I have set input sparsetensor using same coordinate_manager
` sinput1 = ME.SparseTensor(features=input_dict['sinput_s_F'].to(self.device),
coordinates=input_dict['sinput_s_C'].to(self.device),
quantization_mode=ME.SparseTensorQuantizationMode.UNWEIGHTED_AVERAGE)
after same network downsample, when i want to cat two sparse tensor, it return
AssertionError: SparseTensors must have the same coordinate_map_key.coordinate map key:[8, 8, 16] != coordinate map key:[8, 8, 16]:fa37J
I have set input sparsetensor using same coordinate_manager ` sinput1 = ME.SparseTensor(features=input_dict['sinput_s_F'].to(self.device), coordinates=input_dict['sinput_s_C'].to(self.device), quantization_mode=ME.SparseTensorQuantizationMode.UNWEIGHTED_AVERAGE)
after same network downsample, when i want to cat two sparse tensor, it return
AssertionError: SparseTensors must have the same coordinate_map_key.coordinate map key:[8, 8, 16] != coordinate map key:[8, 8, 16]:fa37J