FloatArrayInitInfo

Initialization of a tensor for float array. If the float values to be contained by the tensor is supposed to be static, you should consider using the FloatArray.tensor and Float.tensor defined in Pipeline, which allows you to do the following:

with(pipeline) {
val arrTensor = floatArrayOf(0.001f, -0.002f, 0.003f, 5.555e10f).tensor
// or for single float:
val fVal = 10.0f
val scalarTensor = fVal.tensor
}

Within a Pipeline scope.

Note here, since a FLOAT ARRAY tensor is a special-usage tensor, it is not the exact tensor as we have been using in mathematics and physics. Rather, the word tensor represents an opaque handle or an abstraction of data, that your application hands over to SecureMR service to process.

A FLOAT ARRAY is equivalent to a single-dimension array of FLOAT32 values.

Parameters

size

Number of float values to be contained by this tensor.

Constructors

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constructor(size: Int)