SparseTensor will support 3 dimensions or more ?

[Justontheway]

Property

SparseTensor will support 3 dimensions or more ?

[qiuxin2012]

You can create 3D and even nD sparse tensor, but no Layer for 3D SparseTensor.
Could you tell me which kind of Layer do you want?

[Justontheway]

1. Tensor.sparse(Array(2,3,4), 3) or something like this will throw the following error

scala> Tensor.sparse(Array(2,3,4), 3)
java.lang.UnsupportedOperationException: SparseTensor: Unimplemented method
        at com.intel.analytics.bigdl.tensor.SparseTensor.toString(SparseTensor.s
cala:977)
        at java.lang.String.valueOf(String.java:2994)
        at scala.runtime.ScalaRunTime$.stringOf(ScalaRunTime.scala:331)
        at scala.runtime.ScalaRunTime$.replStringOf(ScalaRunTime.scala:337)
        at .<init>(<console>:10)
        at .<clinit>(<console>)
        at $print(<console>)
        at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
        at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.
java:62)
        at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAcces
sorImpl.java:43)
        at java.lang.reflect.Method.invoke(Method.java:498)
        at scala.tools.nsc.interpreter.IMain$ReadEvalPrint.call(IMain.scala:734)

        at scala.tools.nsc.interpreter.IMain$Request.loadAndRun(IMain.scala:983)

        at scala.tools.nsc.interpreter.IMain.loadAndRunReq$1(IMain.scala:573)
        at scala.tools.nsc.interpreter.IMain.interpret(IMain.scala:604)
        at scala.tools.nsc.interpreter.IMain.interpret(IMain.scala:568)
        at scala.tools.nsc.interpreter.ILoop.reallyInterpret$1(ILoop.scala:760)
        at scala.tools.nsc.interpreter.ILoop.interpretStartingWith(ILoop.scala:8
05)
        at scala.tools.nsc.interpreter.ILoop.command(ILoop.scala:717)
        at scala.tools.nsc.interpreter.ILoop.processLine$1(ILoop.scala:581)
        at scala.tools.nsc.interpreter.ILoop.innerLoop$1(ILoop.scala:588)
        at scala.tools.nsc.interpreter.ILoop.loop(ILoop.scala:591)
        at scala.tools.nsc.interpreter.ILoop$$anonfun$process$1.apply$mcZ$sp(ILo
op.scala:882)
        at scala.tools.nsc.interpreter.ILoop$$anonfun$process$1.apply(ILoop.scal
a:837)
        at scala.tools.nsc.interpreter.ILoop$$anonfun$process$1.apply(ILoop.scal
a:837)
        at scala.tools.nsc.util.ScalaClassLoader$.savingContextLoader(ScalaClass
Loader.scala:135)
        at scala.tools.nsc.interpreter.ILoop.process(ILoop.scala:837)
        at scala.tools.nsc.MainGenericRunner.runTarget$1(MainGenericRunner.scala
:83)
        at scala.tools.nsc.MainGenericRunner.process(MainGenericRunner.scala:96)

        at scala.tools.nsc.MainGenericRunner$.main(MainGenericRunner.scala:105)
        at scala.tools.nsc.MainGenericRunner.main(MainGenericRunner.scala)

2. I need to use SpatialConvolution.

[qiuxin2012]

@Justontheway

1. SparseTensor's API is different from DenseTensor's API, See SparseTensor for detail.

2. In my knowledge images are dense Data, could you tell me which kind of case will you use SpatialConvolution for Sparse Data?

[Justontheway]

I have some spatio-time data. I imagine it to sequential-images (time series spatio-data) to process.