@@ -48,9 +48,8 @@ class RFD3InferenceConfig:
4848 diffusion_batch_size : int = 16
4949
5050 # RFD3 specific
51- skip_existing : bool = False
52- json_keys_subset : Optional [List [str ]] = None
5351 skip_existing : bool = True
52+ json_keys_subset : Optional [List [str ]] = None
5453 specification : Optional [dict ] = field (default_factory = dict )
5554 inference_sampler : SampleDiffusionConfig | dict = field (default_factory = dict )
5655
@@ -216,6 +215,9 @@ def run(
216215 inputs = inputs ,
217216 n_batches = n_batches ,
218217 )
218+ if len (design_specifications ) == 0 :
219+ ranked_logger .info ("No design specifications to run. Skipping." )
220+ return None
219221 ensure_inference_sampler_matches_design_spec (
220222 design_specifications , self .inference_sampler_overrides
221223 )
@@ -381,12 +383,18 @@ def _multiply_specifications(
381383 ) -> Dict [str , dict | DesignInputSpecification ]:
382384 # Find existing example IDS in output directory
383385 if exists (self .out_dir ):
384- existing_example_ids = set (
386+ existing_example_ids_ = set (
385387 extract_example_id_from_path (path , CIF_LIKE_EXTENSIONS )
386388 for path in find_files_with_extension (self .out_dir , CIF_LIKE_EXTENSIONS )
387389 )
390+ existing_example_ids = set (
391+ [
392+ "_model_" .join (eid .split ("_model_" )[:- 1 ])
393+ for eid in existing_example_ids_
394+ ]
395+ )
388396 ranked_logger .info (
389- f"Found { len (existing_example_ids )} existing example IDs in the output directory."
397+ f"Found { len (existing_example_ids )} existing example IDs in the output directory ( { len ( existing_example_ids_ ) } total) ."
390398 )
391399
392400 # Based on inputs, construct the specifications to loop through
@@ -405,7 +413,6 @@ def _multiply_specifications(
405413 for batch_id in range ((n_batches ) if exists (n_batches ) else 1 ):
406414 # ... Example ID
407415 example_id = f"{ prefix } _{ batch_id } " if exists (n_batches ) else prefix
408-
409416 if (
410417 self .skip_existing
411418 and exists (self .out_dir )
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