From fbe00d7897c180a4ac67e5651ba263bb6d9400e8 Mon Sep 17 00:00:00 2001 From: Enming Yuan <2650576090@qq.com> Date: Mon, 20 Nov 2023 20:53:10 +0800 Subject: [PATCH] Update dataclasses.py (#2168) Bug fix: recompute_activation -> recompute_activations --- src/accelerate/utils/dataclasses.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/src/accelerate/utils/dataclasses.py b/src/accelerate/utils/dataclasses.py index e0e41568b0c..2d22d460aee 100644 --- a/src/accelerate/utils/dataclasses.py +++ b/src/accelerate/utils/dataclasses.py @@ -1043,7 +1043,7 @@ class MegatronLMPlugin: default=None, metadata={"help": "enable sequence parallelism"}, ) - recompute_activation: bool = field( + recompute_activations: bool = field( default=None, metadata={"help": "enable selective activation recomputation"}, ) @@ -1196,8 +1196,8 @@ def __post_init__(self): self.num_micro_batches = int(os.environ.get(prefix + "NUM_MICRO_BATCHES", 1)) if self.gradient_clipping is None: self.gradient_clipping = float(os.environ.get(prefix + "GRADIENT_CLIPPING", 1.0)) - if self.recompute_activation is None: - self.recompute_activation = str_to_bool(os.environ.get(prefix + "RECOMPUTE_ACTIVATION", "False")) == 1 + if self.recompute_activations is None: + self.recompute_activations = str_to_bool(os.environ.get(prefix + "RECOMPUTE_ACTIVATIONS", "False")) == 1 if self.use_distributed_optimizer is None: self.use_distributed_optimizer = ( str_to_bool(os.environ.get(prefix + "USE_DISTRIBUTED_OPTIMIZER", "False")) == 1 @@ -1234,7 +1234,7 @@ def __post_init__(self): "eval_iters": self.eval_iters, "eval_interval": self.eval_interval, } - if self.recompute_activation: + if self.recompute_activations: self.megatron_lm_default_args["recompute_granularity"] = "selective" if self.tensorboard_dir is not None: self.megatron_lm_default_args["tensorboard_dir"] = self.tensorboard_dir