package owl
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OCaml Scientific and Engineering Computing
Install
dune-project
Dependency
Authors
Maintainers
Sources
owl-0.7.2.tbz
sha256=08c63c2c6f4a73143062ae1d2b7a809cdc8ae829a50b5bb1ecd9de6e2e5a5549
sha512=574cc39a186ef89bf73fbd9e42dd555b0d03ac1f70f745bc3f0932c623d217030a6375b6418fe4f262d9bff161ff254df10ba27d8f5fa8783c86e88af0755305
doc/src/owl/owl_dense_ndarray_d.ml.html
Source file owl_dense_ndarray_d.ml
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57# 1 "src/owl/dense/owl_dense_ndarray_d.ml" (* * OWL - OCaml Scientific and Engineering Computing * Copyright (c) 2016-2019 Liang Wang <liang.wang@cl.cam.ac.uk> *) open Bigarray module M = Owl_dense_ndarray_generic include M module N = Owl_distribution_generic include N type elt = float type arr = (float, float64_elt, c_layout) Genarray.t let number = Owl_types.F64 (* overload functions in Owl_dense_ndarray_generic *) let empty dimension = M.empty Float64 dimension let create dimension a = M.create Float64 dimension a let init dimension f = M.init Float64 dimension f let init_nd dimension f = M.init_nd Float64 dimension f let zeros dimension = M.zeros Float64 dimension let ones dimension = M.ones Float64 dimension let uniform ?a ?b dimension = M.uniform Float64 ?a ?b dimension let gaussian ?mu ?sigma dimension = M.gaussian ?mu ?sigma Float64 dimension let sequential ?a ?step dimension = M.sequential Float64 ?a ?step dimension let linspace a b n = M.linspace Float64 a b n let logspace ?base a b n = M.logspace Float64 ?base a b n let bernoulli ?p d = M.bernoulli Float64 ?p d let unit_basis n i = M.unit_basis Float64 n i let load f = M.load Float64 f let of_array x d = M.of_array Float64 x d let mmap fd ?pos dims = Unix.map_file fd ?pos Float64 c_layout shared dims let conj x = copy x let of_arrays x = of_arrays Float64 x
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