graph():
%image : [#users=2] = placeholder[target=image]
%size : [#users=1] = call_method[target=size](args = (%image,), kwargs = {})
%getitem : [#users=1] = call_function[target=operator.getitem](args = (%size, slice(2, None, None)), kwargs = {})
%model_model_backbone_patch_embed : [#users=3] = call_module[target=model.model.backbone.patch_embed](args = (%image,), kwargs = {})
%size_1 : [#users=1] = call_method[target=size](args = (%model_model_backbone_patch_embed, 2), kwargs = {})
%size_2 : [#users=1] = call_method[target=size](args = (%model_model_backbone_patch_embed, 3), kwargs = {})
%flatten : [#users=1] = call_method[target=flatten](args = (%model_model_backbone_patch_embed, 2), kwargs = {})
%flatten_activation_post_process_0 : [#users=1] = call_module[target=flatten_activation_post_process_0](args = (%flatten,), kwargs = {})
%transpose : [#users=1] = call_method[target=transpose](args = (%flatten_activation_post_process_0, 1, 2), kwargs = {})
%model_model_backbone_pos_drop : [#users=1] = call_module[target=model.model.backbone.pos_drop](args = (%transpose,), kwargs = {})
%model_model_backbone_layers_0 : [#users=6] = call_module[target=model.model.backbone.layers.0](args = (%model_model_backbone_pos_drop, %size_1, %size_2), kwargs = {})
%getitem_1 : [#users=1] = call_function[target=operator.getitem](args = (%model_model_backbone_layers_0, 0), kwargs = {})
%getitem_1_activation_post_process_0 : [#users=1] = call_module[target=getitem_1_activation_post_process_0](args = (%getitem_1,), kwargs = {})
%getitem_2 : [#users=1] = call_function[target=operator.getitem](args = (%model_model_backbone_layers_0, 1), kwargs = {})
%getitem_2_activation_post_process_0 : [#users=1] = call_module[target=getitem_2_activation_post_process_0](args = (%getitem_2,), kwargs = {})
%getitem_3 : [#users=1] = call_function[target=operator.getitem](args = (%model_model_backbone_layers_0, 2), kwargs = {})
%getitem_3_activation_post_process_0 : [#users=1] = call_module[target=getitem_3_activation_post_process_0](args = (%getitem_3,), kwargs = {})
%getitem_4 : [#users=1] = call_function[target=operator.getitem](args = (%model_model_backbone_layers_0, 3), kwargs = {})
%getitem_5 : [#users=1] = call_function[target=operator.getitem](args = (%model_model_backbone_layers_0, 4), kwargs = {})
%getitem_6 : [#users=1] = call_function[target=operator.getitem](args = (%model_model_backbone_layers_0, 5), kwargs = {})
%model_model_backbone_norm0 : [#users=1] = call_module[target=model.model.backbone.norm0](args = (%getitem_1_activation_post_process_0,), kwargs = {})
%model_model_backbone_norm0_activation_post_process_0 : [#users=1] = call_module[target=model_model_backbone_norm0_activation_post_process_0](args = (%model_model_backbone_norm0,), kwargs = {})
%view : [#users=1] = call_method[target=view](args = (%model_model_backbone_norm0_activation_post_process_0, -1, %getitem_2_activation_post_process_0, %getitem_3_activation_post_process_0, 96), kwargs = {})
%permute : [#users=1] = call_method[target=permute](args = (%view, 0, 3, 1, 2), kwargs = {})
%contiguous : [#users=1] = call_method[target=contiguous](args = (%permute,), kwargs = {})
%model_model_backbone_layers_1 : [#users=6] = call_module[target=model.model.backbone.layers.1](args = (%getitem_4, %getitem_5, %getitem_6), kwargs = {})
%getitem_7 : [#users=1] = call_function[target=operator.getitem](args = (%model_model_backbone_layers_1, 0), kwargs = {})
%getitem_7_activation_post_process_0 : [#users=1] = call_module[target=getitem_7_activation_post_process_0](args = (%getitem_7,), kwargs = {})
%getitem_8 : [#users=1] = call_function[target=operator.getitem](args = (%model_model_backbone_layers_1, 1), kwargs = {})
%getitem_8_activation_post_process_0 : [#users=1] = call_module[target=getitem_8_activation_post_process_0](args = (%getitem_8,), kwargs = {})
%getitem_9 : [#users=1] = call_function[target=operator.getitem](args = (%model_model_backbone_layers_1, 2), kwargs = {})
%getitem_9_activation_post_process_0 : [#users=1] = call_module[target=getitem_9_activation_post_process_0](args = (%getitem_9,), kwargs = {})
%getitem_10 : [#users=1] = call_function[target=operator.getitem](args = (%model_model_backbone_layers_1, 3), kwargs = {})
%getitem_11 : [#users=1] = call_function[target=operator.getitem](args = (%model_model_backbone_layers_1, 4), kwargs = {})
%getitem_12 : [#users=1] = call_function[target=operator.getitem](args = (%model_model_backbone_layers_1, 5), kwargs = {})
%model_model_backbone_norm1 : [#users=1] = call_module[target=model.model.backbone.norm1](args = (%getitem_7_activation_post_process_0,), kwargs = {})
%model_model_backbone_norm1_activation_post_process_0 : [#users=1] = call_module[target=model_model_backbone_norm1_activation_post_process_0](args = (%model_model_backbone_norm1,), kwargs = {})
%view_1 : [#users=1] = call_method[target=view](args = (%model_model_backbone_norm1_activation_post_process_0, -1, %getitem_8_activation_post_process_0, %getitem_9_activation_post_process_0, 192), kwargs = {})
%permute_1 : [#users=1] = call_method[target=permute](args = (%view_1, 0, 3, 1, 2), kwargs = {})
%contiguous_1 : [#users=1] = call_method[target=contiguous](args = (%permute_1,), kwargs = {})
%model_model_backbone_layers_2 : [#users=6] = call_module[target=model.model.backbone.layers.2](args = (%getitem_10, %getitem_11, %getitem_12), kwargs = {})
%getitem_13 : [#users=1] = call_function[target=operator.getitem](args = (%model_model_backbone_layers_2, 0), kwargs = {})
%getitem_13_activation_post_process_0 : [#users=1] = call_module[target=getitem_13_activation_post_process_0](args = (%getitem_13,), kwargs = {})
%getitem_14 : [#users=1] = call_function[target=operator.getitem](args = (%model_model_backbone_layers_2, 1), kwargs = {})
%getitem_14_activation_post_process_0 : [#users=1] = call_module[target=getitem_14_activation_post_process_0](args = (%getitem_14,), kwargs = {})
%getitem_15 : [#users=1] = call_function[target=operator.getitem](args = (%model_model_backbone_layers_2, 2), kwargs = {})
%getitem_15_activation_post_process_0 : [#users=1] = call_module[target=getitem_15_activation_post_process_0](args = (%getitem_15,), kwargs = {})
%getitem_16 : [#users=1] = call_function[target=operator.getitem](args = (%model_model_backbone_layers_2, 3), kwargs = {})
%getitem_17 : [#users=1] = call_function[target=operator.getitem](args = (%model_model_backbone_layers_2, 4), kwargs = {})
%getitem_18 : [#users=1] = call_function[target=operator.getitem](args = (%model_model_backbone_layers_2, 5), kwargs = {})
%model_model_backbone_norm2 : [#users=1] = call_module[target=model.model.backbone.norm2](args = (%getitem_13_activation_post_process_0,), kwargs = {})
%model_model_backbone_norm2_activation_post_process_0 : [#users=1] = call_module[target=model_model_backbone_norm2_activation_post_process_0](args = (%model_model_backbone_norm2,), kwargs = {})
%view_2 : [#users=1] = call_method[target=view](args = (%model_model_backbone_norm2_activation_post_process_0, -1, %getitem_14_activation_post_process_0, %getitem_15_activation_post_process_0, 384), kwargs = {})
%permute_2 : [#users=1] = call_method[target=permute](args = (%view_2, 0, 3, 1, 2), kwargs = {})
%contiguous_2 : [#users=1] = call_method[target=contiguous](args = (%permute_2,), kwargs = {})
%model_model_backbone_layers_3 : [#users=6] = call_module[target=model.model.backbone.layers.3](args = (%getitem_16, %getitem_17, %getitem_18), kwargs = {})
%getitem_19 : [#users=1] = call_function[target=operator.getitem](args = (%model_model_backbone_layers_3, 0), kwargs = {})
%getitem_19_activation_post_process_0 : [#users=1] = call_module[target=getitem_19_activation_post_process_0](args = (%getitem_19,), kwargs = {})
%getitem_20 : [#users=1] = call_function[target=operator.getitem](args = (%model_model_backbone_layers_3, 1), kwargs = {})
%getitem_20_activation_post_process_0 : [#users=1] = call_module[target=getitem_20_activation_post_process_0](args = (%getitem_20,), kwargs = {})
%getitem_21 : [#users=1] = call_function[target=operator.getitem](args = (%model_model_backbone_layers_3, 2), kwargs = {})
%getitem_21_activation_post_process_0 : [#users=1] = call_module[target=getitem_21_activation_post_process_0](args = (%getitem_21,), kwargs = {})
%getitem_22 : [#users=0] = call_function[target=operator.getitem](args = (%model_model_backbone_layers_3, 3), kwargs = {})
%getitem_23 : [#users=0] = call_function[target=operator.getitem](args = (%model_model_backbone_layers_3, 4), kwargs = {})
%getitem_24 : [#users=0] = call_function[target=operator.getitem](args = (%model_model_backbone_layers_3, 5), kwargs = {})
%model_model_backbone_norm3 : [#users=1] = call_module[target=model.model.backbone.norm3](args = (%getitem_19_activation_post_process_0,), kwargs = {})
%model_model_backbone_norm3_activation_post_process_0 : [#users=1] = call_module[target=model_model_backbone_norm3_activation_post_process_0](args = (%model_model_backbone_norm3,), kwargs = {})
%view_3 : [#users=1] = call_method[target=view](args = (%model_model_backbone_norm3_activation_post_process_0, -1, %getitem_20_activation_post_process_0, %getitem_21_activation_post_process_0, 768), kwargs = {})
%permute_3 : [#users=1] = call_method[target=permute](args = (%view_3, 0, 3, 1, 2), kwargs = {})
%contiguous_3 : [#users=5] = call_method[target=contiguous](args = (%permute_3,), kwargs = {})
%model_model_aspp1__conv1x1_weights : [#users=1] = get_attr[target=model.model.aspp1._conv1x1_weights]
%model_model_aspp1__conv1x1_weights_activation_post_process_0 : [#users=1] = call_module[target=model_model_aspp1__conv1x1_weights_activation_post_process_0](args = (%model_model_aspp1__conv1x1_weights,), kwargs = {})
%conv2d : [#users=1] = call_function[target=torch.conv2d](args = (), kwargs = {input: %contiguous_3, weight: %model_model_aspp1__conv1x1_weights_activation_post_process_0, padding: same, dilation: 1})
%conv2d_activation_post_process_0 : [#users=1] = call_module[target=conv2d_activation_post_process_0](args = (%conv2d,), kwargs = {})
%model_model_aspp1__bn_layers_0_weight : [#users=1] = get_attr[target=model.model.aspp1._bn_layers.0.weight]
%model_model_aspp1__bn_layers_0_bias : [#users=1] = get_attr[target=model.model.aspp1._bn_layers.0.bias]
%model_model_aspp1__bn_layers_0_running_mean : [#users=1] = get_attr[target=model.model.aspp1._bn_layers.0.running_mean]
%model_model_aspp1__bn_layers_0_running_var : [#users=1] = get_attr[target=model.model.aspp1._bn_layers.0.running_var]
%batch_norm : [#users=1] = call_function[target=torch.nn.functional.batch_norm](args = (%conv2d_activation_post_process_0, %model_model_aspp1__bn_layers_0_running_mean, %model_model_aspp1__bn_layers_0_running_var), kwargs = {weight: %model_model_aspp1__bn_layers_0_weight, bias: %model_model_aspp1__bn_layers_0_bias, training: False, momentum: 0.1, eps: 1e-05})
%relu : [#users=2] = call_function[target=torch.relu](args = (%batch_norm,), kwargs = {})
%relu_activation_post_process_0 : [#users=1] = call_module[target=relu_activation_post_process_0](args = (%relu,), kwargs = {})
%model_model_aspp1__conv2d_weights : [#users=1] = get_attr[target=model.model.aspp1._conv2d_weights]
%model_model_aspp1__conv2d_weights_activation_post_process_0 : [#users=3] = call_module[target=model_model_aspp1__conv2d_weights_activation_post_process_0](args = (%model_model_aspp1__conv2d_weights,), kwargs = {})
%conv2d_1 : [#users=1] = call_function[target=torch.conv2d](args = (), kwargs = {input: %contiguous_3, weight: %model_model_aspp1__conv2d_weights_activation_post_process_0, padding: same, dilation: 6})
%conv2d_1_activation_post_process_0 : [#users=1] = call_module[target=conv2d_1_activation_post_process_0](args = (%conv2d_1,), kwargs = {})
%model_model_aspp1__bn_layers_1_weight : [#users=1] = get_attr[target=model.model.aspp1._bn_layers.1.weight]
%model_model_aspp1__bn_layers_1_bias : [#users=1] = get_attr[target=model.model.aspp1._bn_layers.1.bias]
%model_model_aspp1__bn_layers_1_running_mean : [#users=1] = get_attr[target=model.model.aspp1._bn_layers.1.running_mean]
%model_model_aspp1__bn_layers_1_running_var : [#users=1] = get_attr[target=model.model.aspp1._bn_layers.1.running_var]
%batch_norm_1 : [#users=1] = call_function[target=torch.nn.functional.batch_norm](args = (%conv2d_1_activation_post_process_0, %model_model_aspp1__bn_layers_1_running_mean, %model_model_aspp1__bn_layers_1_running_var), kwargs = {weight: %model_model_aspp1__bn_layers_1_weight, bias: %model_model_aspp1__bn_layers_1_bias, training: False, momentum: 0.1, eps: 1e-05})
%relu_1 : [#users=1] = call_function[target=torch.relu](args = (%batch_norm_1,), kwargs = {})
%relu_1_activation_post_process_0 : [#users=1] = call_module[target=relu_1_activation_post_process_0](args = (%relu_1,), kwargs = {})
%conv2d_2 : [#users=1] = call_function[target=torch.conv2d](args = (), kwargs = {input: %contiguous_3, weight: %model_model_aspp1__conv2d_weights_activation_post_process_0, padding: same, dilation: 12})
%conv2d_2_activation_post_process_0 : [#users=1] = call_module[target=conv2d_2_activation_post_process_0](args = (%conv2d_2,), kwargs = {})
%model_model_aspp1__bn_layers_2_weight : [#users=1] = get_attr[target=model.model.aspp1._bn_layers.2.weight]
%model_model_aspp1__bn_layers_2_bias : [#users=1] = get_attr[target=model.model.aspp1._bn_layers.2.bias]
%model_model_aspp1__bn_layers_2_running_mean : [#users=1] = get_attr[target=model.model.aspp1._bn_layers.2.running_mean]
%model_model_aspp1__bn_layers_2_running_var : [#users=1] = get_attr[target=model.model.aspp1._bn_layers.2.running_var]
%batch_norm_2 : [#users=1] = call_function[target=torch.nn.functional.batch_norm](args = (%conv2d_2_activation_post_process_0, %model_model_aspp1__bn_layers_2_running_mean, %model_model_aspp1__bn_layers_2_running_var), kwargs = {weight: %model_model_aspp1__bn_layers_2_weight, bias: %model_model_aspp1__bn_layers_2_bias, training: False, momentum: 0.1, eps: 1e-05})
%relu_2 : [#users=1] = call_function[target=torch.relu](args = (%batch_norm_2,), kwargs = {})
%relu_2_activation_post_process_0 : [#users=1] = call_module[target=relu_2_activation_post_process_0](args = (%relu_2,), kwargs = {})
%conv2d_3 : [#users=1] = call_function[target=torch.conv2d](args = (), kwargs = {input: %contiguous_3, weight: %model_model_aspp1__conv2d_weights_activation_post_process_0, padding: same, dilation: 18})
%conv2d_3_activation_post_process_0 : [#users=1] = call_module[target=conv2d_3_activation_post_process_0](args = (%conv2d_3,), kwargs = {})
%model_model_aspp1__bn_layers_3_weight : [#users=1] = get_attr[target=model.model.aspp1._bn_layers.3.weight]
%model_model_aspp1__bn_layers_3_bias : [#users=1] = get_attr[target=model.model.aspp1._bn_layers.3.bias]
%model_model_aspp1__bn_layers_3_running_mean : [#users=1] = get_attr[target=model.model.aspp1._bn_layers.3.running_mean]
%model_model_aspp1__bn_layers_3_running_var : [#users=1] = get_attr[target=model.model.aspp1._bn_layers.3.running_var]
%batch_norm_3 : [#users=1] = call_function[target=torch.nn.functional.batch_norm](args = (%conv2d_3_activation_post_process_0, %model_model_aspp1__bn_layers_3_running_mean, %model_model_aspp1__bn_layers_3_running_var), kwargs = {weight: %model_model_aspp1__bn_layers_3_weight, bias: %model_model_aspp1__bn_layers_3_bias, training: False, momentum: 0.1, eps: 1e-05})
%relu_3 : [#users=1] = call_function[target=torch.relu](args = (%batch_norm_3,), kwargs = {})
%relu_3_activation_post_process_0 : [#users=1] = call_module[target=relu_3_activation_post_process_0](args = (%relu_3,), kwargs = {})
%model_model_aspp1_global_avg_pool_0 : [#users=1] = call_module[target=model.model.aspp1.global_avg_pool.0](args = (%contiguous_3,), kwargs = {})
%model_model_aspp1_global_avg_pool_1 : [#users=1] = call_module[target=model.model.aspp1.global_avg_pool.1](args = (%model_model_aspp1_global_avg_pool_0,), kwargs = {})
%model_model_aspp1_global_avg_pool_1_activation_post_process_0 : [#users=1] = call_module[target=model_model_aspp1_global_avg_pool_1_activation_post_process_0](args = (%model_model_aspp1_global_avg_pool_1,), kwargs = {})
%model_model_aspp1_global_avg_pool_2_weight : [#users=1] = get_attr[target=model.model.aspp1.global_avg_pool.2.weight]
%model_model_aspp1_global_avg_pool_2_bias : [#users=1] = get_attr[target=model.model.aspp1.global_avg_pool.2.bias]
%model_model_aspp1_global_avg_pool_2_running_mean : [#users=1] = get_attr[target=model.model.aspp1.global_avg_pool.2.running_mean]
%model_model_aspp1_global_avg_pool_2_running_var : [#users=1] = get_attr[target=model.model.aspp1.global_avg_pool.2.running_var]
%batch_norm_4 : [#users=1] = call_function[target=torch.nn.functional.batch_norm](args = (%model_model_aspp1_global_avg_pool_1_activation_post_process_0, %model_model_aspp1_global_avg_pool_2_running_mean, %model_model_aspp1_global_avg_pool_2_running_var), kwargs = {weight: %model_model_aspp1_global_avg_pool_2_weight, bias: %model_model_aspp1_global_avg_pool_2_bias, training: False, momentum: 0.1, eps: 1e-05})
%batch_norm_4_activation_post_process_0 : [#users=1] = call_module[target=batch_norm_4_activation_post_process_0](args = (%batch_norm_4,), kwargs = {})
%model_model_aspp1_global_avg_pool_3 : [#users=1] = call_module[target=model.model.aspp1.global_avg_pool.3](args = (%batch_norm_4_activation_post_process_0,), kwargs = {})
%size_3 : [#users=1] = call_method[target=size](args = (%relu,), kwargs = {})
%getitem_25 : [#users=1] = call_function[target=operator.getitem](args = (%size_3, slice(2, None, None)), kwargs = {})
%interpolate : [#users=1] = call_function[target=torch.nn.functional.interpolate](args = (%model_model_aspp1_global_avg_pool_3,), kwargs = {size: %getitem_25, scale_factor: None, mode: bilinear, align_corners: True, recompute_scale_factor: None})
%cat : [#users=1] = call_function[target=torch.cat](args = ([%relu_activation_post_process_0, %relu_1_activation_post_process_0, %relu_2_activation_post_process_0, %relu_3_activation_post_process_0, %interpolate],), kwargs = {dim: 1})
%cat_activation_post_process_0 : [#users=1] = call_module[target=cat_activation_post_process_0](args = (%cat,), kwargs = {})
%model_model_aspp1_conv_out : [#users=1] = call_module[target=model.model.aspp1.conv_out](args = (%cat_activation_post_process_0,), kwargs = {})
%model_model_aspp1_conv_out_activation_post_process_0 : [#users=1] = call_module[target=model_model_aspp1_conv_out_activation_post_process_0](args = (%model_model_aspp1_conv_out,), kwargs = {})
%model_model_aspp1_bn_out_weight : [#users=1] = get_attr[target=model.model.aspp1.bn_out.weight]
%model_model_aspp1_bn_out_bias : [#users=1] = get_attr[target=model.model.aspp1.bn_out.bias]
%model_model_aspp1_bn_out_running_mean : [#users=1] = get_attr[target=model.model.aspp1.bn_out.running_mean]
%model_model_aspp1_bn_out_running_var : [#users=1] = get_attr[target=model.model.aspp1.bn_out.running_var]
%batch_norm_5 : [#users=1] = call_function[target=torch.nn.functional.batch_norm](args = (%model_model_aspp1_conv_out_activation_post_process_0, %model_model_aspp1_bn_out_running_mean, %model_model_aspp1_bn_out_running_var), kwargs = {weight: %model_model_aspp1_bn_out_weight, bias: %model_model_aspp1_bn_out_bias, training: False, momentum: 0.1, eps: 1e-05})
%batch_norm_5_activation_post_process_0 : [#users=1] = call_module[target=batch_norm_5_activation_post_process_0](args = (%batch_norm_5,), kwargs = {})
%model_model_aspp1_relu : [#users=1] = call_module[target=model.model.aspp1.relu](args = (%batch_norm_5_activation_post_process_0,), kwargs = {})
%model_model_aspp1_dropout : [#users=1] = call_module[target=model.model.aspp1.dropout](args = (%model_model_aspp1_relu,), kwargs = {})
%model_model_dec_cn_1_layer_0 : [#users=1] = call_module[target=model.model.dec_cn_1.layer.0](args = (%contiguous_2,), kwargs = {})
%model_model_dec_cn_1_layer_0_activation_post_process_0 : [#users=2] = call_module[target=model_model_dec_cn_1_layer_0_activation_post_process_0](args = (%model_model_dec_cn_1_layer_0,), kwargs = {})
%model_model_dec_cn_2_layer_0 : [#users=1] = call_module[target=model.model.dec_cn_2.layer.0](args = (%contiguous_1,), kwargs = {})
%model_model_dec_cn_2_layer_0_activation_post_process_0 : [#users=2] = call_module[target=model_model_dec_cn_2_layer_0_activation_post_process_0](args = (%model_model_dec_cn_2_layer_0,), kwargs = {})
%model_model_dec_cn_3_layer_0 : [#users=1] = call_module[target=model.model.dec_cn_3.layer.0](args = (%contiguous,), kwargs = {})
%model_model_dec_cn_3_layer_0_activation_post_process_0 : [#users=2] = call_module[target=model_model_dec_cn_3_layer_0_activation_post_process_0](args = (%model_model_dec_cn_3_layer_0,), kwargs = {})
%size_4 : [#users=1] = call_method[target=size](args = (%model_model_dec_cn_1_layer_0_activation_post_process_0,), kwargs = {})
%getitem_26 : [#users=1] = call_function[target=operator.getitem](args = (%size_4, slice(2, None, None)), kwargs = {})
%interpolate_1 : [#users=1] = call_function[target=torch.nn.functional.interpolate](args = (%model_model_aspp1_dropout,), kwargs = {size: %getitem_26, scale_factor: None, mode: nearest, align_corners: None, recompute_scale_factor: None})
%cat_1 : [#users=1] = call_function[target=torch.cat](args = ([%model_model_dec_cn_1_layer_0_activation_post_process_0, %interpolate_1],), kwargs = {dim: 1})
%cat_1_activation_post_process_0 : [#users=1] = call_module[target=cat_1_activation_post_process_0](args = (%cat_1,), kwargs = {})
%model_model_dec_cn_1_1_layer_0 : [#users=1] = call_module[target=model.model.dec_cn_1_1.layer.0](args = (%cat_1_activation_post_process_0,), kwargs = {})
%model_model_dec_cn_1_1_layer_0_activation_post_process_0 : [#users=1] = call_module[target=model_model_dec_cn_1_1_layer_0_activation_post_process_0](args = (%model_model_dec_cn_1_1_layer_0,), kwargs = {})
%size_5 : [#users=1] = call_method[target=size](args = (%model_model_dec_cn_2_layer_0_activation_post_process_0,), kwargs = {})
%getitem_27 : [#users=1] = call_function[target=operator.getitem](args = (%size_5, slice(2, None, None)), kwargs = {})
%interpolate_2 : [#users=1] = call_function[target=torch.nn.functional.interpolate](args = (%model_model_dec_cn_1_1_layer_0_activation_post_process_0,), kwargs = {size: %getitem_27, scale_factor: None, mode: nearest, align_corners: None, recompute_scale_factor: None})
%cat_2 : [#users=1] = call_function[target=torch.cat](args = ([%model_model_dec_cn_2_layer_0_activation_post_process_0, %interpolate_2],), kwargs = {dim: 1})
%cat_2_activation_post_process_0 : [#users=1] = call_module[target=cat_2_activation_post_process_0](args = (%cat_2,), kwargs = {})
%model_model_dec_cn_2_1_layer_0 : [#users=1] = call_module[target=model.model.dec_cn_2_1.layer.0](args = (%cat_2_activation_post_process_0,), kwargs = {})
%model_model_dec_cn_2_1_layer_0_activation_post_process_0 : [#users=1] = call_module[target=model_model_dec_cn_2_1_layer_0_activation_post_process_0](args = (%model_model_dec_cn_2_1_layer_0,), kwargs = {})
%size_6 : [#users=1] = call_method[target=size](args = (%model_model_dec_cn_3_layer_0_activation_post_process_0,), kwargs = {})
%getitem_28 : [#users=1] = call_function[target=operator.getitem](args = (%size_6, slice(2, None, None)), kwargs = {})
%interpolate_3 : [#users=1] = call_function[target=torch.nn.functional.interpolate](args = (%model_model_dec_cn_2_1_layer_0_activation_post_process_0,), kwargs = {size: %getitem_28, scale_factor: None, mode: nearest, align_corners: None, recompute_scale_factor: None})
%cat_3 : [#users=1] = call_function[target=torch.cat](args = ([%model_model_dec_cn_3_layer_0_activation_post_process_0, %interpolate_3],), kwargs = {dim: 1})
%cat_3_activation_post_process_0 : [#users=1] = call_module[target=cat_3_activation_post_process_0](args = (%cat_3,), kwargs = {})
%model_model_dec_cn_3_1_layer_0 : [#users=1] = call_module[target=model.model.dec_cn_3_1.layer.0](args = (%cat_3_activation_post_process_0,), kwargs = {})
%model_model_dec_cn_3_1_layer_0_activation_post_process_0 : [#users=1] = call_module[target=model_model_dec_cn_3_1_layer_0_activation_post_process_0](args = (%model_model_dec_cn_3_1_layer_0,), kwargs = {})
%model_model_head_0_layer_0 : [#users=1] = call_module[target=model.model.head.0.layer.0](args = (%model_model_dec_cn_3_1_layer_0_activation_post_process_0,), kwargs = {})
%model_model_head_0_layer_0_activation_post_process_0 : [#users=1] = call_module[target=model_model_head_0_layer_0_activation_post_process_0](args = (%model_model_head_0_layer_0,), kwargs = {})
%model_model_head_1_layer_0 : [#users=1] = call_module[target=model.model.head.1.layer.0](args = (%model_model_head_0_layer_0_activation_post_process_0,), kwargs = {})
%model_model_head_1_layer_0_activation_post_process_0 : [#users=1] = call_module[target=model_model_head_1_layer_0_activation_post_process_0](args = (%model_model_head_1_layer_0,), kwargs = {})
%model_model_head_2 : [#users=1] = call_module[target=model.model.head.2](args = (%model_model_head_1_layer_0_activation_post_process_0,), kwargs = {})
%model_model_head_2_activation_post_process_0 : [#users=1] = call_module[target=model_model_head_2_activation_post_process_0](args = (%model_model_head_2,), kwargs = {})
%interpolate_4 : [#users=1] = call_function[target=torch.nn.functional.interpolate](args = (%model_model_head_2_activation_post_process_0,), kwargs = {size: %getitem, scale_factor: None, mode: bilinear, align_corners: None, recompute_scale_factor: None})
return interpolate_4
