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This repository has been archived by the owner on Nov 17, 2023. It is now read-only.
I’ve trained my model using mxnet_1.3 python HybridBlock. Then I load the trained model in Scala. I didn’t get any errors when I run demo.Scala, and the output is shown in the following.
But now I got few problems:
Is possible to get the true value of the NDarray?
I followed the examples of the API https://mxnet.apache.org/api/scala/ndarray.html trying to print the value of NDarray by toarray. But I got an odd output looks like “F@4b553d2d” including the final output. I am very confused about the output value of NDArray.The demo code is shown in demo.Scala.
The API document of Mxnet demonstrates that the type input of the NDArray.array is restricted to Array[float].
Do I have to flatten my n-dimension matrix to one-dimension Array[float] when I want to create my own data?
Are there any other strategies to feed my data just like Numpy or python which directly take a matrix as an input?
Maybe I was doing something wrong. Please suggest!
Thank you
The text was updated successfully, but these errors were encountered:
I’ve trained my model using mxnet_1.3 python HybridBlock. Then I load the trained model in Scala. I didn’t get any errors when I run demo.Scala, and the output is shown in the following.
But now I got few problems:
Is possible to get the true value of the NDarray?
I followed the examples of the API https://mxnet.apache.org/api/scala/ndarray.html trying to print the value of NDarray by toarray. But I got an odd output looks like “F@4b553d2d” including the final output. I am very confused about the output value of NDArray.The demo code is shown in demo.Scala.
The API document of Mxnet demonstrates that the type input of the NDArray.array is restricted to Array[float].
Do I have to flatten my n-dimension matrix to one-dimension Array[float] when I want to create my own data?
Are there any other strategies to feed my data just like Numpy or python which directly take a matrix as an input?
Maybe I was doing something wrong. Please suggest!
Thank you
The text was updated successfully, but these errors were encountered: