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[bug] fix early return (#5740)

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* [bug] fix silly bug

* [pre-commit.ci] auto fixes from pre-commit.com hooks

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* [pre-commit.ci] auto fixes from pre-commit.com hooks

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* [chore] add test for prefetch

* [pre-commit.ci] auto fixes from pre-commit.com hooks

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Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
This commit is contained in:
botbw
2024-05-21 14:21:58 +08:00
committed by GitHub
parent 83716e9feb
commit 13c06d36a3
9 changed files with 50 additions and 19 deletions
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9
tests/test_zero/test_gemini/test_grad_accum.py
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@@ -50,8 +50,14 @@ def check_grad(model: GeminiDDP, torch_model: torch.nn.Module):
@parameterize("model_name", ["transformers_gpt_lm"])
@parameterize("master_weights", [False, True])
@parameterize("use_grad_checkpoint", [False, True])
@parameterize("max_prefetch", [0, 1, 4])
def exam_gemini_grad_acc(
placement_config, keep_gathered: bool, model_name: str, master_weights: bool, use_grad_checkpoint: bool
placement_config,
keep_gathered: bool,
model_name: str,
master_weights: bool,
use_grad_checkpoint: bool,
max_prefetch: int,
):
init_device = get_accelerator().get_current_device()
model_builder, data_gen_fn, output_transform_fn, loss_fn, *_ = next(
@@ -81,6 +87,7 @@ def exam_gemini_grad_acc(
pin_memory=True,
enable_gradient_accumulation=True,
master_weights=master_weights,
max_prefetch=max_prefetch,
**placement_config,
)
optimizer = HybridAdam(gemini_model.parameters(), lr=1e-3)