Auto-fix lint violations from Fixit] fbcode//pytorch/ao (#1752)

facebook-github-bot · CodemodService Bot · web-flow · commit 38e36ded5254 · 2025-02-24T14:36:33.000-08:00
Auto-fix lint violations from Fixit] fbcode//pytorch/ao (#1752) Summary: Pull Request resolved: #1752 Reviewed By: amyreese Differential Revision: D69041228 Co-authored-by: CodemodService Bot <ltoonqpgsf_1546886053@tfbnw.net>
diff --git a/torchao/quantization/GPTQ.py b/torchao/quantization/GPTQ.py
@@ -759,15 +759,15 @@ def _create_quantized_state_dict(
                     if self.padding_allowed:
                         import torch.nn.functional as F
 
-                        logging.warn(
+                        logging.warning(
                             f"warning: {fqn} is padded to satisfy in_features % 1024 == 0"
                         )
                         padded_in_features = find_multiple(in_features, 1024)
                         weight = F.pad(
                             weight, pad=(0, padded_in_features - in_features)
                         )
                     else:
-                        logging.warn(
+                        logging.warning(
                             f"warning: {fqn} is skipped, int4 requires that in_features is 32, 64, or is divisible by 1024, "
                             + "and that groupsize and inner_k_tiles*16 evenly divide into it"
                         )
@@ -1147,15 +1147,15 @@ def _create_quantized_state_dict(
                     if self.padding_allowed:
                         import torch.nn.functional as F
 
-                        logging.warn(
+                        logging.warning(
                             f"warning: {fqn} is padded to satisfy in_features % 1024 == 0"
                         )
                         padded_in_features = find_multiple(in_features, 1024)
                         weight = F.pad(
                             weight, pad=(0, padded_in_features - in_features)
                         )
                     else:
-                        logging.warn(
+                        logging.warning(
                             f"warning: {fqn} is skipped, int4 requires that in_features is 32, 64, or is divisible by 1024, "
                             + "and that groupsize and inner_k_tiles*16 evenly divide into it"
                         )

Original file line number	Diff line number	Diff line change
`@@ -759,15 +759,15 @@ def _create_quantized_state_dict(`
`759`	`759`	`if self.padding_allowed:`
`760`	`760`	`import torch.nn.functional as F`
`761`	`761`
`762`		`- logging.warn(`
	`762`	`+ logging.warning(`
`763`	`763`	`f"warning: {fqn} is padded to satisfy in_features % 1024 == 0"`
`764`	`764`	`)`
`765`	`765`	`padded_in_features = find_multiple(in_features, 1024)`
`766`	`766`	`weight = F.pad(`
`767`	`767`	`weight, pad=(0, padded_in_features - in_features)`
`768`	`768`	`)`
`769`	`769`	`else:`
`770`		`- logging.warn(`
	`770`	`+ logging.warning(`
`771`	`771`	`f"warning: {fqn} is skipped, int4 requires that in_features is 32, 64, or is divisible by 1024, "`
`772`	`772`	`+ "and that groupsize and inner_k_tiles*16 evenly divide into it"`
`773`	`773`	`)`
`@@ -1147,15 +1147,15 @@ def _create_quantized_state_dict(`
`1147`	`1147`	`if self.padding_allowed:`
`1148`	`1148`	`import torch.nn.functional as F`
`1149`	`1149`
`1150`		`- logging.warn(`
	`1150`	`+ logging.warning(`
`1151`	`1151`	`f"warning: {fqn} is padded to satisfy in_features % 1024 == 0"`
`1152`	`1152`	`)`
`1153`	`1153`	`padded_in_features = find_multiple(in_features, 1024)`
`1154`	`1154`	`weight = F.pad(`
`1155`	`1155`	`weight, pad=(0, padded_in_features - in_features)`
`1156`	`1156`	`)`
`1157`	`1157`	`else:`
`1158`		`- logging.warn(`
	`1158`	`+ logging.warning(`
`1159`	`1159`	`f"warning: {fqn} is skipped, int4 requires that in_features is 32, 64, or is divisible by 1024, "`
`1160`	`1160`	`+ "and that groupsize and inner_k_tiles*16 evenly divide into it"`
`1161`	`1161`	`)`