running inference error

[bruceisme]

orkspace/code/MPS/inference2.py:22: FutureWarning: You are using torch.load with weights_only=False (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for weights_only will be flipped to True. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via torch.serialization.add_safe_globals. We recommend you start setting weights_only=True for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
model = torch.load(model_ckpt_path)
/opt/conda/envs/mps/lib/python3.9/site-packages/pydantic/_internal/_config.py:269: UserWarning: Valid config keys have changed in V2:

• 'allow_population_by_field_name' has been renamed to 'populate_by_name'
• 'validate_all' has been renamed to 'validate_default'
  warnings.warn(message, UserWarning)
  /opt/conda/envs/mps/lib/python3.9/site-packages/deepspeed/runtime/zero/linear.py:53: FutureWarning: torch.cuda.amp.custom_fwd(args...) is deprecated. Please use torch.amp.custom_fwd(args..., device_type='cuda') instead.
  def forward(ctx, input, weight, bias=None):
  /opt/conda/envs/mps/lib/python3.9/site-packages/deepspeed/runtime/zero/linear.py:79: FutureWarning: torch.cuda.amp.custom_bwd(args...) is deprecated. Please use torch.amp.custom_bwd(args..., device_type='cuda') instead.
  def backward(ctx, grad_output):
  /opt/conda/envs/mps/lib/python3.9/site-packages/pydantic/_internal/fields.py:127: UserWarning: Field "model_persistence_threshold" has conflict with protected namespace "model".

You may be able to resolve this warning by setting model_config['protected_namespaces'] = ().
warnings.warn(
/opt/conda/envs/mps/lib/python3.9/site-packages/pydantic/_internal/_config.py:269: UserWarning: Valid config keys have changed in V2:

• 'validate_all' has been renamed to 'validate_default'
  warnings.warn(message, UserWarning)
  Traceback (most recent call last):
  File "/opt/conda/envs/mps/lib/python3.9/site-packages/transformers/utils/import_utils.py", line 1126, in _get_module
  return importlib.import_module("." + module_name, self.name)
  File "/opt/conda/envs/mps/lib/python3.9/importlib/init.py", line 127, in import_module
  return _bootstrap._gcd_import(name[level:], package, level)
  File "", line 1030, in _gcd_import
  File "", line 1007, in _find_and_load
  File "", line 986, in _find_and_load_unlocked
  File "", line 680, in _load_unlocked
  File "", line 850, in exec_module
  File "", line 228, in _call_with_frames_removed
  File "/opt/conda/envs/mps/lib/python3.9/site-packages/transformers/models/clip/modeling_clip.py", line 27, in
  from ...modeling_utils import PreTrainedModel
  File "/opt/conda/envs/mps/lib/python3.9/site-packages/transformers/modeling_utils.py", line 37, in
  from .deepspeed import deepspeed_config, is_deepspeed_zero3_enabled
  File "/opt/conda/envs/mps/lib/python3.9/site-packages/transformers/deepspeed.py", line 38, in
  from accelerate.utils.deepspeed import HfDeepSpeedConfig as DeepSpeedConfig
  File "/opt/conda/envs/mps/lib/python3.9/site-packages/accelerate/init.py", line 3, in
  from .accelerator import Accelerator
  File "/opt/conda/envs/mps/lib/python3.9/site-packages/accelerate/accelerator.py", line 31, in
  from .checkpointing import load_accelerator_state, load_custom_state, save_accelerator_state, save_custom_state
  File "/opt/conda/envs/mps/lib/python3.9/site-packages/accelerate/checkpointing.py", line 24, in
  from .utils import (
  File "/opt/conda/envs/mps/lib/python3.9/site-packages/accelerate/utils/init.py", line 105, in
  from .launch import (
  File "/opt/conda/envs/mps/lib/python3.9/site-packages/accelerate/utils/launch.py", line 28, in
  from ..utils.other import merge_dicts
  File "/opt/conda/envs/mps/lib/python3.9/site-packages/accelerate/utils/other.py", line 28, in
  from deepspeed import DeepSpeedEngine
  File "/opt/conda/envs/mps/lib/python3.9/site-packages/deepspeed/init.py", line 15, in
  from . import module_inject
  File "/opt/conda/envs/mps/lib/python3.9/site-packages/deepspeed/module_inject/init.py", line 3, in
  from .replace_module import replace_transformer_layer, revert_transformer_layer, ReplaceWithTensorSlicing, GroupQuantizer, generic_injection
  File "/opt/conda/envs/mps/lib/python3.9/site-packages/deepspeed/module_inject/replace_module.py", line 803, in
  from ..pipe import PipelineModule
  File "/opt/conda/envs/mps/lib/python3.9/site-packages/deepspeed/pipe/init.py", line 3, in
  from ..runtime.pipe import PipelineModule, LayerSpec, TiedLayerSpec
  File "/opt/conda/envs/mps/lib/python3.9/site-packages/deepspeed/runtime/pipe/init.py", line 3, in
  from .module import PipelineModule, LayerSpec, TiedLayerSpec
  File "/opt/conda/envs/mps/lib/python3.9/site-packages/deepspeed/runtime/pipe/module.py", line 16, in
  from ..activation_checkpointing import checkpointing
  File "/opt/conda/envs/mps/lib/python3.9/site-packages/deepspeed/runtime/activation_checkpointing/checkpointing.py", line 25, in
  from deepspeed.runtime.config import DeepSpeedConfig
  File "/opt/conda/envs/mps/lib/python3.9/site-packages/deepspeed/runtime/config.py", line 30, in
  from ..monitor.config import get_monitor_config
  File "/opt/conda/envs/mps/lib/python3.9/site-packages/deepspeed/monitor/config.py", line 70, in
  class DeepSpeedMonitorConfig(DeepSpeedConfigModel):
  File "/opt/conda/envs/mps/lib/python3.9/site-packages/deepspeed/monitor/config.py", line 82, in DeepSpeedMonitorConfig
  def check_enabled(cls, values):
  File "/opt/conda/envs/mps/lib/python3.9/site-packages/pydantic/deprecated/class_validators.py", line 222, in root_validator
  return root_validator()(*__args) # type: ignore
  File "/opt/conda/envs/mps/lib/python3.9/site-packages/pydantic/deprecated/class_validators.py", line 228, in root_validator
  raise PydanticUserError(
  pydantic.errors.PydanticUserError: If you use @root_validator with pre=False (the default) you MUST specify skip_on_failure=True. Note that @root_validator is deprecated and should be replaced with @model_validator.

For further information visit https://errors.pydantic.dev/2.3/u/root-validator-pre-skip

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
File "/workspace/code/MPS/inference2.py", line 22, in
model = torch.load(model_ckpt_path)
File "/opt/conda/envs/mps/lib/python3.9/site-packages/torch/serialization.py", line 1097, in load
return _load(
File "/opt/conda/envs/mps/lib/python3.9/site-packages/torch/serialization.py", line 1525, in _load
result = unpickler.load()
File "/opt/conda/envs/mps/lib/python3.9/site-packages/torch/serialization.py", line 1515, in find_class
return super().find_class(mod_name, name)
File "/workspace/code/MPS/trainer/models/clip_model.py", line 2, in
from transformers import CLIPModel as HFCLIPModel
File "", line 1055, in _handle_fromlist
File "/opt/conda/envs/mps/lib/python3.9/site-packages/transformers/utils/import_utils.py", line 1117, in getattr
value = getattr(module, name)
File "/opt/conda/envs/mps/lib/python3.9/site-packages/transformers/utils/import_utils.py", line 1116, in getattr
module = self._get_module(self._class_to_module[name])
File "/opt/conda/envs/mps/lib/python3.9/site-packages/transformers/utils/import_utils.py", line 1128, in _get_module
raise RuntimeError(
RuntimeError: Failed to import transformers.models.clip.modeling_clip because of the following error (look up to see its traceback):
If you use @root_validator with pre=False (the default) you MUST specify skip_on_failure=True. Note that @root_validator is deprecated and should be replaced with @model_validator.

[bruceisme]

Just follow the readme

[ChiehYunChen]

I also encounter the issue and solve it by
pip install --upgrade transformers pydantic