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MemoryEstimator

tensorlogic_infer::memory

Struct MemoryEstimator 

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pub struct MemoryEstimator { /* private fields */ }
Expand description

Memory estimator for execution graphs

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impl MemoryEstimator

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pub fn new(dtype: DType) -> Self

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pub fn estimate(&self, graph: &EinsumGraph) -> MemoryEstimate

Estimate memory usage for a graph Note: Uses default shape [10] for all tensors since graph only stores names

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pub fn estimate_with_lifetime(&self, graph: &EinsumGraph) -> MemoryEstimate

Estimate memory with tensor lifetime analysis for peak usage

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pub fn estimate_batch( &self, graph: &EinsumGraph, batch_size: usize, ) -> MemoryEstimate

Estimate memory for a batch of inputs

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impl Default for MemoryEstimator

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fn default() -> Self

Returns the “default value” for a type. Read more

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impl<T> Any for T
where T: 'static + ?Sized,

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fn type_id(&self) -> TypeId

Gets the TypeId of self. Read more
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impl<T> Borrow<T> for T
where T: ?Sized,

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fn borrow(&self) -> &T

Immutably borrows from an owned value. Read more
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impl<T> BorrowMut<T> for T
where T: ?Sized,

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fn borrow_mut(&mut self) -> &mut T

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impl<T> From<T> for T

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fn from(t: T) -> T

Returns the argument unchanged.

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impl<T, U> Into<U> for T
where U: From<T>,

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fn into(self) -> U

Calls U::from(self).

That is, this conversion is whatever the implementation of From<T> for U chooses to do.

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impl<T, U> TryFrom<U> for T
where U: Into<T>,

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type Error = Infallible

The type returned in the event of a conversion error.
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fn try_from(value: U) -> Result<T, <T as TryFrom<U>>::Error>

Performs the conversion.
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impl<T, U> TryInto<U> for T
where U: TryFrom<T>,

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type Error = <U as TryFrom<T>>::Error

The type returned in the event of a conversion error.
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fn try_into(self) -> Result<U, <U as TryFrom<T>>::Error>

Performs the conversion.
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impl<V, T> VZip<V> for T
where V: MultiLane<T>,

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fn vzip(self) -> V