fairseq/models/lightconv.py
Killed 14 out of 131 mutantsSurvived
Survived mutation testing. These mutants show holes in your test suite.Mutant 2490
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -48,7 +48,6 @@
:prog:
"""
- @classmethod
def hub_models(cls):
# fmt: off
Mutant 2491
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -78,7 +78,6 @@
def __init__(self, encoder, decoder):
super().__init__(encoder, decoder)
- @staticmethod
def add_args(parser):
"""Add model-specific arguments to the parser."""
parser.add_argument('--dropout', type=float, metavar='D',
Mutant 2492
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -81,7 +81,7 @@
@staticmethod
def add_args(parser):
"""Add model-specific arguments to the parser."""
- parser.add_argument('--dropout', type=float, metavar='D',
+ parser.add_argument('XX--dropoutXX', type=float, metavar='D',
help='dropout probability')
parser.add_argument('--attention-dropout', type=float, metavar='D',
help='dropout probability for attention weights')
Mutant 2493
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -81,7 +81,7 @@
@staticmethod
def add_args(parser):
"""Add model-specific arguments to the parser."""
- parser.add_argument('--dropout', type=float, metavar='D',
+ parser.add_argument('--dropout', type=float, metavar='XXDXX',
help='dropout probability')
parser.add_argument('--attention-dropout', type=float, metavar='D',
help='dropout probability for attention weights')
Mutant 2494
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -82,7 +82,7 @@
def add_args(parser):
"""Add model-specific arguments to the parser."""
parser.add_argument('--dropout', type=float, metavar='D',
- help='dropout probability')
+ help='XXdropout probabilityXX')
parser.add_argument('--attention-dropout', type=float, metavar='D',
help='dropout probability for attention weights')
parser.add_argument('--relu-dropout', type=float, metavar='D',
Mutant 2495
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -83,7 +83,7 @@
"""Add model-specific arguments to the parser."""
parser.add_argument('--dropout', type=float, metavar='D',
help='dropout probability')
- parser.add_argument('--attention-dropout', type=float, metavar='D',
+ parser.add_argument('XX--attention-dropoutXX', type=float, metavar='D',
help='dropout probability for attention weights')
parser.add_argument('--relu-dropout', type=float, metavar='D',
help='dropout probability after ReLU in FFN')
Mutant 2496
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -83,7 +83,7 @@
"""Add model-specific arguments to the parser."""
parser.add_argument('--dropout', type=float, metavar='D',
help='dropout probability')
- parser.add_argument('--attention-dropout', type=float, metavar='D',
+ parser.add_argument('--attention-dropout', type=float, metavar='XXDXX',
help='dropout probability for attention weights')
parser.add_argument('--relu-dropout', type=float, metavar='D',
help='dropout probability after ReLU in FFN')
Mutant 2497
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -84,7 +84,7 @@
parser.add_argument('--dropout', type=float, metavar='D',
help='dropout probability')
parser.add_argument('--attention-dropout', type=float, metavar='D',
- help='dropout probability for attention weights')
+ help='XXdropout probability for attention weightsXX')
parser.add_argument('--relu-dropout', type=float, metavar='D',
help='dropout probability after ReLU in FFN')
parser.add_argument('--input-dropout', type=float, metavar='D',
Mutant 2498
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -85,7 +85,7 @@
help='dropout probability')
parser.add_argument('--attention-dropout', type=float, metavar='D',
help='dropout probability for attention weights')
- parser.add_argument('--relu-dropout', type=float, metavar='D',
+ parser.add_argument('XX--relu-dropoutXX', type=float, metavar='D',
help='dropout probability after ReLU in FFN')
parser.add_argument('--input-dropout', type=float, metavar='D',
help='dropout probability of the inputs')
Mutant 2499
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -85,7 +85,7 @@
help='dropout probability')
parser.add_argument('--attention-dropout', type=float, metavar='D',
help='dropout probability for attention weights')
- parser.add_argument('--relu-dropout', type=float, metavar='D',
+ parser.add_argument('--relu-dropout', type=float, metavar='XXDXX',
help='dropout probability after ReLU in FFN')
parser.add_argument('--input-dropout', type=float, metavar='D',
help='dropout probability of the inputs')
Mutant 2500
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -86,7 +86,7 @@
parser.add_argument('--attention-dropout', type=float, metavar='D',
help='dropout probability for attention weights')
parser.add_argument('--relu-dropout', type=float, metavar='D',
- help='dropout probability after ReLU in FFN')
+ help='XXdropout probability after ReLU in FFNXX')
parser.add_argument('--input-dropout', type=float, metavar='D',
help='dropout probability of the inputs')
parser.add_argument('--encoder-embed-path', type=str, metavar='STR',
Mutant 2501
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -87,7 +87,7 @@
help='dropout probability for attention weights')
parser.add_argument('--relu-dropout', type=float, metavar='D',
help='dropout probability after ReLU in FFN')
- parser.add_argument('--input-dropout', type=float, metavar='D',
+ parser.add_argument('XX--input-dropoutXX', type=float, metavar='D',
help='dropout probability of the inputs')
parser.add_argument('--encoder-embed-path', type=str, metavar='STR',
help='path to pre-trained encoder embedding')
Mutant 2502
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -87,7 +87,7 @@
help='dropout probability for attention weights')
parser.add_argument('--relu-dropout', type=float, metavar='D',
help='dropout probability after ReLU in FFN')
- parser.add_argument('--input-dropout', type=float, metavar='D',
+ parser.add_argument('--input-dropout', type=float, metavar='XXDXX',
help='dropout probability of the inputs')
parser.add_argument('--encoder-embed-path', type=str, metavar='STR',
help='path to pre-trained encoder embedding')
Mutant 2503
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -88,7 +88,7 @@
parser.add_argument('--relu-dropout', type=float, metavar='D',
help='dropout probability after ReLU in FFN')
parser.add_argument('--input-dropout', type=float, metavar='D',
- help='dropout probability of the inputs')
+ help='XXdropout probability of the inputsXX')
parser.add_argument('--encoder-embed-path', type=str, metavar='STR',
help='path to pre-trained encoder embedding')
parser.add_argument('--encoder-embed-dim', type=int, metavar='N',
Mutant 2504
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -89,7 +89,7 @@
help='dropout probability after ReLU in FFN')
parser.add_argument('--input-dropout', type=float, metavar='D',
help='dropout probability of the inputs')
- parser.add_argument('--encoder-embed-path', type=str, metavar='STR',
+ parser.add_argument('XX--encoder-embed-pathXX', type=str, metavar='STR',
help='path to pre-trained encoder embedding')
parser.add_argument('--encoder-embed-dim', type=int, metavar='N',
help='encoder embedding dimension')
Mutant 2505
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -89,7 +89,7 @@
help='dropout probability after ReLU in FFN')
parser.add_argument('--input-dropout', type=float, metavar='D',
help='dropout probability of the inputs')
- parser.add_argument('--encoder-embed-path', type=str, metavar='STR',
+ parser.add_argument('--encoder-embed-path', type=str, metavar='XXSTRXX',
help='path to pre-trained encoder embedding')
parser.add_argument('--encoder-embed-dim', type=int, metavar='N',
help='encoder embedding dimension')
Mutant 2506
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -90,7 +90,7 @@
parser.add_argument('--input-dropout', type=float, metavar='D',
help='dropout probability of the inputs')
parser.add_argument('--encoder-embed-path', type=str, metavar='STR',
- help='path to pre-trained encoder embedding')
+ help='XXpath to pre-trained encoder embeddingXX')
parser.add_argument('--encoder-embed-dim', type=int, metavar='N',
help='encoder embedding dimension')
parser.add_argument('--encoder-conv-dim', type=int, metavar='N',
Mutant 2507
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -91,7 +91,7 @@
help='dropout probability of the inputs')
parser.add_argument('--encoder-embed-path', type=str, metavar='STR',
help='path to pre-trained encoder embedding')
- parser.add_argument('--encoder-embed-dim', type=int, metavar='N',
+ parser.add_argument('XX--encoder-embed-dimXX', type=int, metavar='N',
help='encoder embedding dimension')
parser.add_argument('--encoder-conv-dim', type=int, metavar='N',
help='encoder embedding dimension')
Mutant 2508
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -91,7 +91,7 @@
help='dropout probability of the inputs')
parser.add_argument('--encoder-embed-path', type=str, metavar='STR',
help='path to pre-trained encoder embedding')
- parser.add_argument('--encoder-embed-dim', type=int, metavar='N',
+ parser.add_argument('--encoder-embed-dim', type=int, metavar='XXNXX',
help='encoder embedding dimension')
parser.add_argument('--encoder-conv-dim', type=int, metavar='N',
help='encoder embedding dimension')
Mutant 2509
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -92,7 +92,7 @@
parser.add_argument('--encoder-embed-path', type=str, metavar='STR',
help='path to pre-trained encoder embedding')
parser.add_argument('--encoder-embed-dim', type=int, metavar='N',
- help='encoder embedding dimension')
+ help='XXencoder embedding dimensionXX')
parser.add_argument('--encoder-conv-dim', type=int, metavar='N',
help='encoder embedding dimension')
parser.add_argument('--encoder-ffn-embed-dim', type=int, metavar='N',
Mutant 2510
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -93,7 +93,7 @@
help='path to pre-trained encoder embedding')
parser.add_argument('--encoder-embed-dim', type=int, metavar='N',
help='encoder embedding dimension')
- parser.add_argument('--encoder-conv-dim', type=int, metavar='N',
+ parser.add_argument('XX--encoder-conv-dimXX', type=int, metavar='N',
help='encoder embedding dimension')
parser.add_argument('--encoder-ffn-embed-dim', type=int, metavar='N',
help='encoder embedding dimension for FFN')
Mutant 2511
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -93,7 +93,7 @@
help='path to pre-trained encoder embedding')
parser.add_argument('--encoder-embed-dim', type=int, metavar='N',
help='encoder embedding dimension')
- parser.add_argument('--encoder-conv-dim', type=int, metavar='N',
+ parser.add_argument('--encoder-conv-dim', type=int, metavar='XXNXX',
help='encoder embedding dimension')
parser.add_argument('--encoder-ffn-embed-dim', type=int, metavar='N',
help='encoder embedding dimension for FFN')
Mutant 2512
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -94,7 +94,7 @@
parser.add_argument('--encoder-embed-dim', type=int, metavar='N',
help='encoder embedding dimension')
parser.add_argument('--encoder-conv-dim', type=int, metavar='N',
- help='encoder embedding dimension')
+ help='XXencoder embedding dimensionXX')
parser.add_argument('--encoder-ffn-embed-dim', type=int, metavar='N',
help='encoder embedding dimension for FFN')
parser.add_argument('--encoder-layers', type=int, metavar='N',
Mutant 2513
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -95,7 +95,7 @@
help='encoder embedding dimension')
parser.add_argument('--encoder-conv-dim', type=int, metavar='N',
help='encoder embedding dimension')
- parser.add_argument('--encoder-ffn-embed-dim', type=int, metavar='N',
+ parser.add_argument('XX--encoder-ffn-embed-dimXX', type=int, metavar='N',
help='encoder embedding dimension for FFN')
parser.add_argument('--encoder-layers', type=int, metavar='N',
help='num encoder layers')
Mutant 2514
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -95,7 +95,7 @@
help='encoder embedding dimension')
parser.add_argument('--encoder-conv-dim', type=int, metavar='N',
help='encoder embedding dimension')
- parser.add_argument('--encoder-ffn-embed-dim', type=int, metavar='N',
+ parser.add_argument('--encoder-ffn-embed-dim', type=int, metavar='XXNXX',
help='encoder embedding dimension for FFN')
parser.add_argument('--encoder-layers', type=int, metavar='N',
help='num encoder layers')
Mutant 2515
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -96,7 +96,7 @@
parser.add_argument('--encoder-conv-dim', type=int, metavar='N',
help='encoder embedding dimension')
parser.add_argument('--encoder-ffn-embed-dim', type=int, metavar='N',
- help='encoder embedding dimension for FFN')
+ help='XXencoder embedding dimension for FFNXX')
parser.add_argument('--encoder-layers', type=int, metavar='N',
help='num encoder layers')
parser.add_argument('--encoder-attention-heads', type=int, metavar='N',
Mutant 2516
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -97,7 +97,7 @@
help='encoder embedding dimension')
parser.add_argument('--encoder-ffn-embed-dim', type=int, metavar='N',
help='encoder embedding dimension for FFN')
- parser.add_argument('--encoder-layers', type=int, metavar='N',
+ parser.add_argument('XX--encoder-layersXX', type=int, metavar='N',
help='num encoder layers')
parser.add_argument('--encoder-attention-heads', type=int, metavar='N',
help='num encoder attention heads or LightConv/DynamicConv heads')
Mutant 2517
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -97,7 +97,7 @@
help='encoder embedding dimension')
parser.add_argument('--encoder-ffn-embed-dim', type=int, metavar='N',
help='encoder embedding dimension for FFN')
- parser.add_argument('--encoder-layers', type=int, metavar='N',
+ parser.add_argument('--encoder-layers', type=int, metavar='XXNXX',
help='num encoder layers')
parser.add_argument('--encoder-attention-heads', type=int, metavar='N',
help='num encoder attention heads or LightConv/DynamicConv heads')
Mutant 2518
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -98,7 +98,7 @@
parser.add_argument('--encoder-ffn-embed-dim', type=int, metavar='N',
help='encoder embedding dimension for FFN')
parser.add_argument('--encoder-layers', type=int, metavar='N',
- help='num encoder layers')
+ help='XXnum encoder layersXX')
parser.add_argument('--encoder-attention-heads', type=int, metavar='N',
help='num encoder attention heads or LightConv/DynamicConv heads')
parser.add_argument('--encoder-normalize-before', action='store_true',
Mutant 2519
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -99,7 +99,7 @@
help='encoder embedding dimension for FFN')
parser.add_argument('--encoder-layers', type=int, metavar='N',
help='num encoder layers')
- parser.add_argument('--encoder-attention-heads', type=int, metavar='N',
+ parser.add_argument('XX--encoder-attention-headsXX', type=int, metavar='N',
help='num encoder attention heads or LightConv/DynamicConv heads')
parser.add_argument('--encoder-normalize-before', action='store_true',
help='apply layernorm before each encoder block')
Mutant 2520
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -99,7 +99,7 @@
help='encoder embedding dimension for FFN')
parser.add_argument('--encoder-layers', type=int, metavar='N',
help='num encoder layers')
- parser.add_argument('--encoder-attention-heads', type=int, metavar='N',
+ parser.add_argument('--encoder-attention-heads', type=int, metavar='XXNXX',
help='num encoder attention heads or LightConv/DynamicConv heads')
parser.add_argument('--encoder-normalize-before', action='store_true',
help='apply layernorm before each encoder block')
Mutant 2521
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -100,7 +100,7 @@
parser.add_argument('--encoder-layers', type=int, metavar='N',
help='num encoder layers')
parser.add_argument('--encoder-attention-heads', type=int, metavar='N',
- help='num encoder attention heads or LightConv/DynamicConv heads')
+ help='XXnum encoder attention heads or LightConv/DynamicConv headsXX')
parser.add_argument('--encoder-normalize-before', action='store_true',
help='apply layernorm before each encoder block')
parser.add_argument('--encoder-learned-pos', action='store_true',
Mutant 2522
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -101,7 +101,7 @@
help='num encoder layers')
parser.add_argument('--encoder-attention-heads', type=int, metavar='N',
help='num encoder attention heads or LightConv/DynamicConv heads')
- parser.add_argument('--encoder-normalize-before', action='store_true',
+ parser.add_argument('XX--encoder-normalize-beforeXX', action='store_true',
help='apply layernorm before each encoder block')
parser.add_argument('--encoder-learned-pos', action='store_true',
help='use learned positional embeddings in the encoder')
Mutant 2524
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -102,7 +102,7 @@
parser.add_argument('--encoder-attention-heads', type=int, metavar='N',
help='num encoder attention heads or LightConv/DynamicConv heads')
parser.add_argument('--encoder-normalize-before', action='store_true',
- help='apply layernorm before each encoder block')
+ help='XXapply layernorm before each encoder blockXX')
parser.add_argument('--encoder-learned-pos', action='store_true',
help='use learned positional embeddings in the encoder')
parser.add_argument('--decoder-embed-path', type=str, metavar='STR',
Mutant 2525
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -103,7 +103,7 @@
help='num encoder attention heads or LightConv/DynamicConv heads')
parser.add_argument('--encoder-normalize-before', action='store_true',
help='apply layernorm before each encoder block')
- parser.add_argument('--encoder-learned-pos', action='store_true',
+ parser.add_argument('XX--encoder-learned-posXX', action='store_true',
help='use learned positional embeddings in the encoder')
parser.add_argument('--decoder-embed-path', type=str, metavar='STR',
help='path to pre-trained decoder embedding')
Mutant 2527
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -104,7 +104,7 @@
parser.add_argument('--encoder-normalize-before', action='store_true',
help='apply layernorm before each encoder block')
parser.add_argument('--encoder-learned-pos', action='store_true',
- help='use learned positional embeddings in the encoder')
+ help='XXuse learned positional embeddings in the encoderXX')
parser.add_argument('--decoder-embed-path', type=str, metavar='STR',
help='path to pre-trained decoder embedding')
parser.add_argument('--decoder-embed-dim', type=int, metavar='N',
Mutant 2528
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -105,7 +105,7 @@
help='apply layernorm before each encoder block')
parser.add_argument('--encoder-learned-pos', action='store_true',
help='use learned positional embeddings in the encoder')
- parser.add_argument('--decoder-embed-path', type=str, metavar='STR',
+ parser.add_argument('XX--decoder-embed-pathXX', type=str, metavar='STR',
help='path to pre-trained decoder embedding')
parser.add_argument('--decoder-embed-dim', type=int, metavar='N',
help='decoder embedding dimension')
Mutant 2529
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -105,7 +105,7 @@
help='apply layernorm before each encoder block')
parser.add_argument('--encoder-learned-pos', action='store_true',
help='use learned positional embeddings in the encoder')
- parser.add_argument('--decoder-embed-path', type=str, metavar='STR',
+ parser.add_argument('--decoder-embed-path', type=str, metavar='XXSTRXX',
help='path to pre-trained decoder embedding')
parser.add_argument('--decoder-embed-dim', type=int, metavar='N',
help='decoder embedding dimension')
Mutant 2530
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -106,7 +106,7 @@
parser.add_argument('--encoder-learned-pos', action='store_true',
help='use learned positional embeddings in the encoder')
parser.add_argument('--decoder-embed-path', type=str, metavar='STR',
- help='path to pre-trained decoder embedding')
+ help='XXpath to pre-trained decoder embeddingXX')
parser.add_argument('--decoder-embed-dim', type=int, metavar='N',
help='decoder embedding dimension')
parser.add_argument('--decoder-conv-dim', type=int, metavar='N',
Mutant 2531
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -107,7 +107,7 @@
help='use learned positional embeddings in the encoder')
parser.add_argument('--decoder-embed-path', type=str, metavar='STR',
help='path to pre-trained decoder embedding')
- parser.add_argument('--decoder-embed-dim', type=int, metavar='N',
+ parser.add_argument('XX--decoder-embed-dimXX', type=int, metavar='N',
help='decoder embedding dimension')
parser.add_argument('--decoder-conv-dim', type=int, metavar='N',
help='decoder embedding dimension')
Mutant 2532
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -107,7 +107,7 @@
help='use learned positional embeddings in the encoder')
parser.add_argument('--decoder-embed-path', type=str, metavar='STR',
help='path to pre-trained decoder embedding')
- parser.add_argument('--decoder-embed-dim', type=int, metavar='N',
+ parser.add_argument('--decoder-embed-dim', type=int, metavar='XXNXX',
help='decoder embedding dimension')
parser.add_argument('--decoder-conv-dim', type=int, metavar='N',
help='decoder embedding dimension')
Mutant 2533
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -108,7 +108,7 @@
parser.add_argument('--decoder-embed-path', type=str, metavar='STR',
help='path to pre-trained decoder embedding')
parser.add_argument('--decoder-embed-dim', type=int, metavar='N',
- help='decoder embedding dimension')
+ help='XXdecoder embedding dimensionXX')
parser.add_argument('--decoder-conv-dim', type=int, metavar='N',
help='decoder embedding dimension')
parser.add_argument('--decoder-ffn-embed-dim', type=int, metavar='N',
Mutant 2534
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -109,7 +109,7 @@
help='path to pre-trained decoder embedding')
parser.add_argument('--decoder-embed-dim', type=int, metavar='N',
help='decoder embedding dimension')
- parser.add_argument('--decoder-conv-dim', type=int, metavar='N',
+ parser.add_argument('XX--decoder-conv-dimXX', type=int, metavar='N',
help='decoder embedding dimension')
parser.add_argument('--decoder-ffn-embed-dim', type=int, metavar='N',
help='decoder embedding dimension for FFN')
Mutant 2535
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -109,7 +109,7 @@
help='path to pre-trained decoder embedding')
parser.add_argument('--decoder-embed-dim', type=int, metavar='N',
help='decoder embedding dimension')
- parser.add_argument('--decoder-conv-dim', type=int, metavar='N',
+ parser.add_argument('--decoder-conv-dim', type=int, metavar='XXNXX',
help='decoder embedding dimension')
parser.add_argument('--decoder-ffn-embed-dim', type=int, metavar='N',
help='decoder embedding dimension for FFN')
Mutant 2536
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -110,7 +110,7 @@
parser.add_argument('--decoder-embed-dim', type=int, metavar='N',
help='decoder embedding dimension')
parser.add_argument('--decoder-conv-dim', type=int, metavar='N',
- help='decoder embedding dimension')
+ help='XXdecoder embedding dimensionXX')
parser.add_argument('--decoder-ffn-embed-dim', type=int, metavar='N',
help='decoder embedding dimension for FFN')
parser.add_argument('--decoder-layers', type=int, metavar='N',
Mutant 2537
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -111,7 +111,7 @@
help='decoder embedding dimension')
parser.add_argument('--decoder-conv-dim', type=int, metavar='N',
help='decoder embedding dimension')
- parser.add_argument('--decoder-ffn-embed-dim', type=int, metavar='N',
+ parser.add_argument('XX--decoder-ffn-embed-dimXX', type=int, metavar='N',
help='decoder embedding dimension for FFN')
parser.add_argument('--decoder-layers', type=int, metavar='N',
help='num decoder layers')
Mutant 2538
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -111,7 +111,7 @@
help='decoder embedding dimension')
parser.add_argument('--decoder-conv-dim', type=int, metavar='N',
help='decoder embedding dimension')
- parser.add_argument('--decoder-ffn-embed-dim', type=int, metavar='N',
+ parser.add_argument('--decoder-ffn-embed-dim', type=int, metavar='XXNXX',
help='decoder embedding dimension for FFN')
parser.add_argument('--decoder-layers', type=int, metavar='N',
help='num decoder layers')
Mutant 2539
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -112,7 +112,7 @@
parser.add_argument('--decoder-conv-dim', type=int, metavar='N',
help='decoder embedding dimension')
parser.add_argument('--decoder-ffn-embed-dim', type=int, metavar='N',
- help='decoder embedding dimension for FFN')
+ help='XXdecoder embedding dimension for FFNXX')
parser.add_argument('--decoder-layers', type=int, metavar='N',
help='num decoder layers')
parser.add_argument('--decoder-attention-heads', type=int, metavar='N',
Mutant 2540
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -113,7 +113,7 @@
help='decoder embedding dimension')
parser.add_argument('--decoder-ffn-embed-dim', type=int, metavar='N',
help='decoder embedding dimension for FFN')
- parser.add_argument('--decoder-layers', type=int, metavar='N',
+ parser.add_argument('XX--decoder-layersXX', type=int, metavar='N',
help='num decoder layers')
parser.add_argument('--decoder-attention-heads', type=int, metavar='N',
help='num decoder attention heads or LightConv/DynamicConv heads')
Mutant 2541
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -113,7 +113,7 @@
help='decoder embedding dimension')
parser.add_argument('--decoder-ffn-embed-dim', type=int, metavar='N',
help='decoder embedding dimension for FFN')
- parser.add_argument('--decoder-layers', type=int, metavar='N',
+ parser.add_argument('--decoder-layers', type=int, metavar='XXNXX',
help='num decoder layers')
parser.add_argument('--decoder-attention-heads', type=int, metavar='N',
help='num decoder attention heads or LightConv/DynamicConv heads')
Mutant 2542
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -114,7 +114,7 @@
parser.add_argument('--decoder-ffn-embed-dim', type=int, metavar='N',
help='decoder embedding dimension for FFN')
parser.add_argument('--decoder-layers', type=int, metavar='N',
- help='num decoder layers')
+ help='XXnum decoder layersXX')
parser.add_argument('--decoder-attention-heads', type=int, metavar='N',
help='num decoder attention heads or LightConv/DynamicConv heads')
parser.add_argument('--decoder-learned-pos', action='store_true',
Mutant 2543
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -115,7 +115,7 @@
help='decoder embedding dimension for FFN')
parser.add_argument('--decoder-layers', type=int, metavar='N',
help='num decoder layers')
- parser.add_argument('--decoder-attention-heads', type=int, metavar='N',
+ parser.add_argument('XX--decoder-attention-headsXX', type=int, metavar='N',
help='num decoder attention heads or LightConv/DynamicConv heads')
parser.add_argument('--decoder-learned-pos', action='store_true',
help='use learned positional embeddings in the decoder')
Mutant 2544
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -115,7 +115,7 @@
help='decoder embedding dimension for FFN')
parser.add_argument('--decoder-layers', type=int, metavar='N',
help='num decoder layers')
- parser.add_argument('--decoder-attention-heads', type=int, metavar='N',
+ parser.add_argument('--decoder-attention-heads', type=int, metavar='XXNXX',
help='num decoder attention heads or LightConv/DynamicConv heads')
parser.add_argument('--decoder-learned-pos', action='store_true',
help='use learned positional embeddings in the decoder')
Mutant 2545
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -116,7 +116,7 @@
parser.add_argument('--decoder-layers', type=int, metavar='N',
help='num decoder layers')
parser.add_argument('--decoder-attention-heads', type=int, metavar='N',
- help='num decoder attention heads or LightConv/DynamicConv heads')
+ help='XXnum decoder attention heads or LightConv/DynamicConv headsXX')
parser.add_argument('--decoder-learned-pos', action='store_true',
help='use learned positional embeddings in the decoder')
parser.add_argument('--decoder-normalize-before', action='store_true',
Mutant 2546
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -117,7 +117,7 @@
help='num decoder layers')
parser.add_argument('--decoder-attention-heads', type=int, metavar='N',
help='num decoder attention heads or LightConv/DynamicConv heads')
- parser.add_argument('--decoder-learned-pos', action='store_true',
+ parser.add_argument('XX--decoder-learned-posXX', action='store_true',
help='use learned positional embeddings in the decoder')
parser.add_argument('--decoder-normalize-before', action='store_true',
help='apply layernorm before each decoder block')
Mutant 2548
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -118,7 +118,7 @@
parser.add_argument('--decoder-attention-heads', type=int, metavar='N',
help='num decoder attention heads or LightConv/DynamicConv heads')
parser.add_argument('--decoder-learned-pos', action='store_true',
- help='use learned positional embeddings in the decoder')
+ help='XXuse learned positional embeddings in the decoderXX')
parser.add_argument('--decoder-normalize-before', action='store_true',
help='apply layernorm before each decoder block')
parser.add_argument('--share-decoder-input-output-embed', action='store_true',
Mutant 2549
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -119,7 +119,7 @@
help='num decoder attention heads or LightConv/DynamicConv heads')
parser.add_argument('--decoder-learned-pos', action='store_true',
help='use learned positional embeddings in the decoder')
- parser.add_argument('--decoder-normalize-before', action='store_true',
+ parser.add_argument('XX--decoder-normalize-beforeXX', action='store_true',
help='apply layernorm before each decoder block')
parser.add_argument('--share-decoder-input-output-embed', action='store_true',
help='share decoder input and output embeddings')
Mutant 2551
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -120,7 +120,7 @@
parser.add_argument('--decoder-learned-pos', action='store_true',
help='use learned positional embeddings in the decoder')
parser.add_argument('--decoder-normalize-before', action='store_true',
- help='apply layernorm before each decoder block')
+ help='XXapply layernorm before each decoder blockXX')
parser.add_argument('--share-decoder-input-output-embed', action='store_true',
help='share decoder input and output embeddings')
parser.add_argument('--share-all-embeddings', action='store_true',
Mutant 2552
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -121,7 +121,7 @@
help='use learned positional embeddings in the decoder')
parser.add_argument('--decoder-normalize-before', action='store_true',
help='apply layernorm before each decoder block')
- parser.add_argument('--share-decoder-input-output-embed', action='store_true',
+ parser.add_argument('XX--share-decoder-input-output-embedXX', action='store_true',
help='share decoder input and output embeddings')
parser.add_argument('--share-all-embeddings', action='store_true',
help='share encoder, decoder and output embeddings'
Mutant 2554
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -122,7 +122,7 @@
parser.add_argument('--decoder-normalize-before', action='store_true',
help='apply layernorm before each decoder block')
parser.add_argument('--share-decoder-input-output-embed', action='store_true',
- help='share decoder input and output embeddings')
+ help='XXshare decoder input and output embeddingsXX')
parser.add_argument('--share-all-embeddings', action='store_true',
help='share encoder, decoder and output embeddings'
' (requires shared dictionary and embed dim)')
Mutant 2555
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -123,7 +123,7 @@
help='apply layernorm before each decoder block')
parser.add_argument('--share-decoder-input-output-embed', action='store_true',
help='share decoder input and output embeddings')
- parser.add_argument('--share-all-embeddings', action='store_true',
+ parser.add_argument('XX--share-all-embeddingsXX', action='store_true',
help='share encoder, decoder and output embeddings'
' (requires shared dictionary and embed dim)')
parser.add_argument('--adaptive-softmax-cutoff', metavar='EXPR',
Mutant 2557
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -124,7 +124,7 @@
parser.add_argument('--share-decoder-input-output-embed', action='store_true',
help='share decoder input and output embeddings')
parser.add_argument('--share-all-embeddings', action='store_true',
- help='share encoder, decoder and output embeddings'
+ help='XXshare encoder, decoder and output embeddingsXX'
' (requires shared dictionary and embed dim)')
parser.add_argument('--adaptive-softmax-cutoff', metavar='EXPR',
help='comma separated list of adaptive softmax cutoff points. '
Mutant 2558
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -126,7 +126,7 @@
parser.add_argument('--share-all-embeddings', action='store_true',
help='share encoder, decoder and output embeddings'
' (requires shared dictionary and embed dim)')
- parser.add_argument('--adaptive-softmax-cutoff', metavar='EXPR',
+ parser.add_argument('XX--adaptive-softmax-cutoffXX', metavar='EXPR',
help='comma separated list of adaptive softmax cutoff points. '
'Must be used with adaptive_loss criterion'),
parser.add_argument('--adaptive-softmax-dropout', type=float, metavar='D',
Mutant 2559
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -126,7 +126,7 @@
parser.add_argument('--share-all-embeddings', action='store_true',
help='share encoder, decoder and output embeddings'
' (requires shared dictionary and embed dim)')
- parser.add_argument('--adaptive-softmax-cutoff', metavar='EXPR',
+ parser.add_argument('--adaptive-softmax-cutoff', metavar='XXEXPRXX',
help='comma separated list of adaptive softmax cutoff points. '
'Must be used with adaptive_loss criterion'),
parser.add_argument('--adaptive-softmax-dropout', type=float, metavar='D',
Mutant 2560
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -127,7 +127,7 @@
help='share encoder, decoder and output embeddings'
' (requires shared dictionary and embed dim)')
parser.add_argument('--adaptive-softmax-cutoff', metavar='EXPR',
- help='comma separated list of adaptive softmax cutoff points. '
+ help='XXcomma separated list of adaptive softmax cutoff points. XX'
'Must be used with adaptive_loss criterion'),
parser.add_argument('--adaptive-softmax-dropout', type=float, metavar='D',
help='sets adaptive softmax dropout for the tail projections')
Mutant 2561
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -129,7 +129,7 @@
parser.add_argument('--adaptive-softmax-cutoff', metavar='EXPR',
help='comma separated list of adaptive softmax cutoff points. '
'Must be used with adaptive_loss criterion'),
- parser.add_argument('--adaptive-softmax-dropout', type=float, metavar='D',
+ parser.add_argument('XX--adaptive-softmax-dropoutXX', type=float, metavar='D',
help='sets adaptive softmax dropout for the tail projections')
"""LightConv and DynamicConv arguments"""
Mutant 2562
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -129,7 +129,7 @@
parser.add_argument('--adaptive-softmax-cutoff', metavar='EXPR',
help='comma separated list of adaptive softmax cutoff points. '
'Must be used with adaptive_loss criterion'),
- parser.add_argument('--adaptive-softmax-dropout', type=float, metavar='D',
+ parser.add_argument('--adaptive-softmax-dropout', type=float, metavar='XXDXX',
help='sets adaptive softmax dropout for the tail projections')
"""LightConv and DynamicConv arguments"""
Mutant 2563
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -130,7 +130,7 @@
help='comma separated list of adaptive softmax cutoff points. '
'Must be used with adaptive_loss criterion'),
parser.add_argument('--adaptive-softmax-dropout', type=float, metavar='D',
- help='sets adaptive softmax dropout for the tail projections')
+ help='XXsets adaptive softmax dropout for the tail projectionsXX')
"""LightConv and DynamicConv arguments"""
parser.add_argument('--encoder-kernel-size-list', type=lambda x: options.eval_str_list(x, int),
Mutant 2564
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -133,7 +133,7 @@
help='sets adaptive softmax dropout for the tail projections')
"""LightConv and DynamicConv arguments"""
- parser.add_argument('--encoder-kernel-size-list', type=lambda x: options.eval_str_list(x, int),
+ parser.add_argument('XX--encoder-kernel-size-listXX', type=lambda x: options.eval_str_list(x, int),
help='list of kernel size (default: "[3,7,15,31,31,31,31]")')
parser.add_argument('--decoder-kernel-size-list', type=lambda x: options.eval_str_list(x, int),
help='list of kernel size (default: "[3,7,15,31,31,31]")')
Mutant 2565
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -133,7 +133,7 @@
help='sets adaptive softmax dropout for the tail projections')
"""LightConv and DynamicConv arguments"""
- parser.add_argument('--encoder-kernel-size-list', type=lambda x: options.eval_str_list(x, int),
+ parser.add_argument('--encoder-kernel-size-list', type=lambda x: None,
help='list of kernel size (default: "[3,7,15,31,31,31,31]")')
parser.add_argument('--decoder-kernel-size-list', type=lambda x: options.eval_str_list(x, int),
help='list of kernel size (default: "[3,7,15,31,31,31]")')
Mutant 2566
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -134,7 +134,7 @@
"""LightConv and DynamicConv arguments"""
parser.add_argument('--encoder-kernel-size-list', type=lambda x: options.eval_str_list(x, int),
- help='list of kernel size (default: "[3,7,15,31,31,31,31]")')
+ help='XXlist of kernel size (default: "[3,7,15,31,31,31,31]")XX')
parser.add_argument('--decoder-kernel-size-list', type=lambda x: options.eval_str_list(x, int),
help='list of kernel size (default: "[3,7,15,31,31,31]")')
parser.add_argument('--encoder-glu', type=options.eval_bool,
Mutant 2567
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -135,7 +135,7 @@
"""LightConv and DynamicConv arguments"""
parser.add_argument('--encoder-kernel-size-list', type=lambda x: options.eval_str_list(x, int),
help='list of kernel size (default: "[3,7,15,31,31,31,31]")')
- parser.add_argument('--decoder-kernel-size-list', type=lambda x: options.eval_str_list(x, int),
+ parser.add_argument('XX--decoder-kernel-size-listXX', type=lambda x: options.eval_str_list(x, int),
help='list of kernel size (default: "[3,7,15,31,31,31]")')
parser.add_argument('--encoder-glu', type=options.eval_bool,
help='glu after in proj')
Mutant 2568
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -135,7 +135,7 @@
"""LightConv and DynamicConv arguments"""
parser.add_argument('--encoder-kernel-size-list', type=lambda x: options.eval_str_list(x, int),
help='list of kernel size (default: "[3,7,15,31,31,31,31]")')
- parser.add_argument('--decoder-kernel-size-list', type=lambda x: options.eval_str_list(x, int),
+ parser.add_argument('--decoder-kernel-size-list', type=lambda x: None,
help='list of kernel size (default: "[3,7,15,31,31,31]")')
parser.add_argument('--encoder-glu', type=options.eval_bool,
help='glu after in proj')
Mutant 2569
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -136,7 +136,7 @@
parser.add_argument('--encoder-kernel-size-list', type=lambda x: options.eval_str_list(x, int),
help='list of kernel size (default: "[3,7,15,31,31,31,31]")')
parser.add_argument('--decoder-kernel-size-list', type=lambda x: options.eval_str_list(x, int),
- help='list of kernel size (default: "[3,7,15,31,31,31]")')
+ help='XXlist of kernel size (default: "[3,7,15,31,31,31]")XX')
parser.add_argument('--encoder-glu', type=options.eval_bool,
help='glu after in proj')
parser.add_argument('--decoder-glu', type=options.eval_bool,
Mutant 2570
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -137,7 +137,7 @@
help='list of kernel size (default: "[3,7,15,31,31,31,31]")')
parser.add_argument('--decoder-kernel-size-list', type=lambda x: options.eval_str_list(x, int),
help='list of kernel size (default: "[3,7,15,31,31,31]")')
- parser.add_argument('--encoder-glu', type=options.eval_bool,
+ parser.add_argument('XX--encoder-gluXX', type=options.eval_bool,
help='glu after in proj')
parser.add_argument('--decoder-glu', type=options.eval_bool,
help='glu after in proj')
Mutant 2571
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -138,7 +138,7 @@
parser.add_argument('--decoder-kernel-size-list', type=lambda x: options.eval_str_list(x, int),
help='list of kernel size (default: "[3,7,15,31,31,31]")')
parser.add_argument('--encoder-glu', type=options.eval_bool,
- help='glu after in proj')
+ help='XXglu after in projXX')
parser.add_argument('--decoder-glu', type=options.eval_bool,
help='glu after in proj')
parser.add_argument('--encoder-conv-type', default='dynamic', type=str,
Mutant 2572
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -139,7 +139,7 @@
help='list of kernel size (default: "[3,7,15,31,31,31]")')
parser.add_argument('--encoder-glu', type=options.eval_bool,
help='glu after in proj')
- parser.add_argument('--decoder-glu', type=options.eval_bool,
+ parser.add_argument('XX--decoder-gluXX', type=options.eval_bool,
help='glu after in proj')
parser.add_argument('--encoder-conv-type', default='dynamic', type=str,
choices=['dynamic', 'lightweight'],
Mutant 2573
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -140,7 +140,7 @@
parser.add_argument('--encoder-glu', type=options.eval_bool,
help='glu after in proj')
parser.add_argument('--decoder-glu', type=options.eval_bool,
- help='glu after in proj')
+ help='XXglu after in projXX')
parser.add_argument('--encoder-conv-type', default='dynamic', type=str,
choices=['dynamic', 'lightweight'],
help='type of convolution')
Mutant 2574
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -141,7 +141,7 @@
help='glu after in proj')
parser.add_argument('--decoder-glu', type=options.eval_bool,
help='glu after in proj')
- parser.add_argument('--encoder-conv-type', default='dynamic', type=str,
+ parser.add_argument('XX--encoder-conv-typeXX', default='dynamic', type=str,
choices=['dynamic', 'lightweight'],
help='type of convolution')
parser.add_argument('--decoder-conv-type', default='dynamic', type=str,
Mutant 2575
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -141,7 +141,7 @@
help='glu after in proj')
parser.add_argument('--decoder-glu', type=options.eval_bool,
help='glu after in proj')
- parser.add_argument('--encoder-conv-type', default='dynamic', type=str,
+ parser.add_argument('--encoder-conv-type', default='XXdynamicXX', type=str,
choices=['dynamic', 'lightweight'],
help='type of convolution')
parser.add_argument('--decoder-conv-type', default='dynamic', type=str,
Mutant 2576
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -142,7 +142,7 @@
parser.add_argument('--decoder-glu', type=options.eval_bool,
help='glu after in proj')
parser.add_argument('--encoder-conv-type', default='dynamic', type=str,
- choices=['dynamic', 'lightweight'],
+ choices=['XXdynamicXX', 'lightweight'],
help='type of convolution')
parser.add_argument('--decoder-conv-type', default='dynamic', type=str,
choices=['dynamic', 'lightweight'],
Mutant 2577
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -142,7 +142,7 @@
parser.add_argument('--decoder-glu', type=options.eval_bool,
help='glu after in proj')
parser.add_argument('--encoder-conv-type', default='dynamic', type=str,
- choices=['dynamic', 'lightweight'],
+ choices=['dynamic', 'XXlightweightXX'],
help='type of convolution')
parser.add_argument('--decoder-conv-type', default='dynamic', type=str,
choices=['dynamic', 'lightweight'],
Mutant 2578
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -143,7 +143,7 @@
help='glu after in proj')
parser.add_argument('--encoder-conv-type', default='dynamic', type=str,
choices=['dynamic', 'lightweight'],
- help='type of convolution')
+ help='XXtype of convolutionXX')
parser.add_argument('--decoder-conv-type', default='dynamic', type=str,
choices=['dynamic', 'lightweight'],
help='type of convolution')
Mutant 2579
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -144,7 +144,7 @@
parser.add_argument('--encoder-conv-type', default='dynamic', type=str,
choices=['dynamic', 'lightweight'],
help='type of convolution')
- parser.add_argument('--decoder-conv-type', default='dynamic', type=str,
+ parser.add_argument('XX--decoder-conv-typeXX', default='dynamic', type=str,
choices=['dynamic', 'lightweight'],
help='type of convolution')
parser.add_argument('--weight-softmax', default=True, type=options.eval_bool)
Mutant 2580
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -144,7 +144,7 @@
parser.add_argument('--encoder-conv-type', default='dynamic', type=str,
choices=['dynamic', 'lightweight'],
help='type of convolution')
- parser.add_argument('--decoder-conv-type', default='dynamic', type=str,
+ parser.add_argument('--decoder-conv-type', default='XXdynamicXX', type=str,
choices=['dynamic', 'lightweight'],
help='type of convolution')
parser.add_argument('--weight-softmax', default=True, type=options.eval_bool)
Mutant 2581
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -145,7 +145,7 @@
choices=['dynamic', 'lightweight'],
help='type of convolution')
parser.add_argument('--decoder-conv-type', default='dynamic', type=str,
- choices=['dynamic', 'lightweight'],
+ choices=['XXdynamicXX', 'lightweight'],
help='type of convolution')
parser.add_argument('--weight-softmax', default=True, type=options.eval_bool)
parser.add_argument('--weight-dropout', type=float, metavar='D',
Mutant 2582
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -145,7 +145,7 @@
choices=['dynamic', 'lightweight'],
help='type of convolution')
parser.add_argument('--decoder-conv-type', default='dynamic', type=str,
- choices=['dynamic', 'lightweight'],
+ choices=['dynamic', 'XXlightweightXX'],
help='type of convolution')
parser.add_argument('--weight-softmax', default=True, type=options.eval_bool)
parser.add_argument('--weight-dropout', type=float, metavar='D',
Mutant 2583
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -146,7 +146,7 @@
help='type of convolution')
parser.add_argument('--decoder-conv-type', default='dynamic', type=str,
choices=['dynamic', 'lightweight'],
- help='type of convolution')
+ help='XXtype of convolutionXX')
parser.add_argument('--weight-softmax', default=True, type=options.eval_bool)
parser.add_argument('--weight-dropout', type=float, metavar='D',
help='dropout probability for conv weights')
Mutant 2584
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -147,7 +147,7 @@
parser.add_argument('--decoder-conv-type', default='dynamic', type=str,
choices=['dynamic', 'lightweight'],
help='type of convolution')
- parser.add_argument('--weight-softmax', default=True, type=options.eval_bool)
+ parser.add_argument('XX--weight-softmaxXX', default=True, type=options.eval_bool)
parser.add_argument('--weight-dropout', type=float, metavar='D',
help='dropout probability for conv weights')
Mutant 2585
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -147,7 +147,7 @@
parser.add_argument('--decoder-conv-type', default='dynamic', type=str,
choices=['dynamic', 'lightweight'],
help='type of convolution')
- parser.add_argument('--weight-softmax', default=True, type=options.eval_bool)
+ parser.add_argument('--weight-softmax', default=False, type=options.eval_bool)
parser.add_argument('--weight-dropout', type=float, metavar='D',
help='dropout probability for conv weights')
Mutant 2586
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -148,7 +148,7 @@
choices=['dynamic', 'lightweight'],
help='type of convolution')
parser.add_argument('--weight-softmax', default=True, type=options.eval_bool)
- parser.add_argument('--weight-dropout', type=float, metavar='D',
+ parser.add_argument('XX--weight-dropoutXX', type=float, metavar='D',
help='dropout probability for conv weights')
@classmethod
Mutant 2587
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -148,7 +148,7 @@
choices=['dynamic', 'lightweight'],
help='type of convolution')
parser.add_argument('--weight-softmax', default=True, type=options.eval_bool)
- parser.add_argument('--weight-dropout', type=float, metavar='D',
+ parser.add_argument('--weight-dropout', type=float, metavar='XXDXX',
help='dropout probability for conv weights')
@classmethod
Mutant 2588
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -149,7 +149,7 @@
help='type of convolution')
parser.add_argument('--weight-softmax', default=True, type=options.eval_bool)
parser.add_argument('--weight-dropout', type=float, metavar='D',
- help='dropout probability for conv weights')
+ help='XXdropout probability for conv weightsXX')
@classmethod
def build_model(cls, args, task):
Mutant 2589
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -151,7 +151,6 @@
parser.add_argument('--weight-dropout', type=float, metavar='D',
help='dropout probability for conv weights')
- @classmethod
def build_model(cls, args, task):
"""Build a new model instance."""
Mutant 2590
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -316,7 +316,7 @@
Default: ``False``
"""
- def __init__(self, args, dictionary, embed_tokens, no_encoder_attn=False, final_norm=True):
+ def __init__(self, args, dictionary, embed_tokens, no_encoder_attn=True, final_norm=True):
super().__init__(dictionary)
self.dropout_module = FairseqDropout(args.dropout, module_name=self.__class__.__name__)
self.share_input_output_embed = args.share_decoder_input_output_embed
Mutant 2591
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -316,7 +316,7 @@
Default: ``False``
"""
- def __init__(self, args, dictionary, embed_tokens, no_encoder_attn=False, final_norm=True):
+ def __init__(self, args, dictionary, embed_tokens, no_encoder_attn=False, final_norm=False):
super().__init__(dictionary)
self.dropout_module = FairseqDropout(args.dropout, module_name=self.__class__.__name__)
self.share_input_output_embed = args.share_decoder_input_output_embed
Mutant 2592
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -462,7 +462,7 @@
kernel_size: kernel size of the convolution
"""
- def __init__(self, args, kernel_size=0):
+ def __init__(self, args, kernel_size=1):
super().__init__()
self.embed_dim = args.encoder_embed_dim
self.conv_dim = args.encoder_conv_dim
Mutant 2593
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -530,7 +530,7 @@
x = self.maybe_layer_norm(1, x, after=True)
return x
- def maybe_layer_norm(self, i, x, before=False, after=False):
+ def maybe_layer_norm(self, i, x, before=True, after=False):
assert before ^ after
if after ^ self.normalize_before:
return self.layer_norms[i](x)
Mutant 2594
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -530,7 +530,7 @@
x = self.maybe_layer_norm(1, x, after=True)
return x
- def maybe_layer_norm(self, i, x, before=False, after=False):
+ def maybe_layer_norm(self, i, x, before=False, after=True):
assert before ^ after
if after ^ self.normalize_before:
return self.layer_norms[i](x)
Mutant 2595
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -552,7 +552,7 @@
kernel_size: kernel size of the convolution
"""
- def __init__(self, args, no_encoder_attn=False, kernel_size=0):
+ def __init__(self, args, no_encoder_attn=True, kernel_size=0):
super().__init__()
self.embed_dim = args.decoder_embed_dim
self.conv_dim = args.decoder_conv_dim
Mutant 2596
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -552,7 +552,7 @@
kernel_size: kernel size of the convolution
"""
- def __init__(self, args, no_encoder_attn=False, kernel_size=0):
+ def __init__(self, args, no_encoder_attn=False, kernel_size=1):
super().__init__()
self.embed_dim = args.decoder_embed_dim
self.conv_dim = args.decoder_conv_dim
Mutant 2597
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -660,7 +660,7 @@
x = self.maybe_layer_norm(self.final_layer_norm, x, after=True)
return x, attn
- def maybe_layer_norm(self, layer_norm, x, before=False, after=False):
+ def maybe_layer_norm(self, layer_norm, x, before=True, after=False):
assert before ^ after
if after ^ self.normalize_before:
return layer_norm(x)
Mutant 2598
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -660,7 +660,7 @@
x = self.maybe_layer_norm(self.final_layer_norm, x, after=True)
return x, attn
- def maybe_layer_norm(self, layer_norm, x, before=False, after=False):
+ def maybe_layer_norm(self, layer_norm, x, before=False, after=True):
assert before ^ after
if after ^ self.normalize_before:
return layer_norm(x)
Mutant 2599
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -667,7 +667,7 @@
else:
return x
- def make_generation_fast_(self, need_attn=False, **kwargs):
+ def make_generation_fast_(self, need_attn=True, **kwargs):
self.need_attn = need_attn
def extra_repr(self):
Mutant 2600
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -682,7 +682,7 @@
return m
-def Linear(in_features, out_features, bias=True):
+def Linear(in_features, out_features, bias=False):
m = nn.Linear(in_features, out_features, bias)
nn.init.xavier_uniform_(m.weight)
if bias:
Mutant 2602
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -690,7 +690,7 @@
return m
-@register_model_architecture('lightconv', 'lightconv')
+@register_model_architecture('lightconv', 'XXlightconvXX')
def base_architecture(args):
args.encoder_embed_path = getattr(args, 'encoder_embed_path', None)
args.encoder_embed_dim = getattr(args, 'encoder_embed_dim', 512)
Mutant 2603
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -689,8 +689,6 @@
nn.init.constant_(m.bias, 0.)
return m
-
-@register_model_architecture('lightconv', 'lightconv')
def base_architecture(args):
args.encoder_embed_path = getattr(args, 'encoder_embed_path', None)
args.encoder_embed_dim = getattr(args, 'encoder_embed_dim', 512)
Mutant 2605
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -735,7 +735,7 @@
args.weight_dropout = getattr(args, 'weight_dropout', args.attention_dropout)
-@register_model_architecture('lightconv', 'lightconv_iwslt_de_en')
+@register_model_architecture('lightconv', 'XXlightconv_iwslt_de_enXX')
def lightconv_iwslt_de_en(args):
args.encoder_embed_dim = getattr(args, 'encoder_embed_dim', 512)
args.encoder_ffn_embed_dim = getattr(args, 'encoder_ffn_embed_dim', 1024)
Mutant 2606
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -734,8 +734,6 @@
args.input_dropout = getattr(args, 'input_dropout', 0.1)
args.weight_dropout = getattr(args, 'weight_dropout', args.attention_dropout)
-
-@register_model_architecture('lightconv', 'lightconv_iwslt_de_en')
def lightconv_iwslt_de_en(args):
args.encoder_embed_dim = getattr(args, 'encoder_embed_dim', 512)
args.encoder_ffn_embed_dim = getattr(args, 'encoder_ffn_embed_dim', 1024)
Mutant 2608
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -753,7 +753,7 @@
base_architecture(args)
-@register_model_architecture('lightconv', 'lightconv_wmt_en_de')
+@register_model_architecture('lightconv', 'XXlightconv_wmt_en_deXX')
def lightconv_wmt_en_de(args):
base_architecture(args)
Mutant 2609
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -752,8 +752,6 @@
args.input_dropout = getattr(args, 'input_dropout', 0.0)
base_architecture(args)
-
-@register_model_architecture('lightconv', 'lightconv_wmt_en_de')
def lightconv_wmt_en_de(args):
base_architecture(args)
Mutant 2611
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -758,7 +758,7 @@
base_architecture(args)
-@register_model_architecture('lightconv', 'lightconv_wmt_en_de_big')
+@register_model_architecture('lightconv', 'XXlightconv_wmt_en_de_bigXX')
def lightconv_wmt_en_de_big(args):
args.attention_dropout = getattr(args, 'attention_dropout', 0.1)
args.encoder_embed_dim = getattr(args, 'encoder_embed_dim', 1024)
Mutant 2612
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -757,8 +757,6 @@
def lightconv_wmt_en_de(args):
base_architecture(args)
-
-@register_model_architecture('lightconv', 'lightconv_wmt_en_de_big')
def lightconv_wmt_en_de_big(args):
args.attention_dropout = getattr(args, 'attention_dropout', 0.1)
args.encoder_embed_dim = getattr(args, 'encoder_embed_dim', 1024)
Mutant 2614
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -772,7 +772,7 @@
base_architecture(args)
-@register_model_architecture('lightconv', 'lightconv_wmt_en_fr_big')
+@register_model_architecture('lightconv', 'XXlightconv_wmt_en_fr_bigXX')
def lightconv_wmt_en_fr_big(args):
args.dropout = getattr(args, 'dropout', 0.1)
lightconv_wmt_en_de_big(args)
Mutant 2615
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -771,8 +771,6 @@
args.dropout = getattr(args, 'dropout', 0.3)
base_architecture(args)
-
-@register_model_architecture('lightconv', 'lightconv_wmt_en_fr_big')
def lightconv_wmt_en_fr_big(args):
args.dropout = getattr(args, 'dropout', 0.1)
lightconv_wmt_en_de_big(args)
Mutant 2617
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -778,7 +778,7 @@
lightconv_wmt_en_de_big(args)
-@register_model_architecture('lightconv', 'lightconv_wmt_zh_en_big')
+@register_model_architecture('lightconv', 'XXlightconv_wmt_zh_en_bigXX')
def lightconv_wmt_zh_en_big(args):
args.dropout = getattr(args, 'dropout', 0.2)
args.attention_dropout = getattr(args, 'attention_dropout', 0.2)
Mutant 2618
--- fairseq/models/lightconv.py
+++ fairseq/models/lightconv.py
@@ -777,8 +777,6 @@
args.dropout = getattr(args, 'dropout', 0.1)
lightconv_wmt_en_de_big(args)
-
-@register_model_architecture('lightconv', 'lightconv_wmt_zh_en_big')
def lightconv_wmt_zh_en_big(args):
args.dropout = getattr(args, 'dropout', 0.2)
args.attention_dropout = getattr(args, 'attention_dropout', 0.2)