Fix model templates (#9999)
This commit is contained in:
@@ -55,6 +55,7 @@ if is_torch_available():
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"{{cookiecutter.camelcase_modelname}}ForConditionalGeneration",
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"{{cookiecutter.camelcase_modelname}}ForQuestionAnswering",
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"{{cookiecutter.camelcase_modelname}}ForSequenceClassification",
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"{{cookiecutter.camelcase_modelname}}ForCausalLM",
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"{{cookiecutter.camelcase_modelname}}Model",
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"{{cookiecutter.camelcase_modelname}}PreTrainedModel",
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]
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@@ -114,6 +115,7 @@ if TYPE_CHECKING:
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from .modeling_{{cookiecutter.lowercase_modelname}} import (
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{{cookiecutter.uppercase_modelname}}_PRETRAINED_MODEL_ARCHIVE_LIST,
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{{cookiecutter.camelcase_modelname}}ForConditionalGeneration,
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{{cookiecutter.camelcase_modelname}}ForCausalLM,
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{{cookiecutter.camelcase_modelname}}ForQuestionAnswering,
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{{cookiecutter.camelcase_modelname}}ForSequenceClassification,
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{{cookiecutter.camelcase_modelname}}Model,
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@@ -1546,6 +1546,7 @@ from ...modeling_outputs import (
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Seq2SeqModelOutput,
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Seq2SeqQuestionAnsweringModelOutput,
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Seq2SeqSequenceClassifierOutput,
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CausalLMOutputWithCrossAttentions
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)
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from ...modeling_utils import PreTrainedModel
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from ...utils import logging
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@@ -1952,7 +1953,7 @@ class {{cookiecutter.camelcase_modelname}}DecoderLayer(nn.Module):
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return outputs
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# Copied from transformers.models.bart.modeling_bart.{{cookiecutter.camelcase_modelname}}ClassificationHead with {{cookiecutter.camelcase_modelname}}->{{cookiecutter.camelcase_modelname}}
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# Copied from transformers.models.bart.modeling_bart.BartClassificationHead with Bart->{{cookiecutter.camelcase_modelname}}
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class {{cookiecutter.camelcase_modelname}}ClassificationHead(nn.Module):
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"""Head for sentence-level classification tasks."""
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@@ -3066,8 +3067,8 @@ class {{cookiecutter.camelcase_modelname}}ForQuestionAnswering({{cookiecutter.ca
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encoder_attentions=outputs.encoder_attentions,
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)
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# Copied from transformers.models.bart.modeling_bart.{{cookiecutter.camelcase_modelname}}DecoderWrapper with {{cookiecutter.camelcase_modelname}}->{{cookiecutter.camelcase_modelname}}
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class {{cookiecutter.camelcase_modelname}}DecoderWrapper({{cookiecutter.camelcase_modelname}}PretrainedModel):
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# Copied from transformers.models.bart.modeling_bart.BartDecoderWrapper with Bart->{{cookiecutter.camelcase_modelname}}
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class {{cookiecutter.camelcase_modelname}}DecoderWrapper({{cookiecutter.camelcase_modelname}}PreTrainedModel):
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"""
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This wrapper class is a helper class to correctly load pretrained checkpoints when the causal language model is
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used in combination with the :class:`~transformers.EncoderDecoderModel` framework.
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@@ -3081,8 +3082,8 @@ class {{cookiecutter.camelcase_modelname}}DecoderWrapper({{cookiecutter.camelcas
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return self.decoder(*args, **kwargs)
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# Copied from transformers.models.bart.modeling_bart.{{cookiecutter.camelcase_modelname}}ForCausalLM with {{cookiecutter.camelcase_modelname}}->{{cookiecutter.camelcase_modelname}}
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class {{cookiecutter.camelcase_modelname}}ForCausalLM({{cookiecutter.camelcase_modelname}}PretrainedModel):
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# Copied from transformers.models.bart.modeling_bart.BartForCausalLM with Bart->{{cookiecutter.camelcase_modelname}}
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class {{cookiecutter.camelcase_modelname}}ForCausalLM({{cookiecutter.camelcase_modelname}}PreTrainedModel):
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def __init__(self, config):
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super().__init__(config)
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config = copy.deepcopy(config)
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@@ -3199,8 +3200,8 @@ class {{cookiecutter.camelcase_modelname}}ForCausalLM({{cookiecutter.camelcase_m
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>>> from transformers import {{cookiecutter.camelcase_modelname}}Tokenizer, {{cookiecutter.camelcase_modelname}}ForCausalLM
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>>> tokenizer = {{cookiecutter.camelcase_modelname}}Tokenizer.from_pretrained('{{cookiecutter.checkpoint_identifier}}')
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>>> model = {{cookiecutter.camelcase_modelname}}ForCausalLM.from_pretrained('{{cookiecutter.checkpoint_identifier}}', add_cross_attention=False)
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>>> tokenizer = {{cookiecutter.camelcase_modelname}}Tokenizer.from_pretrained('facebook/bart-large')
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>>> model = {{cookiecutter.camelcase_modelname}}ForCausalLM.from_pretrained('facebook/bart-large', add_cross_attention=False)
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>>> assert model.config.is_decoder, f"{model.__class__} has to be configured as a decoder."
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>>> inputs = tokenizer("Hello, my dog is cute", return_tensors="pt")
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>>> outputs = model(**inputs)
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@@ -488,7 +488,7 @@ from transformers.testing_utils import require_sentencepiece, require_tokenizers
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from .test_configuration_common import ConfigTester
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from .test_generation_utils import GenerationTesterMixin
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from .test_modeling_common import ModelTesterMixin, ids_tensor, floats_tensor
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from .test_modeling_common import ModelTesterMixin, ids_tensor
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if is_torch_available():
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@@ -498,6 +498,7 @@ if is_torch_available():
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{{cookiecutter.camelcase_modelname}}Config,
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{{cookiecutter.camelcase_modelname}}ForConditionalGeneration,
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{{cookiecutter.camelcase_modelname}}ForQuestionAnswering,
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{{cookiecutter.camelcase_modelname}}ForCausalLM,
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{{cookiecutter.camelcase_modelname}}ForSequenceClassification,
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{{cookiecutter.camelcase_modelname}}Model,
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{{cookiecutter.camelcase_modelname}}Tokenizer,
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@@ -47,6 +47,7 @@
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_import_structure["models.{{cookiecutter.lowercase_modelname}}"].extend(
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[
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"{{cookiecutter.uppercase_modelname}}_PRETRAINED_MODEL_ARCHIVE_LIST",
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"{{cookiecutter.camelcase_modelname}}ForCausalLM",
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"{{cookiecutter.camelcase_modelname}}ForConditionalGeneration",
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"{{cookiecutter.camelcase_modelname}}ForQuestionAnswering",
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"{{cookiecutter.camelcase_modelname}}ForSequenceClassification",
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@@ -115,6 +116,7 @@
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from .models.{{cookiecutter.lowercase_modelname}} import (
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{{cookiecutter.uppercase_modelname}}_PRETRAINED_MODEL_ARCHIVE_LIST,
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{{cookiecutter.camelcase_modelname}}ForConditionalGeneration,
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{{cookiecutter.camelcase_modelname}}ForCausalLM,
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{{cookiecutter.camelcase_modelname}}ForQuestionAnswering,
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{{cookiecutter.camelcase_modelname}}ForSequenceClassification,
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{{cookiecutter.camelcase_modelname}}Model,
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@@ -209,6 +211,7 @@ from ..{{cookiecutter.lowercase_modelname}}.modeling_{{cookiecutter.lowercase_mo
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{% else -%}
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from ..{{cookiecutter.lowercase_modelname}}.modeling_{{cookiecutter.lowercase_modelname}} import (
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{{cookiecutter.camelcase_modelname}}ForConditionalGeneration,
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{{cookiecutter.camelcase_modelname}}ForCausalLM,
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{{cookiecutter.camelcase_modelname}}ForQuestionAnswering,
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{{cookiecutter.camelcase_modelname}}ForSequenceClassification,
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{{cookiecutter.camelcase_modelname}}Model,
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@@ -232,10 +235,7 @@ from ..{{cookiecutter.lowercase_modelname}}.modeling_{{cookiecutter.lowercase_mo
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# Below: "# Model for Causal LM mapping"
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# Replace with:
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{% if cookiecutter.is_encoder_decoder_model == "False" -%}
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({{cookiecutter.camelcase_modelname}}Config, {{cookiecutter.camelcase_modelname}}ForCausalLM),
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{% else -%}
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{% endif -%}
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# End.
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# Below: "# Model for Masked LM mapping"
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@@ -384,6 +384,7 @@ from ..{{cookiecutter.lowercase_modelname}}.modeling_tf_{{cookiecutter.lowercase
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{% else -%}
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"{{cookiecutter.camelcase_modelname}}Encoder",
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"{{cookiecutter.camelcase_modelname}}Decoder",
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"{{cookiecutter.camelcase_modelname}}DecoderWrapper",
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{% endif -%}
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# End.
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@@ -393,5 +394,6 @@ from ..{{cookiecutter.lowercase_modelname}}.modeling_tf_{{cookiecutter.lowercase
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{% else -%}
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"{{cookiecutter.camelcase_modelname}}Encoder", # Building part of bigger (tested) model.
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"{{cookiecutter.camelcase_modelname}}Decoder", # Building part of bigger (tested) model.
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"{{cookiecutter.camelcase_modelname}}DecoderWrapper", # Building part of bigger (tested) model.
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{% endif -%}
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# End.
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@@ -121,6 +121,13 @@ Tips:
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:members: forward
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{{cookiecutter.camelcase_modelname}}ForCausalLM
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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.. autoclass:: transformers.{{cookiecutter.camelcase_modelname}}ForCausalLM
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:members: forward
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{% endif -%}
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{% endif -%}
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{% if "TensorFlow" in cookiecutter.generate_tensorflow_and_pytorch -%}
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@@ -180,5 +187,7 @@ TF{{cookiecutter.camelcase_modelname}}ForConditionalGeneration
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.. autoclass:: transformers.TF{{cookiecutter.camelcase_modelname}}ForConditionalGeneration
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:members: call
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{% endif -%}
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{% endif -%}
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