309         const uint32_t producer_id = value->producer;  in xnn_subgraph_rewrite_for_nchw()
358         const uint32_t producer_id = value->producer;  in xnn_subgraph_rewrite_for_nchw()
496     value->producer = XNN_INVALID_NODE_ID;  in xnn_subgraph_optimize()
519       assert(subgraph->values[output_id].producer == XNN_INVALID_NODE_ID);  in xnn_subgraph_optimize()
520       subgraph->values[output_id].producer = n;  in xnn_subgraph_optimize()
544       const uint32_t producer_id = value->producer;  in xnn_subgraph_optimize()
556       struct xnn_node* producer = &subgraph->nodes[producer_id];  in xnn_subgraph_optimize()  local
557       assert(producer->type != xnn_node_type_invalid);  in xnn_subgraph_optimize()
563         switch (producer->type) {  in xnn_subgraph_optimize()
576             assert(producer->num_outputs == 1);  in xnn_subgraph_optimize()
582             subgraph->values[fused_output_id].producer = producer_id;  in xnn_subgraph_optimize()
583             producer->outputs[0] = fused_output_id;  in xnn_subgraph_optimize()
585             producer->activation.output_min =  in xnn_subgraph_optimize()
586               math_max_f32(producer->activation.output_min, consumer->activation.output_min);  in xnn_subgraph_optimize()
587             producer->activation.output_max =  in xnn_subgraph_optimize()
588               math_min_f32(producer->activation.output_max, consumer->activation.output_max);  in xnn_subgraph_optimize()
598       if (producer->type == xnn_node_type_static_constant_pad) {  in xnn_subgraph_optimize()
599         assert(producer->num_inputs == 1);  in xnn_subgraph_optimize()
600         assert(producer->num_outputs == 1);  in xnn_subgraph_optimize()
602 …      (producer->params.static_pad.pre_paddings[0] | producer->params.static_pad.post_paddings[0] |  in xnn_subgraph_optimize()
603 …producer->params.static_pad.pre_paddings[3] | producer->params.static_pad.post_paddings[3]) == 0 &&  in xnn_subgraph_optimize()
604            producer->params.static_pad.padding_value == 0;  in xnn_subgraph_optimize()
611               assert(consumer->inputs[0] == producer->outputs[0]);  in xnn_subgraph_optimize()
613 …consumer->params.convolution_2d.input_padding_top    += producer->params.static_pad.pre_paddings[1…  in xnn_subgraph_optimize()
614 …consumer->params.convolution_2d.input_padding_right  += producer->params.static_pad.post_paddings[…  in xnn_subgraph_optimize()
615 …consumer->params.convolution_2d.input_padding_bottom += producer->params.static_pad.post_paddings[…  in xnn_subgraph_optimize()
616 …consumer->params.convolution_2d.input_padding_left   += producer->params.static_pad.pre_paddings[2…  in xnn_subgraph_optimize()
618               consumer->inputs[0] = producer->inputs[0];  in xnn_subgraph_optimize()
620               const uint32_t fused_input_id = producer->inputs[0];  in xnn_subgraph_optimize()
626               xnn_node_clear(producer);  in xnn_subgraph_optimize()
635               assert(consumer->inputs[0] == producer->outputs[0]);  in xnn_subgraph_optimize()
638                 producer->params.static_pad.pre_paddings[1];  in xnn_subgraph_optimize()
640                 producer->params.static_pad.post_paddings[2];  in xnn_subgraph_optimize()
642                 producer->params.static_pad.post_paddings[1];  in xnn_subgraph_optimize()
644                 producer->params.static_pad.pre_paddings[2];  in xnn_subgraph_optimize()
646               consumer->inputs[0] = producer->inputs[0];  in xnn_subgraph_optimize()
648               const uint32_t fused_input_id = producer->inputs[0];  in xnn_subgraph_optimize()
654               xnn_node_clear(producer);  in xnn_subgraph_optimize()