Class: Torch::NN::CTCLoss
Instance Attribute Summary
Attributes inherited from Module
Instance Method Summary collapse
- #forward(log_probs, targets, input_lengths, target_lengths) ⇒ Object
-
#initialize(blank: 0, reduction: "mean", zero_infinity: false) ⇒ CTCLoss
constructor
A new instance of CTCLoss.
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(blank: 0, reduction: "mean", zero_infinity: false) ⇒ CTCLoss
Returns a new instance of CTCLoss.
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# File 'lib/torch/nn/ctc_loss.rb', line 4 def initialize(blank: 0, reduction: "mean", zero_infinity: false) super(reduction) @blank = blank @zero_infinity = zero_infinity 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_probs, targets, input_lengths, target_lengths) ⇒ Object
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# File 'lib/torch/nn/ctc_loss.rb', line 10 def forward(log_probs, targets, input_lengths, target_lengths) F.ctc_loss(log_probs, targets, input_lengths, target_lengths, blank: @blank, reduction: @reduction, zero_infinity: @zero_infinity) end |