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Fix seq2seq doc tests #16606

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merged 5 commits into from
Apr 6, 2022
Merged

Fix seq2seq doc tests #16606

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b960e9f
fix bart and mbart
patil-suraj Apr 5, 2022
17f9af4
add ckpt names as variables
patil-suraj Apr 5, 2022
10233a1
fix mbart
patil-suraj Apr 5, 2022
a64cb9c
fix plbart
patil-suraj Apr 5, 2022
0764b08
use varibale for ckot name
patil-suraj Apr 6, 2022
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18 changes: 11 additions & 7 deletions src/transformers/models/bart/modeling_bart.py
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Original file line number Diff line number Diff line change
Expand Up @@ -56,11 +56,14 @@
_EXPECTED_OUTPUT_SHAPE = [1, 8, 768]

# SequenceClassification docstring
_SEQ_CLASS_EXPECTED_OUTPUT_SHAPE = [1, 2]
_CHECKPOINT_FOR_SEQUENCE_CLASSIFICATION = "valhalla/bart-large-sst2"
_SEQ_CLASS_EXPECTED_LOSS = 0.0
_SEQ_CLASS_EXPECTED_OUTPUT = "'POSITIVE'"

# QuestionAsnwering docstring
_QA_EXPECTED_LOSS = 2.98
_QA_EXPECTED_OUTPUT_SHAPE = [1, 17]
_CHECKPOINT_FOR_QA = "valhalla/bart-large-finetuned-squadv1"
_QA_EXPECTED_LOSS = 0.59
_QA_EXPECTED_OUTPUT = "' nice puppet'"


BART_PRETRAINED_MODEL_ARCHIVE_LIST = [
Expand Down Expand Up @@ -1447,10 +1450,11 @@ def __init__(self, config: BartConfig, **kwargs):
@add_start_docstrings_to_model_forward(BART_INPUTS_DOCSTRING)
@add_code_sample_docstrings(
processor_class=_TOKENIZER_FOR_DOC,
checkpoint=_CHECKPOINT_FOR_DOC,
checkpoint=_CHECKPOINT_FOR_SEQUENCE_CLASSIFICATION,
output_type=Seq2SeqSequenceClassifierOutput,
config_class=_CONFIG_FOR_DOC,
expected_output=_SEQ_CLASS_EXPECTED_OUTPUT_SHAPE,
expected_output=_SEQ_CLASS_EXPECTED_OUTPUT,
expected_loss=_SEQ_CLASS_EXPECTED_LOSS,
)
def forward(
self,
Expand Down Expand Up @@ -1572,11 +1576,11 @@ def __init__(self, config):
@add_start_docstrings_to_model_forward(BART_INPUTS_DOCSTRING)
@add_code_sample_docstrings(
processor_class=_TOKENIZER_FOR_DOC,
checkpoint=_CHECKPOINT_FOR_DOC,
checkpoint=_CHECKPOINT_FOR_QA,
output_type=Seq2SeqQuestionAnsweringModelOutput,
config_class=_CONFIG_FOR_DOC,
expected_loss=_QA_EXPECTED_LOSS,
expected_output=_QA_EXPECTED_OUTPUT_SHAPE,
expected_output=_QA_EXPECTED_OUTPUT,
)
def forward(
self,
Expand Down
20 changes: 12 additions & 8 deletions src/transformers/models/bigbird_pegasus/modeling_bigbird_pegasus.py
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Original file line number Diff line number Diff line change
Expand Up @@ -51,17 +51,20 @@

_CHECKPOINT_FOR_DOC = "google/bigbird-pegasus-large-arxiv"
_CONFIG_FOR_DOC = "BigBirdPegasusConfig"
_TOKENIZER_FOR_DOC = "PegasusTokenizer"
_TOKENIZER_FOR_DOC = "PegasusTokenizerFast"
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# Base model docstring
_EXPECTED_OUTPUT_SHAPE = [1, 7, 1024]

# SequenceClassification docstring
_SEQ_CLASS_EXPECTED_OUTPUT_SHAPE = [1, 2]
_CHECKPOINT_FOR_SEQUENCE_CLASSIFICATION = "hf-internal-testing/tiny-random-bigbird_pegasus"
_SEQ_CLASS_EXPECTED_LOSS = 0.69
_SEQ_CLASS_EXPECTED_OUTPUT = "'LABEL_1'"

# QuestionAsnwering docstring
_QA_EXPECTED_LOSS = 2.56
_QA_EXPECTED_OUTPUT_SHAPE = [1, 12]
_CHECKPOINT_FOR_QA = "hf-internal-testing/tiny-random-bigbird_pegasus"
_QA_EXPECTED_LOSS = 3.96
_QA_EXPECTED_OUTPUT = "''"


BIGBIRD_PEGASUS_PRETRAINED_MODEL_ARCHIVE_LIST = [
Expand Down Expand Up @@ -2645,10 +2648,11 @@ def __init__(self, config: BigBirdPegasusConfig, **kwargs):
@add_start_docstrings_to_model_forward(BIGBIRD_PEGASUS_INPUTS_DOCSTRING)
@add_code_sample_docstrings(
processor_class=_TOKENIZER_FOR_DOC,
checkpoint=_CHECKPOINT_FOR_DOC,
checkpoint=_CHECKPOINT_FOR_SEQUENCE_CLASSIFICATION,
output_type=Seq2SeqSequenceClassifierOutput,
config_class=_CONFIG_FOR_DOC,
expected_output=_SEQ_CLASS_EXPECTED_OUTPUT_SHAPE,
expected_output=_SEQ_CLASS_EXPECTED_OUTPUT,
expected_loss=_SEQ_CLASS_EXPECTED_LOSS,
)
def forward(
self,
Expand Down Expand Up @@ -2771,11 +2775,11 @@ def __init__(self, config):
@add_start_docstrings_to_model_forward(BIGBIRD_PEGASUS_INPUTS_DOCSTRING)
@add_code_sample_docstrings(
processor_class=_TOKENIZER_FOR_DOC,
checkpoint=_CHECKPOINT_FOR_DOC,
checkpoint=_CHECKPOINT_FOR_QA,
output_type=Seq2SeqQuestionAnsweringModelOutput,
config_class=_CONFIG_FOR_DOC,
expected_loss=_QA_EXPECTED_LOSS,
expected_output=_QA_EXPECTED_OUTPUT_SHAPE,
expected_output=_QA_EXPECTED_OUTPUT,
)
def forward(
self,
Expand Down
18 changes: 11 additions & 7 deletions src/transformers/models/mbart/modeling_mbart.py
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Original file line number Diff line number Diff line change
Expand Up @@ -55,11 +55,14 @@
_EXPECTED_OUTPUT_SHAPE = [1, 8, 1024]

# SequenceClassification docstring
_SEQ_CLASS_EXPECTED_OUTPUT_SHAPE = [1, 2]
_CHECKPOINT_FOR_SEQUENCE_CLASSIFICATION = "hf-internal-testing/tiny-random-mbart"
_SEQ_CLASS_EXPECTED_LOSS = 0.69
_SEQ_CLASS_EXPECTED_OUTPUT = "'LABEL_1'"

# QuestionAsnwering docstring
_QA_EXPECTED_LOSS = 3.04
_QA_EXPECTED_OUTPUT_SHAPE = [1, 16]
_CHECKPOINT_FOR_QA = "hf-internal-testing/tiny-random-mbart"
_QA_EXPECTED_LOSS = 3.55
_QA_EXPECTED_OUTPUT = "'? Jim Henson was a'"


MBART_PRETRAINED_MODEL_ARCHIVE_LIST = [
Expand Down Expand Up @@ -1437,10 +1440,11 @@ def __init__(self, config: MBartConfig, **kwargs):
@add_start_docstrings_to_model_forward(MBART_INPUTS_DOCSTRING)
@add_code_sample_docstrings(
processor_class=_TOKENIZER_FOR_DOC,
checkpoint=_CHECKPOINT_FOR_DOC,
checkpoint=_CHECKPOINT_FOR_SEQUENCE_CLASSIFICATION,
output_type=Seq2SeqSequenceClassifierOutput,
config_class=_CONFIG_FOR_DOC,
expected_output=_SEQ_CLASS_EXPECTED_OUTPUT_SHAPE,
expected_output=_SEQ_CLASS_EXPECTED_OUTPUT,
expected_loss=_SEQ_CLASS_EXPECTED_LOSS,
)
# Copied from transformers.models.bart.modeling_bart.BartForSequenceClassification.forward
def forward(
Expand Down Expand Up @@ -1563,11 +1567,11 @@ def __init__(self, config):
@add_start_docstrings_to_model_forward(MBART_INPUTS_DOCSTRING)
@add_code_sample_docstrings(
processor_class=_TOKENIZER_FOR_DOC,
checkpoint=_CHECKPOINT_FOR_DOC,
checkpoint=_CHECKPOINT_FOR_QA,
output_type=Seq2SeqQuestionAnsweringModelOutput,
config_class=_CONFIG_FOR_DOC,
expected_loss=_QA_EXPECTED_LOSS,
expected_output=_QA_EXPECTED_OUTPUT_SHAPE,
expected_output=_QA_EXPECTED_OUTPUT,
)
# Copied from transformers.models.bart.modeling_bart.BartForQuestionAnswering.forward
def forward(
Expand Down
9 changes: 6 additions & 3 deletions src/transformers/models/plbart/modeling_plbart.py
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Original file line number Diff line number Diff line change
Expand Up @@ -54,7 +54,9 @@
_EXPECTED_OUTPUT_SHAPE = [1, 8, 768]

# SequenceClassification docstring
_SEQ_CLASS_EXPECTED_OUTPUT_SHAPE = [1, 2]
_CHECKPOINT_FOR_SEQUENCE_CLASSIFICATION = "hf-internal-testing/tiny-plbart"
_SEQ_CLASS_EXPECTED_OUTPUT = "'LABEL_1'"
_SEQ_CLASS_EXPECTED_LOSS = 0.69


PLBART_PRETRAINED_MODEL_ARCHIVE_LIST = [
Expand Down Expand Up @@ -1408,10 +1410,11 @@ def __init__(self, config: PLBartConfig, **kwargs):
@add_start_docstrings_to_model_forward(PLBART_INPUTS_DOCSTRING)
@add_code_sample_docstrings(
processor_class=_TOKENIZER_FOR_DOC,
checkpoint=_CHECKPOINT_FOR_DOC,
checkpoint=_CHECKPOINT_FOR_SEQUENCE_CLASSIFICATION,
output_type=Seq2SeqSequenceClassifierOutput,
config_class=_CONFIG_FOR_DOC,
expected_output=_SEQ_CLASS_EXPECTED_OUTPUT_SHAPE,
expected_output=_SEQ_CLASS_EXPECTED_OUTPUT,
expected_loss=_SEQ_CLASS_EXPECTED_LOSS,
)
# Copied from transformers.models.bart.modeling_bart.BartForSequenceClassification.forward
def forward(
Expand Down