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Fix dummy objects for quantization #14478

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Nov 21, 2021
Merged

Fix dummy objects for quantization #14478

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04e0a1e
Fix dummy objects for quantization
sgugger Nov 21, 2021
c18fff9
Add more models
sgugger Nov 21, 2021
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7 changes: 7 additions & 0 deletions src/transformers/utils/dummy_flax_objects.py
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Original file line number Diff line number Diff line change
Expand Up @@ -477,6 +477,13 @@ class FlaxBertForNextSentencePrediction:
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"])

@classmethod
def from_pretrained(cls, *args, **kwargs):
requires_backends(cls, ["flax"])

def __call__(self, *args, **kwargs):
requires_backends(self, ["flax"])


class FlaxBertForPreTraining:
def __init__(self, *args, **kwargs):
Expand Down
35 changes: 35 additions & 0 deletions src/transformers/utils/dummy_pt_objects.py
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Expand Up @@ -56,6 +56,13 @@ class TextDatasetForNextSentencePrediction:
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])

@classmethod
def from_pretrained(cls, *args, **kwargs):
requires_backends(cls, ["torch"])

def forward(self, *args, **kwargs):
requires_backends(self, ["torch"])


class BeamScorer:
def __init__(self, *args, **kwargs):
Expand Down Expand Up @@ -783,6 +790,13 @@ class BertForNextSentencePrediction:
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])

@classmethod
def from_pretrained(cls, *args, **kwargs):
requires_backends(cls, ["torch"])

def forward(self, *args, **kwargs):
requires_backends(self, ["torch"])


class BertForPreTraining:
def __init__(self, *args, **kwargs):
Expand Down Expand Up @@ -2106,6 +2120,13 @@ class FNetForNextSentencePrediction:
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])

@classmethod
def from_pretrained(cls, *args, **kwargs):
requires_backends(cls, ["torch"])

def forward(self, *args, **kwargs):
requires_backends(self, ["torch"])


class FNetForPreTraining:
def __init__(self, *args, **kwargs):
Expand Down Expand Up @@ -3254,6 +3275,13 @@ class MegatronBertForNextSentencePrediction:
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])

@classmethod
def from_pretrained(cls, *args, **kwargs):
requires_backends(cls, ["torch"])

def forward(self, *args, **kwargs):
requires_backends(self, ["torch"])


class MegatronBertForPreTraining:
def __init__(self, *args, **kwargs):
Expand Down Expand Up @@ -3373,6 +3401,13 @@ class MobileBertForNextSentencePrediction:
def __init__(self, *args, **kwargs):
requires_backends(self, ["torch"])

@classmethod
def from_pretrained(cls, *args, **kwargs):
requires_backends(cls, ["torch"])

def forward(self, *args, **kwargs):
requires_backends(self, ["torch"])


class MobileBertForPreTraining:
def __init__(self, *args, **kwargs):
Expand Down
31 changes: 31 additions & 0 deletions src/transformers/utils/dummy_pytorch_quantization_and_torch_objects.py
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Original file line number Diff line number Diff line change
Expand Up @@ -13,6 +13,9 @@ def __init__(self, *args, **kwargs):
def from_pretrained(cls, *args, **kwargs):
requires_backends(cls, ["pytorch_quantization", "torch"])

def forward(self, *args, **kwargs):
requires_backends(self, ["pytorch_quantization", "torch"])


class QDQBertForMultipleChoice:
def __init__(self, *args, **kwargs):
Expand All @@ -22,11 +25,21 @@ def __init__(self, *args, **kwargs):
def from_pretrained(cls, *args, **kwargs):
requires_backends(cls, ["pytorch_quantization", "torch"])

def forward(self, *args, **kwargs):
requires_backends(self, ["pytorch_quantization", "torch"])


class QDQBertForNextSentencePrediction:
def __init__(self, *args, **kwargs):
requires_backends(self, ["pytorch_quantization", "torch"])

@classmethod
def from_pretrained(cls, *args, **kwargs):
requires_backends(cls, ["pytorch_quantization", "torch"])

def forward(self, *args, **kwargs):
requires_backends(self, ["pytorch_quantization", "torch"])


class QDQBertForQuestionAnswering:
def __init__(self, *args, **kwargs):
Expand All @@ -36,6 +49,9 @@ def __init__(self, *args, **kwargs):
def from_pretrained(cls, *args, **kwargs):
requires_backends(cls, ["pytorch_quantization", "torch"])

def forward(self, *args, **kwargs):
requires_backends(self, ["pytorch_quantization", "torch"])


class QDQBertForSequenceClassification:
def __init__(self, *args, **kwargs):
Expand All @@ -45,6 +61,9 @@ def __init__(self, *args, **kwargs):
def from_pretrained(cls, *args, **kwargs):
requires_backends(cls, ["pytorch_quantization", "torch"])

def forward(self, *args, **kwargs):
requires_backends(self, ["pytorch_quantization", "torch"])


class QDQBertForTokenClassification:
def __init__(self, *args, **kwargs):
Expand All @@ -54,6 +73,9 @@ def __init__(self, *args, **kwargs):
def from_pretrained(cls, *args, **kwargs):
requires_backends(cls, ["pytorch_quantization", "torch"])

def forward(self, *args, **kwargs):
requires_backends(self, ["pytorch_quantization", "torch"])


class QDQBertLayer:
def __init__(self, *args, **kwargs):
Expand All @@ -68,6 +90,9 @@ def __init__(self, *args, **kwargs):
def from_pretrained(cls, *args, **kwargs):
requires_backends(cls, ["pytorch_quantization", "torch"])

def forward(self, *args, **kwargs):
requires_backends(self, ["pytorch_quantization", "torch"])


class QDQBertModel:
def __init__(self, *args, **kwargs):
Expand All @@ -77,6 +102,9 @@ def __init__(self, *args, **kwargs):
def from_pretrained(cls, *args, **kwargs):
requires_backends(cls, ["pytorch_quantization", "torch"])

def forward(self, *args, **kwargs):
requires_backends(self, ["pytorch_quantization", "torch"])


class QDQBertPreTrainedModel:
def __init__(self, *args, **kwargs):
Expand All @@ -86,6 +114,9 @@ def __init__(self, *args, **kwargs):
def from_pretrained(cls, *args, **kwargs):
requires_backends(cls, ["pytorch_quantization", "torch"])

def forward(self, *args, **kwargs):
requires_backends(self, ["pytorch_quantization", "torch"])


def load_tf_weights_in_qdqbert(*args, **kwargs):
requires_backends(load_tf_weights_in_qdqbert, ["pytorch_quantization", "torch"])
14 changes: 14 additions & 0 deletions src/transformers/utils/dummy_tf_objects.py
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Expand Up @@ -452,6 +452,13 @@ class TFBertForNextSentencePrediction:
def __init__(self, *args, **kwargs):
requires_backends(self, ["tf"])

@classmethod
def from_pretrained(cls, *args, **kwargs):
requires_backends(cls, ["tf"])

def call(self, *args, **kwargs):
requires_backends(self, ["tf"])


class TFBertForPreTraining:
def __init__(self, *args, **kwargs):
Expand Down Expand Up @@ -1774,6 +1781,13 @@ class TFMobileBertForNextSentencePrediction:
def __init__(self, *args, **kwargs):
requires_backends(self, ["tf"])

@classmethod
def from_pretrained(cls, *args, **kwargs):
requires_backends(cls, ["tf"])

def call(self, *args, **kwargs):
requires_backends(self, ["tf"])


class TFMobileBertForPreTraining:
def __init__(self, *args, **kwargs):
Expand Down
3 changes: 2 additions & 1 deletion utils/check_dummies.py
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Expand Up @@ -23,7 +23,7 @@
PATH_TO_TRANSFORMERS = "src/transformers"

# Matches is_xxx_available()
_re_backend = re.compile(r"is\_([a-z]*)_available()")
_re_backend = re.compile(r"is\_([a-z_]*)_available()")
# Matches from xxx import bla
_re_single_line_import = re.compile(r"\s+from\s+\S*\s+import\s+([^\(\s].*)\n")
_re_test_backend = re.compile(r"^\s+if\s+is\_[a-z]*\_available\(\)")
Expand Down Expand Up @@ -131,6 +131,7 @@ def create_dummy_object(name, backend_name):
"ForConditionalGeneration",
"ForMaskedLM",
"ForMultipleChoice",
"ForNextSentencePrediction",
"ForObjectDetection",
"ForQuestionAnswering",
"ForSegmentation",
Expand Down