Error in training with the setting of "model type" -"Openpose" and "model.data_format"-"Channels_first"

[zpphigh]

hyperpose-master/hyperpose/Model/openpose/train.py:224 one_step * pd_conf,pd_paf,stage_confs,stage_pafs=train_model.forward(image,is_train=True) anaconda3/lib/python3.7/site-packages/tensorflow_core/python/eager/def_function.py:457 call result = self._call(*args, **kwds) hyperpose-master/hyperpose/Model/openpose/model/openpose.py:57 forward * init_conf,init_paf=self.init_stage.forward(backbone_features) hyperpose-master/hyperpose/Model/openpose/model/openpose.py:135 forward * conf_map=self.conf_block.forward(x) anaconda3/lib/python3.7/site-packages/tensorlayer/layers/core.py:673 forward * z = layer.forward(z) anaconda3/lib/python3.7/site-packages/tensorlayer/layers/activation.py:99 forward * neg = -self.alpha_var_constrained * tf.nn.relu(-inputs) anaconda3/lib/python3.7/site-packages/tensorflow_core/python/ops/math_ops.py:899 binary_op_wrapper return func(x, y, name=name) anaconda3/lib/python3.7/site-packages/tensorflow_core/python/ops/math_ops.py:1206 _mul_dispatch return gen_math_ops.mul(x, y, name=name) anaconda3/lib/python3.7/site-packages/tensorflow_core/python/ops/gen_math_ops.py:6701 mul "Mul", x=x, y=y, name=name) anaconda3/lib/python3.7/site-packages/tensorflow_core/python/framework/op_def_library.py:793 _apply_op_helper op_def=op_def) anaconda3/lib/python3.7/site-packages/tensorflow_core/python/framework/func_graph.py:548 create_op compute_device) anaconda3/lib/python3.7/site-packages/tensorflow_core/python/framework/ops.py:3429 _create_op_internal op_def=op_def) anaconda3/lib/python3.7/site-packages/tensorflow_core/python/framework/ops.py:1773 init control_input_ops) anaconda3/lib/python3.7/site-packages/tensorflow_core/python/framework/ops.py:1613 _create_c_op raise ValueError(str(e))

ValueError: Dimensions must be equal, but are 128 and 54 for 'mul' (op: 'Mul') with input shapes: [128], [8,128,46,54]