#13441 [Clojure] update specs for random and optimzer

contrib/clojure-package/src/org/apache/clojure_mxnet/optimizer.clj

@@ -24,11 +24,10 @@
    (org.apache.mxnet.optimizer SGD DCASGD NAG AdaDelta RMSProp AdaGrad Adam SGLD)
    (org.apache.mxnet FactorScheduler)))
 
-(s/def ::int-or-float (s/or :f float? :i int?))
-(s/def ::learning-rate ::int-or-float)
-(s/def ::momentum ::int-or-float)
-(s/def ::wd ::int-or-float)
-(s/def ::clip-gradient ::int-or-float)
+(s/def ::learning-rate number?)
+(s/def ::momentum number?)
+(s/def ::wd number?)
+(s/def ::clip-gradient number?)
 (s/def ::lr-scheduler #(instance? FactorScheduler %))
 (s/def ::sgd-opts (s/keys :opt-un [::learning-rate ::momentum ::wd ::clip-gradient ::lr-scheduler]))
 
@@ -44,7 +43,7 @@
   ([]
    (sgd {})))
 
-(s/def ::lambda ::int-or-float)
+(s/def ::lambda number?)
 (s/def ::dcasgd-opts (s/keys :opt-un [::learning-rate ::momentum ::lambda ::wd ::clip-gradient ::lr-scheduler]))
 
 (defn dcasgd
@@ -78,9 +77,9 @@
   ([]
    (nag {})))
 
-(s/def ::rho ::int-or-float)
-(s/def ::rescale-gradient ::int-or-float)
-(s/def ::epsilon ::int-or-float)
+(s/def ::rho number?)
+(s/def ::rescale-gradient number?)
+(s/def ::epsilon number?)
 (s/def ::ada-delta-opts (s/keys :opt-un [::rho ::rescale-gradient ::epsilon ::wd ::clip-gradient]))
 
 (defn ada-delta
@@ -97,8 +96,8 @@
   ([]
    (ada-delta {})))
 
-(s/def gamma1 ::int-or-float)
-(s/def gamma2 ::int-or-float)
+(s/def gamma1 number?)
+(s/def gamma2 number?)
 (s/def ::rms-prop-opts (s/keys :opt-un [::learning-rate ::rescale-gradient ::gamma1 ::gamma2 ::wd ::clip-gradient]))
 
 (defn rms-prop
@@ -145,8 +144,8 @@
   ([]
    (ada-grad {})))
 
-(s/def ::beta1 ::int-or-float)
-(s/def ::beta2 ::int-or-float)
+(s/def ::beta1 number?)
+(s/def ::beta2 number?)
 (s/def ::adam-opts (s/keys :opt-un [::learning-rate ::beta1 ::beta2 ::epsilon ::decay-factor ::wd ::clip-gradient ::lr-scheduler]))
 
 (defn adam

contrib/clojure-package/src/org/apache/clojure_mxnet/random.clj

@@ -23,9 +23,8 @@
    [org.apache.clojure-mxnet.util :as util])
   (:import (org.apache.mxnet Context Random)))
 
-(s/def ::int-or-float (s/or :f float? :i int?))
-(s/def ::low ::int-or-float)
-(s/def ::high ::int-or-float)
+(s/def ::low number?)
+(s/def ::high number?)
 (s/def ::shape-vec (s/coll-of pos-int? :kind vector?))
 (s/def ::ctx #(instance? Context %))
 (s/def ::uniform-opts (s/keys :opt-un [::ctx]))
@@ -48,8 +47,8 @@
   ([low high shape-vec]
    (uniform low high shape-vec {})))
 
-(s/def ::loc ::int-or-float)
-(s/def ::scale ::int-or-float)
+(s/def ::loc number?)
+(s/def ::scale number?)
 (s/def ::normal-opts (s/keys :opt-un [::ctx]))
 
 (defn normal
@@ -70,7 +69,7 @@
   ([loc scale shape-vec]
    (normal loc scale shape-vec {})))
 
-(s/def ::seed-state ::int-or-float)
+(s/def ::seed-state number?)
 (defn seed
   " Seed the random number generators in mxnet.
     This seed will affect behavior of functions in this module,