50       const size_t output_x = output_y_x.remainder;  in xnn_indirection_init_conv2d()  local
56 …   const size_t input_x = output_x * stride_width + kernel_x * dilation_width - input_padding_left;  in xnn_indirection_init_conv2d()
112       const size_t output_x = output_y_x.remainder;  in xnn_indirection_init_deconv2d()  local
118           const size_t x = output_x + padding_left - kernel_x * dilation_width;  in xnn_indirection_init_deconv2d()
177                 const size_t output_x = output_x_start + sliced_output_x * stride_width;  in xnn_indirection_init_subconv2d()  local
179                 assert(doz(output_x + padding_left, kernel_x) % stride_width == 0);  in xnn_indirection_init_subconv2d()
180                 const size_t x = output_x + padding_left - kernel_x;  in xnn_indirection_init_subconv2d()
225         for (size_t output_x = 0; output_x < output_width; output_x++) {  in xnn_indirection_init_dwconv2d()  local
227 …   const size_t input_x = output_x * stride_width + kernel_x * dilation_width - input_padding_left;  in xnn_indirection_init_dwconv2d()
228 …const size_t index = output_y * step_height + output_x * step_width * kernel_height + kernel_x * k…  in xnn_indirection_init_dwconv2d()
238         for (size_t output_x = 0; output_x < output_width; output_x++) {  in xnn_indirection_init_dwconv2d()  local
240 …const size_t index = output_y * step_height + output_x * step_width * kernel_height + kernel_x * k…  in xnn_indirection_init_dwconv2d()
290         for (size_t output_x = 0; output_x < output_width; output_x++) {  in xnn_indirection_init_maxpool2d()  local
292             size_t safe_input_x = output_x * stride_width;  in xnn_indirection_init_maxpool2d()
298 …        size_t input_x = output_x * stride_width + pooling_x * dilation_width - input_padding_left;  in xnn_indirection_init_maxpool2d()
303 …const size_t index = output_y * step_height + output_x * step_width * pooling_height + pooling_x *…  in xnn_indirection_init_maxpool2d()
315         for (size_t output_x = 0; output_x < output_width; output_x++) {  in xnn_indirection_init_maxpool2d()  local
317 …const size_t input_x = min(doz(output_x * stride_width + pooling_x * dilation_width, input_padding…  in xnn_indirection_init_maxpool2d()
318 …const size_t index = output_y * step_height + output_x * step_width * pooling_height + pooling_x *…  in xnn_indirection_init_maxpool2d()
366       for (size_t output_x = 0; output_x < output_width; output_x++) {  in xnn_indirection_init_resize_bilinear2d_hwc_f32()  local
367         const float input_x = (float) (int32_t) output_x * width_scale;  in xnn_indirection_init_resize_bilinear2d_hwc_f32()
398       for (size_t output_x = 0; output_x < output_width; output_x++) {  in xnn_indirection_init_resize_bilinear2d_hwc_f32()  local
399         float input_x = (float) (int32_t) output_x * width_scale + width_offset;  in xnn_indirection_init_resize_bilinear2d_hwc_f32()
461       for (size_t output_x = 0; output_x < output_width; output_x++) {  in xnn_indirection_init_resize_bilinear2d_chw_f32()  local
462         const float input_x = (float) (int32_t) output_x * width_scale;  in xnn_indirection_init_resize_bilinear2d_chw_f32()
495       for (size_t output_x = 0; output_x < output_width; output_x++) {  in xnn_indirection_init_resize_bilinear2d_chw_f32()  local
496         float input_x = (float) (int32_t) output_x * width_scale + width_offset;  in xnn_indirection_init_resize_bilinear2d_chw_f32()
546 …const size_t output_x = min(doz(input_x * pooling_width + pooling_x, output_padding_left), output_…  in xnn_indirection_init_unpool2d()  local
548 …intptr_t) output + ((image * output_height + output_y) * output_width + output_x) * output_pixel_s…  in xnn_indirection_init_unpool2d()