code: def _get_model_config_weight_inflation(self):
      model_2d_config = {
          "name": "resnext3d",
          "frames_per_clip": 1,
          "input_planes": 3,
          "clip_crop_size": 224,
          "skip_transformation_type": "postactivated_shortcut",
          "residual_transformation_type": "postactivated_bottleneck_transformation",
          "num_blocks": [3, 4, 6, 3],
          "stem_name": "resnext3d_stem",
          "stem_planes": 64,
          "stem_temporal_kernel": 1,
          "stem_spatial_kernel": 7,
          "stem_maxpool": True,
          "stage_planes": 256,
          "stage_temporal_kernel_basis": [[1], [1], [1], [1]],
          "temporal_conv_1x1": [True, True, True, True],
          "stage_temporal_stride": [1, 1, 1, 1],
          "stage_spatial_stride": [1, 2, 2, 2],
          "num_groups": 1,
          "width_per_group": 64,
          "num_classes": 1000,
          "zero_init_residual_transform": True,
          "heads": [
              {
                  "name": "fully_convolutional_linear",
                  "unique_id": "default_head",
                  "pool_size": [1, 7, 7],
                  "activation_func": "softmax",
                  "num_classes": 1000,
                  "fork_block": "pathway0-stage4-block2",
                  "in_plane": 2048,
                  "use_dropout": False,
              }
          ],
      }
  
      model_3d_config = {
          "name": "resnext3d",
          "frames_per_clip": 8,
          "input_planes": 3,
          "clip_crop_size": 224,
          "skip_transformation_type": "postactivated_shortcut",
          "residual_transformation_type": "postactivated_bottleneck_transformation",
          "num_blocks": [3, 4, 6, 3],
          "input_key": "video",
          "stem_name": "resnext3d_stem",
          "stem_planes": 64,
          "stem_temporal_kernel": 5,
          "stem_spatial_kernel": 7,
          "stem_maxpool": True,
          "stage_planes": 256,
          "stage_temporal_kernel_basis": [[3], [3, 1], [3, 1], [1, 3]],
          "temporal_conv_1x1": [True, True, True, True],
          "stage_temporal_stride": [1, 1, 1, 1],
          "stage_spatial_stride": [1, 2, 2, 2],
          "num_groups": 1,
          "width_per_group": 64,
          "num_classes": 1000,
          "freeze_trunk": False,
          "zero_init_residual_transform": True,
          "heads": [
              {
                  "name": "fully_convolutional_linear",
                  "unique_id": "default_head",
                  "pool_size": [8, 7, 7],
                  "activation_func": "softmax",
                  "num_classes": 1000,
                  "fork_block": "pathway0-stage4-block2",
                  "in_plane": 2048,
                  "use_dropout": True,
              }
          ],
      }
      return model_2d_config, model_3d_config
  
file_path: ClassyVision/test/models_resnext3d_test.py
imports: import copy
  import unittest
  import torch
  from classy_vision.models import build_model, ClassyModel
  from test.generic.utils import compare_model_state
label_desc: Use image node_id 5 for calling the TestResNeXt3D obj's underlying member method code with example usage: obj._get_model_config_weight_inflation() and returns: model_2d_config,  model_3d_config