Struct faiss::NormalizationTransform
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struct faiss::NormalizationTransform : public faiss::VectorTransform
per-vector normalization
Public Functions
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explicit NormalizationTransform(int d, float norm = 2.0)
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NormalizationTransform()
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virtual void apply_noalloc(idx_t n, const float *x, float *xt) const override
same as apply, but result is pre-allocated
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virtual void reverse_transform(idx_t n, const float *xt, float *x) const override
Identity transform since norm is not revertible.
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virtual void train(idx_t n, const float *x)
Perform training on a representative set of vectors. Does nothing by default.
- Parameters
n – nb of training vectors
x – training vecors, size n * d
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float *apply(idx_t n, const float *x) const
apply the random rotation, return new allocated matrix
- Parameters
x – size n * d_in
- Returns
size n * d_out
Public Members
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float norm
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int d_in
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int d_out
! input dimension
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bool is_trained
set if the VectorTransform does not require training, or if training is done already
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explicit NormalizationTransform(int d, float norm = 2.0)