lanking520 commented on issue #12140: Impossible to provide arguments to random_normal in scala ? URL: https://github.com/apache/incubator-mxnet/issues/12140#issuecomment-412416142 Hi @mdespriee Nice try with Scala package! In your case, you can implement in the following ways: ```Scala Symbol.random_normal(i.output)()(Map("loc" -> mean, ...)) ``` Just put all of your args in the map. You can always check [Python API example](http://mxnet.apache.org/api/python/symbol/symbol.html#mxnet.symbol.random_normal). BTW, in the future, you can call `Symbol.api.random_normal`. This is a brand new api set introduced in v1.3 (not coming yet..) here is an example: ```Scala /** * <pre> * Draw random samples from a normal (Gaussian) distribution. * * .. note:: The existing alias ``normal`` is deprecated. * * Samples are distributed according to a normal distribution parametrized by *loc* (mean) and *scale* (standard deviation). * * Example:: * * normal(loc=0, scale=1, shape=(2,2)) = [[ 1.89171135, -1.16881478], * [-1.23474145, 1.55807114]] * * * Defined in src/operator/random/sample_op.cc:L85 * </pre> * @param loc Mean of the distribution. * @param scale Standard deviation of the distribution. * @param shape Shape of the output. * @param ctx Context of output, in format [cpu|gpu|cpu_pinned](n). Only used for imperative calls. * @param dtype DType of the output in case this can't be inferred. Defaults to float32 if not defined (dtype=None). * @return org.apache.mxnet.Symbol */ @Experimental def random_normal (loc : Option[org.apache.mxnet.Base.MXFloat] = None, scale : Option[org.apache.mxnet.Base.MXFloat] = None, shape : Option[org.apache.mxnet.Shape] = None, ctx : Option[String] = None, dtype : Option[String] = None, name : String = null, attr : Map[String, String] = null) : org.apache.mxnet.Symbol ``` @mxnet-label-bot can you label this as [scala] ?
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