TensorNormalize

streaming mode | Standard category

Inputs

  • tensor (tensor_real) - the input tensor

Outputs

  • tensor (tensor_real) - the normalized output tensor

Parameters

  • axis (integer ∈ [-1, 4), default = 0) :

    Normalize along the given axis. -1 to normalize along all the dimensions

  • scaler (string ∈ {standard, minMax}, default = standard) :

    the type of the normalization to apply to input tensor

  • skipConstantSlices (bool ∈ {false, true}, default = true) :

    Whether to prevent dividing by zero constant slices (zero standard deviation)

Description

This algorithm performs normalization over a tensor. When the axis parameter is set to -1 the input tensor is globally normalized. Any other value means that the tensor will be normalized along that axis. This algorithm supports Standard and MinMax normalizations.

References:

[1] Feature scaling - Wikipedia, the free encyclopedia, https://en.wikipedia.org/wiki/Feature_scaling

Source code

See also

MinMax (standard) MinMax (streaming) TensorNormalize (standard)