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MMDeepSpeedEngineWrapper

class mmengine._strategy.deepspeed.MMDeepSpeedEngineWrapper(*, model, inputs_to_half=None)[source]
Parameters:
  • model (deepspeed.DeepSpeedEngine) –

  • inputs_to_half (List[int | str] | None) –

test_step(data)[source]

Gets the predictions of module during testing process.

Parameters:

data (dict or tuple or list) – Data sampled from dataset.

Returns:

The predictions of given data.

Return type:

list

val_step(data)[source]

Gets the prediction of module during validation process.

Parameters:

data (dict or tuple or list) – Data sampled from dataset.

Returns:

The predictions of given data.

Return type:

list

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