fairseq/models/nat/insertion_transformer.py
Killed 12 out of 46 mutantsSurvived
Survived mutation testing. These mutants show holes in your test suite.Mutant 2175
--- fairseq/models/nat/insertion_transformer.py
+++ fairseq/models/nat/insertion_transformer.py
@@ -25,7 +25,7 @@
# pre-compute some values
self.scores = {}
- self.scores[0.5] = self.compute_score_full(50, 0.5)
+ self.scores[1.5] = self.compute_score_full(50, 0.5)
self.scores[1.0] = self.compute_score_full(50, 1.0)
self.scores[2.0] = self.compute_score_full(50, 2.0)
Mutant 2176
--- fairseq/models/nat/insertion_transformer.py
+++ fairseq/models/nat/insertion_transformer.py
@@ -25,7 +25,7 @@
# pre-compute some values
self.scores = {}
- self.scores[0.5] = self.compute_score_full(50, 0.5)
+ self.scores[0.5] = self.compute_score_full(51, 0.5)
self.scores[1.0] = self.compute_score_full(50, 1.0)
self.scores[2.0] = self.compute_score_full(50, 2.0)
Mutant 2177
--- fairseq/models/nat/insertion_transformer.py
+++ fairseq/models/nat/insertion_transformer.py
@@ -25,7 +25,7 @@
# pre-compute some values
self.scores = {}
- self.scores[0.5] = self.compute_score_full(50, 0.5)
+ self.scores[0.5] = self.compute_score_full(50, 1.5)
self.scores[1.0] = self.compute_score_full(50, 1.0)
self.scores[2.0] = self.compute_score_full(50, 2.0)
Mutant 2178
--- fairseq/models/nat/insertion_transformer.py
+++ fairseq/models/nat/insertion_transformer.py
@@ -25,7 +25,7 @@
# pre-compute some values
self.scores = {}
- self.scores[0.5] = self.compute_score_full(50, 0.5)
+ self.scores[0.5] = None
self.scores[1.0] = self.compute_score_full(50, 1.0)
self.scores[2.0] = self.compute_score_full(50, 2.0)
Mutant 2179
--- fairseq/models/nat/insertion_transformer.py
+++ fairseq/models/nat/insertion_transformer.py
@@ -26,7 +26,7 @@
self.scores = {}
self.scores[0.5] = self.compute_score_full(50, 0.5)
- self.scores[1.0] = self.compute_score_full(50, 1.0)
+ self.scores[2.0] = self.compute_score_full(50, 1.0)
self.scores[2.0] = self.compute_score_full(50, 2.0)
def __call__(self, i, L, tau):
Mutant 2180
--- fairseq/models/nat/insertion_transformer.py
+++ fairseq/models/nat/insertion_transformer.py
@@ -26,7 +26,7 @@
self.scores = {}
self.scores[0.5] = self.compute_score_full(50, 0.5)
- self.scores[1.0] = self.compute_score_full(50, 1.0)
+ self.scores[1.0] = self.compute_score_full(51, 1.0)
self.scores[2.0] = self.compute_score_full(50, 2.0)
def __call__(self, i, L, tau):
Mutant 2181
--- fairseq/models/nat/insertion_transformer.py
+++ fairseq/models/nat/insertion_transformer.py
@@ -26,7 +26,7 @@
self.scores = {}
self.scores[0.5] = self.compute_score_full(50, 0.5)
- self.scores[1.0] = self.compute_score_full(50, 1.0)
+ self.scores[1.0] = self.compute_score_full(50, 2.0)
self.scores[2.0] = self.compute_score_full(50, 2.0)
def __call__(self, i, L, tau):
Mutant 2182
--- fairseq/models/nat/insertion_transformer.py
+++ fairseq/models/nat/insertion_transformer.py
@@ -26,7 +26,7 @@
self.scores = {}
self.scores[0.5] = self.compute_score_full(50, 0.5)
- self.scores[1.0] = self.compute_score_full(50, 1.0)
+ self.scores[1.0] = None
self.scores[2.0] = self.compute_score_full(50, 2.0)
def __call__(self, i, L, tau):
Mutant 2183
--- fairseq/models/nat/insertion_transformer.py
+++ fairseq/models/nat/insertion_transformer.py
@@ -27,7 +27,7 @@
self.scores[0.5] = self.compute_score_full(50, 0.5)
self.scores[1.0] = self.compute_score_full(50, 1.0)
- self.scores[2.0] = self.compute_score_full(50, 2.0)
+ self.scores[3.0] = self.compute_score_full(50, 2.0)
def __call__(self, i, L, tau):
if (tau is None) or (tau > 1000):
Mutant 2184
--- fairseq/models/nat/insertion_transformer.py
+++ fairseq/models/nat/insertion_transformer.py
@@ -27,7 +27,7 @@
self.scores[0.5] = self.compute_score_full(50, 0.5)
self.scores[1.0] = self.compute_score_full(50, 1.0)
- self.scores[2.0] = self.compute_score_full(50, 2.0)
+ self.scores[2.0] = self.compute_score_full(51, 2.0)
def __call__(self, i, L, tau):
if (tau is None) or (tau > 1000):
Mutant 2185
--- fairseq/models/nat/insertion_transformer.py
+++ fairseq/models/nat/insertion_transformer.py
@@ -27,7 +27,7 @@
self.scores[0.5] = self.compute_score_full(50, 0.5)
self.scores[1.0] = self.compute_score_full(50, 1.0)
- self.scores[2.0] = self.compute_score_full(50, 2.0)
+ self.scores[2.0] = self.compute_score_full(50, 3.0)
def __call__(self, i, L, tau):
if (tau is None) or (tau > 1000):
Mutant 2186
--- fairseq/models/nat/insertion_transformer.py
+++ fairseq/models/nat/insertion_transformer.py
@@ -27,7 +27,7 @@
self.scores[0.5] = self.compute_score_full(50, 0.5)
self.scores[1.0] = self.compute_score_full(50, 1.0)
- self.scores[2.0] = self.compute_score_full(50, 2.0)
+ self.scores[2.0] = None
def __call__(self, i, L, tau):
if (tau is None) or (tau > 1000):
Mutant 2187
--- fairseq/models/nat/insertion_transformer.py
+++ fairseq/models/nat/insertion_transformer.py
@@ -44,7 +44,7 @@
return s / s.sum()
def compute_score_full(self, L, tau):
- s = -abs(np.arange(0, L - 1)[:, None] / 2 - np.arange(L)[None, :]) / tau
+ s = +abs(np.arange(0, L - 1)[:, None] / 2 - np.arange(L)[None, :]) / tau
s = np.tril(s, 0) + np.triu(s - float("inf"), 1)
s = np.exp(s - s.max(1, keepdims=True))
return s / s.sum(1, keepdims=True)
Mutant 2188
--- fairseq/models/nat/insertion_transformer.py
+++ fairseq/models/nat/insertion_transformer.py
@@ -44,7 +44,7 @@
return s / s.sum()
def compute_score_full(self, L, tau):
- s = -abs(np.arange(0, L - 1)[:, None] / 2 - np.arange(L)[None, :]) / tau
+ s = -abs(np.arange(1, L - 1)[:, None] / 2 - np.arange(L)[None, :]) / tau
s = np.tril(s, 0) + np.triu(s - float("inf"), 1)
s = np.exp(s - s.max(1, keepdims=True))
return s / s.sum(1, keepdims=True)
Mutant 2189
--- fairseq/models/nat/insertion_transformer.py
+++ fairseq/models/nat/insertion_transformer.py
@@ -44,7 +44,7 @@
return s / s.sum()
def compute_score_full(self, L, tau):
- s = -abs(np.arange(0, L - 1)[:, None] / 2 - np.arange(L)[None, :]) / tau
+ s = -abs(np.arange(0, L + 1)[:, None] / 2 - np.arange(L)[None, :]) / tau
s = np.tril(s, 0) + np.triu(s - float("inf"), 1)
s = np.exp(s - s.max(1, keepdims=True))
return s / s.sum(1, keepdims=True)
Mutant 2190
--- fairseq/models/nat/insertion_transformer.py
+++ fairseq/models/nat/insertion_transformer.py
@@ -44,7 +44,7 @@
return s / s.sum()
def compute_score_full(self, L, tau):
- s = -abs(np.arange(0, L - 1)[:, None] / 2 - np.arange(L)[None, :]) / tau
+ s = -abs(np.arange(0, L - 2)[:, None] / 2 - np.arange(L)[None, :]) / tau
s = np.tril(s, 0) + np.triu(s - float("inf"), 1)
s = np.exp(s - s.max(1, keepdims=True))
return s / s.sum(1, keepdims=True)
Mutant 2191
--- fairseq/models/nat/insertion_transformer.py
+++ fairseq/models/nat/insertion_transformer.py
@@ -44,7 +44,7 @@
return s / s.sum()
def compute_score_full(self, L, tau):
- s = -abs(np.arange(0, L - 1)[:, None] / 2 - np.arange(L)[None, :]) / tau
+ s = -abs(np.arange(0, L - 1)[:, None] * 2 - np.arange(L)[None, :]) / tau
s = np.tril(s, 0) + np.triu(s - float("inf"), 1)
s = np.exp(s - s.max(1, keepdims=True))
return s / s.sum(1, keepdims=True)
Mutant 2192
--- fairseq/models/nat/insertion_transformer.py
+++ fairseq/models/nat/insertion_transformer.py
@@ -44,7 +44,7 @@
return s / s.sum()
def compute_score_full(self, L, tau):
- s = -abs(np.arange(0, L - 1)[:, None] / 2 - np.arange(L)[None, :]) / tau
+ s = -abs(np.arange(0, L - 1)[:, None] / 3 - np.arange(L)[None, :]) / tau
s = np.tril(s, 0) + np.triu(s - float("inf"), 1)
s = np.exp(s - s.max(1, keepdims=True))
return s / s.sum(1, keepdims=True)
Mutant 2193
--- fairseq/models/nat/insertion_transformer.py
+++ fairseq/models/nat/insertion_transformer.py
@@ -44,7 +44,7 @@
return s / s.sum()
def compute_score_full(self, L, tau):
- s = -abs(np.arange(0, L - 1)[:, None] / 2 - np.arange(L)[None, :]) / tau
+ s = -abs(np.arange(0, L - 1)[:, None] / 2 + np.arange(L)[None, :]) / tau
s = np.tril(s, 0) + np.triu(s - float("inf"), 1)
s = np.exp(s - s.max(1, keepdims=True))
return s / s.sum(1, keepdims=True)
Mutant 2194
--- fairseq/models/nat/insertion_transformer.py
+++ fairseq/models/nat/insertion_transformer.py
@@ -44,7 +44,7 @@
return s / s.sum()
def compute_score_full(self, L, tau):
- s = -abs(np.arange(0, L - 1)[:, None] / 2 - np.arange(L)[None, :]) / tau
+ s = -abs(np.arange(0, L - 1)[:, None] / 2 - np.arange(L)[None, :]) * tau
s = np.tril(s, 0) + np.triu(s - float("inf"), 1)
s = np.exp(s - s.max(1, keepdims=True))
return s / s.sum(1, keepdims=True)
Mutant 2196
--- fairseq/models/nat/insertion_transformer.py
+++ fairseq/models/nat/insertion_transformer.py
@@ -45,7 +45,7 @@
def compute_score_full(self, L, tau):
s = -abs(np.arange(0, L - 1)[:, None] / 2 - np.arange(L)[None, :]) / tau
- s = np.tril(s, 0) + np.triu(s - float("inf"), 1)
+ s = np.tril(s, 1) + np.triu(s - float("inf"), 1)
s = np.exp(s - s.max(1, keepdims=True))
return s / s.sum(1, keepdims=True)
Mutant 2197
--- fairseq/models/nat/insertion_transformer.py
+++ fairseq/models/nat/insertion_transformer.py
@@ -45,7 +45,7 @@
def compute_score_full(self, L, tau):
s = -abs(np.arange(0, L - 1)[:, None] / 2 - np.arange(L)[None, :]) / tau
- s = np.tril(s, 0) + np.triu(s - float("inf"), 1)
+ s = np.tril(s, 0) - np.triu(s - float("inf"), 1)
s = np.exp(s - s.max(1, keepdims=True))
return s / s.sum(1, keepdims=True)
Mutant 2198
--- fairseq/models/nat/insertion_transformer.py
+++ fairseq/models/nat/insertion_transformer.py
@@ -45,7 +45,7 @@
def compute_score_full(self, L, tau):
s = -abs(np.arange(0, L - 1)[:, None] / 2 - np.arange(L)[None, :]) / tau
- s = np.tril(s, 0) + np.triu(s - float("inf"), 1)
+ s = np.tril(s, 0) + np.triu(s + float("inf"), 1)
s = np.exp(s - s.max(1, keepdims=True))
return s / s.sum(1, keepdims=True)
Mutant 2200
--- fairseq/models/nat/insertion_transformer.py
+++ fairseq/models/nat/insertion_transformer.py
@@ -45,7 +45,7 @@
def compute_score_full(self, L, tau):
s = -abs(np.arange(0, L - 1)[:, None] / 2 - np.arange(L)[None, :]) / tau
- s = np.tril(s, 0) + np.triu(s - float("inf"), 1)
+ s = np.tril(s, 0) + np.triu(s - float("inf"), 2)
s = np.exp(s - s.max(1, keepdims=True))
return s / s.sum(1, keepdims=True)
Mutant 2202
--- fairseq/models/nat/insertion_transformer.py
+++ fairseq/models/nat/insertion_transformer.py
@@ -46,7 +46,7 @@
def compute_score_full(self, L, tau):
s = -abs(np.arange(0, L - 1)[:, None] / 2 - np.arange(L)[None, :]) / tau
s = np.tril(s, 0) + np.triu(s - float("inf"), 1)
- s = np.exp(s - s.max(1, keepdims=True))
+ s = np.exp(s + s.max(1, keepdims=True))
return s / s.sum(1, keepdims=True)
Mutant 2206
--- fairseq/models/nat/insertion_transformer.py
+++ fairseq/models/nat/insertion_transformer.py
@@ -47,7 +47,7 @@
s = -abs(np.arange(0, L - 1)[:, None] / 2 - np.arange(L)[None, :]) / tau
s = np.tril(s, 0) + np.triu(s - float("inf"), 1)
s = np.exp(s - s.max(1, keepdims=True))
- return s / s.sum(1, keepdims=True)
+ return s * s.sum(1, keepdims=True)
neg_scorer = NegativeDistanceScore()
Mutant 2209
--- fairseq/models/nat/insertion_transformer.py
+++ fairseq/models/nat/insertion_transformer.py
@@ -50,7 +50,7 @@
return s / s.sum(1, keepdims=True)
-neg_scorer = NegativeDistanceScore()
+neg_scorer = None
def _get_ins_targets(in_tokens, out_tokens, padding_idx, unk_idx, vocab_size, tau=None):
Mutant 2212
--- fairseq/models/nat/insertion_transformer.py
+++ fairseq/models/nat/insertion_transformer.py
@@ -122,7 +122,6 @@
def __init__(self, args, encoder, decoder):
super().__init__(args, encoder, decoder)
- @staticmethod
def add_args(parser):
FairseqNATModel.add_args(parser)
parser.add_argument("--label-tau", default=None, type=float)
Mutant 2213
--- fairseq/models/nat/insertion_transformer.py
+++ fairseq/models/nat/insertion_transformer.py
@@ -127,7 +127,6 @@
FairseqNATModel.add_args(parser)
parser.add_argument("--label-tau", default=None, type=float)
- @classmethod
def build_decoder(cls, args, tgt_dict, embed_tokens):
decoder = InsertionTransformerDecoder(args, tgt_dict, embed_tokens)
if getattr(args, "apply_bert_init", False):
Mutant 2214
--- fairseq/models/nat/insertion_transformer.py
+++ fairseq/models/nat/insertion_transformer.py
@@ -169,7 +169,7 @@
}
def forward_decoder(
- self, decoder_out, encoder_out, eos_penalty=0.0, max_ratio=None, **kwargs
+ self, decoder_out, encoder_out, eos_penalty=1.0, max_ratio=None, **kwargs
):
output_tokens = decoder_out.output_tokens
Mutant 2215
--- fairseq/models/nat/insertion_transformer.py
+++ fairseq/models/nat/insertion_transformer.py
@@ -207,7 +207,7 @@
class InsertionTransformerDecoder(LevenshteinTransformerDecoder):
- def __init__(self, args, dictionary, embed_tokens, no_encoder_attn=False):
+ def __init__(self, args, dictionary, embed_tokens, no_encoder_attn=True):
# use the TransformerDecoder's __init__
super(LevenshteinTransformerDecoder, self).__init__(
args, dictionary, embed_tokens, no_encoder_attn=no_encoder_attn
Mutant 2216
--- fairseq/models/nat/insertion_transformer.py
+++ fairseq/models/nat/insertion_transformer.py
@@ -221,7 +221,6 @@
self.label_tau = getattr(args, "label_tau", None)
- @ensemble_decoder
def forward_word_ins(self, normalize, encoder_out, prev_output_tokens):
features = self.extract_features(prev_output_tokens, encoder_out=encoder_out)[0]
features = self.pool_out(
Mutant 2218
--- fairseq/models/nat/insertion_transformer.py
+++ fairseq/models/nat/insertion_transformer.py
@@ -237,7 +237,7 @@
raise NotImplementedError
-@register_model_architecture("insertion_transformer", "insertion_transformer")
+@register_model_architecture("insertion_transformer", "XXinsertion_transformerXX")
def insertion_base_architecture(args):
args.encoder_embed_path = getattr(args, "encoder_embed_path", None)
args.encoder_embed_dim = getattr(args, "encoder_embed_dim", 512)
Mutant 2219
--- fairseq/models/nat/insertion_transformer.py
+++ fairseq/models/nat/insertion_transformer.py
@@ -236,8 +236,6 @@
def forward_word_del(self, *args, **kwargs):
raise NotImplementedError
-
-@register_model_architecture("insertion_transformer", "insertion_transformer")
def insertion_base_architecture(args):
args.encoder_embed_path = getattr(args, "encoder_embed_path", None)
args.encoder_embed_dim = getattr(args, "encoder_embed_dim", 512)