IPUPrecisionPlugin

class pytorch_lightning.plugins.precision.IPUPrecisionPlugin(precision)

Bases: pytorch_lightning.plugins.precision.precision_plugin.PrecisionPlugin

Precision plugin for IPU integration.

Raises:

ValueError – If the precision is neither 16 nor 32.

backward(tensor, model, *args, **kwargs)

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

• optimizer_idx – the index of the current optimizer. None if using manual optimization

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

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

Return type:

None

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

Clips the gradients.

Return type:

None

optimizer_step(optimizer, model, optimizer_idx, closure, **kwargs)

IPUs handle the optimizer step internally.

Return type:

Any