chore(deps): update auto merged updates #887
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This PR contains the following updates:
==0.4.3
->==0.4.4
==1.0.15
->==1.0.16
Release Notes
dcermak/pytest_container (pytest-container)
v0.4.4
Compare Source
Breaking changes:
Remove intermediate dataclass
runtime._OciRuntimeBase
(gh#238 <https://github.com/dcermak/pytest_container/pull/238>
_):py:class:
~pytest_container.runtime.PodmanRuntime
and:py:class:
~pytest_container.runtime.DockerRuntime
now raise exceptions ifthe runtime is not functional (
gh#238 <https://github.com/dcermak/pytest_container/pull/238>
_)Improvements and new features:
Documentation:
Internal changes:
huggingface/pytorch-image-models (timm)
v1.0.16
Compare Source
June 26, 2025
June 23, 2025
forward_intermediates
and fix some checkpointing bugs. Thanks https://github.com/brianhou0208June 5, 2025
vision_transformer.py
can be loaded into the NaFlexVit model by adding theuse_naflex=True
flag tocreate_model
train.py
andvalidate.py
add the--naflex-loader
arg, must be used with a NaFlexVitpython validate.py /imagenet --amp -j 8 --model vit_base_patch16_224 --model-kwargs use_naflex=True --naflex-loader --naflex-max-seq-len 256
--naflex-train-seq-lens'
argument specifies which sequence lengths to randomly pick from per batch during training--naflex-max-seq-len
argument sets the target sequence length for validation--model-kwargs enable_patch_interpolator=True --naflex-patch-sizes 12 16 24
will enable random patch size selection per-batch w/ interpolation--naflex-loss-scale
arg changes loss scaling mode per batch relative to the batch size,timm
NaFlex loading changes the batch size for each seq lenMay 28, 2025
timm
weightsforward_intermediates()
and some additional fixes thanks to https://github.com/brianhou0208forward_intermediates()
thanks to https://github.com/brianhou0208local-dir:
pretrained schema, can uselocal-dir:/path/to/model/folder
for model name to source model / pretrained cfg & weights Hugging Face Hub models (config.json + weights file) from a local folder.What's Changed
download
argument from torch_kwargs for torchvisionImageNet
class by @ryan-caesar-ramos in https://github.com/huggingface/pytorch-image-models/pull/2486head_dim
reference inAttentionRope
class ofattention.py
by @amorehead in https://github.com/huggingface/pytorch-image-models/pull/2519forward_intermediates()
by @brianhou0208 in https://github.com/huggingface/pytorch-image-models/pull/2501New Contributors
Full Changelog: huggingface/pytorch-image-models@v1.0.15...v1.0.16
Configuration
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