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IPUPrecisionPlugin

class lightning.pytorch.plugins.precision.IPUPrecisionPlugin(precision)[source]

Bases: PrecisionPlugin

Precision plugin for IPU integration.

Warning

This is an experimental feature.

Raises

ValueError – If the precision is neither 16-mixed nor 32-true.

backward(tensor, model, *args, **kwargs)[source]

Performs the actual backpropagation.

Parameters
  • tensor (Tensor) – the loss value obtained from the closure

  • model (LightningModule) – the model to be optimized

  • optimizer – current optimizer being used. None if using manual optimization

  • *args – Positional arguments intended for the actual function that performs the backward, like backward().

  • **kwargs – Keyword arguments for the same purpose as *args.

Return type

None

clip_gradients(optimizer, clip_val=0.0, gradient_clip_algorithm=GradClipAlgorithmType.NORM)[source]

Clips the gradients.

Return type

None

optimizer_step(optimizer, model, closure, **kwargs)[source]

IPUs handle the optimizer step internally.

Return type

Any