dlpy.layers.Reshape¶
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class
dlpy.layers.Reshape(name=None, act='AUTO', fcmp_act=None, width=None, height=None, depth=None, src_layers=None, order=None, **kwargs)¶ Bases: dlpy.layers.Layer
Reshape layer
Parameters: - name : string, optional
Specifies the name of the layer.
- act : string, optional
Specifies the activation function.
Valid Values: AUTO, IDENTITY, LOGISTIC, SIGMOID, TANH, RECTIFIER, RELU, SOFPLUS, ELU, LEAKY, FCMP
Default: AUTO- fcmp_act : string, optional
Specifies the FCMP activation function for the layer.
- src_layers : iter-of-Layers, optional
Specifies the layers directed to this layer.
- height : int, optional
Specifies the height of the input data. By default the height is determined automatically when the model training begins.
- width : int, optional
Specifies the width of the input data. By default the width is determined automatically when the model training begins.
- depth : int, optional
Specifies the depth of the feature maps.
- src_layers : iter-of-Layers, optional
Specifies the layers directed to this layer.
- order : string, optional
Specifies how to reshape the source layer.
Valid Values: AUTO, WHD, WDH, DWH, HWD, DHW, HDW. For AUTO, when the output channel is 1, the reshape order is depth (D), width (W), and height (H). When the output channel is evenly divisible by the input channel, the reshape order is width (W), height (H), and depth (D).
Returns: -
__init__(name=None, act='AUTO', fcmp_act=None, width=None, height=None, depth=None, src_layers=None, order=None, **kwargs)¶ Initialize self. See help(type(self)) for accurate signature.
Methods
__init__([name, act, fcmp_act, width, …]) Initialize self. count_instances() format_name([block_num, local_count]) Format the name of the layer get_number_of_instances() to_model_params() Convert the model configuration to CAS action parameters