Class: Torch::NN::Bilinear
Instance Attribute Summary
Attributes inherited from Module
Instance Method Summary collapse
- #extra_inspect ⇒ Object
- #forward(input1, input2) ⇒ Object
-
#initialize(in1_features, in2_features, out_features, bias: true) ⇒ Bilinear
constructor
A new instance of Bilinear.
- #reset_parameters ⇒ Object
Methods inherited from Module
#_apply, #add_module, #apply, #buffers, #call, #children, #cpu, #cuda, #deep_dup, #double, #eval, #float, #half, #inspect, #load_state_dict, #method_missing, #modules, #named_buffers, #named_children, #named_modules, #named_parameters, #parameters, #register_buffer, #register_parameter, #requires_grad!, #respond_to?, #share_memory, #state_dict, #to, #train, #type, #zero_grad
Methods included from Utils
#_activation_fn, #_clones, #_ntuple, #_pair, #_quadrupal, #_single, #_triple
Constructor Details
#initialize(in1_features, in2_features, out_features, bias: true) ⇒ Bilinear
Returns a new instance of Bilinear.
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# File 'lib/torch/nn/bilinear.rb', line 4 def initialize(in1_features, in2_features, out_features, bias: true) super() @in1_features = in1_features @in2_features = in2_features @out_features = out_features @weight = Parameter.new(Tensor.new(out_features, in1_features, in2_features)) if bias @bias = Parameter.new(Tensor.new(out_features)) else raise NotImplementedYet end reset_parameters end |
Dynamic Method Handling
This class handles dynamic methods through the method_missing method in the class Torch::NN::Module
Instance Method Details
#extra_inspect ⇒ Object
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# File 'lib/torch/nn/bilinear.rb', line 33 def extra_inspect format("in1_features: %s, in2_features: %s, out_features: %s, bias: %s", @in1_features, @in2_features, @out_features, !@bias.nil?) end |
#forward(input1, input2) ⇒ Object
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# File 'lib/torch/nn/bilinear.rb', line 29 def forward(input1, input2) F.bilinear(input1, input2, @weight, @bias) end |