Project-MONAI / Project-MONAI/MONAI

DeprecationWarning when import monai

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bug
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Python
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Description

/usr/local/lib/python3.10/dist-packages/ignite/handlers/checkpoint.py:16: DeprecationWarning: `TorchScript` support for functional optimizers is deprecated and will be removed in a future PyTorch release. Consider using the `torch.compile` optimizer instead.
  from torch.distributed.optim import ZeroRedundancyOptimizer
/usr/local/lib/python3.10/dist-packages/modelopt/torch/quantization/tensor_quant.py:92: FutureWarning: `torch.library.impl_abstract` was renamed to `torch.library.register_fake`. Please use that instead; we will remove `torch.library.impl_abstract` in a future version of PyTorch.
  scaled_e4m3_abstract = torch.library.impl_abstract("trt::quantize_fp8")(
WARNING:py.warnings:`np.bool8` is a deprecated alias for `np.bool_`.  (Deprecated NumPy 1.24)

WARNING:py.warnings:`np.object0` is a deprecated alias for ``np.object0` is a deprecated alias for `np.object_`. `object` can be used instead.  (Deprecated NumPy 1.24)`.  (Deprecated NumPy 1.24)

WARNING:py.warnings:`np.int0` is a deprecated alias for `np.intp`.  (Deprecated NumPy 1.24)

WARNING:py.warnings:`np.uint0` is a deprecated alias for `np.uintp`.  (Deprecated NumPy 1.24)

WARNING:py.warnings:`np.void0` is a deprecated alias for `np.void`.  (Deprecated NumPy 1.24)

WARNING:py.warnings:`np.bytes0` is a deprecated alias for `np.bytes_`.  (Deprecated NumPy 1.24)

WARNING:py.warnings:`np.str0` is a deprecated alias for `np.str_`.  (Deprecated NumPy 1.24)

WARNING:py.warnings:Implicitly cleaning up <TemporaryDirectory '/tmp/tmpwhzwfrqi'>

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Research direction

Reproduce the warning output by running the reported import monai entry point in the Python 3.10 environment. Trace the listed warnings from ignite/handlers/checkpoint.py, modelopt/torch/quantization/tensor_quant.py, and the NumPy aliases to determine which are caused by MONAI's import path; no repository file or test is named, and done means resolving or clearly isolating the reported warnings.

Written by the indexing model from the issue text.

Assessment

Tech stack
numpy, python, pytorch
Domain
machine-learning
Issue type
Bug
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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