51       const size_t output_y = output_y_x.quotient;  in xnn_indirection_init_conv2d()  local
53 …  const size_t input_y = output_y * stride_height + kernel_y * dilation_height - input_padding_top;  in xnn_indirection_init_conv2d()
104     for (size_t output_y = 0; output_y < output_height; output_y++) {  in xnn_indirection_init_dwconv2d()  local
106 …  const size_t input_y = output_y * stride_height + kernel_y * dilation_height - input_padding_top;  in xnn_indirection_init_dwconv2d()
111 …const size_t index = (batch_index * output_height + output_y) * step_height + output_x * step_widt…  in xnn_indirection_init_dwconv2d()
123 …const size_t index = (batch_index * output_height + output_y) * step_height + output_x * step_widt…  in xnn_indirection_init_dwconv2d()
168       const size_t output_y = output_y_x.quotient;  in xnn_indirection_init_deconv2d()  local
170         const size_t y = output_y + padding_top - kernel_y * dilation_height;  in xnn_indirection_init_deconv2d()
222       for (size_t output_y = output_y_start; output_y < output_height; output_y += stride_height) {  in xnn_indirection_init_subconv2d()  local
225             assert(doz(output_y + padding_top, kernel_y) % stride_height == 0);  in xnn_indirection_init_subconv2d()
226             const size_t y = output_y + padding_top - kernel_y;  in xnn_indirection_init_subconv2d()
275   for (size_t output_y = 0; output_y < output_height; output_y++) {  in xnn_indirection_init_maxpool2d()  local
277 …const size_t input_y = doz(output_y * stride_height + pooling_y * dilation_height, input_padding_t…  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()
322     for (size_t output_y = 0; output_y < output_height; output_y++) {  in xnn_indirection_init_resize_bilinear2d_f32()  local
323       const float input_y = (float) (int32_t) output_y * height_scale;  in xnn_indirection_init_resize_bilinear2d_f32()
355     for (size_t output_y = 0; output_y < output_height; output_y++) {  in xnn_indirection_init_resize_bilinear2d_f32()  local
356       float input_y = (float) (int32_t) output_y * height_scale + height_offset;  in xnn_indirection_init_resize_bilinear2d_f32()
407 …const size_t output_y = min(doz(input_y * pooling_height + pooling_y, output_padding_top), 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()