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FlowNode wraps a Flow of Nodes into a single Node. This is handy if you want to use a flow where a Node is required. Additional args and kwargs for train and execute are supported. Note that for nodes in the internal flow the intermediate training phases will generally be closed, e.g. a CheckpointSaveFunction should not expect these training phases to be left open. All the read-only container slots are supported and are forwarded to the internal flow.
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__metaclass__ This Metaclass is meant to overwrite doc strings of methods like execute, stop_training, inverse with the ones defined in the corresponding private methods _execute, _stop_training, _inverse, etc... |
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flow Read-only internal flow property. |
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_train_seq List of tuples: [(training-phase1, stop-training-phase1), (training-phase2, stop_training-phase2), ... |
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dtype dtype |
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input_dim Input dimensions |
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output_dim Output dimensions |
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supported_dtypes Supported dtypes |
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Wrap the given flow into this node. Pretrained nodes are allowed, but the internal flow should not be modified after the FlowNode was created (this will cause problems if the training phase structure of the internal nodes changes). If the node dimensions and dtype are not specified, they will be extracted from the internal nodes (late dimension setting is also supported). flow can have crash recovery enabled, but there is no special support for it.
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Return wrapper for stop_training to set FlowNode outputdim. |
Return the list of dtypes supported by this node. The types can be specified in any format allowed by numpy.dtype.
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Return a training sequence containing all training phases.
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Return True if the node can be inverted, False otherwise.
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Return True if the node can be trained, False otherwise.
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flowRead-only internal flow property. In general the internal flow should not be modified (see __init__ for more details).
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