ccdv commited on
Commit
c1e6846
1 Parent(s): 58bc63c

add mask_first_token

Browse files
Files changed (2) hide show
  1. config.json +1 -0
  2. modeling_lsg_bart.py +6 -1
config.json CHANGED
@@ -52,6 +52,7 @@
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  },
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  "length_penalty": 2.0,
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  "lsh_num_pre_rounds": 1,
 
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  "max_length": 128,
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  "max_position_embeddings": 4096,
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  "min_length": 3,
 
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  },
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  "length_penalty": 2.0,
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  "lsh_num_pre_rounds": 1,
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+ "mask_first_token": false,
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  "max_length": 128,
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  "max_position_embeddings": 4096,
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  "min_length": 3,
modeling_lsg_bart.py CHANGED
@@ -31,6 +31,7 @@ class LSGBartConfig(BartConfig):
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  base_model_prefix="lsg",
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  block_size=128,
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  lsh_num_pre_rounds=1,
 
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  num_global_tokens=1,
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  pass_global_tokens_to_decoder=True,
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  pool_with_global=True,
@@ -47,6 +48,7 @@ class LSGBartConfig(BartConfig):
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  self.base_model_prefix = base_model_prefix
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  self.block_size = block_size
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  self.lsh_num_pre_rounds = lsh_num_pre_rounds
 
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  self.num_global_tokens = num_global_tokens
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  self.pass_global_tokens_to_decoder = pass_global_tokens_to_decoder
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  self.pool_with_global = pool_with_global
@@ -711,6 +713,7 @@ class LSGBartEncoder(LSGBartPretrainedModel, BartEncoder):
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  assert hasattr(config, "block_size") and hasattr(config, "adaptive")
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  self.block_size = config.block_size
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  self.adaptive = config.adaptive
 
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  self.pool_with_global = config.pool_with_global
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  self.pass_global_tokens_to_decoder = config.pass_global_tokens_to_decoder
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@@ -737,7 +740,9 @@ class LSGBartEncoder(LSGBartPretrainedModel, BartEncoder):
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  if attention_mask is None:
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  attention_mask = torch.ones(n, t, device=inputs_.device)
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-
 
 
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  b = self.block_size * 2
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  pad = t % self.block_size
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  base_model_prefix="lsg",
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  block_size=128,
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  lsh_num_pre_rounds=1,
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+ mask_first_token=False,
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  num_global_tokens=1,
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  pass_global_tokens_to_decoder=True,
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  pool_with_global=True,
 
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  self.base_model_prefix = base_model_prefix
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  self.block_size = block_size
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  self.lsh_num_pre_rounds = lsh_num_pre_rounds
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+ self.mask_first_token = mask_first_token
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  self.num_global_tokens = num_global_tokens
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  self.pass_global_tokens_to_decoder = pass_global_tokens_to_decoder
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  self.pool_with_global = pool_with_global
 
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  assert hasattr(config, "block_size") and hasattr(config, "adaptive")
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  self.block_size = config.block_size
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  self.adaptive = config.adaptive
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+ self.mask_first_token = config.mask_first_token
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  self.pool_with_global = config.pool_with_global
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  self.pass_global_tokens_to_decoder = config.pass_global_tokens_to_decoder
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  if attention_mask is None:
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  attention_mask = torch.ones(n, t, device=inputs_.device)
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+ if self.mask_first_token:
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+ attention_mask[:, 0] = 0
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+
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  b = self.block_size * 2
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  pad = t % self.block_size
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