mxnet.gluon.data.vision.transforms.Compose¶

class mxnet.gluon.data.vision.transforms.Compose(transforms)[source]¶

Sequentially composes multiple transforms.

Parameters: transforms (list of transform Blocks.) – The list of transforms to be composed.

Inputs:

data: input tensor with shape of the first transform Block requires.

Outputs:

out: output tensor with shape of the last transform Block produces.

Examples

>>> transformer = transforms.Compose([transforms.Resize(300),
...                                   transforms.CenterCrop(256),
...                                   transforms.ToTensor()])
>>> image = mx.nd.random.uniform(0, 255, (224, 224, 3)).astype(dtype=np.uint8)
>>> transformer(image)
<NDArray 3x256x256 @cpu(0)>

__init__(transforms)[source]¶: Initialize self. See help(type(self)) for accurate signature.

Methods

`__init__`(transforms)	Initialize self.
`add`(*blocks)	Adds block on top of the stack.
`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.
`forward`(x)	Overrides to implement forward computation using `NDArray`.
`hybridize`([active])	Activates or deactivates HybridBlock s recursively.
`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`.