dpu #178
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Jackmin801
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Dec 16, 2024
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| :Args: | ||
| model: The model to be trained | ||
| elastic_device_mesh: The elastic device mesh to be used | ||
| dpu: Whether to use delayed parameter updates | ||
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| Example usage: | ||
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| ``` | ||
| global_ddp = GlobalDDP(model, elastic_device_mesh) |
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| for micro_bs in range(num_micro_bs): | ||
| optimizer.zero_grad() | ||
| loss = model(batch) | ||
| loss.backward() | ||
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| global_ddp.all_reduce() | ||
| optimizer.step() | ||
| diloco.step(model) |
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The optimizer zero grad is in the wrong place? This would make only the last micro batch have grad
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| self.model = model | ||
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| self._staling_grad_work: list[AllReduceGradWork] | None = None |
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