Class: Torch::NN::InstanceNorm1d

Inherits:
InstanceNorm show all
Defined in:
lib/torch/nn/instance_norm1d.rb

Instance Attribute Summary

Attributes inherited from Module

#training

Instance Method Summary collapse

Methods inherited from InstanceNorm

#forward, #initialize

Methods inherited from BatchNorm

#extra_inspect, #forward, #initialize, #reset_parameters, #reset_running_stats

Methods inherited from Module

#_apply, #add_module, #apply, #buffers, #call, #children, #cpu, #cuda, #deep_dup, #double, #eval, #float, #forward, #half, #initialize, #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

This class inherits a constructor from Torch::NN::InstanceNorm

Dynamic Method Handling

This class handles dynamic methods through the method_missing method in the class Torch::NN::Module

Instance Method Details

#_check_input_dim(input) ⇒ Object 



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# File 'lib/torch/nn/instance_norm1d.rb', line 4

def _check_input_dim(input)
  if input.dim == 2
    raise ArgumentError,
      "InstanceNorm1d returns 0-filled tensor to 2D tensor." +
      "This is because InstanceNorm1d reshapes inputs to" +
      "(1, N * C, ...) from (N, C,...) and this makes" +
      "variances 0."
  end
  if input.dim != 3
    raise "expected 3D input (got #{input.dim}D input)"
  end
end