Fix Configuration for Micro Batch Size in Megatron's Ref Policy#1700
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verl/workers/megatron_workers.py
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| else: | ||
| if self.config.ref.get("log_prob_micro_batch_size_per_gpu", None): | ||
| self.config.ref.ppo_micro_batch_size_per_gpu = self.config.ref.log_prob_micro_batch_size_per_gpu | ||
| elif self.config.ref.get("ppo_micro_batch_size_per_gpu", None): |
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I think that here is a typo, so we may not need to consider ppo_micro_batch_size_per_gpu, you can simply judge the key above~
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fix, del the ppo_micro_batch_size_per_gpu
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…l-project#1700) ### What does this PR do? Fix Configuration for Micro Batch Size in Megatron's Ref Policy ### High-Level Design This pull request addresses an issue with the micro batch size configuration in the ref policy of Megatron. The default ppo_megatron_trainer.yaml only includes two configurations: log_prob_micro_batch_size and log_prob_micro_batch_size_per_gpu. https://github.com/volcengine/verl/blob/54c9b7364c2d188b2ba4107404cfa3c2b446df19/verl/trainer/config/ppo_megatron_trainer.yaml#L119-L120 However, in `megatron_workers.py`, the required configuration is ref.log_prob_micro_batch_size_per_gpu https://github.com/volcengine/verl/blob/54c9b7364c2d188b2ba4107404cfa3c2b446df19/verl/workers/megatron_workers.py#L517-L518 or in `megatron_actor.py ` the required configuration is ref.ppo_micro_batch_size_per_gpu, https://github.com/volcengine/verl/blob/54c9b7364c2d188b2ba4107404cfa3c2b446df19/verl/workers/actor/megatron_actor.py#L271-L274 which are not directly related to ppo_micro_batch_size. To resolve this, I have made modifications to the configuration calculations and added raise ValueError statements to ensure that the necessary parameters are correctly defined. This update ensures that the required parameters are properly handled, preventing runtime errors and improving the overall robustness of the training process. ### Changes Made: - Modified the configuration calculations in megatron_workers.py. - Added raise ValueError statements to check for the presence of log_prob_micro_batch_size_per_gpu and ppo_micro_batch_size_per_gpu.
wwwjn
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Jun 10, 2025
…l-project#1700) ### What does this PR do? Fix Configuration for Micro Batch Size in Megatron's Ref Policy ### High-Level Design This pull request addresses an issue with the micro batch size configuration in the ref policy of Megatron. The default ppo_megatron_trainer.yaml only includes two configurations: log_prob_micro_batch_size and log_prob_micro_batch_size_per_gpu. https://github.com/volcengine/verl/blob/54c9b7364c2d188b2ba4107404cfa3c2b446df19/verl/trainer/config/ppo_megatron_trainer.yaml#L119-L120 However, in `megatron_workers.py`, the required configuration is ref.log_prob_micro_batch_size_per_gpu https://github.com/volcengine/verl/blob/54c9b7364c2d188b2ba4107404cfa3c2b446df19/verl/workers/megatron_workers.py#L517-L518 or in `megatron_actor.py ` the required configuration is ref.ppo_micro_batch_size_per_gpu, https://github.com/volcengine/verl/blob/54c9b7364c2d188b2ba4107404cfa3c2b446df19/verl/workers/actor/megatron_actor.py#L271-L274 which are not directly related to ppo_micro_batch_size. To resolve this, I have made modifications to the configuration calculations and added raise ValueError statements to ensure that the necessary parameters are correctly defined. This update ensures that the required parameters are properly handled, preventing runtime errors and improving the overall robustness of the training process. ### Changes Made: - Modified the configuration calculations in megatron_workers.py. - Added raise ValueError statements to check for the presence of log_prob_micro_batch_size_per_gpu and ppo_micro_batch_size_per_gpu.
chenjiaoAngel
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Nov 14, 2025
…l-project#1700) ### What does this PR do? Fix Configuration for Micro Batch Size in Megatron's Ref Policy ### High-Level Design This pull request addresses an issue with the micro batch size configuration in the ref policy of Megatron. The default ppo_megatron_trainer.yaml only includes two configurations: log_prob_micro_batch_size and log_prob_micro_batch_size_per_gpu. https://github.com/volcengine/verl/blob/a5b1b6ebb452978bc6f4ad0f246de1f574103035/verl/trainer/config/ppo_megatron_trainer.yaml#L119-L120 However, in `megatron_workers.py`, the required configuration is ref.log_prob_micro_batch_size_per_gpu https://github.com/volcengine/verl/blob/a5b1b6ebb452978bc6f4ad0f246de1f574103035/verl/workers/megatron_workers.py#L517-L518 or in `megatron_actor.py ` the required configuration is ref.ppo_micro_batch_size_per_gpu, https://github.com/volcengine/verl/blob/a5b1b6ebb452978bc6f4ad0f246de1f574103035/verl/workers/actor/megatron_actor.py#L271-L274 which are not directly related to ppo_micro_batch_size. To resolve this, I have made modifications to the configuration calculations and added raise ValueError statements to ensure that the necessary parameters are correctly defined. This update ensures that the required parameters are properly handled, preventing runtime errors and improving the overall robustness of the training process. ### Changes Made: - Modified the configuration calculations in megatron_workers.py. - Added raise ValueError statements to check for the presence of log_prob_micro_batch_size_per_gpu and ppo_micro_batch_size_per_gpu.
TimurTaepov
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Dec 20, 2025
…l-project#1700) ### What does this PR do? Fix Configuration for Micro Batch Size in Megatron's Ref Policy ### High-Level Design This pull request addresses an issue with the micro batch size configuration in the ref policy of Megatron. The default ppo_megatron_trainer.yaml only includes two configurations: log_prob_micro_batch_size and log_prob_micro_batch_size_per_gpu. https://github.com/volcengine/verl/blob/b5cc0c2a98d7e89da1521961c09f2c2eb6148cf9/verl/trainer/config/ppo_megatron_trainer.yaml#L119-L120 However, in `megatron_workers.py`, the required configuration is ref.log_prob_micro_batch_size_per_gpu https://github.com/volcengine/verl/blob/b5cc0c2a98d7e89da1521961c09f2c2eb6148cf9/verl/workers/megatron_workers.py#L517-L518 or in `megatron_actor.py ` the required configuration is ref.ppo_micro_batch_size_per_gpu, https://github.com/volcengine/verl/blob/b5cc0c2a98d7e89da1521961c09f2c2eb6148cf9/verl/workers/actor/megatron_actor.py#L271-L274 which are not directly related to ppo_micro_batch_size. To resolve this, I have made modifications to the configuration calculations and added raise ValueError statements to ensure that the necessary parameters are correctly defined. This update ensures that the required parameters are properly handled, preventing runtime errors and improving the overall robustness of the training process. ### Changes Made: - Modified the configuration calculations in megatron_workers.py. - Added raise ValueError statements to check for the presence of log_prob_micro_batch_size_per_gpu and ppo_micro_batch_size_per_gpu.
vyomakesh0728
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Jan 22, 2026
…l-project#1700) ### What does this PR do? Fix Configuration for Micro Batch Size in Megatron's Ref Policy ### High-Level Design This pull request addresses an issue with the micro batch size configuration in the ref policy of Megatron. The default ppo_megatron_trainer.yaml only includes two configurations: log_prob_micro_batch_size and log_prob_micro_batch_size_per_gpu. https://github.com/volcengine/verl/blob/0d2d4fc0a85f495666dfdcd5a7a121b2bf67ca15/verl/trainer/config/ppo_megatron_trainer.yaml#L119-L120 However, in `megatron_workers.py`, the required configuration is ref.log_prob_micro_batch_size_per_gpu https://github.com/volcengine/verl/blob/0d2d4fc0a85f495666dfdcd5a7a121b2bf67ca15/verl/workers/megatron_workers.py#L517-L518 or in `megatron_actor.py ` the required configuration is ref.ppo_micro_batch_size_per_gpu, https://github.com/volcengine/verl/blob/0d2d4fc0a85f495666dfdcd5a7a121b2bf67ca15/verl/workers/actor/megatron_actor.py#L271-L274 which are not directly related to ppo_micro_batch_size. To resolve this, I have made modifications to the configuration calculations and added raise ValueError statements to ensure that the necessary parameters are correctly defined. This update ensures that the required parameters are properly handled, preventing runtime errors and improving the overall robustness of the training process. ### Changes Made: - Modified the configuration calculations in megatron_workers.py. - Added raise ValueError statements to check for the presence of log_prob_micro_batch_size_per_gpu and ppo_micro_batch_size_per_gpu.
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What does this PR do?
Fix Configuration for Micro Batch Size in Megatron's Ref Policy
High-Level Design
This pull request addresses an issue with the micro batch size configuration in the ref policy of Megatron. The default ppo_megatron_trainer.yaml only includes two configurations: log_prob_micro_batch_size and log_prob_micro_batch_size_per_gpu.
https://github.com/volcengine/verl/blob/54c9b7364c2d188b2ba4107404cfa3c2b446df19/verl/trainer/config/ppo_megatron_trainer.yaml#L119-L120
However, in
megatron_workers.py, the required configuration is ref.log_prob_micro_batch_size_per_gpuhttps://github.com/volcengine/verl/blob/54c9b7364c2d188b2ba4107404cfa3c2b446df19/verl/workers/megatron_workers.py#L517-L518
or in
megatron_actor.pythe required configuration is ref.ppo_micro_batch_size_per_gpu,https://github.com/volcengine/verl/blob/54c9b7364c2d188b2ba4107404cfa3c2b446df19/verl/workers/actor/megatron_actor.py#L271-L274
which are not directly related to ppo_micro_batch_size.
To resolve this, I have made modifications to the configuration calculations and added raise ValueError statements to ensure that the necessary parameters are correctly defined.
This update ensures that the required parameters are properly handled, preventing runtime errors and improving the overall robustness of the training process.
Changes Made:
Modified the configuration calculations in megatron_workers.py.
Added raise ValueError statements to check for the presence of log_prob_micro_batch_size_per_gpu and ppo_micro_batch_size_per_gpu.