Class: Torch::NN::InstanceNorm1d
- Inherits:
-
InstanceNorm
- Object
- Module
- BatchNorm
- InstanceNorm
- Torch::NN::InstanceNorm1d
- Defined in:
- lib/torch/nn/instance_norm1d.rb
Instance Method Summary collapse
Methods inherited from InstanceNorm
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, #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
#_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 |