gistfile1.txt

fms/utils/generation.py:10: note: By default the bodies of untyped functions are not checked, consider using --check-untyped-defs  [annotation-unchecked]
fms/models/hf/lm_head_mixins.py:7: error: Skipping analyzing "transformers": module is installed, but missing library stubs or py.typed marker  [import-untyped]
fms/models/hf/lm_head_mixins.py:8: error: Skipping analyzing "transformers.modeling_outputs": module is installed, but missing library stubs or py.typed marker  [import-untyped]
fms/models/hf/lm_head_mixins.py:15: error: Skipping analyzing "transformers.utils": module is installed, but missing library stubs or py.typed marker  [import-untyped]
fms/models/hf/lm_head_mixins.py:73: error: Unexpected keyword argument "config" for "__init__" of "object"  [call-arg]
fms/models/hf/lm_head_mixins.py:73: error: Unexpected keyword argument "lm_head" for "__init__" of "object"  [call-arg]
fms/models/hf/lm_head_mixins.py:186: error: "__init__" of "LMHeadMixin" gets multiple values for keyword argument "_lm_head_params"  [misc]
fms/models/hf/lm_head_mixins.py:188: error: Signature of "_get_empty_lm_head" incompatible with supertype "LMHeadMixin"  [override]
fms/models/hf/lm_head_mixins.py:188: note:      Superclass:
fms/models/hf/lm_head_mixins.py:188: note:          def _get_empty_lm_head(self, **kwargs: Any) -> Module
fms/models/hf/lm_head_mixins.py:188: note:      Subclass:
fms/models/hf/lm_head_mixins.py:188: note:          def _get_empty_lm_head(self, bias: bool) -> Module
fms/models/hf/lm_head_mixins.py:210: error: Item "None" of "Any | None" has no attribute "past_key_values"  [union-attr]
fms/models/hf/lm_head_mixins.py:211: error: Item "None" of "Any | None" has no attribute "hidden_states"  [union-attr]
fms/models/hf/lm_head_mixins.py:212: error: Item "None" of "Any | None" has no attribute "attentions"  [union-attr]
fms/models/hf/lm_head_mixins.py:213: error: Item "None" of "Any | None" has no attribute "cross_attentions"  [union-attr]
fms/models/hf/lm_head_mixins.py:234: error: "__init__" of "LMHeadMixin" gets multiple values for keyword argument "_lm_head_params"  [misc]
fms/models/hf/lm_head_mixins.py:236: error: Signature of "_get_empty_lm_head" incompatible with supertype "LMHeadMixin"  [override]
fms/models/hf/lm_head_mixins.py:236: note:      Superclass:
fms/models/hf/lm_head_mixins.py:236: note:          def _get_empty_lm_head(self, **kwargs: Any) -> Module
fms/models/hf/lm_head_mixins.py:236: note:      Subclass:
fms/models/hf/lm_head_mixins.py:236: note:          def _get_empty_lm_head(self, bias: bool) -> Module
fms/models/hf/lm_head_mixins.py:258: error: Item "None" of "Any | None" has no attribute "past_key_values"  [union-attr]
fms/models/hf/lm_head_mixins.py:259: error: Item "None" of "Any | None" has no attribute "hidden_states"  [union-attr]
fms/models/hf/lm_head_mixins.py:260: error: Item "None" of "Any | None" has no attribute "attentions"  [union-attr]
fms/models/hf/lm_head_mixins.py:261: error: Item "None" of "Any | None" has no attribute "cross_attentions"  [union-attr]
fms/models/hf/lm_head_mixins.py:262: error: Item "None" of "Any | None" has no attribute "last_hidden_state"  [union-attr]
fms/models/hf/lm_head_mixins.py:263: error: Item "None" of "Any | None" has no attribute "hidden_states"  [union-attr]
fms/models/hf/lm_head_mixins.py:264: error: Item "None" of "Any | None" has no attribute "attentions"  [union-attr]
fms/models/hf/lm_head_mixins.py:305: error: "__init__" of "LMHeadMixin" gets multiple values for keyword argument "_lm_head_params"  [misc]
fms/models/hf/lm_head_mixins.py:314: error: Signature of "_get_empty_lm_head" incompatible with supertype "LMHeadMixin"  [override]
fms/models/hf/lm_head_mixins.py:314: note:      Superclass:
fms/models/hf/lm_head_mixins.py:314: note:          def _get_empty_lm_head(self, **kwargs: Any) -> Module
fms/models/hf/lm_head_mixins.py:314: note:      Subclass:
fms/models/hf/lm_head_mixins.py:314: note:          def _get_empty_lm_head(self, classifier_activation_fn: str, classifier_dropout: float) -> Module
fms/models/hf/lm_head_mixins.py:345: error: Incompatible types in assignment (expression has type "CrossEntropyLoss", variable has type "MSELoss")  [assignment]
fms/models/hf/lm_head_mixins.py:350: error: Incompatible types in assignment (expression has type "BCEWithLogitsLoss", variable has type "MSELoss")  [assignment]
fms/models/hf/lm_head_mixins.py:365: error: Item "None" of "Any | None" has no attribute "hidden_states"  [union-attr]
fms/models/hf/lm_head_mixins.py:366: error: Item "None" of "Any | None" has no attribute "attentions"  [union-attr]
fms/models/hf/lm_head_mixins.py:403: error: "__init__" of "LMHeadMixin" gets multiple values for keyword argument "_lm_head_params"  [misc]
fms/models/hf/lm_head_mixins.py:415: error: Signature of "_get_empty_lm_head" incompatible with supertype "LMHeadMixin"  [override]
fms/models/hf/lm_head_mixins.py:415: note:      Superclass:
fms/models/hf/lm_head_mixins.py:415: note:          def _get_empty_lm_head(self, **kwargs: Any) -> Module
fms/models/hf/lm_head_mixins.py:415: note:      Subclass:
fms/models/hf/lm_head_mixins.py:415: note:          def _get_empty_lm_head(self, activation_fn: str, norm_eps: float) -> Module
fms/models/hf/lm_head_mixins.py:437: error: Item "None" of "Any | None" has no attribute "hidden_states"  [union-attr]
fms/models/hf/lm_head_mixins.py:438: error: Item "None" of "Any | None" has no attribute "attentions"  [union-attr]
fms/models/hf/gpt_bigcode/configuration_gpt_bigcode_hf.py:3: error: Skipping analyzing "transformers": module is installed, but missing library stubs or py.typed marker  [import-untyped]
fms/models/hf/llama/configuration_llama_hf.py:3: error: Skipping analyzing "transformers": module is installed, but missing library stubs or py.typed marker  [import-untyped]
fms/models/hf/utils.py:5: error: Skipping analyzing "transformers": module is installed, but missing library stubs or py.typed marker  [import-untyped]
fms/models/hf/utils.py:49: error: Incompatible return value type (got "Tensor", expected "BoolTensor")  [return-value]
fms/models/hf/utils.py:103: error: Incompatible return value type (got "Tensor", expected "BoolTensor")  [return-value]
fms/models/hf/utils.py:106: error: Name "HFModelArchitecture" is not defined  [name-defined]
fms/models/hf/utils.py:132: error: "PostInitCaller" has no attribute "from_fms_model"  [attr-defined]
fms/models/hf/modeling_hf_adapter.py:9: error: Skipping analyzing "transformers": module is installed, but missing library stubs or py.typed marker  [import-untyped]
fms/models/hf/modeling_hf_adapter.py:10: error: Skipping analyzing "transformers.modeling_outputs": module is installed, but missing library stubs or py.typed marker  [import-untyped]
fms/models/hf/modeling_hf_adapter.py:17: error: Skipping analyzing "transformers.utils": module is installed, but missing library stubs or py.typed marker  [import-untyped]
fms/models/hf/modeling_hf_adapter.py:120: error: Incompatible types in assignment (expression has type "Tensor", variable has type "FloatTensor | None")  [assignment]
fms/models/hf/modeling_hf_adapter.py:125: error: Incompatible types in assignment (expression has type "Tensor", variable has type "FloatTensor | None")  [assignment]
fms/models/hf/modeling_hf_adapter.py:228: error: "forward" of "_HFBase" gets multiple values for keyword argument "input_ids"  [misc]
fms/models/hf/modeling_hf_adapter.py:228: error: "forward" of "_HFBase" gets multiple values for keyword argument "attention_mask"  [misc]
fms/models/hf/modeling_hf_adapter.py:228: error: "forward" of "_HFBase" gets multiple values for keyword argument "head_mask"  [misc]
fms/models/hf/modeling_hf_adapter.py:228: error: "forward" of "_HFBase" gets multiple values for keyword argument "inputs_embeds"  [misc]
fms/models/hf/modeling_hf_adapter.py:228: error: "forward" of "_HFBase" gets multiple values for keyword argument "output_attentions"  [misc]
fms/models/hf/modeling_hf_adapter.py:228: error: "forward" of "_HFBase" gets multiple values for keyword argument "output_hidden_states"  [misc]
fms/models/hf/modeling_hf_adapter.py:228: error: "forward" of "_HFBase" gets multiple values for keyword argument "return_dict"  [misc]
fms/models/hf/modeling_hf_adapter.py:327: error: Signature of "forward" incompatible with supertype "_HFBase"  [override]
fms/models/hf/modeling_hf_adapter.py:327: note:      Superclass:
fms/models/hf/modeling_hf_adapter.py:327: note:          def forward(self, input_ids: LongTensor | None = ..., attention_mask: FloatTensor | None = ..., head_mask: FloatTensor | None = ..., inputs_embeds: FloatTensor | None = ..., output_attentions: bool | None = ..., output_hidden_states: bool | None = ..., return_dict: bool | None = ..., *args: Any, **kwargs: Any) -> Any
fms/models/hf/modeling_hf_adapter.py:327: note:      Subclass:
fms/models/hf/modeling_hf_adapter.py:327: note:          def forward(self, input_ids: LongTensor | None = ..., attention_mask: Tensor | None = ..., inputs_embeds: FloatTensor | None = ..., past_key_values: tuple[Tensor] | None = ..., encoder_hidden_states: Tensor | None = ..., encoder_attention_mask: Tensor | None = ..., head_mask: Tensor | None = ..., cross_attn_head_mask: Tensor | None = ..., use_cache: bool | None = ..., output_attentions: bool | None = ..., output_hidden_states: bool | None = ..., return_dict: bool | None = ..., *args: Any, **kwargs: Any) -> Any
fms/models/hf/modeling_hf_adapter.py:412: error: "forward" of "_HFBase" gets multiple values for keyword argument "input_ids"  [misc]
fms/models/hf/modeling_hf_adapter.py:412: error: "forward" of "_HFBase" gets multiple values for keyword argument "attention_mask"  [misc]
fms/models/hf/modeling_hf_adapter.py:412: error: "forward" of "_HFBase" gets multiple values for keyword argument "head_mask"  [misc]
fms/models/hf/modeling_hf_adapter.py:412: error: "forward" of "_HFBase" gets multiple values for keyword argument "inputs_embeds"  [misc]
fms/models/hf/modeling_hf_adapter.py:412: error: "forward" of "_HFBase" gets multiple values for keyword argument "output_attentions"  [misc]
fms/models/hf/modeling_hf_adapter.py:412: error: "forward" of "_HFBase" gets multiple values for keyword argument "output_hidden_states"  [misc]
fms/models/hf/modeling_hf_adapter.py:412: error: "forward" of "_HFBase" gets multiple values for keyword argument "return_dict"  [misc]
fms/models/hf/modeling_hf_adapter.py:414: error: Argument "attention_mask" to "forward" of "_HFBase" has incompatible type "Tensor | None"; expected "FloatTensor | None"  [arg-type]
fms/models/hf/modeling_hf_adapter.py:419: error: Argument "head_mask" to "forward" of "_HFBase" has incompatible type "Tensor | None"; expected "FloatTensor | None"  [arg-type]
fms/models/hf/modeling_hf_adapter.py:682: error: Argument "map_location" to "load" has incompatible type "str | dict[str, int | str | device] | None"; expected "Callable[[Tensor, str], Tensor] | device | str | dict[str, str] | None"  [arg-type]
fms/models/hf/modeling_hf_adapter.py:844: error: Value of type "Any | None" is not indexable  [index]
fms/models/hf/modeling_hf_adapter.py:844: error: Item "None" of "Any | None" has no attribute "to_tuple"  [union-attr]
fms/models/hf/modeling_hf_adapter.py:914: error: "_EncoderArchitectureMixin" has no attribute "_compute_attention_masks"; maybe "_compute_encoder_attention_masks"?  [attr-defined]
fms/models/hf/modeling_hf_adapter.py:953: error: "__init__" of "HFModelArchitecture" gets multiple values for keyword argument "embedding"  [misc]
fms/models/hf/modeling_hf_adapter.py:953: error: "__init__" of "HFModelArchitecture" gets multiple values for keyword argument "config"  [misc]
fms/models/hf/modeling_hf_adapter.py:1050: error: Signature of "forward" incompatible with supertype "HFModelArchitecture"  [override]
fms/models/hf/modeling_hf_adapter.py:1050: note:      Superclass:
fms/models/hf/modeling_hf_adapter.py:1050: note:          def forward(self, input_ids: LongTensor | None = ..., labels: LongTensor | None = ..., past_key_values: tuple[tuple[FloatTensor]] | None = ..., use_cache: bool | None = ..., return_dict: bool | None = ..., **kwargs: Any) -> Any
fms/models/hf/modeling_hf_adapter.py:1050: note:      Subclass:
fms/models/hf/modeling_hf_adapter.py:1050: note:          def forward(self, input_ids: LongTensor | None = ..., past_key_values: tuple[tuple[FloatTensor]] | None = ..., attention_mask: FloatTensor | None = ..., head_mask: FloatTensor | None = ..., position_ids: LongTensor | None = ..., inputs_embeds: FloatTensor | None = ..., use_cache: bool | None = ..., output_attentions: bool | None = ..., output_hidden_states: bool | None = ..., return_dict: bool | None = ..., labels: LongTensor | None = ..., **kwargs: Any) -> Any
fms/models/hf/modeling_hf_adapter.py:1316: error: "__init__" of "HFModelArchitecture" gets multiple values for keyword argument "embedding"  [misc]
fms/models/hf/modeling_hf_adapter.py:1316: error: "__init__" of "HFModelArchitecture" gets multiple values for keyword argument "config"  [misc]
fms/models/hf/modeling_hf_adapter.py:1352: error: Signature of "forward" incompatible with supertype "HFModelArchitecture"  [override]
fms/models/hf/modeling_hf_adapter.py:1352: note:      Superclass:
fms/models/hf/modeling_hf_adapter.py:1352: note:          def forward(self, input_ids: LongTensor | None = ..., labels: LongTensor | None = ..., past_key_values: tuple[tuple[FloatTensor]] | None = ..., use_cache: bool | None = ..., return_dict: bool | None = ..., **kwargs: Any) -> Any
fms/models/hf/modeling_hf_adapter.py:1352: note:      Subclass:
fms/models/hf/modeling_hf_adapter.py:1352: note:          def forward(self, input_ids: LongTensor | None = ..., attention_mask: FloatTensor | None = ..., head_mask: FloatTensor | None = ..., inputs_embeds: FloatTensor | None = ..., output_attentions: bool | None = ..., output_hidden_states: bool | None = ..., return_dict: bool | None = ..., labels: LongTensor | None = ..., **kwargs: Any) -> Any
fms/models/hf/modeling_hf_adapter.py:1466: error: "__init__" of "HFDecoderModelArchitecture" gets multiple values for keyword argument "decoder"  [misc]
fms/models/hf/modeling_hf_adapter.py:1466: error: "__init__" of "HFDecoderModelArchitecture" gets multiple values for keyword argument "embedding"  [misc]
fms/models/hf/modeling_hf_adapter.py:1466: error: "__init__" of "HFDecoderModelArchitecture" gets multiple values for keyword argument "config"  [misc]
fms/models/hf/modeling_hf_adapter.py:1521: error: Signature of "forward" incompatible with supertype "HFDecoderModelArchitecture"  [override]
fms/models/hf/modeling_hf_adapter.py:1521: note:      Superclass:
fms/models/hf/modeling_hf_adapter.py:1521: note:          def forward(self, input_ids: LongTensor | None = ..., past_key_values: tuple[tuple[FloatTensor]] | None = ..., attention_mask: FloatTensor | None = ..., head_mask: FloatTensor | None = ..., position_ids: LongTensor | None = ..., inputs_embeds: FloatTensor | None = ..., use_cache: bool | None = ..., output_attentions: bool | None = ..., output_hidden_states: bool | None = ..., return_dict: bool | None = ..., labels: LongTensor | None = ..., **kwargs: Any) -> Any
fms/models/hf/modeling_hf_adapter.py:1521: note:      Subclass:
fms/models/hf/modeling_hf_adapter.py:1521: note:          def forward(self, input_ids: LongTensor | None = ..., attention_mask: FloatTensor | None = ..., decoder_input_ids: LongTensor | None = ..., decoder_attention_mask: BoolTensor | None = ..., head_mask: FloatTensor | None = ..., decoder_head_mask: FloatTensor | None = ..., cross_attn_head_mask: Tensor | None = ..., encoder_outputs: tuple[tuple[FloatTensor]] | None = ..., past_key_values: tuple[tuple[FloatTensor]] | None = ..., inputs_embeds: FloatTensor | None = ..., decoder_inputs_embeds: FloatTensor | None = ..., use_cache: bool | None = ..., output_attentions: bool | None = ..., output_hidden_states: bool | None = ..., return_dict: bool | None = ..., labels: LongTensor | None = ..., **kwargs: Any) -> Any
fms/models/hf/modeling_hf_adapter.py:1521: error: Signature of "forward" incompatible with supertype "HFModelArchitecture"  [override]
fms/models/hf/modeling_hf_adapter.py:1521: note:      Superclass:
fms/models/hf/modeling_hf_adapter.py:1521: note:          def forward(self, input_ids: LongTensor | None = ..., labels: LongTensor | None = ..., past_key_values: tuple[tuple[FloatTensor]] | None = ..., use_cache: bool | None = ..., return_dict: bool | None = ..., **kwargs: Any) -> Any
fms/models/hf/modeling_hf_adapter.py:1521: note:      Subclass:
fms/models/hf/modeling_hf_adapter.py:1521: note:          def forward(self, input_ids: LongTensor | None = ..., attention_mask: FloatTensor | None = ..., decoder_input_ids: LongTensor | None = ..., decoder_attention_mask: BoolTensor | None = ..., head_mask: FloatTensor | None = ..., decoder_head_mask: FloatTensor | None = ..., cross_attn_head_mask: Tensor | None = ..., encoder_outputs: tuple[tuple[FloatTensor]] | None = ..., past_key_values: tuple[tuple[FloatTensor]] | None = ..., inputs_embeds: FloatTensor | None = ..., decoder_inputs_embeds: FloatTensor | None = ..., use_cache: bool | None = ..., output_attentions: bool | None = ..., output_hidden_states: bool | None = ..., return_dict: bool | None = ..., labels: LongTensor | None = ..., **kwargs: Any) -> Any
fms/models/hf/modeling_hf_adapter.py:1630: error: Argument 1 to "_compute_encoder_attention_masks" of "_EncoderArchitectureMixin" has incompatible type "LongTensor | FloatTensor | None"; expected "Tensor"  [arg-type]
fms/models/hf/modeling_hf_adapter.py:1631: error: Argument 2 to "_compute_encoder_attention_masks" of "_EncoderArchitectureMixin" has incompatible type "FloatTensor | None"; expected "Tensor"  [arg-type]
fms/models/hf/modeling_hf_adapter.py:1655: error: Tuple index out of range  [misc]
fms/models/hf/modeling_hf_adapter.py:1656: error: Tuple index out of range  [misc]
fms/models/hf/modeling_hf_adapter.py:1661: error: Value of type "tuple[tuple[FloatTensor]] | None" is not indexable  [index]
fms/models/hf/modeling_hf_adapter.py:1667: error: Incompatible types in assignment (expression has type "Tensor", variable has type "LongTensor | None")  [assignment]
fms/models/hf/modeling_hf_adapter.py:1682: error: Argument 1 to "_compute_decoder_attention_masks" of "HFEncoderDecoderModelArchitecture" has incompatible type "LongTensor | FloatTensor | None"; expected "Tensor"  [arg-type]
fms/models/hf/modeling_hf_adapter.py:1686: error: Argument 2 to "_compute_decoder_attention_masks" of "HFEncoderDecoderModelArchitecture" has incompatible type "BoolTensor | None"; expected "Tensor"  [arg-type]
fms/models/hf/modeling_hf_adapter.py:1687: error: Argument 3 to "_compute_decoder_attention_masks" of "HFEncoderDecoderModelArchitecture" has incompatible type "bool | None"; expected "bool"  [arg-type]
fms/models/hf/modeling_hf_adapter.py:1701: error: Item "tuple[FloatTensor, ...]" of "tuple[FloatTensor] | Any" has no attribute "shape"  [union-attr]
fms/models/hf/modeling_hf_adapter.py:1742: error: Argument "attention_mask" to "forward" of "HFDecoderModelArchitecture" has incompatible type "Any | BoolTensor | None"; expected "FloatTensor | None"  [arg-type]
fms/models/hf/modeling_hf_adapter.py:1855: error: Signature of "_prepare_inputs_for_generation" incompatible with supertype "HFDecoderModelArchitecture"  [override]
fms/models/hf/modeling_hf_adapter.py:1855: note:      Superclass:
fms/models/hf/modeling_hf_adapter.py:1855: note:          def _prepare_inputs_for_generation(self, input_ids: Tensor, attention_mask: Tensor | None = ..., past_key_values: tuple[Tensor] | None = ..., use_cache: bool | None = ..., **model_kwargs: Any) -> dict[Any, Any]
fms/models/hf/modeling_hf_adapter.py:1855: note:      Subclass:
fms/models/hf/modeling_hf_adapter.py:1855: note:          def _prepare_inputs_for_generation(self, decoder_input_ids: Tensor, past_key_values: tuple[Tensor] | None = ..., attention_mask: Tensor | None = ..., head_mask: FloatTensor | None = ..., decoder_head_mask: FloatTensor | None = ..., decoder_attention_mask: Tensor | None = ..., cross_attn_head_mask: Tensor | None = ..., use_cache: bool | None = ..., encoder_outputs: tuple[tuple[FloatTensor]] | None = ..., **model_kwargs: Any) -> dict[Any, Any]
fms/models/hf/modeling_hf_adapter.py:1855: error: Signature of "_prepare_inputs_for_generation" incompatible with supertype "HFModelArchitecture"  [override]
fms/models/hf/modeling_hf_adapter.py:1855: note:      Superclass:
fms/models/hf/modeling_hf_adapter.py:1855: note:          def _prepare_inputs_for_generation(self, input_ids: Tensor, **model_kwargs: Any) -> dict[Any, Any]
fms/models/hf/modeling_hf_adapter.py:1855: note:      Subclass:
fms/models/hf/modeling_hf_adapter.py:1855: note:          def _prepare_inputs_for_generation(self, decoder_input_ids: Tensor, past_key_values: tuple[Tensor] | None = ..., attention_mask: Tensor | None = ..., head_mask: FloatTensor | None = ..., decoder_head_mask: FloatTensor | None = ..., decoder_attention_mask: Tensor | None = ..., cross_attn_head_mask: Tensor | None = ..., use_cache: bool | None = ..., encoder_outputs: tuple[tuple[FloatTensor]] | None = ..., **model_kwargs: Any) -> dict[Any, Any]
fms/models/hf/roberta/modeling_roberta_hf.py:5: error: Skipping analyzing "transformers": module is installed, but missing library stubs or py.typed marker  [import-untyped]
fms/models/hf/roberta/modeling_roberta_hf.py:6: error: Skipping analyzing "transformers.modeling_outputs": module is installed, but missing library stubs or py.typed marker  [import-untyped]
fms/models/hf/roberta/modeling_roberta_hf.py:139: error: "__init__" of "MaskedLMHeadMixin" gets multiple values for keyword argument "activation_fn"  [misc]
fms/models/hf/roberta/modeling_roberta_hf.py:139: error: "__init__" of "MaskedLMHeadMixin" gets multiple values for keyword argument "norm_eps"  [misc]
fms/models/hf/roberta/modeling_roberta_hf.py:149: error: Argument 1 of "_hf_model_from_fms" is incompatible with supertype "HFModelArchitecture"; supertype defines the argument type as "Module"  [override]
fms/models/hf/roberta/modeling_roberta_hf.py:149: note: This violates the Liskov substitution principle
fms/models/hf/roberta/modeling_roberta_hf.py:149: note: See https://mypy.readthedocs.io/en/stable/common_issues.html#incompatible-overrides
fms/models/hf/roberta/modeling_roberta_hf.py:170: error: "__init__" of "SequenceClassificationLMHeadMixin" gets multiple values for keyword argument "classifier_activation_fn"  [misc]
fms/models/hf/roberta/modeling_roberta_hf.py:170: error: "__init__" of "SequenceClassificationLMHeadMixin" gets multiple values for keyword argument "classifier_dropout"  [misc]
fms/models/hf/roberta/modeling_roberta_hf.py:182: error: Argument 1 of "_hf_model_from_fms" is incompatible with supertype "HFModelArchitecture"; supertype defines the argument type as "Module"  [override]
fms/models/hf/roberta/modeling_roberta_hf.py:182: note: This violates the Liskov substitution principle
fms/models/hf/roberta/modeling_roberta_hf.py:182: note: See https://mypy.readthedocs.io/en/stable/common_issues.html#incompatible-overrides
fms/models/hf/llama/modeling_llama_hf.py:5: error: Skipping analyzing "transformers": module is installed, but missing library stubs or py.typed marker  [import-untyped]
fms/models/hf/llama/modeling_llama_hf.py:6: error: Skipping analyzing "transformers.modeling_outputs": module is installed, but missing library stubs or py.typed marker  [import-untyped]
fms/models/hf/llama/modeling_llama_hf.py:20: error: Signature of "_adapt" incompatible with supertype "HFDecoder"  [override]
fms/models/hf/llama/modeling_llama_hf.py:20: note:      Superclass:
fms/models/hf/llama/modeling_llama_hf.py:20: note:          def _adapt(self, input_ids: LongTensor | None = ..., attention_mask: Tensor | None = ..., inputs_embeds: FloatTensor | None = ..., past_key_values: tuple[Tensor] | None = ..., encoder_hidden_states: Tensor | None = ..., encoder_attention_mask: Tensor | None = ..., head_mask: Tensor | None = ..., cross_attn_head_mask: Tensor | None = ..., use_cache: bool | None = ..., output_attentions: bool | None = ..., output_hidden_states: bool | None = ..., *args: Any, **kwargs: Any) -> Any
fms/models/hf/llama/modeling_llama_hf.py:20: note:      Subclass:
fms/models/hf/llama/modeling_llama_hf.py:20: note:          def _adapt(self, input_ids: LongTensor | None = ..., attention_mask: Tensor | None = ..., position_ids: LongTensor | None = ..., past_key_values: tuple[Tensor] | None = ..., use_cache: bool | None = ..., attn_algorithm: str | None = ..., *args: Any, **kwargs: Any) -> Any
fms/models/hf/llama/modeling_llama_hf.py:73: error: Argument 1 to "HFAdaptedLLaMADecoder" has incompatible type Module; expected "LLaMA"  [arg-type]
fms/models/hf/llama/modeling_llama_hf.py:114: error: "__init__" of "LMHeadModelLMHeadMixin" gets multiple values for keyword argument "bias"  [misc]
fms/models/hf/llama/modeling_llama_hf.py:118: error: Argument 1 of "_hf_model_from_fms" is incompatible with supertype "HFModelArchitecture"; supertype defines the argument type as "Module"  [override]
fms/models/hf/llama/modeling_llama_hf.py:118: note: This violates the Liskov substitution principle
fms/models/hf/llama/modeling_llama_hf.py:118: note: See https://mypy.readthedocs.io/en/stable/common_issues.html#incompatible-overrides
fms/models/hf/gpt_bigcode/modeling_gpt_bigcode_hf.py:5: error: Skipping analyzing "transformers": module is installed, but missing library stubs or py.typed marker  [import-untyped]
fms/models/hf/gpt_bigcode/modeling_gpt_bigcode_hf.py:6: error: Skipping analyzing "transformers.modeling_outputs": module is installed, but missing library stubs or py.typed marker  [import-untyped]
fms/models/hf/gpt_bigcode/modeling_gpt_bigcode_hf.py:22: error: Signature of "_adapt" incompatible with supertype "HFDecoder"  [override]
fms/models/hf/gpt_bigcode/modeling_gpt_bigcode_hf.py:22: note:      Superclass:
fms/models/hf/gpt_bigcode/modeling_gpt_bigcode_hf.py:22: note:          def _adapt(self, input_ids: LongTensor | None = ..., attention_mask: Tensor | None = ..., inputs_embeds: FloatTensor | None = ..., past_key_values: tuple[Tensor] | None = ..., encoder_hidden_states: Tensor | None = ..., encoder_attention_mask: Tensor | None = ..., head_mask: Tensor | None = ..., cross_attn_head_mask: Tensor | None = ..., use_cache: bool | None = ..., output_attentions: bool | None = ..., output_hidden_states: bool | None = ..., *args: Any, **kwargs: Any) -> Any
fms/models/hf/gpt_bigcode/modeling_gpt_bigcode_hf.py:22: note:      Subclass:
fms/models/hf/gpt_bigcode/modeling_gpt_bigcode_hf.py:22: note:          def _adapt(self, input_ids: LongTensor | None = ..., attention_mask: Tensor | None = ..., position_ids: LongTensor | None = ..., past_key_values: tuple[Tensor] | None = ..., use_cache: bool | None = ..., attn_algorithm: str | None = ..., *args: Any, **kwargs: Any) -> Any
fms/models/hf/gpt_bigcode/modeling_gpt_bigcode_hf.py:84: error: "__init__" of "LMHeadModelLMHeadMixin" gets multiple values for keyword argument "bias"  [misc]
fms/models/hf/llama/__init__.py:23: error: Skipping analyzing "transformers": module is installed, but missing library stubs or py.typed marker  [import-untyped]
fms/models/hf/gpt_bigcode/__init__.py:5: error: Skipping analyzing "transformers": module is installed, but missing library stubs or py.typed marker  [import-untyped]
fms/models/hf/gpt_bigcode/__init__.py:5: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports
fms/models/hf/gpt_bigcode/__init__.py:45: error: Item "str" of "str | PathLike[Any] | Any" has no attribute "config"  [union-attr]
fms/models/hf/gpt_bigcode/__init__.py:45: error: Item "PathLike[Any]" of "str | PathLike[Any] | Any" has no attribute "config"  [union-attr]
fms/models/hf/gpt_bigcode/__init__.py:46: error: Item "str" of "str | PathLike[Any] | Any" has no attribute "config"  [union-attr]
fms/models/hf/gpt_bigcode/__init__.py:46: error: Item "PathLike[Any]" of "str | PathLike[Any] | Any" has no attribute "config"  [union-attr]
fms/models/hf/gpt_bigcode/__init__.py:47: error: Item "str" of "str | PathLike[Any] | Any" has no attribute "config"  [union-attr]
fms/models/hf/gpt_bigcode/__init__.py:47: error: Item "PathLike[Any]" of "str | PathLike[Any] | Any" has no attribute "config"  [union-attr]
fms/models/hf/gpt_bigcode/__init__.py:48: error: Item "str" of "str | PathLike[Any] | Any" has no attribute "config"  [union-attr]
fms/models/hf/gpt_bigcode/__init__.py:48: error: Item "PathLike[Any]" of "str | PathLike[Any] | Any" has no attribute "config"  [union-attr]
fms/models/hf/gpt_bigcode/__init__.py:49: error: Item "str" of "str | PathLike[Any] | Any" has no attribute "config"  [union-attr]
fms/models/hf/gpt_bigcode/__init__.py:49: error: Item "PathLike[Any]" of "str | PathLike[Any] | Any" has no attribute "config"  [union-attr]
fms/models/hf/gpt_bigcode/__init__.py:50: error: Item "str" of "str | PathLike[Any] | Any" has no attribute "config"  [union-attr]
fms/models/hf/gpt_bigcode/__init__.py:50: error: Item "PathLike[Any]" of "str | PathLike[Any] | Any" has no attribute "config"  [union-attr]
fms/models/hf/gpt_bigcode/__init__.py:52: error: Item "str" of "str | PathLike[Any] | Any" has no attribute "config"  [union-attr]
fms/models/hf/gpt_bigcode/__init__.py:52: error: Item "PathLike[Any]" of "str | PathLike[Any] | Any" has no attribute "config"  [union-attr]
fms/models/hf/gpt_bigcode/__init__.py:55: error: Item "str" of "str | PathLike[Any] | Any" has no attribute "transformer"  [union-attr]
fms/models/hf/gpt_bigcode/__init__.py:55: error: Item "PathLike[Any]" of "str | PathLike[Any] | Any" has no attribute "transformer"  [union-attr]
fms/models/hf/gpt_bigcode/__init__.py:58: error: Item "str" of "str | PathLike[Any] | Any" has no attribute "transformer"  [union-attr]
fms/models/hf/gpt_bigcode/__init__.py:58: error: Item "PathLike[Any]" of "str | PathLike[Any] | Any" has no attribute "transformer"  [union-attr]
fms/models/hf/gpt_bigcode/__init__.py:73: error: Item "str" of "str | PathLike[Any] | Any" has no attribute "lm_head"  [union-attr]
fms/models/hf/gpt_bigcode/__init__.py:73: error: Item "PathLike[Any]" of "str | PathLike[Any] | Any" has no attribute "lm_head"  [union-attr]
fms/models/hf/gpt_bigcode/__init__.py:76: error: Item "str" of "str | PathLike[Any] | Any" has no attribute "config"  [union-attr]
fms/models/hf/gpt_bigcode/__init__.py:76: error: Item "PathLike[Any]" of "str | PathLike[Any] | Any" has no attribute "config"  [union-attr]
fms/models/hf/gpt_bigcode/__init__.py:77: error: Item "str" of "str | PathLike[Any] | Any" has no attribute "config"  [union-attr]
fms/models/hf/gpt_bigcode/__init__.py:77: error: Item "PathLike[Any]" of "str | PathLike[Any] | Any" has no attribute "config"  [union-attr]
fms/models/hf/gpt_bigcode/__init__.py:78: error: Item "str" of "str | PathLike[Any] | Any" has no attribute "config"  [union-attr]
fms/models/hf/gpt_bigcode/__init__.py:78: error: Item "PathLike[Any]" of "str | PathLike[Any] | Any" has no attribute "config"  [union-attr]
fms/models/hf/__init__.py:40: error: List item 0 has incompatible type "type[HFAdaptedGPTBigCodeForCausalLM]"; expected "type[LMHeadModelLMHeadMixin]"  [list-item]
fms/models/hf/__init__.py:40: error: List item 1 has incompatible type "type[HFAdaptedLLaMAForCausalLM]"; expected "type[LMHeadModelLMHeadMixin]"  [list-item]
Found 135 errors in 11 files (checked 44 source files)