Class: Torch::NN::PoissonNLLLoss
- Defined in:
- lib/torch/nn/poisson_nll_loss.rb
Instance Method Summary collapse
- #forward(log_input, target) ⇒ Object
-
#initialize(log_input: true, full: false, eps: 1e-8, reduction: "mean") ⇒ PoissonNLLLoss
constructor
A new instance of PoissonNLLLoss.
Methods inherited from Module
#_apply, #add_module, #apply, #buffers, #call, #children, #cpu, #cuda, #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
#_ntuple, #_pair, #_quadrupal, #_single, #_triple
Constructor Details
#initialize(log_input: true, full: false, eps: 1e-8, reduction: "mean") ⇒ PoissonNLLLoss
Returns a new instance of PoissonNLLLoss.
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# File 'lib/torch/nn/poisson_nll_loss.rb', line 4 def initialize(log_input: true, full: false, eps: 1e-8, reduction: "mean") super(reduction) @log_input = log_input @full = full @eps = eps end |
Dynamic Method Handling
This class handles dynamic methods through the method_missing method in the class Torch::NN::Module
Instance Method Details
#forward(log_input, target) ⇒ Object
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# File 'lib/torch/nn/poisson_nll_loss.rb', line 11 def forward(log_input, target) F.poisson_nll_loss(log_input, target, log_input: @log_input, full: @full, eps: @eps, reduction: @reduction) end |