# mxnet.gluon.data.vision.transforms.Normalize¶

class mxnet.gluon.data.vision.transforms.Normalize(mean, std)[source]

Normalize an tensor of shape (C x H x W) with mean and standard deviation.

Given mean (m1, …, mn) and std (s1, …, sn) for n channels, this transform normalizes each channel of the input tensor with:

output[i] = (input[i] - mi) / si


If mean or std is scalar, the same value will be applied to all channels.

Parameters: mean (float or tuple of floats) – The mean values. std (float or tuple of floats) – The standard deviation values.
Inputs:
• data: input tensor with (C x H x W) shape.
Outputs:
• out: output tensor with the shape as data.
__init__(mean, std)[source]

Initialize self. See help(type(self)) for accurate signature.

Methods

 __init__(mean, std) Initialize self. apply(fn) Applies fn recursively to every child block as well as self. cast(dtype) Cast this Block to use another data type. collect_params([select]) Returns a ParameterDict containing this Block and all of its children’s Parameters(default), also can returns the select ParameterDict which match some given regular expressions. export(path[, epoch]) Export HybridBlock to json format that can be loaded by SymbolBlock.imports, mxnet.mod.Module or the C++ interface. forward(x, *args) Defines the forward computation. hybrid_forward(F, x) Overrides to construct symbolic graph for this Block. hybridize([active]) Activates or deactivates HybridBlock s recursively. infer_shape(*args) Infers shape of Parameters from inputs. infer_type(*args) Infers data type of Parameters from inputs. initialize([init, ctx, verbose, force_reinit]) Initializes Parameter s of this Block and its children. load_parameters(filename[, ctx, …]) Load parameters from file previously saved by save_parameters. load_params(filename[, ctx, allow_missing, …]) [Deprecated] Please use load_parameters. name_scope() Returns a name space object managing a child Block and parameter names. register_child(block[, name]) Registers block as a child of self. register_forward_hook(hook) Registers a forward hook on the block. register_forward_pre_hook(hook) Registers a forward pre-hook on the block. save_parameters(filename) Save parameters to file. save_params(filename) [Deprecated] Please use save_parameters. summary(*inputs) Print the summary of the model’s output and parameters.

Attributes

 name Name of this Block, without ‘_’ in the end. params Returns this Block’s parameter dictionary (does not include its children’s parameters). prefix Prefix of this Block.