Average the gradients across the distributed processes in the passed group. This helper enables concatenating several gradients of small arrays t

Recursively filter the contents of the module using ``filter_fn``, namely only select keys and values where ``filter_fn`` returns true.

Scatter updates to given indices */

Return a quantized approximation of this layer. If ``quantize_input`` is ``False``, returns a :obj:`QuantizedLinear` (weights are qua

Set the model in or out of training mode. Training mode only applies to certain layers. For example :obj:`Dropout` applies a random m

Returns a new parameter tree with the weights sharded according to the sharding_predicate. The sharding predicate should return the sharding

Compute D = beta * C + alpha * (A @ B) */

Compute matrix product with tile-level masking */

Return pointer alignment of |x|'s data.

Iteration helper */