TensorNormalize¶

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¶

• C++ source code

• C++ header file

See also¶

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