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I had the following issue when running test_evo2.py :
python test/test_evo2.py --model_name evo2_1b_base
Fetching 4 files: 100% 4/4 [00:00<00:00, 6681.49it/s]
Found complete file in repo: evo2_1b_base.pt
100% 25/25
Extra keys in state_dict: {'blocks.10.mixer.dense._extra_state', 'blocks.24.mixer.dense._extra_state', 'blocks.3.mixer.dense._extra_state', 'blocks.17.mixer.dense._extra_state', 'unembed.weight'}
custom_miniforge/envs/evo2/lib/python3.11/site-packages/transformer_engine/pytorch/module/base.py:661: 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.
state = torch.load(state, map_location="cuda")
Traceback (most recent call last):
File "EVO2_DIR/evo2/test/test_evo2.py", line 118, in <module>
main()
File "EVO2_DIR/evo2/test/test_evo2.py", line 84, in main
model = Evo2(args.model_name)
^^^^^^^^^^^^^^^^^^^^^
File "custom_miniforge/envs/evo2/lib/python3.11/site-packages/evo2/models.py", line 48, in __init__
self.model = self.load_evo2_model(model_name, config_path)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "custom_miniforge/envs/evo2/lib/python3.11/site-packages/evo2/models.py", line 256, in load_evo2_model
load_checkpoint(model, weights_path)
File "EVO2_DIR/evo2/vortex/vortex/model/utils.py", line 120, in load_checkpoint
model.custom_load_state_dict(state)
File "EVO2_DIR/evo2/vortex/vortex/model/model.py", line 878, in custom_load_state_dict
fixup_fp8_extra_states(self)
File "EVO2_DIR/evo2/vortex/vortex/model/utils.py", line 144, in fixup_fp8_extra_states
fixup_fp8_extra_states(child)
File "EVO2_DIR/evo2/vortex/vortex/model/utils.py", line 144, in fixup_fp8_extra_states
fixup_fp8_extra_states(child)
File "EVO2_DIR/evo2/vortex/vortex/model/utils.py", line 144, in fixup_fp8_extra_states
fixup_fp8_extra_states(child)
File "EVO2_DIR/evo2/vortex/vortex/model/utils.py", line 160, in fixup_fp8_extra_states
module.set_extra_state(module.get_extra_state())
File "custom_miniforge/envs/evo2/lib/python3.11/site-packages/transformer_engine/pytorch/module/base.py", line 657, in set_extra_state
state = pickle.loads(state.detach().cpu().numpy().tobytes())
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "custom_miniforge/envs/evo2/lib/python3.11/site-packages/torch/storage.py", line 520, in _load_from_bytes
return torch.load(io.BytesIO(b), weights_only=False)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
TypeError: fixup_fp8_extra_states.<locals>.overriden_load() got an unexpected keyword argument 'weights_only'
I'm using a L40S GPU with the following configuration:
CUDA Version : 12.4
Driver Version : 550.54.15
cuDNN Version : linux-x86_64-9.7.0.66_cuda12
The text was updated successfully, but these errors were encountered:
Hi!
I had the following issue when running
test_evo2.py
:I'm using a L40S GPU with the following configuration:
The text was updated successfully, but these errors were encountered: