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()
108           for (size_t output_x = 0; output_x < output_width; output_x++) {  in xnn_indirection_init_dwconv2d()  local
110 …   const size_t input_x = output_x * stride_width + kernel_x * dilation_width - input_padding_left;  in xnn_indirection_init_dwconv2d()
111 …size_t index = (batch_index * output_height + output_y) * step_height + output_x * step_width * ke…  in xnn_indirection_init_dwconv2d()
121           for (size_t output_x = 0; output_x < output_width; output_x++) {  in xnn_indirection_init_dwconv2d()  local
123 …size_t index = (batch_index * output_height + output_y) * step_height + output_x * step_width * ke…  in xnn_indirection_init_dwconv2d()
167       const size_t output_x = output_y_x.remainder;  in xnn_indirection_init_deconv2d()  local
173           const size_t x = output_x + padding_left - kernel_x * dilation_width;  in xnn_indirection_init_deconv2d()
232                 const size_t output_x = output_x_start + sliced_output_x * stride_width;  in xnn_indirection_init_subconv2d()  local
234                 assert(doz(output_x + padding_left, kernel_x) % stride_width == 0);  in xnn_indirection_init_subconv2d()
235                 const size_t x = output_x + padding_left - kernel_x;  in xnn_indirection_init_subconv2d()
279       for (size_t output_x = 0; output_x < output_width; output_x++) {  in xnn_indirection_init_maxpool2d()  local
281 …const size_t input_x = doz(output_x * stride_width + pooling_x * dilation_width, input_padding_lef…  in xnn_indirection_init_maxpool2d()
283 …const size_t index = output_y * step_height + output_x * step_width * pooling_height + pooling_x *…  in xnn_indirection_init_maxpool2d()
330       for (size_t output_x = 0; output_x < output_width; output_x++) {  in xnn_indirection_init_resize_bilinear2d_f32()  local
331         const float input_x = (float) (int32_t) output_x * width_scale;  in xnn_indirection_init_resize_bilinear2d_f32()
362       for (size_t output_x = 0; output_x < output_width; output_x++) {  in xnn_indirection_init_resize_bilinear2d_f32()  local
363         float input_x = (float) (int32_t) output_x * width_scale + width_offset;  in xnn_indirection_init_resize_bilinear2d_f32()
410 …const size_t output_x = min(doz(input_x * pooling_width + pooling_x, output_padding_left), output_…  in xnn_indirection_init_unpool2d()  local
412 …     output + ((image * output_height + output_y) * output_width + output_x) * output_pixel_stride;  in xnn_indirection_init_unpool2d()