Class: Transformers::Vit::ViTEncoder

Inherits:
Torch::NN::Module
  • Object
show all
Defined in:
lib/transformers/models/vit/modeling_vit.rb

Instance Method Summary collapse

Constructor Details

#initialize(config) ⇒ ViTEncoder

Returns a new instance of ViTEncoder.



288
289
290
291
292
293
 
# File 'lib/transformers/models/vit/modeling_vit.rb', line 288

def initialize(config)
  super()
  @config = config
  @layer = Torch::NN::ModuleList.new(config.num_hidden_layers.times.map { ViTLayer.new(config) })
  @gradient_checkpointing = false
end

Instance Method Details

#forward(hidden_states, head_mask: nil, output_attentions: false, output_hidden_states: false, return_dict: true) ⇒ Object 



295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
 
# File 'lib/transformers/models/vit/modeling_vit.rb', line 295

def forward(
  hidden_states,
  head_mask: nil,
  output_attentions: false,
  output_hidden_states: false,
  return_dict: true
)
  all_hidden_states = output_hidden_states ? [] : nil
  all_self_attentions = output_attentions ? [] : nil

  @layer.each_with_index do |layer_module, i|
    if output_hidden_states
      all_hidden_states = all_hidden_states + [hidden_states]
    end

    layer_head_mask = !head_mask.nil? ? head_mask[i] : nil

    if @gradient_checkpointing && @training
      raise Todo
    else
      layer_outputs = layer_module.(hidden_states, head_mask: layer_head_mask, output_attentions: output_attentions)
    end

    hidden_states = layer_outputs[0]

    if output_attentions
      all_self_attentions = all_self_attentions + [layer_outputs[1]]
    end
  end

  if output_hidden_states
    all_hidden_states = all_hidden_states + [hidden_states]
  end

  if !return_dict
    raise Todo
  end
  BaseModelOutput.new(
    last_hidden_state: hidden_states,
    hidden_states: all_hidden_states,
    attentions: all_self_attentions
  )
end