mlx.data.Buffer.shard# Buffer.shard(self: mlx.data._c.Buffer, key: str, num_shards: int, output_key: str = '') → mlx.data._c.Buffer# Split the first dimension in num_shards. This operation performs the following numpy style reshape: def shard(x): shape = x.shape return x.reshape(num_shards, -1, *shape[1:]) Parameters: key (str) – The sample key that contains the array we are operating on. num_shards (int) – The size of the first dimension of the reshaped array. output_key (str) – If it is not empty then write the result to this key instead of overwriting key. (default: ‘’)