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filter_model.c
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filter_model.c
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#include "filter_activation.h"
#include "filter_model.h"
#include "filter_weights.h"
LIB_HIDDEN void
model_infer (struct tensors *ts,
ModelInput const *image,
ModelOut *result)
{
node_filtermodel_stem_conv_Conv2D( image, tensor_filtermodel_stem_conv_Conv2D_weights_fused_bn, tensor_filtermodel_stem_conv_Conv2D_bias_fused_bn, ts->tu1.tensor_filtermodel_stem_bn_FusedBatchNormV3_0);
node_filtermodel_stem_relu_Relu( ts->tu1.tensor_filtermodel_stem_bn_FusedBatchNormV3_0, ts->tu0.tensor_filtermodel_stem_relu_Relu_0);
node_filtermodel_stack1_block1_shortcut_conv_Conv2D( ts->tu0.tensor_filtermodel_stem_relu_Relu_0, tensor_filtermodel_stack1_block1_shortcut_conv_Conv2D_weights_fused_bn, tensor_filtermodel_stack1_block1_shortcut_conv_Conv2D_bias_fused_bn, ts->tu1.tensor_filtermodel_stack1_block1_shortcut_bn_FusedBatchNormV3_0);
node_filtermodel_stack1_block1_deep_1_conv_Conv2D( ts->tu0.tensor_filtermodel_stem_relu_Relu_0, tensor_filtermodel_stack1_block1_deep_1_conv_Conv2D_weights_fused_bn, tensor_filtermodel_stack1_block1_deep_1_conv_Conv2D_bias_fused_bn, ts->tu2.tensor_filtermodel_stack1_block1_deep_1_bn_FusedBatchNormV3_0);
node_filtermodel_stack1_block1_deep_1_relu_Relu( ts->tu2.tensor_filtermodel_stack1_block1_deep_1_bn_FusedBatchNormV3_0, ts->tu0.tensor_filtermodel_stack1_block1_deep_1_relu_Relu_0);
node_filtermodel_stack1_block1_deep_2_GC_conv_Conv2D( ts->tu0.tensor_filtermodel_stack1_block1_deep_1_relu_Relu_0, tensor_filtermodel_stack1_block1_deep_2_GC_conv_Conv2D_weights_fused_bn, tensor_filtermodel_stack1_block1_deep_2_GC_conv_Conv2D_bias_fused_bn, ts->tu2.tensor_filtermodel_stack1_block1_deep_2_bn_FusedBatchNormV3_0);
node_filtermodel_stack1_block1_deep_2_relu_Relu( ts->tu2.tensor_filtermodel_stack1_block1_deep_2_bn_FusedBatchNormV3_0, ts->tu0.tensor_filtermodel_stack1_block1_deep_2_relu_Relu_0);
node_filtermodel_tf_math_reduce_mean_Mean( ts->tu0.tensor_filtermodel_stack1_block1_deep_2_relu_Relu_0, ts->tu2.tensor_filtermodel_tf_math_reduce_mean_Mean_0);
node_filtermodel_stack1_block1_deep_2_se_1_conv_BiasAdd( ts->tu2.tensor_filtermodel_tf_math_reduce_mean_Mean_0, tensor_filtermodel_stack1_block1_deep_2_se_1_conv_Conv2D_ReadVariableOp_0, tensor_filtermodel_stack1_block1_deep_2_se_1_conv_BiasAdd_ReadVariableOp_0, ts->tu3.tensor_filtermodel_stack1_block1_deep_2_se_1_conv_BiasAdd_0);
node_filtermodel_stack1_block1_deep_2_se_relu_Relu( ts->tu3.tensor_filtermodel_stack1_block1_deep_2_se_1_conv_BiasAdd_0, ts->tu2.tensor_filtermodel_stack1_block1_deep_2_se_relu_Relu_0);
node_filtermodel_stack1_block1_deep_2_se_2_conv_BiasAdd( ts->tu2.tensor_filtermodel_stack1_block1_deep_2_se_relu_Relu_0, tensor_filtermodel_stack1_block1_deep_2_se_2_conv_Conv2D_ReadVariableOp_0, tensor_filtermodel_stack1_block1_deep_2_se_2_conv_BiasAdd_ReadVariableOp_0, ts->tu3.tensor_filtermodel_stack1_block1_deep_2_se_2_conv_BiasAdd_0);
node_filtermodel_stack1_block1_deep_2_se_sigmoid_Sigmoid( ts->tu3.tensor_filtermodel_stack1_block1_deep_2_se_2_conv_BiasAdd_0, ts->tu2.tensor_filtermodel_stack1_block1_deep_2_se_sigmoid_Sigmoid_0);
node_filtermodel_stack1_block1_deep_2_se_out_mul( ts->tu0.tensor_filtermodel_stack1_block1_deep_2_relu_Relu_0, ts->tu2.tensor_filtermodel_stack1_block1_deep_2_se_sigmoid_Sigmoid_0, ts->tu3.tensor_filtermodel_stack1_block1_deep_2_se_out_mul_0);
node_filtermodel_stack1_block1_deep_3_conv_Conv2D( ts->tu3.tensor_filtermodel_stack1_block1_deep_2_se_out_mul_0, tensor_filtermodel_stack1_block1_deep_3_conv_Conv2D_weights_fused_bn, tensor_filtermodel_stack1_block1_deep_3_conv_Conv2D_bias_fused_bn, ts->tu0.tensor_filtermodel_stack1_block1_3_bn_FusedBatchNormV3_0);
node_filtermodel_stack1_block1_add_add( ts->tu1.tensor_filtermodel_stack1_block1_shortcut_bn_FusedBatchNormV3_0, ts->tu0.tensor_filtermodel_stack1_block1_3_bn_FusedBatchNormV3_0, ts->tu2.tensor_filtermodel_stack1_block1_add_add_0);
node_filtermodel_stack1_block1_out_relu_Relu( ts->tu2.tensor_filtermodel_stack1_block1_add_add_0, ts->tu0.tensor_filtermodel_stack1_block1_out_relu_Relu_0);
node_filtermodel_stack1_block2_deep_1_conv_Conv2D( ts->tu0.tensor_filtermodel_stack1_block1_out_relu_Relu_0, tensor_filtermodel_stack1_block2_deep_1_conv_Conv2D_weights_fused_bn, tensor_filtermodel_stack1_block2_deep_1_conv_Conv2D_bias_fused_bn, ts->tu1.tensor_filtermodel_stack1_block2_deep_1_bn_FusedBatchNormV3_0);
node_filtermodel_stack1_block2_deep_1_relu_Relu( ts->tu1.tensor_filtermodel_stack1_block2_deep_1_bn_FusedBatchNormV3_0, ts->tu2.tensor_filtermodel_stack1_block2_deep_1_relu_Relu_0);
node_filtermodel_stack1_block2_deep_2_GC_conv_Conv2D( ts->tu2.tensor_filtermodel_stack1_block2_deep_1_relu_Relu_0, tensor_filtermodel_stack1_block2_deep_2_GC_conv_Conv2D_weights_fused_bn, tensor_filtermodel_stack1_block2_deep_2_GC_conv_Conv2D_bias_fused_bn, ts->tu1.tensor_filtermodel_stack1_block2_deep_2_bn_FusedBatchNormV3_0);
node_filtermodel_stack1_block2_deep_2_relu_Relu( ts->tu1.tensor_filtermodel_stack1_block2_deep_2_bn_FusedBatchNormV3_0, ts->tu2.tensor_filtermodel_stack1_block2_deep_2_relu_Relu_0);
node_filtermodel_tf_math_reduce_mean_1_Mean( ts->tu2.tensor_filtermodel_stack1_block2_deep_2_relu_Relu_0, ts->tu1.tensor_filtermodel_tf_math_reduce_mean_1_Mean_0);
node_filtermodel_stack1_block2_deep_2_se_1_conv_BiasAdd( ts->tu1.tensor_filtermodel_tf_math_reduce_mean_1_Mean_0, tensor_filtermodel_stack1_block2_deep_2_se_1_conv_Conv2D_ReadVariableOp_0, tensor_filtermodel_stack1_block2_deep_2_se_1_conv_BiasAdd_ReadVariableOp_0, ts->tu3.tensor_filtermodel_stack1_block2_deep_2_se_1_conv_BiasAdd_0);
node_filtermodel_stack1_block2_deep_2_se_relu_Relu( ts->tu3.tensor_filtermodel_stack1_block2_deep_2_se_1_conv_BiasAdd_0, ts->tu1.tensor_filtermodel_stack1_block2_deep_2_se_relu_Relu_0);
node_filtermodel_stack1_block2_deep_2_se_2_conv_BiasAdd( ts->tu1.tensor_filtermodel_stack1_block2_deep_2_se_relu_Relu_0, tensor_filtermodel_stack1_block2_deep_2_se_2_conv_Conv2D_ReadVariableOp_0, tensor_filtermodel_stack1_block2_deep_2_se_2_conv_BiasAdd_ReadVariableOp_0, ts->tu3.tensor_filtermodel_stack1_block2_deep_2_se_2_conv_BiasAdd_0);
node_filtermodel_stack1_block2_deep_2_se_sigmoid_Sigmoid( ts->tu3.tensor_filtermodel_stack1_block2_deep_2_se_2_conv_BiasAdd_0, ts->tu1.tensor_filtermodel_stack1_block2_deep_2_se_sigmoid_Sigmoid_0);
node_filtermodel_stack1_block2_deep_2_se_out_mul( ts->tu2.tensor_filtermodel_stack1_block2_deep_2_relu_Relu_0, ts->tu1.tensor_filtermodel_stack1_block2_deep_2_se_sigmoid_Sigmoid_0, ts->tu3.tensor_filtermodel_stack1_block2_deep_2_se_out_mul_0);
node_filtermodel_stack1_block2_deep_3_conv_Conv2D( ts->tu3.tensor_filtermodel_stack1_block2_deep_2_se_out_mul_0, tensor_filtermodel_stack1_block2_deep_3_conv_Conv2D_weights_fused_bn, tensor_filtermodel_stack1_block2_deep_3_conv_Conv2D_bias_fused_bn, ts->tu1.tensor_filtermodel_stack1_block2_3_bn_FusedBatchNormV3_0);
node_filtermodel_stack1_block2_add_add( ts->tu0.tensor_filtermodel_stack1_block1_out_relu_Relu_0, ts->tu1.tensor_filtermodel_stack1_block2_3_bn_FusedBatchNormV3_0, ts->tu2.tensor_filtermodel_stack1_block2_add_add_0);
node_filtermodel_stack1_block2_out_relu_Relu( ts->tu2.tensor_filtermodel_stack1_block2_add_add_0, ts->tu0.tensor_filtermodel_stack1_block2_out_relu_Relu_0);
node_filtermodel_stack2_block1_shortcut_conv_Conv2D( ts->tu0.tensor_filtermodel_stack1_block2_out_relu_Relu_0, tensor_filtermodel_stack2_block1_shortcut_conv_Conv2D_weights_fused_bn, tensor_filtermodel_stack2_block1_shortcut_conv_Conv2D_bias_fused_bn, ts->tu1.tensor_filtermodel_stack2_block1_shortcut_bn_FusedBatchNormV3_0);
node_filtermodel_stack2_block1_deep_1_conv_Conv2D( ts->tu0.tensor_filtermodel_stack1_block2_out_relu_Relu_0, tensor_filtermodel_stack2_block1_deep_1_conv_Conv2D_weights_fused_bn, tensor_filtermodel_stack2_block1_deep_1_conv_Conv2D_bias_fused_bn, ts->tu2.tensor_filtermodel_stack2_block1_deep_1_bn_FusedBatchNormV3_0);
node_filtermodel_stack2_block1_deep_1_relu_Relu( ts->tu2.tensor_filtermodel_stack2_block1_deep_1_bn_FusedBatchNormV3_0, ts->tu0.tensor_filtermodel_stack2_block1_deep_1_relu_Relu_0);
node_filtermodel_stack2_block1_deep_2_GC_conv_Conv2D( ts->tu0.tensor_filtermodel_stack2_block1_deep_1_relu_Relu_0, tensor_filtermodel_stack2_block1_deep_2_GC_conv_Conv2D_weights_fused_bn, tensor_filtermodel_stack2_block1_deep_2_GC_conv_Conv2D_bias_fused_bn, ts->tu2.tensor_filtermodel_stack2_block1_deep_2_bn_FusedBatchNormV3_0);
node_filtermodel_stack2_block1_deep_2_relu_Relu( ts->tu2.tensor_filtermodel_stack2_block1_deep_2_bn_FusedBatchNormV3_0, ts->tu0.tensor_filtermodel_stack2_block1_deep_2_relu_Relu_0);
node_filtermodel_tf_math_reduce_mean_2_Mean( ts->tu0.tensor_filtermodel_stack2_block1_deep_2_relu_Relu_0, ts->tu2.tensor_filtermodel_tf_math_reduce_mean_2_Mean_0);
node_filtermodel_stack2_block1_deep_2_se_1_conv_BiasAdd( ts->tu2.tensor_filtermodel_tf_math_reduce_mean_2_Mean_0, tensor_filtermodel_stack2_block1_deep_2_se_1_conv_Conv2D_ReadVariableOp_0, tensor_filtermodel_stack2_block1_deep_2_se_1_conv_BiasAdd_ReadVariableOp_0, ts->tu3.tensor_filtermodel_stack2_block1_deep_2_se_1_conv_BiasAdd_0);
node_filtermodel_stack2_block1_deep_2_se_relu_Relu( ts->tu3.tensor_filtermodel_stack2_block1_deep_2_se_1_conv_BiasAdd_0, ts->tu2.tensor_filtermodel_stack2_block1_deep_2_se_relu_Relu_0);
node_filtermodel_stack2_block1_deep_2_se_2_conv_BiasAdd( ts->tu2.tensor_filtermodel_stack2_block1_deep_2_se_relu_Relu_0, tensor_filtermodel_stack2_block1_deep_2_se_2_conv_Conv2D_ReadVariableOp_0, tensor_filtermodel_stack2_block1_deep_2_se_2_conv_BiasAdd_ReadVariableOp_0, ts->tu3.tensor_filtermodel_stack2_block1_deep_2_se_2_conv_BiasAdd_0);
node_filtermodel_stack2_block1_deep_2_se_sigmoid_Sigmoid( ts->tu3.tensor_filtermodel_stack2_block1_deep_2_se_2_conv_BiasAdd_0, ts->tu2.tensor_filtermodel_stack2_block1_deep_2_se_sigmoid_Sigmoid_0);
node_filtermodel_stack2_block1_deep_2_se_out_mul( ts->tu0.tensor_filtermodel_stack2_block1_deep_2_relu_Relu_0, ts->tu2.tensor_filtermodel_stack2_block1_deep_2_se_sigmoid_Sigmoid_0, ts->tu3.tensor_filtermodel_stack2_block1_deep_2_se_out_mul_0);
node_filtermodel_stack2_block1_deep_3_conv_Conv2D( ts->tu3.tensor_filtermodel_stack2_block1_deep_2_se_out_mul_0, tensor_filtermodel_stack2_block1_deep_3_conv_Conv2D_weights_fused_bn, tensor_filtermodel_stack2_block1_deep_3_conv_Conv2D_bias_fused_bn, ts->tu0.tensor_filtermodel_stack2_block1_3_bn_FusedBatchNormV3_0);
node_filtermodel_stack2_block1_add_add( ts->tu1.tensor_filtermodel_stack2_block1_shortcut_bn_FusedBatchNormV3_0, ts->tu0.tensor_filtermodel_stack2_block1_3_bn_FusedBatchNormV3_0, ts->tu2.tensor_filtermodel_stack2_block1_add_add_0);
node_filtermodel_stack2_block1_out_relu_Relu( ts->tu2.tensor_filtermodel_stack2_block1_add_add_0, ts->tu0.tensor_filtermodel_stack2_block1_out_relu_Relu_0);
node_filtermodel_stack2_block2_deep_1_conv_Conv2D( ts->tu0.tensor_filtermodel_stack2_block1_out_relu_Relu_0, tensor_filtermodel_stack2_block2_deep_1_conv_Conv2D_weights_fused_bn, tensor_filtermodel_stack2_block2_deep_1_conv_Conv2D_bias_fused_bn, ts->tu1.tensor_filtermodel_stack2_block2_deep_1_bn_FusedBatchNormV3_0);
node_filtermodel_stack2_block2_deep_1_relu_Relu( ts->tu1.tensor_filtermodel_stack2_block2_deep_1_bn_FusedBatchNormV3_0, ts->tu2.tensor_filtermodel_stack2_block2_deep_1_relu_Relu_0);
node_filtermodel_stack2_block2_deep_2_GC_conv_Conv2D( ts->tu2.tensor_filtermodel_stack2_block2_deep_1_relu_Relu_0, tensor_filtermodel_stack2_block2_deep_2_GC_conv_Conv2D_weights_fused_bn, tensor_filtermodel_stack2_block2_deep_2_GC_conv_Conv2D_bias_fused_bn, ts->tu1.tensor_filtermodel_stack2_block2_deep_2_bn_FusedBatchNormV3_0);
node_filtermodel_stack2_block2_deep_2_relu_Relu( ts->tu1.tensor_filtermodel_stack2_block2_deep_2_bn_FusedBatchNormV3_0, ts->tu2.tensor_filtermodel_stack2_block2_deep_2_relu_Relu_0);
node_filtermodel_tf_math_reduce_mean_3_Mean( ts->tu2.tensor_filtermodel_stack2_block2_deep_2_relu_Relu_0, ts->tu1.tensor_filtermodel_tf_math_reduce_mean_3_Mean_0);
node_filtermodel_stack2_block2_deep_2_se_1_conv_BiasAdd( ts->tu1.tensor_filtermodel_tf_math_reduce_mean_3_Mean_0, tensor_filtermodel_stack2_block2_deep_2_se_1_conv_Conv2D_ReadVariableOp_0, tensor_filtermodel_stack2_block2_deep_2_se_1_conv_BiasAdd_ReadVariableOp_0, ts->tu3.tensor_filtermodel_stack2_block2_deep_2_se_1_conv_BiasAdd_0);
node_filtermodel_stack2_block2_deep_2_se_relu_Relu( ts->tu3.tensor_filtermodel_stack2_block2_deep_2_se_1_conv_BiasAdd_0, ts->tu1.tensor_filtermodel_stack2_block2_deep_2_se_relu_Relu_0);
node_filtermodel_stack2_block2_deep_2_se_2_conv_BiasAdd( ts->tu1.tensor_filtermodel_stack2_block2_deep_2_se_relu_Relu_0, tensor_filtermodel_stack2_block2_deep_2_se_2_conv_Conv2D_ReadVariableOp_0, tensor_filtermodel_stack2_block2_deep_2_se_2_conv_BiasAdd_ReadVariableOp_0, ts->tu3.tensor_filtermodel_stack2_block2_deep_2_se_2_conv_BiasAdd_0);
node_filtermodel_stack2_block2_deep_2_se_sigmoid_Sigmoid( ts->tu3.tensor_filtermodel_stack2_block2_deep_2_se_2_conv_BiasAdd_0, ts->tu1.tensor_filtermodel_stack2_block2_deep_2_se_sigmoid_Sigmoid_0);
node_filtermodel_stack2_block2_deep_2_se_out_mul( ts->tu2.tensor_filtermodel_stack2_block2_deep_2_relu_Relu_0, ts->tu1.tensor_filtermodel_stack2_block2_deep_2_se_sigmoid_Sigmoid_0, ts->tu3.tensor_filtermodel_stack2_block2_deep_2_se_out_mul_0);
node_filtermodel_stack2_block2_deep_3_conv_Conv2D( ts->tu3.tensor_filtermodel_stack2_block2_deep_2_se_out_mul_0, tensor_filtermodel_stack2_block2_deep_3_conv_Conv2D_weights_fused_bn, tensor_filtermodel_stack2_block2_deep_3_conv_Conv2D_bias_fused_bn, ts->tu1.tensor_filtermodel_stack2_block2_3_bn_FusedBatchNormV3_0);
node_filtermodel_stack2_block2_add_add( ts->tu0.tensor_filtermodel_stack2_block1_out_relu_Relu_0, ts->tu1.tensor_filtermodel_stack2_block2_3_bn_FusedBatchNormV3_0, ts->tu2.tensor_filtermodel_stack2_block2_add_add_0);
node_filtermodel_stack2_block2_out_relu_Relu( ts->tu2.tensor_filtermodel_stack2_block2_add_add_0, ts->tu0.tensor_filtermodel_stack2_block2_out_relu_Relu_0);
node_filtermodel_stack2_block3_deep_1_conv_Conv2D( ts->tu0.tensor_filtermodel_stack2_block2_out_relu_Relu_0, tensor_filtermodel_stack2_block3_deep_1_conv_Conv2D_weights_fused_bn, tensor_filtermodel_stack2_block3_deep_1_conv_Conv2D_bias_fused_bn, ts->tu1.tensor_filtermodel_stack2_block3_deep_1_bn_FusedBatchNormV3_0);
node_filtermodel_stack2_block3_deep_1_relu_Relu( ts->tu1.tensor_filtermodel_stack2_block3_deep_1_bn_FusedBatchNormV3_0, ts->tu2.tensor_filtermodel_stack2_block3_deep_1_relu_Relu_0);
node_filtermodel_stack2_block3_deep_2_GC_conv_Conv2D( ts->tu2.tensor_filtermodel_stack2_block3_deep_1_relu_Relu_0, tensor_filtermodel_stack2_block3_deep_2_GC_conv_Conv2D_weights_fused_bn, tensor_filtermodel_stack2_block3_deep_2_GC_conv_Conv2D_bias_fused_bn, ts->tu1.tensor_filtermodel_stack2_block3_deep_2_bn_FusedBatchNormV3_0);
node_filtermodel_stack2_block3_deep_2_relu_Relu( ts->tu1.tensor_filtermodel_stack2_block3_deep_2_bn_FusedBatchNormV3_0, ts->tu2.tensor_filtermodel_stack2_block3_deep_2_relu_Relu_0);
node_filtermodel_tf_math_reduce_mean_4_Mean( ts->tu2.tensor_filtermodel_stack2_block3_deep_2_relu_Relu_0, ts->tu1.tensor_filtermodel_tf_math_reduce_mean_4_Mean_0);
node_filtermodel_stack2_block3_deep_2_se_1_conv_BiasAdd( ts->tu1.tensor_filtermodel_tf_math_reduce_mean_4_Mean_0, tensor_filtermodel_stack2_block3_deep_2_se_1_conv_Conv2D_ReadVariableOp_0, tensor_filtermodel_stack2_block3_deep_2_se_1_conv_BiasAdd_ReadVariableOp_0, ts->tu3.tensor_filtermodel_stack2_block3_deep_2_se_1_conv_BiasAdd_0);
node_filtermodel_stack2_block3_deep_2_se_relu_Relu( ts->tu3.tensor_filtermodel_stack2_block3_deep_2_se_1_conv_BiasAdd_0, ts->tu1.tensor_filtermodel_stack2_block3_deep_2_se_relu_Relu_0);
node_filtermodel_stack2_block3_deep_2_se_2_conv_BiasAdd( ts->tu1.tensor_filtermodel_stack2_block3_deep_2_se_relu_Relu_0, tensor_filtermodel_stack2_block3_deep_2_se_2_conv_Conv2D_ReadVariableOp_0, tensor_filtermodel_stack2_block3_deep_2_se_2_conv_BiasAdd_ReadVariableOp_0, ts->tu3.tensor_filtermodel_stack2_block3_deep_2_se_2_conv_BiasAdd_0);
node_filtermodel_stack2_block3_deep_2_se_sigmoid_Sigmoid( ts->tu3.tensor_filtermodel_stack2_block3_deep_2_se_2_conv_BiasAdd_0, ts->tu1.tensor_filtermodel_stack2_block3_deep_2_se_sigmoid_Sigmoid_0);
node_filtermodel_stack2_block3_deep_2_se_out_mul( ts->tu2.tensor_filtermodel_stack2_block3_deep_2_relu_Relu_0, ts->tu1.tensor_filtermodel_stack2_block3_deep_2_se_sigmoid_Sigmoid_0, ts->tu3.tensor_filtermodel_stack2_block3_deep_2_se_out_mul_0);
node_filtermodel_stack2_block3_deep_3_conv_Conv2D( ts->tu3.tensor_filtermodel_stack2_block3_deep_2_se_out_mul_0, tensor_filtermodel_stack2_block3_deep_3_conv_Conv2D_weights_fused_bn, tensor_filtermodel_stack2_block3_deep_3_conv_Conv2D_bias_fused_bn, ts->tu1.tensor_filtermodel_stack2_block3_3_bn_FusedBatchNormV3_0);
node_filtermodel_stack2_block3_add_add( ts->tu0.tensor_filtermodel_stack2_block2_out_relu_Relu_0, ts->tu1.tensor_filtermodel_stack2_block3_3_bn_FusedBatchNormV3_0, ts->tu2.tensor_filtermodel_stack2_block3_add_add_0);
node_filtermodel_stack2_block3_out_relu_Relu( ts->tu2.tensor_filtermodel_stack2_block3_add_add_0, ts->tu0.tensor_filtermodel_stack2_block3_out_relu_Relu_0);
node_filtermodel_stack2_block4_deep_1_conv_Conv2D( ts->tu0.tensor_filtermodel_stack2_block3_out_relu_Relu_0, tensor_filtermodel_stack2_block4_deep_1_conv_Conv2D_weights_fused_bn, tensor_filtermodel_stack2_block4_deep_1_conv_Conv2D_bias_fused_bn, ts->tu1.tensor_filtermodel_stack2_block4_deep_1_bn_FusedBatchNormV3_0);
node_filtermodel_stack2_block4_deep_1_relu_Relu( ts->tu1.tensor_filtermodel_stack2_block4_deep_1_bn_FusedBatchNormV3_0, ts->tu2.tensor_filtermodel_stack2_block4_deep_1_relu_Relu_0);
node_filtermodel_stack2_block4_deep_2_GC_conv_Conv2D( ts->tu2.tensor_filtermodel_stack2_block4_deep_1_relu_Relu_0, tensor_filtermodel_stack2_block4_deep_2_GC_conv_Conv2D_weights_fused_bn, tensor_filtermodel_stack2_block4_deep_2_GC_conv_Conv2D_bias_fused_bn, ts->tu1.tensor_filtermodel_stack2_block4_deep_2_bn_FusedBatchNormV3_0);
node_filtermodel_stack2_block4_deep_2_relu_Relu( ts->tu1.tensor_filtermodel_stack2_block4_deep_2_bn_FusedBatchNormV3_0, ts->tu2.tensor_filtermodel_stack2_block4_deep_2_relu_Relu_0);
node_filtermodel_tf_math_reduce_mean_5_Mean( ts->tu2.tensor_filtermodel_stack2_block4_deep_2_relu_Relu_0, ts->tu1.tensor_filtermodel_tf_math_reduce_mean_5_Mean_0);
node_filtermodel_stack2_block4_deep_2_se_1_conv_BiasAdd( ts->tu1.tensor_filtermodel_tf_math_reduce_mean_5_Mean_0, tensor_filtermodel_stack2_block4_deep_2_se_1_conv_Conv2D_ReadVariableOp_0, tensor_filtermodel_stack2_block4_deep_2_se_1_conv_BiasAdd_ReadVariableOp_0, ts->tu3.tensor_filtermodel_stack2_block4_deep_2_se_1_conv_BiasAdd_0);
node_filtermodel_stack2_block4_deep_2_se_relu_Relu( ts->tu3.tensor_filtermodel_stack2_block4_deep_2_se_1_conv_BiasAdd_0, ts->tu1.tensor_filtermodel_stack2_block4_deep_2_se_relu_Relu_0);
node_filtermodel_stack2_block4_deep_2_se_2_conv_BiasAdd( ts->tu1.tensor_filtermodel_stack2_block4_deep_2_se_relu_Relu_0, tensor_filtermodel_stack2_block4_deep_2_se_2_conv_Conv2D_ReadVariableOp_0, tensor_filtermodel_stack2_block4_deep_2_se_2_conv_BiasAdd_ReadVariableOp_0, ts->tu3.tensor_filtermodel_stack2_block4_deep_2_se_2_conv_BiasAdd_0);
node_filtermodel_stack2_block4_deep_2_se_sigmoid_Sigmoid( ts->tu3.tensor_filtermodel_stack2_block4_deep_2_se_2_conv_BiasAdd_0, ts->tu1.tensor_filtermodel_stack2_block4_deep_2_se_sigmoid_Sigmoid_0);
node_filtermodel_stack2_block4_deep_2_se_out_mul( ts->tu2.tensor_filtermodel_stack2_block4_deep_2_relu_Relu_0, ts->tu1.tensor_filtermodel_stack2_block4_deep_2_se_sigmoid_Sigmoid_0, ts->tu3.tensor_filtermodel_stack2_block4_deep_2_se_out_mul_0);
node_filtermodel_stack2_block4_deep_3_conv_Conv2D( ts->tu3.tensor_filtermodel_stack2_block4_deep_2_se_out_mul_0, tensor_filtermodel_stack2_block4_deep_3_conv_Conv2D_weights_fused_bn, tensor_filtermodel_stack2_block4_deep_3_conv_Conv2D_bias_fused_bn, ts->tu1.tensor_filtermodel_stack2_block4_3_bn_FusedBatchNormV3_0);
node_filtermodel_stack2_block4_add_add( ts->tu0.tensor_filtermodel_stack2_block3_out_relu_Relu_0, ts->tu1.tensor_filtermodel_stack2_block4_3_bn_FusedBatchNormV3_0, ts->tu2.tensor_filtermodel_stack2_block4_add_add_0);
node_filtermodel_stack2_block4_out_relu_Relu( ts->tu2.tensor_filtermodel_stack2_block4_add_add_0, ts->tu0.tensor_filtermodel_stack2_block4_out_relu_Relu_0);
node_filtermodel_stack3_block1_shortcut_conv_Conv2D( ts->tu0.tensor_filtermodel_stack2_block4_out_relu_Relu_0, tensor_filtermodel_stack3_block1_shortcut_conv_Conv2D_weights_fused_bn, tensor_filtermodel_stack3_block1_shortcut_conv_Conv2D_bias_fused_bn, ts->tu1.tensor_filtermodel_stack3_block1_shortcut_bn_FusedBatchNormV3_0);
node_filtermodel_stack3_block1_deep_1_conv_Conv2D( ts->tu0.tensor_filtermodel_stack2_block4_out_relu_Relu_0, tensor_filtermodel_stack3_block1_deep_1_conv_Conv2D_weights_fused_bn, tensor_filtermodel_stack3_block1_deep_1_conv_Conv2D_bias_fused_bn, ts->tu2.tensor_filtermodel_stack3_block1_deep_1_bn_FusedBatchNormV3_0);
node_filtermodel_stack3_block1_deep_1_relu_Relu( ts->tu2.tensor_filtermodel_stack3_block1_deep_1_bn_FusedBatchNormV3_0, ts->tu0.tensor_filtermodel_stack3_block1_deep_1_relu_Relu_0);
node_filtermodel_stack3_block1_deep_2_GC_conv_Conv2D( ts->tu0.tensor_filtermodel_stack3_block1_deep_1_relu_Relu_0, tensor_filtermodel_stack3_block1_deep_2_GC_conv_Conv2D_weights_fused_bn, tensor_filtermodel_stack3_block1_deep_2_GC_conv_Conv2D_bias_fused_bn, ts->tu2.tensor_filtermodel_stack3_block1_deep_2_bn_FusedBatchNormV3_0);
node_filtermodel_stack3_block1_deep_2_relu_Relu( ts->tu2.tensor_filtermodel_stack3_block1_deep_2_bn_FusedBatchNormV3_0, ts->tu0.tensor_filtermodel_stack3_block1_deep_2_relu_Relu_0);
node_filtermodel_tf_math_reduce_mean_6_Mean( ts->tu0.tensor_filtermodel_stack3_block1_deep_2_relu_Relu_0, ts->tu2.tensor_filtermodel_tf_math_reduce_mean_6_Mean_0);
node_filtermodel_stack3_block1_deep_2_se_1_conv_BiasAdd( ts->tu2.tensor_filtermodel_tf_math_reduce_mean_6_Mean_0, tensor_filtermodel_stack3_block1_deep_2_se_1_conv_Conv2D_ReadVariableOp_0, tensor_filtermodel_stack3_block1_deep_2_se_1_conv_BiasAdd_ReadVariableOp_0, ts->tu3.tensor_filtermodel_stack3_block1_deep_2_se_1_conv_BiasAdd_0);
node_filtermodel_stack3_block1_deep_2_se_relu_Relu( ts->tu3.tensor_filtermodel_stack3_block1_deep_2_se_1_conv_BiasAdd_0, ts->tu2.tensor_filtermodel_stack3_block1_deep_2_se_relu_Relu_0);
node_filtermodel_stack3_block1_deep_2_se_2_conv_BiasAdd( ts->tu2.tensor_filtermodel_stack3_block1_deep_2_se_relu_Relu_0, tensor_filtermodel_stack3_block1_deep_2_se_2_conv_Conv2D_ReadVariableOp_0, tensor_filtermodel_stack3_block1_deep_2_se_2_conv_BiasAdd_ReadVariableOp_0, ts->tu3.tensor_filtermodel_stack3_block1_deep_2_se_2_conv_BiasAdd_0);
node_filtermodel_stack3_block1_deep_2_se_sigmoid_Sigmoid( ts->tu3.tensor_filtermodel_stack3_block1_deep_2_se_2_conv_BiasAdd_0, ts->tu2.tensor_filtermodel_stack3_block1_deep_2_se_sigmoid_Sigmoid_0);
node_filtermodel_stack3_block1_deep_2_se_out_mul( ts->tu0.tensor_filtermodel_stack3_block1_deep_2_relu_Relu_0, ts->tu2.tensor_filtermodel_stack3_block1_deep_2_se_sigmoid_Sigmoid_0, ts->tu3.tensor_filtermodel_stack3_block1_deep_2_se_out_mul_0);
node_filtermodel_stack3_block1_deep_3_conv_Conv2D( ts->tu3.tensor_filtermodel_stack3_block1_deep_2_se_out_mul_0, tensor_filtermodel_stack3_block1_deep_3_conv_Conv2D_weights_fused_bn, tensor_filtermodel_stack3_block1_deep_3_conv_Conv2D_bias_fused_bn, ts->tu0.tensor_filtermodel_stack3_block1_3_bn_FusedBatchNormV3_0);
node_filtermodel_stack3_block1_add_add( ts->tu1.tensor_filtermodel_stack3_block1_shortcut_bn_FusedBatchNormV3_0, ts->tu0.tensor_filtermodel_stack3_block1_3_bn_FusedBatchNormV3_0, ts->tu2.tensor_filtermodel_stack3_block1_add_add_0);
node_filtermodel_stack3_block1_out_relu_Relu( ts->tu2.tensor_filtermodel_stack3_block1_add_add_0, ts->tu0.tensor_filtermodel_stack3_block1_out_relu_Relu_0);
node_filtermodel_stack3_block2_deep_1_conv_Conv2D( ts->tu0.tensor_filtermodel_stack3_block1_out_relu_Relu_0, tensor_filtermodel_stack3_block2_deep_1_conv_Conv2D_weights_fused_bn, tensor_filtermodel_stack3_block2_deep_1_conv_Conv2D_bias_fused_bn, ts->tu1.tensor_filtermodel_stack3_block2_deep_1_bn_FusedBatchNormV3_0);
node_filtermodel_stack3_block2_deep_1_relu_Relu( ts->tu1.tensor_filtermodel_stack3_block2_deep_1_bn_FusedBatchNormV3_0, ts->tu2.tensor_filtermodel_stack3_block2_deep_1_relu_Relu_0);
node_filtermodel_stack3_block2_deep_2_GC_conv_Conv2D( ts->tu2.tensor_filtermodel_stack3_block2_deep_1_relu_Relu_0, tensor_filtermodel_stack3_block2_deep_2_GC_conv_Conv2D_weights_fused_bn, tensor_filtermodel_stack3_block2_deep_2_GC_conv_Conv2D_bias_fused_bn, ts->tu1.tensor_filtermodel_stack3_block2_deep_2_bn_FusedBatchNormV3_0);
node_filtermodel_stack3_block2_deep_2_relu_Relu( ts->tu1.tensor_filtermodel_stack3_block2_deep_2_bn_FusedBatchNormV3_0, ts->tu2.tensor_filtermodel_stack3_block2_deep_2_relu_Relu_0);
node_filtermodel_tf_math_reduce_mean_7_Mean( ts->tu2.tensor_filtermodel_stack3_block2_deep_2_relu_Relu_0, ts->tu1.tensor_filtermodel_tf_math_reduce_mean_7_Mean_0);
node_filtermodel_stack3_block2_deep_2_se_1_conv_BiasAdd( ts->tu1.tensor_filtermodel_tf_math_reduce_mean_7_Mean_0, tensor_filtermodel_stack3_block2_deep_2_se_1_conv_Conv2D_ReadVariableOp_0, tensor_filtermodel_stack3_block2_deep_2_se_1_conv_BiasAdd_ReadVariableOp_0, ts->tu3.tensor_filtermodel_stack3_block2_deep_2_se_1_conv_BiasAdd_0);
node_filtermodel_stack3_block2_deep_2_se_relu_Relu( ts->tu3.tensor_filtermodel_stack3_block2_deep_2_se_1_conv_BiasAdd_0, ts->tu1.tensor_filtermodel_stack3_block2_deep_2_se_relu_Relu_0);
node_filtermodel_stack3_block2_deep_2_se_2_conv_BiasAdd( ts->tu1.tensor_filtermodel_stack3_block2_deep_2_se_relu_Relu_0, tensor_filtermodel_stack3_block2_deep_2_se_2_conv_Conv2D_ReadVariableOp_0, tensor_filtermodel_stack3_block2_deep_2_se_2_conv_BiasAdd_ReadVariableOp_0, ts->tu3.tensor_filtermodel_stack3_block2_deep_2_se_2_conv_BiasAdd_0);
node_filtermodel_stack3_block2_deep_2_se_sigmoid_Sigmoid( ts->tu3.tensor_filtermodel_stack3_block2_deep_2_se_2_conv_BiasAdd_0, ts->tu1.tensor_filtermodel_stack3_block2_deep_2_se_sigmoid_Sigmoid_0);
node_filtermodel_stack3_block2_deep_2_se_out_mul( ts->tu2.tensor_filtermodel_stack3_block2_deep_2_relu_Relu_0, ts->tu1.tensor_filtermodel_stack3_block2_deep_2_se_sigmoid_Sigmoid_0, ts->tu3.tensor_filtermodel_stack3_block2_deep_2_se_out_mul_0);
node_filtermodel_stack3_block2_deep_3_conv_Conv2D( ts->tu3.tensor_filtermodel_stack3_block2_deep_2_se_out_mul_0, tensor_filtermodel_stack3_block2_deep_3_conv_Conv2D_weights_fused_bn, tensor_filtermodel_stack3_block2_deep_3_conv_Conv2D_bias_fused_bn, ts->tu1.tensor_filtermodel_stack3_block2_3_bn_FusedBatchNormV3_0);
node_filtermodel_stack3_block2_add_add( ts->tu0.tensor_filtermodel_stack3_block1_out_relu_Relu_0, ts->tu1.tensor_filtermodel_stack3_block2_3_bn_FusedBatchNormV3_0, ts->tu2.tensor_filtermodel_stack3_block2_add_add_0);
node_filtermodel_stack3_block2_out_relu_Relu( ts->tu2.tensor_filtermodel_stack3_block2_add_add_0, ts->tu0.tensor_filtermodel_stack3_block2_out_relu_Relu_0);
node_filtermodel_stack3_block3_deep_1_conv_Conv2D( ts->tu0.tensor_filtermodel_stack3_block2_out_relu_Relu_0, tensor_filtermodel_stack3_block3_deep_1_conv_Conv2D_weights_fused_bn, tensor_filtermodel_stack3_block3_deep_1_conv_Conv2D_bias_fused_bn, ts->tu1.tensor_filtermodel_stack3_block3_deep_1_bn_FusedBatchNormV3_0);
node_filtermodel_stack3_block3_deep_1_relu_Relu( ts->tu1.tensor_filtermodel_stack3_block3_deep_1_bn_FusedBatchNormV3_0, ts->tu2.tensor_filtermodel_stack3_block3_deep_1_relu_Relu_0);
node_filtermodel_stack3_block3_deep_2_GC_conv_Conv2D( ts->tu2.tensor_filtermodel_stack3_block3_deep_1_relu_Relu_0, tensor_filtermodel_stack3_block3_deep_2_GC_conv_Conv2D_weights_fused_bn, tensor_filtermodel_stack3_block3_deep_2_GC_conv_Conv2D_bias_fused_bn, ts->tu1.tensor_filtermodel_stack3_block3_deep_2_bn_FusedBatchNormV3_0);
node_filtermodel_stack3_block3_deep_2_relu_Relu( ts->tu1.tensor_filtermodel_stack3_block3_deep_2_bn_FusedBatchNormV3_0, ts->tu2.tensor_filtermodel_stack3_block3_deep_2_relu_Relu_0);
node_filtermodel_tf_math_reduce_mean_8_Mean( ts->tu2.tensor_filtermodel_stack3_block3_deep_2_relu_Relu_0, ts->tu1.tensor_filtermodel_tf_math_reduce_mean_8_Mean_0);
node_filtermodel_stack3_block3_deep_2_se_1_conv_BiasAdd( ts->tu1.tensor_filtermodel_tf_math_reduce_mean_8_Mean_0, tensor_filtermodel_stack3_block3_deep_2_se_1_conv_Conv2D_ReadVariableOp_0, tensor_filtermodel_stack3_block3_deep_2_se_1_conv_BiasAdd_ReadVariableOp_0, ts->tu3.tensor_filtermodel_stack3_block3_deep_2_se_1_conv_BiasAdd_0);
node_filtermodel_stack3_block3_deep_2_se_relu_Relu( ts->tu3.tensor_filtermodel_stack3_block3_deep_2_se_1_conv_BiasAdd_0, ts->tu1.tensor_filtermodel_stack3_block3_deep_2_se_relu_Relu_0);
node_filtermodel_stack3_block3_deep_2_se_2_conv_BiasAdd( ts->tu1.tensor_filtermodel_stack3_block3_deep_2_se_relu_Relu_0, tensor_filtermodel_stack3_block3_deep_2_se_2_conv_Conv2D_ReadVariableOp_0, tensor_filtermodel_stack3_block3_deep_2_se_2_conv_BiasAdd_ReadVariableOp_0, ts->tu3.tensor_filtermodel_stack3_block3_deep_2_se_2_conv_BiasAdd_0);
node_filtermodel_stack3_block3_deep_2_se_sigmoid_Sigmoid( ts->tu3.tensor_filtermodel_stack3_block3_deep_2_se_2_conv_BiasAdd_0, ts->tu1.tensor_filtermodel_stack3_block3_deep_2_se_sigmoid_Sigmoid_0);
node_filtermodel_stack3_block3_deep_2_se_out_mul( ts->tu2.tensor_filtermodel_stack3_block3_deep_2_relu_Relu_0, ts->tu1.tensor_filtermodel_stack3_block3_deep_2_se_sigmoid_Sigmoid_0, ts->tu3.tensor_filtermodel_stack3_block3_deep_2_se_out_mul_0);
node_filtermodel_stack3_block3_deep_3_conv_Conv2D( ts->tu3.tensor_filtermodel_stack3_block3_deep_2_se_out_mul_0, tensor_filtermodel_stack3_block3_deep_3_conv_Conv2D_weights_fused_bn, tensor_filtermodel_stack3_block3_deep_3_conv_Conv2D_bias_fused_bn, ts->tu1.tensor_filtermodel_stack3_block3_3_bn_FusedBatchNormV3_0);
node_filtermodel_stack3_block3_add_add( ts->tu0.tensor_filtermodel_stack3_block2_out_relu_Relu_0, ts->tu1.tensor_filtermodel_stack3_block3_3_bn_FusedBatchNormV3_0, ts->tu2.tensor_filtermodel_stack3_block3_add_add_0);
node_filtermodel_stack3_block3_out_relu_Relu( ts->tu2.tensor_filtermodel_stack3_block3_add_add_0, ts->tu0.tensor_filtermodel_stack3_block3_out_relu_Relu_0);
node_filtermodel_stack3_block4_deep_1_conv_Conv2D( ts->tu0.tensor_filtermodel_stack3_block3_out_relu_Relu_0, tensor_filtermodel_stack3_block4_deep_1_conv_Conv2D_weights_fused_bn, tensor_filtermodel_stack3_block4_deep_1_conv_Conv2D_bias_fused_bn, ts->tu1.tensor_filtermodel_stack3_block4_deep_1_bn_FusedBatchNormV3_0);
node_filtermodel_stack3_block4_deep_1_relu_Relu( ts->tu1.tensor_filtermodel_stack3_block4_deep_1_bn_FusedBatchNormV3_0, ts->tu2.tensor_filtermodel_stack3_block4_deep_1_relu_Relu_0);
node_filtermodel_stack3_block4_deep_2_GC_conv_Conv2D( ts->tu2.tensor_filtermodel_stack3_block4_deep_1_relu_Relu_0, tensor_filtermodel_stack3_block4_deep_2_GC_conv_Conv2D_weights_fused_bn, tensor_filtermodel_stack3_block4_deep_2_GC_conv_Conv2D_bias_fused_bn, ts->tu1.tensor_filtermodel_stack3_block4_deep_2_bn_FusedBatchNormV3_0);
node_filtermodel_stack3_block4_deep_2_relu_Relu( ts->tu1.tensor_filtermodel_stack3_block4_deep_2_bn_FusedBatchNormV3_0, ts->tu2.tensor_filtermodel_stack3_block4_deep_2_relu_Relu_0);
node_filtermodel_tf_math_reduce_mean_9_Mean( ts->tu2.tensor_filtermodel_stack3_block4_deep_2_relu_Relu_0, ts->tu1.tensor_filtermodel_tf_math_reduce_mean_9_Mean_0);
node_filtermodel_stack3_block4_deep_2_se_1_conv_BiasAdd( ts->tu1.tensor_filtermodel_tf_math_reduce_mean_9_Mean_0, tensor_filtermodel_stack3_block4_deep_2_se_1_conv_Conv2D_ReadVariableOp_0, tensor_filtermodel_stack3_block4_deep_2_se_1_conv_BiasAdd_ReadVariableOp_0, ts->tu3.tensor_filtermodel_stack3_block4_deep_2_se_1_conv_BiasAdd_0);
node_filtermodel_stack3_block4_deep_2_se_relu_Relu( ts->tu3.tensor_filtermodel_stack3_block4_deep_2_se_1_conv_BiasAdd_0, ts->tu1.tensor_filtermodel_stack3_block4_deep_2_se_relu_Relu_0);
node_filtermodel_stack3_block4_deep_2_se_2_conv_BiasAdd( ts->tu1.tensor_filtermodel_stack3_block4_deep_2_se_relu_Relu_0, tensor_filtermodel_stack3_block4_deep_2_se_2_conv_Conv2D_ReadVariableOp_0, tensor_filtermodel_stack3_block4_deep_2_se_2_conv_BiasAdd_ReadVariableOp_0, ts->tu3.tensor_filtermodel_stack3_block4_deep_2_se_2_conv_BiasAdd_0);
node_filtermodel_stack3_block4_deep_2_se_sigmoid_Sigmoid( ts->tu3.tensor_filtermodel_stack3_block4_deep_2_se_2_conv_BiasAdd_0, ts->tu1.tensor_filtermodel_stack3_block4_deep_2_se_sigmoid_Sigmoid_0);
node_filtermodel_stack3_block4_deep_2_se_out_mul( ts->tu2.tensor_filtermodel_stack3_block4_deep_2_relu_Relu_0, ts->tu1.tensor_filtermodel_stack3_block4_deep_2_se_sigmoid_Sigmoid_0, ts->tu3.tensor_filtermodel_stack3_block4_deep_2_se_out_mul_0);
node_filtermodel_stack3_block4_deep_3_conv_Conv2D( ts->tu3.tensor_filtermodel_stack3_block4_deep_2_se_out_mul_0, tensor_filtermodel_stack3_block4_deep_3_conv_Conv2D_weights_fused_bn, tensor_filtermodel_stack3_block4_deep_3_conv_Conv2D_bias_fused_bn, ts->tu1.tensor_filtermodel_stack3_block4_3_bn_FusedBatchNormV3_0);
node_filtermodel_stack3_block4_add_add( ts->tu0.tensor_filtermodel_stack3_block3_out_relu_Relu_0, ts->tu1.tensor_filtermodel_stack3_block4_3_bn_FusedBatchNormV3_0, ts->tu2.tensor_filtermodel_stack3_block4_add_add_0);
node_filtermodel_stack3_block4_out_relu_Relu( ts->tu2.tensor_filtermodel_stack3_block4_add_add_0, ts->tu0.tensor_filtermodel_stack3_block4_out_relu_Relu_0);
node_filtermodel_stack3_block5_deep_1_conv_Conv2D( ts->tu0.tensor_filtermodel_stack3_block4_out_relu_Relu_0, tensor_filtermodel_stack3_block5_deep_1_conv_Conv2D_weights_fused_bn, tensor_filtermodel_stack3_block5_deep_1_conv_Conv2D_bias_fused_bn, ts->tu1.tensor_filtermodel_stack3_block5_deep_1_bn_FusedBatchNormV3_0);
node_filtermodel_stack3_block5_deep_1_relu_Relu( ts->tu1.tensor_filtermodel_stack3_block5_deep_1_bn_FusedBatchNormV3_0, ts->tu2.tensor_filtermodel_stack3_block5_deep_1_relu_Relu_0);
node_filtermodel_stack3_block5_deep_2_GC_conv_Conv2D( ts->tu2.tensor_filtermodel_stack3_block5_deep_1_relu_Relu_0, tensor_filtermodel_stack3_block5_deep_2_GC_conv_Conv2D_weights_fused_bn, tensor_filtermodel_stack3_block5_deep_2_GC_conv_Conv2D_bias_fused_bn, ts->tu1.tensor_filtermodel_stack3_block5_deep_2_bn_FusedBatchNormV3_0);
node_filtermodel_stack3_block5_deep_2_relu_Relu( ts->tu1.tensor_filtermodel_stack3_block5_deep_2_bn_FusedBatchNormV3_0, ts->tu2.tensor_filtermodel_stack3_block5_deep_2_relu_Relu_0);
node_filtermodel_tf_math_reduce_mean_10_Mean( ts->tu2.tensor_filtermodel_stack3_block5_deep_2_relu_Relu_0, ts->tu1.tensor_filtermodel_tf_math_reduce_mean_10_Mean_0);
node_filtermodel_stack3_block5_deep_2_se_1_conv_BiasAdd( ts->tu1.tensor_filtermodel_tf_math_reduce_mean_10_Mean_0, tensor_filtermodel_stack3_block5_deep_2_se_1_conv_Conv2D_ReadVariableOp_0, tensor_filtermodel_stack3_block5_deep_2_se_1_conv_BiasAdd_ReadVariableOp_0, ts->tu3.tensor_filtermodel_stack3_block5_deep_2_se_1_conv_BiasAdd_0);
node_filtermodel_stack3_block5_deep_2_se_relu_Relu( ts->tu3.tensor_filtermodel_stack3_block5_deep_2_se_1_conv_BiasAdd_0, ts->tu1.tensor_filtermodel_stack3_block5_deep_2_se_relu_Relu_0);
node_filtermodel_stack3_block5_deep_2_se_2_conv_BiasAdd( ts->tu1.tensor_filtermodel_stack3_block5_deep_2_se_relu_Relu_0, tensor_filtermodel_stack3_block5_deep_2_se_2_conv_Conv2D_ReadVariableOp_0, tensor_filtermodel_stack3_block5_deep_2_se_2_conv_BiasAdd_ReadVariableOp_0, ts->tu3.tensor_filtermodel_stack3_block5_deep_2_se_2_conv_BiasAdd_0);
node_filtermodel_stack3_block5_deep_2_se_sigmoid_Sigmoid( ts->tu3.tensor_filtermodel_stack3_block5_deep_2_se_2_conv_BiasAdd_0, ts->tu1.tensor_filtermodel_stack3_block5_deep_2_se_sigmoid_Sigmoid_0);
node_filtermodel_stack3_block5_deep_2_se_out_mul( ts->tu2.tensor_filtermodel_stack3_block5_deep_2_relu_Relu_0, ts->tu1.tensor_filtermodel_stack3_block5_deep_2_se_sigmoid_Sigmoid_0, ts->tu3.tensor_filtermodel_stack3_block5_deep_2_se_out_mul_0);
node_filtermodel_stack3_block5_deep_3_conv_Conv2D( ts->tu3.tensor_filtermodel_stack3_block5_deep_2_se_out_mul_0, tensor_filtermodel_stack3_block5_deep_3_conv_Conv2D_weights_fused_bn, tensor_filtermodel_stack3_block5_deep_3_conv_Conv2D_bias_fused_bn, ts->tu1.tensor_filtermodel_stack3_block5_3_bn_FusedBatchNormV3_0);
node_filtermodel_stack3_block5_add_add( ts->tu0.tensor_filtermodel_stack3_block4_out_relu_Relu_0, ts->tu1.tensor_filtermodel_stack3_block5_3_bn_FusedBatchNormV3_0, ts->tu2.tensor_filtermodel_stack3_block5_add_add_0);
node_filtermodel_stack3_block5_out_relu_Relu( ts->tu2.tensor_filtermodel_stack3_block5_add_add_0, ts->tu0.tensor_filtermodel_stack3_block5_out_relu_Relu_0);
node_filtermodel_stack3_block6_deep_1_conv_Conv2D( ts->tu0.tensor_filtermodel_stack3_block5_out_relu_Relu_0, tensor_filtermodel_stack3_block6_deep_1_conv_Conv2D_weights_fused_bn, tensor_filtermodel_stack3_block6_deep_1_conv_Conv2D_bias_fused_bn, ts->tu1.tensor_filtermodel_stack3_block6_deep_1_bn_FusedBatchNormV3_0);
node_filtermodel_stack3_block6_deep_1_relu_Relu( ts->tu1.tensor_filtermodel_stack3_block6_deep_1_bn_FusedBatchNormV3_0, ts->tu2.tensor_filtermodel_stack3_block6_deep_1_relu_Relu_0);
node_filtermodel_stack3_block6_deep_2_GC_conv_Conv2D( ts->tu2.tensor_filtermodel_stack3_block6_deep_1_relu_Relu_0, tensor_filtermodel_stack3_block6_deep_2_GC_conv_Conv2D_weights_fused_bn, tensor_filtermodel_stack3_block6_deep_2_GC_conv_Conv2D_bias_fused_bn, ts->tu1.tensor_filtermodel_stack3_block6_deep_2_bn_FusedBatchNormV3_0);
node_filtermodel_stack3_block6_deep_2_relu_Relu( ts->tu1.tensor_filtermodel_stack3_block6_deep_2_bn_FusedBatchNormV3_0, ts->tu2.tensor_filtermodel_stack3_block6_deep_2_relu_Relu_0);
node_filtermodel_tf_math_reduce_mean_11_Mean( ts->tu2.tensor_filtermodel_stack3_block6_deep_2_relu_Relu_0, ts->tu1.tensor_filtermodel_tf_math_reduce_mean_11_Mean_0);
node_filtermodel_stack3_block6_deep_2_se_1_conv_BiasAdd( ts->tu1.tensor_filtermodel_tf_math_reduce_mean_11_Mean_0, tensor_filtermodel_stack3_block6_deep_2_se_1_conv_Conv2D_ReadVariableOp_0, tensor_filtermodel_stack3_block6_deep_2_se_1_conv_BiasAdd_ReadVariableOp_0, ts->tu3.tensor_filtermodel_stack3_block6_deep_2_se_1_conv_BiasAdd_0);
node_filtermodel_stack3_block6_deep_2_se_relu_Relu( ts->tu3.tensor_filtermodel_stack3_block6_deep_2_se_1_conv_BiasAdd_0, ts->tu1.tensor_filtermodel_stack3_block6_deep_2_se_relu_Relu_0);
node_filtermodel_stack3_block6_deep_2_se_2_conv_BiasAdd( ts->tu1.tensor_filtermodel_stack3_block6_deep_2_se_relu_Relu_0, tensor_filtermodel_stack3_block6_deep_2_se_2_conv_Conv2D_ReadVariableOp_0, tensor_filtermodel_stack3_block6_deep_2_se_2_conv_BiasAdd_ReadVariableOp_0, ts->tu3.tensor_filtermodel_stack3_block6_deep_2_se_2_conv_BiasAdd_0);
node_filtermodel_stack3_block6_deep_2_se_sigmoid_Sigmoid( ts->tu3.tensor_filtermodel_stack3_block6_deep_2_se_2_conv_BiasAdd_0, ts->tu1.tensor_filtermodel_stack3_block6_deep_2_se_sigmoid_Sigmoid_0);
node_filtermodel_stack3_block6_deep_2_se_out_mul( ts->tu2.tensor_filtermodel_stack3_block6_deep_2_relu_Relu_0, ts->tu1.tensor_filtermodel_stack3_block6_deep_2_se_sigmoid_Sigmoid_0, ts->tu3.tensor_filtermodel_stack3_block6_deep_2_se_out_mul_0);
node_filtermodel_stack3_block6_deep_3_conv_Conv2D( ts->tu3.tensor_filtermodel_stack3_block6_deep_2_se_out_mul_0, tensor_filtermodel_stack3_block6_deep_3_conv_Conv2D_weights_fused_bn, tensor_filtermodel_stack3_block6_deep_3_conv_Conv2D_bias_fused_bn, ts->tu1.tensor_filtermodel_stack3_block6_3_bn_FusedBatchNormV3_0);
node_filtermodel_stack3_block6_add_add( ts->tu0.tensor_filtermodel_stack3_block5_out_relu_Relu_0, ts->tu1.tensor_filtermodel_stack3_block6_3_bn_FusedBatchNormV3_0, ts->tu2.tensor_filtermodel_stack3_block6_add_add_0);
node_filtermodel_stack3_block6_out_relu_Relu( ts->tu2.tensor_filtermodel_stack3_block6_add_add_0, ts->tu0.tensor_filtermodel_stack3_block6_out_relu_Relu_0);
node_filtermodel_stack3_block7_deep_1_conv_Conv2D( ts->tu0.tensor_filtermodel_stack3_block6_out_relu_Relu_0, tensor_filtermodel_stack3_block7_deep_1_conv_Conv2D_weights_fused_bn, tensor_filtermodel_stack3_block7_deep_1_conv_Conv2D_bias_fused_bn, ts->tu1.tensor_filtermodel_stack3_block7_deep_1_bn_FusedBatchNormV3_0);
node_filtermodel_stack3_block7_deep_1_relu_Relu( ts->tu1.tensor_filtermodel_stack3_block7_deep_1_bn_FusedBatchNormV3_0, ts->tu2.tensor_filtermodel_stack3_block7_deep_1_relu_Relu_0);
node_filtermodel_stack3_block7_deep_2_GC_conv_Conv2D( ts->tu2.tensor_filtermodel_stack3_block7_deep_1_relu_Relu_0, tensor_filtermodel_stack3_block7_deep_2_GC_conv_Conv2D_weights_fused_bn, tensor_filtermodel_stack3_block7_deep_2_GC_conv_Conv2D_bias_fused_bn, ts->tu1.tensor_filtermodel_stack3_block7_deep_2_bn_FusedBatchNormV3_0);
node_filtermodel_stack3_block7_deep_2_relu_Relu( ts->tu1.tensor_filtermodel_stack3_block7_deep_2_bn_FusedBatchNormV3_0, ts->tu2.tensor_filtermodel_stack3_block7_deep_2_relu_Relu_0);
node_filtermodel_tf_math_reduce_mean_12_Mean( ts->tu2.tensor_filtermodel_stack3_block7_deep_2_relu_Relu_0, ts->tu1.tensor_filtermodel_tf_math_reduce_mean_12_Mean_0);
node_filtermodel_stack3_block7_deep_2_se_1_conv_BiasAdd( ts->tu1.tensor_filtermodel_tf_math_reduce_mean_12_Mean_0, tensor_filtermodel_stack3_block7_deep_2_se_1_conv_Conv2D_ReadVariableOp_0, tensor_filtermodel_stack3_block7_deep_2_se_1_conv_BiasAdd_ReadVariableOp_0, ts->tu3.tensor_filtermodel_stack3_block7_deep_2_se_1_conv_BiasAdd_0);
node_filtermodel_stack3_block7_deep_2_se_relu_Relu( ts->tu3.tensor_filtermodel_stack3_block7_deep_2_se_1_conv_BiasAdd_0, ts->tu1.tensor_filtermodel_stack3_block7_deep_2_se_relu_Relu_0);
node_filtermodel_stack3_block7_deep_2_se_2_conv_BiasAdd( ts->tu1.tensor_filtermodel_stack3_block7_deep_2_se_relu_Relu_0, tensor_filtermodel_stack3_block7_deep_2_se_2_conv_Conv2D_ReadVariableOp_0, tensor_filtermodel_stack3_block7_deep_2_se_2_conv_BiasAdd_ReadVariableOp_0, ts->tu3.tensor_filtermodel_stack3_block7_deep_2_se_2_conv_BiasAdd_0);
node_filtermodel_stack3_block7_deep_2_se_sigmoid_Sigmoid( ts->tu3.tensor_filtermodel_stack3_block7_deep_2_se_2_conv_BiasAdd_0, ts->tu1.tensor_filtermodel_stack3_block7_deep_2_se_sigmoid_Sigmoid_0);
node_filtermodel_stack3_block7_deep_2_se_out_mul( ts->tu2.tensor_filtermodel_stack3_block7_deep_2_relu_Relu_0, ts->tu1.tensor_filtermodel_stack3_block7_deep_2_se_sigmoid_Sigmoid_0, ts->tu3.tensor_filtermodel_stack3_block7_deep_2_se_out_mul_0);
node_filtermodel_stack3_block7_deep_3_conv_Conv2D( ts->tu3.tensor_filtermodel_stack3_block7_deep_2_se_out_mul_0, tensor_filtermodel_stack3_block7_deep_3_conv_Conv2D_weights_fused_bn, tensor_filtermodel_stack3_block7_deep_3_conv_Conv2D_bias_fused_bn, ts->tu1.tensor_filtermodel_stack3_block7_3_bn_FusedBatchNormV3_0);
node_filtermodel_stack3_block7_add_add( ts->tu0.tensor_filtermodel_stack3_block6_out_relu_Relu_0, ts->tu1.tensor_filtermodel_stack3_block7_3_bn_FusedBatchNormV3_0, ts->tu2.tensor_filtermodel_stack3_block7_add_add_0);
node_filtermodel_stack3_block7_out_relu_Relu( ts->tu2.tensor_filtermodel_stack3_block7_add_add_0, ts->tu0.tensor_filtermodel_stack3_block7_out_relu_Relu_0);
node_filtermodel_stack3_block8_deep_1_conv_Conv2D( ts->tu0.tensor_filtermodel_stack3_block7_out_relu_Relu_0, tensor_filtermodel_stack3_block8_deep_1_conv_Conv2D_weights_fused_bn, tensor_filtermodel_stack3_block8_deep_1_conv_Conv2D_bias_fused_bn, ts->tu1.tensor_filtermodel_stack3_block8_deep_1_bn_FusedBatchNormV3_0);
node_filtermodel_stack3_block8_deep_1_relu_Relu( ts->tu1.tensor_filtermodel_stack3_block8_deep_1_bn_FusedBatchNormV3_0, ts->tu2.tensor_filtermodel_stack3_block8_deep_1_relu_Relu_0);
node_filtermodel_stack3_block8_deep_2_GC_conv_Conv2D( ts->tu2.tensor_filtermodel_stack3_block8_deep_1_relu_Relu_0, tensor_filtermodel_stack3_block8_deep_2_GC_conv_Conv2D_weights_fused_bn, tensor_filtermodel_stack3_block8_deep_2_GC_conv_Conv2D_bias_fused_bn, ts->tu1.tensor_filtermodel_stack3_block8_deep_2_bn_FusedBatchNormV3_0);
node_filtermodel_stack3_block8_deep_2_relu_Relu( ts->tu1.tensor_filtermodel_stack3_block8_deep_2_bn_FusedBatchNormV3_0, ts->tu2.tensor_filtermodel_stack3_block8_deep_2_relu_Relu_0);
node_filtermodel_tf_math_reduce_mean_13_Mean( ts->tu2.tensor_filtermodel_stack3_block8_deep_2_relu_Relu_0, ts->tu1.tensor_filtermodel_tf_math_reduce_mean_13_Mean_0);
node_filtermodel_stack3_block8_deep_2_se_1_conv_BiasAdd( ts->tu1.tensor_filtermodel_tf_math_reduce_mean_13_Mean_0, tensor_filtermodel_stack3_block8_deep_2_se_1_conv_Conv2D_ReadVariableOp_0, tensor_filtermodel_stack3_block8_deep_2_se_1_conv_BiasAdd_ReadVariableOp_0, ts->tu3.tensor_filtermodel_stack3_block8_deep_2_se_1_conv_BiasAdd_0);
node_filtermodel_stack3_block8_deep_2_se_relu_Relu( ts->tu3.tensor_filtermodel_stack3_block8_deep_2_se_1_conv_BiasAdd_0, ts->tu1.tensor_filtermodel_stack3_block8_deep_2_se_relu_Relu_0);
node_filtermodel_stack3_block8_deep_2_se_2_conv_BiasAdd( ts->tu1.tensor_filtermodel_stack3_block8_deep_2_se_relu_Relu_0, tensor_filtermodel_stack3_block8_deep_2_se_2_conv_Conv2D_ReadVariableOp_0, tensor_filtermodel_stack3_block8_deep_2_se_2_conv_BiasAdd_ReadVariableOp_0, ts->tu3.tensor_filtermodel_stack3_block8_deep_2_se_2_conv_BiasAdd_0);
node_filtermodel_stack3_block8_deep_2_se_sigmoid_Sigmoid( ts->tu3.tensor_filtermodel_stack3_block8_deep_2_se_2_conv_BiasAdd_0, ts->tu1.tensor_filtermodel_stack3_block8_deep_2_se_sigmoid_Sigmoid_0);
node_filtermodel_stack3_block8_deep_2_se_out_mul( ts->tu2.tensor_filtermodel_stack3_block8_deep_2_relu_Relu_0, ts->tu1.tensor_filtermodel_stack3_block8_deep_2_se_sigmoid_Sigmoid_0, ts->tu3.tensor_filtermodel_stack3_block8_deep_2_se_out_mul_0);
node_filtermodel_stack3_block8_deep_3_conv_Conv2D( ts->tu3.tensor_filtermodel_stack3_block8_deep_2_se_out_mul_0, tensor_filtermodel_stack3_block8_deep_3_conv_Conv2D_weights_fused_bn, tensor_filtermodel_stack3_block8_deep_3_conv_Conv2D_bias_fused_bn, ts->tu1.tensor_filtermodel_stack3_block8_3_bn_FusedBatchNormV3_0);
node_filtermodel_stack3_block8_add_add( ts->tu0.tensor_filtermodel_stack3_block7_out_relu_Relu_0, ts->tu1.tensor_filtermodel_stack3_block8_3_bn_FusedBatchNormV3_0, ts->tu2.tensor_filtermodel_stack3_block8_add_add_0);
node_filtermodel_stack3_block8_out_relu_Relu( ts->tu2.tensor_filtermodel_stack3_block8_add_add_0, ts->tu0.tensor_filtermodel_stack3_block8_out_relu_Relu_0);
node_filtermodel_stack3_block9_deep_1_conv_Conv2D( ts->tu0.tensor_filtermodel_stack3_block8_out_relu_Relu_0, tensor_filtermodel_stack3_block9_deep_1_conv_Conv2D_weights_fused_bn, tensor_filtermodel_stack3_block9_deep_1_conv_Conv2D_bias_fused_bn, ts->tu1.tensor_filtermodel_stack3_block9_deep_1_bn_FusedBatchNormV3_0);
node_filtermodel_stack3_block9_deep_1_relu_Relu( ts->tu1.tensor_filtermodel_stack3_block9_deep_1_bn_FusedBatchNormV3_0, ts->tu2.tensor_filtermodel_stack3_block9_deep_1_relu_Relu_0);
node_filtermodel_stack3_block9_deep_2_GC_conv_Conv2D( ts->tu2.tensor_filtermodel_stack3_block9_deep_1_relu_Relu_0, tensor_filtermodel_stack3_block9_deep_2_GC_conv_Conv2D_weights_fused_bn, tensor_filtermodel_stack3_block9_deep_2_GC_conv_Conv2D_bias_fused_bn, ts->tu1.tensor_filtermodel_stack3_block9_deep_2_bn_FusedBatchNormV3_0);
node_filtermodel_stack3_block9_deep_2_relu_Relu( ts->tu1.tensor_filtermodel_stack3_block9_deep_2_bn_FusedBatchNormV3_0, ts->tu2.tensor_filtermodel_stack3_block9_deep_2_relu_Relu_0);
node_filtermodel_tf_math_reduce_mean_14_Mean( ts->tu2.tensor_filtermodel_stack3_block9_deep_2_relu_Relu_0, ts->tu1.tensor_filtermodel_tf_math_reduce_mean_14_Mean_0);
node_filtermodel_stack3_block9_deep_2_se_1_conv_BiasAdd( ts->tu1.tensor_filtermodel_tf_math_reduce_mean_14_Mean_0, tensor_filtermodel_stack3_block9_deep_2_se_1_conv_Conv2D_ReadVariableOp_0, tensor_filtermodel_stack3_block9_deep_2_se_1_conv_BiasAdd_ReadVariableOp_0, ts->tu3.tensor_filtermodel_stack3_block9_deep_2_se_1_conv_BiasAdd_0);
node_filtermodel_stack3_block9_deep_2_se_relu_Relu( ts->tu3.tensor_filtermodel_stack3_block9_deep_2_se_1_conv_BiasAdd_0, ts->tu1.tensor_filtermodel_stack3_block9_deep_2_se_relu_Relu_0);
node_filtermodel_stack3_block9_deep_2_se_2_conv_BiasAdd( ts->tu1.tensor_filtermodel_stack3_block9_deep_2_se_relu_Relu_0, tensor_filtermodel_stack3_block9_deep_2_se_2_conv_Conv2D_ReadVariableOp_0, tensor_filtermodel_stack3_block9_deep_2_se_2_conv_BiasAdd_ReadVariableOp_0, ts->tu3.tensor_filtermodel_stack3_block9_deep_2_se_2_conv_BiasAdd_0);
node_filtermodel_stack3_block9_deep_2_se_sigmoid_Sigmoid( ts->tu3.tensor_filtermodel_stack3_block9_deep_2_se_2_conv_BiasAdd_0, ts->tu1.tensor_filtermodel_stack3_block9_deep_2_se_sigmoid_Sigmoid_0);
node_filtermodel_stack3_block9_deep_2_se_out_mul( ts->tu2.tensor_filtermodel_stack3_block9_deep_2_relu_Relu_0, ts->tu1.tensor_filtermodel_stack3_block9_deep_2_se_sigmoid_Sigmoid_0, ts->tu3.tensor_filtermodel_stack3_block9_deep_2_se_out_mul_0);
node_filtermodel_stack3_block9_deep_3_conv_Conv2D( ts->tu3.tensor_filtermodel_stack3_block9_deep_2_se_out_mul_0, tensor_filtermodel_stack3_block9_deep_3_conv_Conv2D_weights_fused_bn, tensor_filtermodel_stack3_block9_deep_3_conv_Conv2D_bias_fused_bn, ts->tu1.tensor_filtermodel_stack3_block9_3_bn_FusedBatchNormV3_0);
node_filtermodel_stack3_block9_add_add( ts->tu0.tensor_filtermodel_stack3_block8_out_relu_Relu_0, ts->tu1.tensor_filtermodel_stack3_block9_3_bn_FusedBatchNormV3_0, ts->tu2.tensor_filtermodel_stack3_block9_add_add_0);
node_filtermodel_stack3_block9_out_relu_Relu( ts->tu2.tensor_filtermodel_stack3_block9_add_add_0, ts->tu0.tensor_filtermodel_stack3_block9_out_relu_Relu_0);
node_filtermodel_stack3_block10_deep_1_conv_Conv2D( ts->tu0.tensor_filtermodel_stack3_block9_out_relu_Relu_0, tensor_filtermodel_stack3_block10_deep_1_conv_Conv2D_weights_fused_bn, tensor_filtermodel_stack3_block10_deep_1_conv_Conv2D_bias_fused_bn, ts->tu1.tensor_filtermodel_stack3_block10_deep_1_bn_FusedBatchNormV3_0);
node_filtermodel_stack3_block10_deep_1_relu_Relu( ts->tu1.tensor_filtermodel_stack3_block10_deep_1_bn_FusedBatchNormV3_0, ts->tu2.tensor_filtermodel_stack3_block10_deep_1_relu_Relu_0);
node_filtermodel_stack3_block10_deep_2_GC_conv_Conv2D( ts->tu2.tensor_filtermodel_stack3_block10_deep_1_relu_Relu_0, tensor_filtermodel_stack3_block10_deep_2_GC_conv_Conv2D_weights_fused_bn, tensor_filtermodel_stack3_block10_deep_2_GC_conv_Conv2D_bias_fused_bn, ts->tu1.tensor_filtermodel_stack3_block10_deep_2_bn_FusedBatchNormV3_0);
node_filtermodel_stack3_block10_deep_2_relu_Relu( ts->tu1.tensor_filtermodel_stack3_block10_deep_2_bn_FusedBatchNormV3_0, ts->tu2.tensor_filtermodel_stack3_block10_deep_2_relu_Relu_0);
node_filtermodel_tf_math_reduce_mean_15_Mean( ts->tu2.tensor_filtermodel_stack3_block10_deep_2_relu_Relu_0, ts->tu1.tensor_filtermodel_tf_math_reduce_mean_15_Mean_0);
node_filtermodel_stack3_block10_deep_2_se_1_conv_BiasAdd( ts->tu1.tensor_filtermodel_tf_math_reduce_mean_15_Mean_0, tensor_filtermodel_stack3_block10_deep_2_se_1_conv_Conv2D_ReadVariableOp_0, tensor_filtermodel_stack3_block10_deep_2_se_1_conv_BiasAdd_ReadVariableOp_0, ts->tu3.tensor_filtermodel_stack3_block10_deep_2_se_1_conv_BiasAdd_0);
node_filtermodel_stack3_block10_deep_2_se_relu_Relu( ts->tu3.tensor_filtermodel_stack3_block10_deep_2_se_1_conv_BiasAdd_0, ts->tu1.tensor_filtermodel_stack3_block10_deep_2_se_relu_Relu_0);
node_filtermodel_stack3_block10_deep_2_se_2_conv_BiasAdd( ts->tu1.tensor_filtermodel_stack3_block10_deep_2_se_relu_Relu_0, tensor_filtermodel_stack3_block10_deep_2_se_2_conv_Conv2D_ReadVariableOp_0, tensor_filtermodel_stack3_block10_deep_2_se_2_conv_BiasAdd_ReadVariableOp_0, ts->tu3.tensor_filtermodel_stack3_block10_deep_2_se_2_conv_BiasAdd_0);
node_filtermodel_stack3_block10_deep_2_se_sigmoid_Sigmoid( ts->tu3.tensor_filtermodel_stack3_block10_deep_2_se_2_conv_BiasAdd_0, ts->tu1.tensor_filtermodel_stack3_block10_deep_2_se_sigmoid_Sigmoid_0);
node_filtermodel_stack3_block10_deep_2_se_out_mul( ts->tu2.tensor_filtermodel_stack3_block10_deep_2_relu_Relu_0, ts->tu1.tensor_filtermodel_stack3_block10_deep_2_se_sigmoid_Sigmoid_0, ts->tu3.tensor_filtermodel_stack3_block10_deep_2_se_out_mul_0);
node_filtermodel_stack3_block10_deep_3_conv_Conv2D( ts->tu3.tensor_filtermodel_stack3_block10_deep_2_se_out_mul_0, tensor_filtermodel_stack3_block10_deep_3_conv_Conv2D_weights_fused_bn, tensor_filtermodel_stack3_block10_deep_3_conv_Conv2D_bias_fused_bn, ts->tu1.tensor_filtermodel_stack3_block10_3_bn_FusedBatchNormV3_0);
node_filtermodel_stack3_block10_add_add( ts->tu0.tensor_filtermodel_stack3_block9_out_relu_Relu_0, ts->tu1.tensor_filtermodel_stack3_block10_3_bn_FusedBatchNormV3_0, ts->tu2.tensor_filtermodel_stack3_block10_add_add_0);
node_filtermodel_stack3_block10_out_relu_Relu( ts->tu2.tensor_filtermodel_stack3_block10_add_add_0, ts->tu0.tensor_filtermodel_stack3_block10_out_relu_Relu_0);
node_filtermodel_stack4_block1_shortcut_conv_Conv2D( ts->tu0.tensor_filtermodel_stack3_block10_out_relu_Relu_0, tensor_filtermodel_stack4_block1_shortcut_conv_Conv2D_weights_fused_bn, tensor_filtermodel_stack4_block1_shortcut_conv_Conv2D_bias_fused_bn, ts->tu1.tensor_filtermodel_stack4_block1_shortcut_bn_FusedBatchNormV3_0);
node_filtermodel_stack4_block1_deep_1_conv_Conv2D( ts->tu0.tensor_filtermodel_stack3_block10_out_relu_Relu_0, tensor_filtermodel_stack4_block1_deep_1_conv_Conv2D_weights_fused_bn, tensor_filtermodel_stack4_block1_deep_1_conv_Conv2D_bias_fused_bn, ts->tu2.tensor_filtermodel_stack4_block1_deep_1_bn_FusedBatchNormV3_0);
node_filtermodel_stack4_block1_deep_1_relu_Relu( ts->tu2.tensor_filtermodel_stack4_block1_deep_1_bn_FusedBatchNormV3_0, ts->tu0.tensor_filtermodel_stack4_block1_deep_1_relu_Relu_0);
node_filtermodel_stack4_block1_deep_2_GC_conv_Conv2D( ts->tu0.tensor_filtermodel_stack4_block1_deep_1_relu_Relu_0, tensor_filtermodel_stack4_block1_deep_2_GC_conv_Conv2D_weights_fused_bn, tensor_filtermodel_stack4_block1_deep_2_GC_conv_Conv2D_bias_fused_bn, ts->tu2.tensor_filtermodel_stack4_block1_deep_2_bn_FusedBatchNormV3_0);
node_filtermodel_stack4_block1_deep_2_relu_Relu( ts->tu2.tensor_filtermodel_stack4_block1_deep_2_bn_FusedBatchNormV3_0, ts->tu0.tensor_filtermodel_stack4_block1_deep_2_relu_Relu_0);
node_filtermodel_tf_math_reduce_mean_16_Mean( ts->tu0.tensor_filtermodel_stack4_block1_deep_2_relu_Relu_0, ts->tu2.tensor_filtermodel_tf_math_reduce_mean_16_Mean_0);
node_filtermodel_stack4_block1_deep_2_se_1_conv_BiasAdd( ts->tu2.tensor_filtermodel_tf_math_reduce_mean_16_Mean_0, tensor_filtermodel_stack4_block1_deep_2_se_1_conv_Conv2D_ReadVariableOp_0, tensor_filtermodel_stack4_block1_deep_2_se_1_conv_BiasAdd_ReadVariableOp_0, ts->tu3.tensor_filtermodel_stack4_block1_deep_2_se_1_conv_BiasAdd_0);
node_filtermodel_stack4_block1_deep_2_se_relu_Relu( ts->tu3.tensor_filtermodel_stack4_block1_deep_2_se_1_conv_BiasAdd_0, ts->tu2.tensor_filtermodel_stack4_block1_deep_2_se_relu_Relu_0);
node_filtermodel_stack4_block1_deep_2_se_2_conv_BiasAdd( ts->tu2.tensor_filtermodel_stack4_block1_deep_2_se_relu_Relu_0, tensor_filtermodel_stack4_block1_deep_2_se_2_conv_Conv2D_ReadVariableOp_0, tensor_filtermodel_stack4_block1_deep_2_se_2_conv_BiasAdd_ReadVariableOp_0, ts->tu3.tensor_filtermodel_stack4_block1_deep_2_se_2_conv_BiasAdd_0);
node_filtermodel_stack4_block1_deep_2_se_sigmoid_Sigmoid( ts->tu3.tensor_filtermodel_stack4_block1_deep_2_se_2_conv_BiasAdd_0, ts->tu2.tensor_filtermodel_stack4_block1_deep_2_se_sigmoid_Sigmoid_0);
node_filtermodel_stack4_block1_deep_2_se_out_mul( ts->tu0.tensor_filtermodel_stack4_block1_deep_2_relu_Relu_0, ts->tu2.tensor_filtermodel_stack4_block1_deep_2_se_sigmoid_Sigmoid_0, ts->tu3.tensor_filtermodel_stack4_block1_deep_2_se_out_mul_0);
node_filtermodel_stack4_block1_deep_3_conv_Conv2D( ts->tu3.tensor_filtermodel_stack4_block1_deep_2_se_out_mul_0, tensor_filtermodel_stack4_block1_deep_3_conv_Conv2D_weights_fused_bn, tensor_filtermodel_stack4_block1_deep_3_conv_Conv2D_bias_fused_bn, ts->tu0.tensor_filtermodel_stack4_block1_3_bn_FusedBatchNormV3_0);
node_filtermodel_stack4_block1_add_add( ts->tu1.tensor_filtermodel_stack4_block1_shortcut_bn_FusedBatchNormV3_0, ts->tu0.tensor_filtermodel_stack4_block1_3_bn_FusedBatchNormV3_0, ts->tu2.tensor_filtermodel_stack4_block1_add_add_0);
node_filtermodel_stack4_block1_out_relu_Relu( ts->tu2.tensor_filtermodel_stack4_block1_add_add_0, ts->tu0.tensor_filtermodel_stack4_block1_out_relu_Relu_0);
node_filtermodel_avg_pool_Mean( ts->tu0.tensor_filtermodel_stack4_block1_out_relu_Relu_0, ts->tu1.tensor_filtermodel_avg_pool_Mean_0);
node_filtermodel_avg_pool_Mean_Squeeze__847( ts->tu1.tensor_filtermodel_avg_pool_Mean_0, tensor_const_axes__846, ts->tu0.tensor_filtermodel_avg_pool_Mean_Squeeze__847_0);
node_filtermodel_predictions_MatMul( ts->tu0.tensor_filtermodel_avg_pool_Mean_Squeeze__847_0, tensor_filtermodel_predictions_MatMul_ReadVariableOp_0, ts->tu1.tensor_filtermodel_predictions_MatMul_0);
node_filtermodel_predictions_BiasAdd( ts->tu1.tensor_filtermodel_predictions_MatMul_0, tensor_filtermodel_predictions_BiasAdd_ReadVariableOp_0, ts->tu0.tensor_filtermodel_predictions_BiasAdd_0);
node_filtermodel_predictions_Softmax( ts->tu0.tensor_filtermodel_predictions_BiasAdd_0, result);
}