update maisi contorlnet train config file (Project-MONAI#1762)

Fixes # .

### Description

Refactor the controlnet train configuration to reuse the network
definition in config_maisi.json, which can reduce redundancy.

### Checks
<!--- Put an `x` in all the boxes that apply, and remove the not
applicable items -->
- [ ] Avoid including large-size files in the PR.
- [ ] Clean up long text outputs from code cells in the notebook.
- [ ] For security purposes, please check the contents and remove any
sensitive info such as user names and private key.
- [ ] Ensure (1) hyperlinks and markdown anchors are working (2) use
relative paths for tutorial repo files (3) put figure and graphs in the
`./figure` folder
- [ ] Notebook runs automatically `./runner.sh -t <path to .ipynb file>`

Signed-off-by: Pengfei Guo <pengfeig@nvidia.com>

generative/maisi/configs/config_maisi_controlnet_train.json

@@ -1,72 +1,4 @@
 {
-    "random_seed": null,
-    "spatial_dims": 3,
-    "image_channels": 1,
-    "latent_channels": 4,
-    "diffusion_unet_def": {
-        "_target_": "monai.apps.generation.maisi.networks.diffusion_model_unet_maisi.DiffusionModelUNetMaisi",
-        "spatial_dims": "@spatial_dims",
-        "in_channels": "@latent_channels",
-        "out_channels": "@latent_channels",
-        "num_channels": [
-            64,
-            128,
-            256,
-            512
-        ],
-        "attention_levels": [
-            false,
-            false,
-            true,
-            true
-        ],
-        "num_head_channels": [
-            0,
-            0,
-            32,
-            32
-        ],
-        "num_res_blocks": 2,
-        "use_flash_attention": true,
-        "include_top_region_index_input": true,
-        "include_bottom_region_index_input": true,
-        "include_spacing_input": true
-    },
-    "controlnet_def": {
-        "_target_": "monai.apps.generation.maisi.networks.controlnet_maisi.ControlNetMaisi",
-        "spatial_dims": "@spatial_dims",
-        "in_channels": "@latent_channels",
-        "num_channels": [
-            64,
-            128,
-            256,
-            512
-        ],
-        "attention_levels": [
-            false,
-            false,
-            true,
-            true
-        ],
-        "num_head_channels": [
-            0,
-            0,
-            32,
-            32
-        ],
-        "num_res_blocks": 2,
-        "use_flash_attention": true,
-        "conditioning_embedding_in_channels": 8,
-        "conditioning_embedding_num_channels": [8, 32, 64]
-    },
-    "noise_scheduler": {
-        "_target_": "generative.networks.schedulers.DDPMScheduler",
-        "num_train_timesteps": 1000,
-        "beta_start": 0.0015,
-        "beta_end": 0.0195,
-        "schedule": "scaled_linear_beta",
-        "clip_sample": false
-    },
     "controlnet_train": {
         "batch_size": 1,
         "cache_rate": 0.0,

generative/maisi/scripts/train_controlnet.py

@@ -40,8 +40,14 @@ def main():
     parser.add_argument(
         "-c",
         "--config-file",
+        default="./configs/config_maisi.json",
+        help="config json file that stores network hyper-parameters",
+    )
+    parser.add_argument(
+        "-t",
+        "--training-config",
         default="./configs/config_maisi_controlnet_train.json",
-        help="config json file that stores hyper-parameters",
+        help="config json file that stores training hyper-parameters",
     )
     parser.add_argument("-g", "--gpus", default=1, type=int, help="number of gpus per node")
     args = parser.parse_args()
@@ -66,11 +72,14 @@ def main():
 
     env_dict = json.load(open(args.environment_file, "r"))
     config_dict = json.load(open(args.config_file, "r"))
+    training_config_dict = json.load(open(args.training_config, "r"))
 
     for k, v in env_dict.items():
         setattr(args, k, v)
     for k, v in config_dict.items():
         setattr(args, k, v)
+    for k, v in training_config_dict.items():
+        setattr(args, k, v)
 
     # initialize tensorboard writer
     if rank == 0: