mistralrs_quant::safetensors

Enum ShardedSafeTensors

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pub enum ShardedSafeTensors<'a> {
    Sharded {
        b: MmapedSafetensors,
        make_dummy_regexes: Option<Arc<Vec<Regex>>>,
    },
    SimpleBackend(Box<dyn SimpleBackend + 'a>),
}

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Sharded

Fields

§make_dummy_regexes: Option<Arc<Vec<Regex>>>
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SimpleBackend(Box<dyn SimpleBackend + 'a>)

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impl<'a> ShardedSafeTensors<'a>

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pub unsafe fn sharded<P: AsRef<Path>>( paths: &[P], dtype: DType, dev: &Device, make_dummy_regexes: Option<Arc<Vec<Regex>>>, ) -> Result<ShardedVarBuilder<'a>>

Initializes a VarBuilder that retrieves tensors stored in a collection of safetensors files and make them usable in a sharded way.

§Safety

The unsafe is inherited from [memmap2::MmapOptions].

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pub fn wrap( backend: Box<dyn SimpleBackend + 'a>, dtype: DType, dev: Device, ) -> ShardedVarBuilder<'a>

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impl Backend for ShardedSafeTensors<'_>

Get part of a tensor, typically used to do Tensor Parallelism sharding.

If the tensor is of size (1024, 1024).

dim corresponds to the dimension to slice into rank is the rank of the current process world_size is the total number of ranks in the process group

get_sharded("tensor", 0, 0, 2) means tensor.i((..512)) get_sharded("tensor", 0, 1, 2) means tensor.i((512..)) get_sharded("tensor", 1, 0, 2) means tensor.i((.., ..512))

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type Hints = Shard

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fn get( &self, target_shape: Shape, path: &str, h: Self::Hints, dtype: DType, dev: &Device, ) -> Result<Tensor>

Retrieve a tensor with some target shape.
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fn get_unchecked( &self, name: &str, dtype: DType, dev: &Device, ) -> Result<Tensor>

Retrieve a tensor based on the name.
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fn contains_tensor(&self, name: &str) -> bool

Auto Trait Implementations§

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impl<'a> Freeze for ShardedSafeTensors<'a>

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impl<'a> !RefUnwindSafe for ShardedSafeTensors<'a>

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impl<'a> Send for ShardedSafeTensors<'a>

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impl<'a> Sync for ShardedSafeTensors<'a>

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impl<'a> Unpin for ShardedSafeTensors<'a>

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impl<'a> !UnwindSafe for ShardedSafeTensors<'a>

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impl<T> Any for T
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const ALIGN: usize = _

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