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Updated GpuInfo metric, pynvml<12 #3311

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Dec 3, 2024
Merged

Updated GpuInfo metric, pynvml<12 #3311

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46639c6
Updated GpuInfo metric, pynvml<12
vfdev-5 Dec 3, 2024
1d0efe2
Merge branch 'master' into updated-gpuinfo-docs
vfdev-5 Dec 3, 2024
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2 changes: 1 addition & 1 deletion ignite/contrib/engines/common.py
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Expand Up @@ -78,7 +78,7 @@ def setup_common_training_handlers(
lr_scheduler: learning rate scheduler
as native torch LRScheduler or ignite's parameter scheduler.
with_gpu_stats: if True, :class:`~ignite.metrics.GpuInfo` is attached to the
trainer. This requires `pynvml` package to be installed.
trainer. This requires `pynvml<12` package to be installed.
output_names: list of names associated with `update_function` output dictionary.
with_pbars: if True, two progress bars on epochs and optionally on iterations are attached.
Default, True.
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4 changes: 2 additions & 2 deletions ignite/metrics/gpu_info.py
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Expand Up @@ -10,7 +10,7 @@

class GpuInfo(Metric):
"""Provides GPU information: a) used memory percentage, b) gpu utilization percentage values as Metric
on each iterations.
on each iterations. This metric requires `pynvml <https://pypi.org/project/pynvml/>`_ package of version `<12`.
.. Note ::
Expand Down Expand Up @@ -39,7 +39,7 @@ def __init__(self) -> None:
except ImportError:
raise ModuleNotFoundError(
"This contrib module requires pynvml to be installed. "
"Please install it with command: \n pip install pynvml"
"Please install it with command: \n pip install 'pynvml<12'"
)
# Let's check available devices
if not torch.cuda.is_available():
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