Add warning if jsbeutifier not installed, set default for h5 in infer…

…ence, fix import (#237)

Co-authored-by: Mohammad Amin Nabian <m.a.nabiyan@gmail.com>

modulus/experimental/sfno/inference.py

@@ -45,6 +45,7 @@
     parser.add_argument("--cuda_graph_mode", default='none', type=str, choices=["none", "fwdbwd", "step"], help="Specify which parts to capture under cuda graph")
     parser.add_argument("--enable_benchy", action='store_true')
     parser.add_argument("--disable_ddp", action='store_true')
+    parser.add_argument("--enable_odirect", action='store_true')
     parser.add_argument("--enable_nhwc", action='store_true')
     parser.add_argument("--checkpointing_level", default=0, type=int, help="How aggressively checkpointing is used")
     parser.add_argument("--epsilon_factor", default = 0, type = float)
@@ -58,6 +59,11 @@
     # parse
     args = parser.parse_args()
 
+    # check whether the right h5py package is installed
+    odirect_env_var_name = "ENABLE_H5PY_ODIRECT"
+    if args.enable_odirect and os.environ.get(odirect_env_var_name, "False").lower() != "true":
+        raise RuntimeError(f"Error, {odirect_env_var_name} h5py with MPI support is not installed. Please refer to README for instructions on how to install it.")
+
     # parse parameters
     params = YParams(os.path.abspath(args.yaml_config), args.config)
     params['epsilon_factor'] = args.epsilon_factor
@@ -122,6 +128,7 @@
     params['cuda_graph_mode'] = args.cuda_graph_mode
     params['enable_benchy'] = args.enable_benchy
     params['disable_ddp'] = args.disable_ddp
+    params['enable_odirect'] = args.enable_odirect
     params['enable_nhwc'] = args.enable_nhwc
     params['checkpointing'] = args.checkpointing_level
     params['enable_synthetic_data'] = args.enable_synthetic_data

modulus/experimental/sfno/networks/model_package.py

@@ -29,10 +29,14 @@
 
 import logging
 
+import warnings
+
 try:
     import jsbeautifier
+    use_jsbeautifier = True
 except ImportError:
-    raise ImportError('jsbeautifier is not installed. Please install it with "pip install jsbeautifier"')
+    warnings.warn('jsbeautifier is not installed. Please install it with "pip install jsbeautifier"')
+    use_jsbeautifier = False
 
 class LocalPackage:
     """
@@ -101,11 +105,15 @@ def save_model_package(params):
     """
     # save out the current state of the parameters, make it human readable
     config_path = os.path.join(params.experiment_dir, "config.json")
-    jsopts = jsbeautifier.default_options()
-    jsopts.indent_size = 2
+
+    msg = json.dumps(params.to_dict())
+    if use_jsbeautifier:
+        jsopts = jsbeautifier.default_options()
+        jsopts.indent_size = 2
+
+        msg = jsbeautifier.beautify(msg, jsopts)
 
     with open(config_path, "w") as f:
-        msg = jsbeautifier.beautify(json.dumps(params.to_dict()), jsopts)
         f.write(msg)
 
     if hasattr(params, "add_orography") and params.add_orography:
@@ -131,7 +139,9 @@ def save_model_package(params):
         "entrypoint": {"name": "networks.model_package:load_time_loop"},
     }
     with open(os.path.join(params.experiment_dir, "metadata.json"), "w") as f:
-        msg = jsbeautifier.beautify(json.dumps(fcn_mip_data), jsopts)
+        msg = json.dumps(fcn_mip_data)
+        if use_jsbeautifier:
+            msg = jsbeautifier.beautify(msg, jsopts)
         f.write(msg)
 
 

modulus/experimental/sfno/utils/visualize.py

@@ -14,6 +14,7 @@
 
 import io
 import numpy as np
+import os
 import concurrent.futures as cf
 from PIL import Image
 from moviepy.editor import ImageSequenceClip