Created
March 9, 2017 17:26
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re-format mnist data set
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(* Test neural network on MNIST *) | |
#require "bitstring";; | |
#require "bitstring.syntax";; | |
open Bitstring | |
type t = { magic : int; items : int } | |
let dataset = "/Users/liang/owl_dataset/t10k-images-idx3-ubyte" | |
let extract_files () = | |
let bits = bitstring_of_file dataset in | |
let bitl = bitstring_length bits in | |
let s = takebits 64 bits in | |
let magic, items = bitmatch s with { magic : 32; items : 32 } -> magic, items in | |
let l = ref [] in | |
let o = ref [] in | |
let r = ref (dropbits 64 bits) in | |
let _ = match magic with | |
| 2049l -> ( | |
print_endline "labels"; | |
for i = 1 to Int32.to_int items do | |
let s = takebits 8 !r in | |
let x = bitmatch s with { label : 8 } -> label in | |
l := !l @ [ x ]; | |
r := dropbits 8 !r; | |
done; | |
Owl_utils.marshal_to_file !l "mnist-test-labels_raw" | |
) | |
| 2051l -> ( | |
print_endline "images"; | |
let m, n = bitmatch !r with { m : 32; n : 32 } -> m |> Int32.to_int, n |> Int32.to_int in | |
let vl = m * n in | |
Printf.printf "%i : %i %i\n" (Int32.to_int items) m n; | |
r := dropbits 64 !r; | |
for i = 1 to (Int32.to_int items) * vl do | |
let s = takebits 8 !r in | |
let x = bitmatch s with { d : 8 } -> d in | |
l := !l @ [ x ]; | |
r := dropbits 8 !r; | |
if List.length (!l) mod vl = 0 then ( | |
Printf.printf "process vector %i\n" (List.length !o + 1); flush_all (); | |
let v = Vec.zeros vl in | |
List.iteri (fun i a -> Vec.set v i (a |> float_of_int)) !l; | |
o := !o @ [ v ]; | |
l := [] | |
) | |
done; | |
Owl_utils.marshal_to_file !o "mnist-test-images_raw" | |
) | |
| _ -> failwith "error: unrecognised file types" | |
in | |
() | |
;; | |
let _ = | |
print_endline "test MNIST" |
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