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@zpltys zpltys commented Dec 23, 2025

… fully-async mode

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@zpltys zpltys changed the title bugfix: support trainer param offload when using checkpoint-engine in fully-async mode [ckpt] fix: support trainer param offload when using checkpoint-engine in fully-async mode Dec 23, 2025
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Code Review

This pull request introduces support for parameter offloading with the checkpoint-engine in fully-asynchronous mode. It correctly adds logic to load the model to the GPU before synchronization and offload it to the CPU afterward when parameter offloading is enabled. The PR also adds timing metrics for these load/offload operations. My review identifies an opportunity to improve the accuracy of these new performance measurements to ensure they correctly reflect the duration of the operations.

Comment on lines +139 to +142
load_start_time = time.time()
if self._is_actor and self._is_offload_param:
load_fsdp_model_to_gpu(self.actor_module_fsdp)
load_duration = time.time() - load_start_time
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high

The current implementation for measuring load_duration is imprecise. When self._is_actor and self._is_offload_param is false, it measures the time for the conditional check, resulting in a small non-zero value instead of zero. When true, it includes the overhead of the check. To measure the duration accurately, the timing logic should be contained entirely within the conditional block, and load_duration should be initialized to 0.0.

Suggested change
load_start_time = time.time()
if self._is_actor and self._is_offload_param:
load_fsdp_model_to_gpu(self.actor_module_fsdp)
load_duration = time.time() - load_start_time
load_duration = 0.0
if self._is_actor and self._is_offload_param:
load_start_time = time.time()
load_fsdp_model_to_gpu(self.actor_module_fsdp)
load_duration = time.time() - load_start_time

Comment on lines +178 to +181
offload_start_time = time.time()
if self._is_actor and self._is_offload_param:
offload_fsdp_model_to_cpu(self.actor_module_fsdp)
offload_duration = time.time() - offload_start_time
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high

Similar to load_duration, the measurement for offload_duration is imprecise. It should be calculated only when the offload operation is performed to avoid including the conditional check overhead and to ensure it is zero when no offload occurs.

Suggested change
offload_start_time = time.time()
if self._is_actor and self._is_offload_param:
offload_fsdp_model_to_cpu(self.actor_module_fsdp)
offload_duration = time.time() - offload_start_time
offload_duration = 0.0
if self._is_actor and self._is_offload_param:
offload_start_time = time.time()
offload_fsdp_model_to_cpu(self.actor_module_fsdp)
offload_duration = time.time() - offload_start_time

Comment on lines +144 to +147
load_start_time = time.time()
if self._is_actor and self._is_offload_param:
load_megatron_model_to_gpu(self.actor_module)
load_duration = time.time() - load_start_time
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high

The measurement for load_duration is imprecise. It includes the overhead of the conditional check and will not be zero if the condition is false. For accurate profiling, the timing should only wrap the load_megatron_model_to_gpu call, and load_duration should be initialized to 0.0.

Suggested change
load_start_time = time.time()
if self._is_actor and self._is_offload_param:
load_megatron_model_to_gpu(self.actor_module)
load_duration = time.time() - load_start_time
load_duration = 0.0
if self._is_actor and self._is_offload_param:
load_start_time = time.time()
load_megatron_model_to_gpu(self.actor_module)
load_duration = time.time() - load_start_time

Comment on lines +183 to +186
offload_start_time = time.time()
if self._is_actor and self._is_offload_param:
offload_megatron_model_to_cpu(self.actor_module)
offload_duration = time.time() - offload_start_time
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high

The measurement for offload_duration is imprecise for the same reasons as load_duration. To ensure correctness, the timing logic should be moved inside the conditional block.

Suggested change
offload_start_time = time.time()
if self._is_actor and self._is_offload_param:
offload_megatron_model_to_cpu(self.actor_module)
offload_duration = time.time() - offload_start_time
offload_duration = 0.0
if self._is_actor and self._is_offload_param:
offload_start_time = time.time()
offload_megatron_model_to_cpu(self.actor_module)
offload_duration = time.time() - offload_start_time

@zpltys zpltys changed the title [ckpt] fix: support trainer param offload when using checkpoint-engine in fully-async mode [ckpt] fix: checkpoint-engine fix trainer param offload in fully-async mode Dec 23, 2025
@zpltys zpltys changed the title [ckpt] fix: checkpoint-engine fix trainer param offload in fully-async mode [recipe, megatron, fsdp] fix: checkpoint-engine fix trainer param offload in fully-async mode Dec 23, 2025
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ZSL98 commented Dec 24, 2025

Hi, it is impressive to see your contribution on fully_async and the integration of checkpoint engine. Could you please leave some comments on #4654. We would like to contribute more to fully_async mode but do not know if it is a good or even correct starting point. @zpltys Also cc @ArronHZG

@wuxibin89 wuxibin89 merged commit f6ee083 into verl-project:main Dec 24, 2025
9 of 16 checks passed
@ArronHZG ArronHZG self-requested a review December 24, 2025 11:44
jsfanfanfan pushed a commit to meituan-search/verl that referenced this pull request Jan 9, 2026
…load in fully-async mode (verl-project#4655)

… fully-async mode

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vyomakesh0728 added a commit to vyomakesh0728/verl that referenced this pull request Jan 22, 2026
…load in fully-async mode (verl-project#4655)

… fully-async mode

### What does this PR do?

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sophiayyya pushed a commit to sophiayyya/verl that referenced this pull request Jan 25, 2026
…load in fully-async mode (verl-project#4655)

… fully-async mode

### What does this PR do?

> Add **concise** overview of what this PR aims to achieve or
accomplish. Reference related GitHub issues and PRs that help with the
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### Checklist Before Starting

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