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tech.compute.tvm.image.resize


area-reduction!clj

(area-reduction! input output area-fn)

area-reduction-fnclj

(area-reduction-fn img-dtype)

Instead of computing the kernels inline we abstract them into vectors

Instead of computing the kernels inline we abstract them into vectors
raw docstring

bilinear-filter!clj

(bilinear-filter! input output filter-fn)

bilinear-filter-fnclj

(bilinear-filter-fn img-dtype)

Classic bilinear reduction

Classic bilinear reduction
raw docstring

bilinear-filter-startclj

(bilinear-filter-start dest-idx ratio)

bilinear-start-factorclj

(bilinear-start-factor bilinear-start)

create-filter-kernel-opclj

(create-filter-kernel-op out-cols ratio k-name)

create-kernel-opclj

(create-kernel-op out-cols k-size ratio k-name)

final-cast-fnclj

(final-cast-fn img-dtype input fn-name)

input-coordclj

(input-coord dest-coord ratio kernel-idx)

schedule-area-reductionclj

(schedule-area-reduction
  &
  {:keys [device-type img-dtype print-schedule?]
   :or {device-type :cpu img-dtype :uint8 print-schedule? false}})

schedule-bilinear-filter-fnclj

(schedule-bilinear-filter-fn
  &
  {:keys [device-type img-dtype print-schedule?]
   :or {device-type :cpu img-dtype :uint8 print-schedule? false}})

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