From d3a418013a6040ec286a8df88450088af5ccac86 Mon Sep 17 00:00:00 2001
From: Jiatong <728307998@qq.com>
Date: Mon, 26 Aug 2024 17:50:52 -0400
Subject: [PATCH 1/4] Fix issue for py3.11

---
 fairseq/dataclass/configs.py | 22 +++++++++++-----------
 1 file changed, 11 insertions(+), 11 deletions(-)

diff --git a/fairseq/dataclass/configs.py b/fairseq/dataclass/configs.py
index 3f3ea69..9a5d6af 100644
--- a/fairseq/dataclass/configs.py
+++ b/fairseq/dataclass/configs.py
@@ -1126,16 +1126,16 @@ class EMAConfig(FairseqDataclass):
 
 @dataclass
 class FairseqConfig(FairseqDataclass):
-    common: CommonConfig = CommonConfig()
-    common_eval: CommonEvalConfig = CommonEvalConfig()
-    distributed_training: DistributedTrainingConfig = DistributedTrainingConfig()
-    dataset: DatasetConfig = DatasetConfig()
-    optimization: OptimizationConfig = OptimizationConfig()
-    checkpoint: CheckpointConfig = CheckpointConfig()
-    bmuf: FairseqBMUFConfig = FairseqBMUFConfig()
-    generation: GenerationConfig = GenerationConfig()
-    eval_lm: EvalLMConfig = EvalLMConfig()
-    interactive: InteractiveConfig = InteractiveConfig()
+    common: CommonConfig = field(default_factory=CommonConfig)
+    common_eval: CommonEvalConfig = field(default_factory=CommonEvalConfig)
+    distributed_training: DistributedTrainingConfig = field(default_factory=DistributedTrainingConfig)
+    dataset: DatasetConfig = field(default_factory=DatasetConfig)
+    optimization: OptimizationConfig = field(default_factory=OptimizationConfig)
+    checkpoint: CheckpointConfig = field(default_factory=CheckpointConfig)
+    bmuf: FairseqBMUFConfig = field(default_factory=FairseqBMUFConfig)
+    generation: GenerationConfig = field(default_factory=GenerationConfig)
+    eval_lm: EvalLMConfig = field(default_factory=EvalLMConfig)
+    interactive: InteractiveConfig = field(default_factory=InteractiveConfig)
     model: Any = MISSING
     task: Any = None
     criterion: Any = None
@@ -1144,4 +1144,4 @@ class FairseqConfig(FairseqDataclass):
     scoring: Any = None
     bpe: Any = None
     tokenizer: Any = None
-    ema: EMAConfig = EMAConfig()
+    ema: EMAConfig = field(default_factory=EMAConfig

From eab1ae6cfe5e7d61cbc31b4cbe98044484a00cab Mon Sep 17 00:00:00 2001
From: Jiatong <728307998@qq.com>
Date: Mon, 26 Aug 2024 17:53:23 -0400
Subject: [PATCH 2/4] fix ci black

---
 fairseq/dataclass/configs.py | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/fairseq/dataclass/configs.py b/fairseq/dataclass/configs.py
index 9a5d6af..3d91466 100644
--- a/fairseq/dataclass/configs.py
+++ b/fairseq/dataclass/configs.py
@@ -1128,7 +1128,9 @@ class EMAConfig(FairseqDataclass):
 class FairseqConfig(FairseqDataclass):
     common: CommonConfig = field(default_factory=CommonConfig)
     common_eval: CommonEvalConfig = field(default_factory=CommonEvalConfig)
-    distributed_training: DistributedTrainingConfig = field(default_factory=DistributedTrainingConfig)
+    distributed_training: DistributedTrainingConfig = field(
+        default_factory=DistributedTrainingConfig
+    )
     dataset: DatasetConfig = field(default_factory=DatasetConfig)
     optimization: OptimizationConfig = field(default_factory=OptimizationConfig)
     checkpoint: CheckpointConfig = field(default_factory=CheckpointConfig)

From 754770d21728d189fab3654824aa89b102cf6426 Mon Sep 17 00:00:00 2001
From: Jiatong <728307998@qq.com>
Date: Mon, 26 Aug 2024 17:58:43 -0400
Subject: [PATCH 3/4] Update configs.py

---
 fairseq/dataclass/configs.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/fairseq/dataclass/configs.py b/fairseq/dataclass/configs.py
index 3d91466..68dbb50 100644
--- a/fairseq/dataclass/configs.py
+++ b/fairseq/dataclass/configs.py
@@ -1129,7 +1129,7 @@ class FairseqConfig(FairseqDataclass):
     common: CommonConfig = field(default_factory=CommonConfig)
     common_eval: CommonEvalConfig = field(default_factory=CommonEvalConfig)
     distributed_training: DistributedTrainingConfig = field(
-        default_factory=DistributedTrainingConfig
+        default_factory=DistributedTrainingConfig,
     )
     dataset: DatasetConfig = field(default_factory=DatasetConfig)
     optimization: OptimizationConfig = field(default_factory=OptimizationConfig)

From b271ad1b325c1c38d174fb4697e0dacebae74ec5 Mon Sep 17 00:00:00 2001
From: Jiatong <728307998@qq.com>
Date: Mon, 26 Aug 2024 17:59:27 -0400
Subject: [PATCH 4/4] Update configs.py

---
 fairseq/dataclass/configs.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/fairseq/dataclass/configs.py b/fairseq/dataclass/configs.py
index 68dbb50..12c0dba 100644
--- a/fairseq/dataclass/configs.py
+++ b/fairseq/dataclass/configs.py
@@ -1146,4 +1146,4 @@ class FairseqConfig(FairseqDataclass):
     scoring: Any = None
     bpe: Any = None
     tokenizer: Any = None
-    ema: EMAConfig = field(default_factory=EMAConfig
+    ema: EMAConfig = field(default_factory=EMAConfig)