/
datatype_test.clj
207 lines (167 loc) · 7.83 KB
/
datatype_test.clj
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(ns tech.v2.datatype-test
(:require [clojure.test :refer :all]
[tech.v2.datatype :as dtype]
[tech.v2.datatype.base :as base]
[tech.v2.datatype.casting :as casting]
[tech.v2.datatype.primitive]
[tech.v2.datatype.list]
[clojure.core.matrix :as m]
[clojure.core.matrix.macros :refer [c-for]])
(:import [java.nio FloatBuffer]))
(deftest raw-copy-with-mutable-lazy-sequence
;;It is important that raw copy can work with a lazy sequence of double buffers where
;;the same buffer is being filled for ever member of the lazy sequence. This is an
;;easy optimization to make that cuts down the memory usage when reading from datasets
;;by a fairly large amount.
(let [input-seq (partition 10 (range 100))
input-ary (double-array 10)
;;Note the input ary is being reused. Now imagine the input ary is a large
;;and we want a batch size of 50. This is precisely the use case
;;where we don't want to allocate dynamically an entire batch worth of data
;;every time but copy one image at a time into the packed buffer for upload
;;to the gpu.
double-array-seq (map (fn [data]
(dtype/copy-raw->item! data input-ary 0)
input-ary)
input-seq)
output-doubles (double-array 100)]
(dtype/copy-raw->item! double-array-seq output-doubles 0)
(is (= (vec output-doubles) (mapv double (flatten input-seq))))))
(defn basic-copy
[src-fn dest-fn src-dtype dst-dtype]
(let [ary (dtype/make-container src-fn src-dtype (range 10))
buf (dtype/make-container dest-fn dst-dtype 10)
retval (dtype/make-jvm-container :float64 10)]
;;copy starting at position 2 of ary into position 4 of buf 4 elements
(dtype/copy! ary 2 buf 4 4)
(dtype/copy! buf 0 retval 0 10)
(is (m/equals [0 0 0 0 2 3 4 5 0 0]
(mapv int (dtype/->vector retval)))
(pr-str {:src-fn src-fn :dest-fn dest-fn
:src-dtype src-dtype :dst-dtype dst-dtype}))))
(def create-functions [:typed-buffer :native-buffer :list :sparse])
(deftest generalized-copy-test
(->> (for [src-container create-functions
dst-container create-functions
src-dtype casting/numeric-types
dst-dtype casting/numeric-types]
(basic-copy src-container dst-container src-dtype dst-dtype))
dorun))
(deftest array-of-array-support
(let [^"[[D" src-data (make-array (Class/forName "[D") 5)
_ (doseq [idx (range 5)]
(aset src-data idx (double-array (repeat 10 idx))))
dst-data (float-array (* 5 10))]
;;This should not hit any slow paths.
(dtype/copy-raw->item! src-data dst-data 0)
(is (= (vec (float-array (flatten (map #(repeat 10 %) (range 5)))))
(vec dst-data)))))
(deftest out-of-range-data-causes-exception
(is (thrown? Throwable (dtype/copy! (int-array [1000 2000 3000 4000])
(byte-array 4)))))
(deftest out-of-range-data-does-not-cause-exception-if-unchecked
(let [byte-data
(dtype/copy! (int-array [1000 2000 3000 4000]) 0
(byte-array 4) 0
4 {:unchecked? true})]
(is (= [-24 -48 -72 -96]
(vec byte-data)))))
(deftest offset-buffers-should-copy-correctly
(let [fbuf (-> (dtype/make-buffer-of-type :float32 (range 10))
(dtype/sub-buffer 3))
result-buf (dtype/make-jvm-container :float32 (dtype/ecount fbuf))]
(dtype/copy! fbuf result-buf)
(is (= (dtype/get-value fbuf 0)
(float 3)))
(is (= (vec (drop 3 (range 10)))
(mapv long (dtype/->vector result-buf))))))
(deftest primitive-types-are-typed
(doseq [[cls dtype] [[(byte 1) :int8]
[(short 1) :int16]
[(int 1) :int32]
[(long 1) :int64]
[(float 1) :float32]
[(double 1) :float64]
[(boolean false) :boolean]]]
(is (= dtype (dtype/get-datatype cls)))))
(set! *warn-on-reflection* true)
(set! *unchecked-math* :warn-on-boxed)
(deftest copy-time-test
(testing "Run perf regression of times spent to copy data"
(let [num-items (long 100000)
src-data (float-array (range num-items))
dst-data (float-array num-items)
array-copy (fn []
(c-for [idx (int 0) (< idx num-items) (inc idx)]
(aset dst-data idx (aget src-data idx))))
src-buf (FloatBuffer/wrap src-data)
dst-buf (FloatBuffer/wrap dst-data)
buffer-copy (fn []
(let [
;; Curiously, uncommenting this gets a far faster result.
;; But it isn't at all practical.
;; src-buf (FloatBuffer/wrap src-data)
;; dst-buf (FloatBuffer/wrap dst-data)
]
(c-for [idx (int 0) (< idx num-items) (inc idx)]
(.put dst-buf idx (.get src-buf idx)))))
dtype-copy (fn []
(dtype/copy! src-buf 0 dst-buf 0 num-items))
unchecked-dtype-copy (fn []
(dtype/copy! src-buf 0 dst-buf 0 num-items
{:unchecked? true}))
make-array (fn []
(dtype/make-container :java-array :float32 dst-buf))
marshal-buf (int-array num-items)
;;If you have to do a marshalling copy then exploiting parallelism will be
;;your best bet. It costs a lot to marshal across datatypes, esp. int->float.
marshal-copy (fn []
(dtype/copy! src-data 0
marshal-buf 0
num-items
{:unchecked? true}))
fns {:array-copy array-copy
:buffer-copy buffer-copy
:dtype-copy dtype-copy
:unchecked-dtype-copy unchecked-dtype-copy
:make-array make-array
:marshal-copy marshal-copy}
run-timed-fns (fn []
(->> fns
(map (fn [[fn-name time-fn]]
[fn-name (with-out-str
(time
(dotimes [iter 400]
(time-fn))))]))
(into {})))
warmup (run-timed-fns)
times (run-timed-fns)]
(println times))))
(deftest nil-has-nil-shape
(is (= nil (dtype/shape nil)))
(is (= 0 (dtype/ecount nil)))
(is (= 0 (dtype/shape->ecount (dtype/shape nil)))))
(deftest boolean-support
(is (= [0 1 0]
(-> (dtype/make-container :java-array :int8 [false true false])
(dtype/->vector))))
(is (= [0 1 0]
(-> (dtype/make-container :java-array :int8
(boolean-array [false true false]))
(dtype/->vector))))
(is (= [0 1 0]
(-> (dtype/copy! (boolean-array [false true false]) 0
(dtype/make-jvm-container :int8 3) 0
3
{:unchecked? true})
(dtype/->vector))))
(is (= [false true false]
(-> (dtype/make-jvm-container :boolean [0 1 0])
(dtype/->vector))))
(is (= [false true false]
(-> (dtype/make-jvm-container :boolean [0.0 0.01 0.0])
(dtype/->vector))))
(is (= true (dtype/cast 10 :boolean)))
(is (= false (dtype/cast 0 :boolean)))
(is (= 1 (dtype/cast true :int16)))
(is (= 0.0 (dtype/cast false :float64))))