cerebras.modelzoo.data.common.input_utils

Functions

check_sharding_sanity	Checks if with the given sharding, at least one batch is generated.
cluster_config	Returns (ClusterSpec, TaskSpec). The TaskSpec contains the following fields:
get_data_for_task	Function to get distribute files with given number of examples such that each distributed task has access to exactly the same number of examples
is_distributed	Returns True if DDP is enabled.
num_tasks
shard_list_contiguous	Shards a list by splitting it into num_workers contiguous segments. Only the `worker_id`th shard is returned. If the length of the list is not divisible by the number of workers, the last worker will be assigned all remainder elements.
shard_list_interleaved	Shards a list by assigning consecutive elements to alternating workers (i.e.
shard_list_of_chunks_contiguous	Shards a list of chunks by distributing contiguous segments of each chunk across shards.
task_id

Classes

ShardedSampler	Modified from: https://pytorch.org/docs/stable/_modules/torch/utils/data/distributed.html#DistributedSampler Sampler that restricts data loading to a subset of the dataset.
SubsetSequentialSampler	Samples elements sequentially, starting from given start_index,

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