>(ins[1]); in max_pool_2d()
341 const int32_t padding_right = model->getScalar<int32_t>(ins[2]); in max_pool_2d()
342 const int32_t padding_top = model->getScalar<int32_t>(ins[3]); in max_pool_2d()
343 const int32_t padding_bottom = model->getScalar<int32_t>(ins[4]); in max_pool_2d()
344 stride_width = model->getScalar<int32_t>(ins[5]); in max_pool_2d()
345 stride_height = model->getScalar<int32_t>(ins[6]); in max_pool_2d()
346 filter_width = model->getScalar<int32_t>(ins[7]); in max_pool_2d()
347 filter_height = model->getScalar<int32_t>(ins[8]); in max_pool_2d()
357 stride_width = model->getScalar<int32_t>(ins[2]); in max_pool_2d()
358 stride_height = model->getScalar<int32_t>(ins[3]); in max_pool_2d()
359 filter_width = model->getScalar<int32_t>(ins[4]); in max_pool_2d()
360 filter_height = model->getScalar<int32_t>(ins[5]); in max_pool_2d()
446 const int32_t width = model->getScalar<int32_t>(ins[1]); in resize_bilinear()
447 const int32_t height = model->getScalar<int32_t>(ins[2]); in resize_bilinear()
523 const int32_t padding_left = model->getScalar<int32_t>(ins[1]); in average_pool_2d()
524 const int32_t padding_right = model->getScalar<int32_t>(ins[2]); in average_pool_2d()
525 const int32_t padding_top = model->getScalar<int32_t>(ins[3]); in average_pool_2d()
526 const int32_t padding_bottom = model->getScalar<int32_t>(ins[4]); in average_pool_2d()
527 stride_width = model->getScalar<int32_t>(ins[5]); in average_pool_2d()
528 stride_height = model->getScalar<int32_t>(ins[6]); in average_pool_2d()
529 filter_width = model->getScalar<int32_t>(ins[7]); in average_pool_2d()
530 filter_height = model->getScalar<int32_t>(ins[8]); in average_pool_2d()
540 stride_width = model->getScalar<int32_t>(ins[2]); in average_pool_2d()
541 stride_height = model->getScalar<int32_t>(ins[3]); in average_pool_2d()
542 filter_width = model->getScalar<int32_t>(ins[4]); in average_pool_2d()
543 filter_height = model->getScalar<int32_t>(ins[5]); in average_pool_2d()
573 const int32_t axis = model->getScalar<int32_t>(ins[numInputTensors]); in concatenation()
600 const int32_t padding_left = model->getScalar<int32_t>(ins[3]); in conv_2d()
601 const int32_t padding_right = model->getScalar<int32_t>(ins[4]); in conv_2d()
602 const int32_t padding_top = model->getScalar<int32_t>(ins[5]); in conv_2d()
603 const int32_t padding_bottom = model->getScalar<int32_t>(ins[6]); in conv_2d()
604 stride_width = model->getScalar<int32_t>(ins[7]); in conv_2d()
605 stride_height = model->getScalar<int32_t>(ins[8]); in conv_2d()
616 stride_width = model->getScalar<int32_t>(ins[4]); in conv_2d()
617 stride_height = model->getScalar<int32_t>(ins[5]); in conv_2d()
655 const int32_t padding_left = model->getScalar<int32_t>(ins[3]); in depthwise_conv_2d()
656 const int32_t padding_right = model->getScalar<int32_t>(ins[4]); in depthwise_conv_2d()
657 const int32_t padding_top = model->getScalar<int32_t>(ins[5]); in depthwise_conv_2d()
658 const int32_t padding_bottom = model->getScalar<int32_t>(ins[6]); in depthwise_conv_2d()
659 stride_width = model->getScalar<int32_t>(ins[7]); in depthwise_conv_2d()
660 stride_height = model->getScalar<int32_t>(ins[8]); in depthwise_conv_2d()
661 depth_multiplier = model->getScalar<int32_t>(ins[9]); in depthwise_conv_2d()
672 stride_width = model->getScalar<int32_t>(ins[4]); in depthwise_conv_2d()
673 stride_height = model->getScalar<int32_t>(ins[5]); in depthwise_conv_2d()
674 depth_multiplier = model->getScalar<int32_t>(ins[6]); in depthwise_conv_2d()
771 const int32_t padding_left = model->getScalar<int32_t>(ins[1]); in max_pool_2d()
772 const int32_t padding_right = model->getScalar<int32_t>(ins[2]); in max_pool_2d()
773 const int32_t padding_top = model->getScalar<int32_t>(ins[3]); in max_pool_2d()
774 const int32_t padding_bottom = model->getScalar<int32_t>(ins[4]); in max_pool_2d()
775 stride_width = model->getScalar<int32_t>(ins[5]); in max_pool_2d()
776 stride_height = model->getScalar<int32_t>(ins[6]); in max_pool_2d()
777 filter_width = model->getScalar<int32_t>(ins[7]); in max_pool_2d()
778 filter_height = model->getScalar<int32_t>(ins[8]); in max_pool_2d()
788 stride_width = model->getScalar<int32_t>(ins[2]); in max_pool_2d()
789 stride_height = model->getScalar<int32_t>(ins[3]); in max_pool_2d()
790 filter_width = model->getScalar<int32_t>(ins[4]); in max_pool_2d()
791 filter_height = model->getScalar<int32_t>(ins[5]); in max_pool_2d()