do inferencing err, help me how to solve

[g00302909]

test_real_refinement.py:94 inference  *
    pred_invcrf = _lin(C_pred, training= False)
/vsr/SingleHDR-tf2/linearization_net.py:321 call  *
    feature = self.crf_feature_net(
/vsr/SingleHDR-tf2/linearization_net.py:115 call  *
    res4  = self.res4(res3, training)
/vsr/SingleHDR-tf2/linearization_net.py:47 call  *
    output = tf.add(norm1, norm4)
/usr/local/lib/python3.7/dist-packages/tensorflow/python/ops/gen_math_ops.py:345 add  **
    "Add", x=x, y=y, name=name)
/usr/local/lib/python3.7/dist-packages/tensorflow/python/framework/op_def_library.py:750 _apply_op_helper
    attrs=attr_protos, op_def=op_def)
/usr/local/lib/python3.7/dist-packages/tensorflow/python/framework/func_graph.py:592 _create_op_internal
    compute_device)
/usr/local/lib/python3.7/dist-packages/tensorflow/python/framework/ops.py:3536 _create_op_internal
    op_def=op_def)
/usr/local/lib/python3.7/dist-packages/tensorflow/python/framework/ops.py:2016 __init__
    control_input_ops, op_def)
/usr/local/lib/python3.7/dist-packages/tensorflow/python/framework/ops.py:1856 _create_c_op
    raise ValueError(str(e))

ValueError: Dimensions must be equal, but are 144 and 36 for '{{node model_1/crf_feature_net/res_block_type1_1/Add}} = Add[T=DT_FLOAT](model_1/crf_feature_net/res_block_type1_1/batch_normalization_11/FusedBatchNormV3, model_1/crf_feature_net/res_block_type1_1/batch_normalization_14/FusedBatchNormV3)' with input shapes: [1,144,248,512], [1,36,62,512]