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Santiago Castro bryant1410 @MichiganNLP Ann Arbor, MI, USA https://santi.uy 🇺🇾 CS PhD student @umich, interested in Vision+Language research.

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add pre-commit hooks for convenient formatting checks (#4387) * add pre-commit hooks * ignore yamls in packaging/* * add pre-commit to contributing guide lines * Update CONTRIBUTING.md Co-authored-by: Nicolas Hug <contact@nicolas-hug.com> * remove some hooks * fix docstrings * fix end of files Co-authored-by: Nicolas Hug <contact@nicolas-hug.com>

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rm install_cuda_compatible_cmath (#4388) * rm install_cuda_compatible_cmath * Remove unused script Co-authored-by: Nicolas Hug <nicolashug@fb.com> Co-authored-by: Nicolas Hug <contact@nicolas-hug.com>

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issue openedfacebookresearch/hydra

[Feature Request] Add support for the existing `_target_` function args

🚀 Feature Request

I think it'd be great if, when using _target_, the referenced method or class __init__ function args are automatically supported. By this I mean to treat the arguments (including types, default values, and docstring) from the function/class as if they are arguments specified in a config file (as first-class citizens in some way).

For example, suppose we have this example from the Instantiate objects docs:

optimizer:
  _target_: my_app.Optimizer
  algo: SGD
  lr: 0.01

Maybe this my_app.Optimizer also has an arg called eps with a default value of 1e-8. Then, we should be able to override it from the CLI with optimizer.eps=.... We should be able to somehow get help information for it based on its docstring. And we should be able to also autocomplete based on these.

Motivation

This is very useful when you instantiate something with lots of args. For example, I find it useful for Trainer from PyTorch Lightning, which has a lot of args and default values. It'd be cool to see the default values from the CLI in the help and what they do. It'd be cool to just override the from the CLI without knowing if I declared them or not (I know there's ++ but I think the function/class args should be treated as normal ones). It'd be cool to have CLI autocompletion based on the available Trainer args.

Similarly with other types of classes/functions.

Pitch

The solution I imagine is to somehow parse the available args and docstring from any place in which a _target_ attribute is used, and treat them as if they are common arguments from the config file.

I have considered as an alternative to declare myself all the arguments a class/function declares. However, this is not maintainable as I have to constantly update them, involves a lot of code/docs repetition, and bloats the config files.

Another alternative when overriding is to just use ++ and check the class/function documentation when using certain configs, knowing in advance how they map to existing ones. This is however far from ideal as mentioned before. It'd be good if any arg worked seamlessly.

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F-G Fernandez

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Added typing annotations to models/segmentation (#4227) * style: Added typing annotations to segmentation/_utils * style: Added typing annotations to segmentation/segmentation * style: Added typing annotations to remaining segmentation models * style: Fixed typing of DeepLab * style: Fixed typing * fix: Fixed typing annotations & default values * Fixing python_type_check

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F-G Fernandez

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Added typing annotations to models/video (#4229) * style: Added typing to models/video * style: Fixed typing * style: Fixed typing * style: Fixed typing * refactor: Removed default value for stem * docs: Fixed docstring of VideoResNet * style: Refactored typing * docs: Fixed docstring * style: Fixed typing * docs: Specified docstring * typing: Fixed tying * docs: Fixed docstring * Undoing change.

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Philip Meier

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Vasilis Vryniotis

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[FBcode->GH] Port quantize_val and dequantize_val into torchvision to avoid at::native and android xplat incompatibility (#4311) Summary: This diff ports `quantize_val` and `dequantize_val` from at::native to torchvision because native kernels are incompatible with android xplat builds (see D30234056). This should only be temporary until we find a way to move those functions out of at::native, or until the at::native / android incompatibility disappears. Reviewed By: fmassa Differential Revision: D30393619 fbshipit-source-id: 18b7b1b349ad9a24088a120e23da7535f7fa7ddc Co-authored-by: Nicolas Hug <nicolashug@fb.com>

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[FBcode->GH] Moving logging on base class. (#4319)

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Fix broken clang format test. (#4320)

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Add EfficientNet Architecture in TorchVision (#4293) * Adding code skeleton * Adding MBConvConfig. * Extend SqueezeExcitation to support custom min_value and activation. * Implement MBConv. * Replace stochastic_depth with operator. * Adding the rest of the EfficientNet implementation * Update torchvision/models/efficientnet.py * Replacing 1st activation of SE with SiLU. * Adding efficientnet_b3. * Replace mobilenetv3 assets with custom. * Switch to standard sigmoid and reconfiguring BN. * Reconfiguration of efficientnet. * Add repr * Add weights. * Update weights. * Adding B5-B7 weights. * Update docs and hubconf. * Fix doc link. * Fix typo on comment.

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Make get_image_size and get_image_num_channels public. (#4321)

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Do not disable profiling executor in ONNX tests (#4324) [ghstack-poisoned] Co-authored-by: Bert Maher <bertrand@fb.com>

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Update UCF101 docstring (#4275) * Update UCF101 docstring * addressing @NicolasHugs comments * Fixed flake8 error Co-authored-by: Prabhat Roy <prabhatroy@fb.com>

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New issue templates (#4299)

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Added typing annotations to io/__init__ (#4224) * style: Added typing annotations * Specified types for iter and seek. Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com> Co-authored-by: Vasilis Vryniotis <vvryniotis@fb.com>

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Add typing annotations to models/quantization (#4232) * fix * add typings * fixup some more types * Type more * remove mypy ignore * add missing typings * fix a few mypy errors * fix mypy errors * fix mypy * ignore types * fixup annotation * fix remaining types * cleanup #TODO comments Co-authored-by: Philip Meier <github.pmeier@posteo.de> Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

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Some typo fixes in transforms.rst (#4337)

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Refactor AutoAugment to support more augmentations. (#4338)

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Fix typo in plot_visualization_utils.py (#4340)

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Update sphinx to 3.5.4 (#4318)

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Fix docstring of Caltech101 dataset (#4342)

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Fixed a couple of typos and removed unnecessary bracket (#4345) * Fixed a couple of typos and removed unnecessary bracket * Fixed clang error

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Camilo De La Torre

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Explicitely store a distance value that is reused (#4341) * Explicitely store a distance value that is reused I don't see a reason to calculate the value twice for each distance. Knowing that this code is going to be called at every epoch and that probably there is not a compiler that optimizes this (+ also code clarity), I think is best to store the value for x and y. * Update torchvision/models/detection/_utils.py Co-authored-by: Nicolas Hug <contact@nicolas-hug.com> * removing spaces Co-authored-by: Nicolas Hug <contact@nicolas-hug.com> Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

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PR opened pytorch/vision

Use a pre-compiled regex to check video DivX build

May give an edge when reading video during a data loading, as there are potentially 2 regex compilations that are saved and some memory in saving some unnecessary groups.

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pull request commentpytorch/vision

Fix read timestamps from packets

Okay, this should be good to go. There're 2 places in the code in which codec_context is used: when reading a video stream, and it's checked directly, and when checking the frame timestamps, where the error is gonna be reported by AV when trying to decode the video.

My understanding is that the error occurs in general when a codec is missing. I can reproduce it locally when I use AV from Conda (conda-forge), which in turn uses ffmpeg from conda-forge and doesn't have the codec AV1 and I use a video with such codec. I couldn't reproduce it in Google Colab because I couldn't successfully set up Conda. But you can run locally:

conda create -yn test python=3.8 conda-forge::ffmpeg conda-forge::av pytorch::pytorch pytorch::torchvision
conda activate test
wget "https://github.com/SPBTV/video_av1_samples/blob/master/spbtv_sample_bipbop_av1_960x540_25fps.mp4?raw=true" -O video.mp4

Then in Python:

import torchvision.io.video
v = torchvision.io.video.read_video("video.mp4")

I get:

Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "***/lib/python3.8/site-packages/torchvision/io/video.py", line 290, in read_video
    video_frames = _read_from_stream(
  File "***/lib/python3.8/site-packages/torchvision/io/video.py", line 169, in _read_from_stream
    extradata = stream.codec_context.extradata
AttributeError: 'NoneType' object has no attribute 'extradata'
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Check `codec_context` when reading a video stream

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Add checkpoints used for preemption. (#3789)

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Pin JPEG version to resolve the size_t issue on windows (#3787)

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Add auto-augment introduced transforms in docs (#3793) * Add auto-augment introduced transforms in docs. * Adding examples in Gallery. * Make posterize more extreme.

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Remove "Show link to docs" GH Action (#3796)

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[android][circle_ci] android build job (#3679) Co-authored-by: Francisco Massa <fvsmassa@gmail.com>

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vfdev

commit sha b56f17ae1ae8a5d08067c7f7444af21fb3b59ca6

Added antialias option to transforms.functional.resize (#3761) * WIP Added antialias option to transforms.functional.resize * Updates according to the review * Excluded these C++ files for iOS build * Added support for mixed downsampling/upsampling * Fixed heap overflow caused by explicit loop unrolling * Applied PR review suggestions - used pytest parametrize instead unittest - cast to scalar_t ptr - removed interpolate aa files for ios/android keeping original cmake version

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Nicolas Hug

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Convert "tensor transforms" notebook into a sphinx-gallery example (#3780)

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Nicolas Hug

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Fix wheel relocation issues on OSX (#3794) * hello * Try with DYLD_FALLBACK_LIBRARY_PATH Co-authored-by: Edgar Andrés Margffoy Tuay <andfoy@gmail.com>

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Nikita Shulga

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Remove cu101 build (#3809)

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remove comment (#3807)

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Added VisionTestApp for testing vision ops in iOS (#3629) (#3806) Co-authored-by: Yuchen Huang <hyc@fb.com>

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Zhiqiang Wang

commit sha 48441cc5b434ccbc1c088d7cd72e3b86e8afcfdd

Refactor grid default boxes with torch meshgrid (#3799) * Refactor grid default boxes with torch.meshgrid * Fix torch jit tracing * Only doing the list multiplication once Co-authored-by: Francisco Massa <fvsmassa@gmail.com> * Make grid_default_box private as suggested Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com> * Replace list multiplication with torch.repeat * Move the clipping into _grid_default_boxes to accelerate Co-authored-by: Francisco Massa <fvsmassa@gmail.com> Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

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Fix inconsistent version pinning across yaml files (#3790) * Fix inconsistent version pinning across yaml files. * Pin pillow to >=5.3.0 * Pin pillow>=5.3.0 everywhere

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Support for decoding jpegs on GPU with nvjpeg (#3792) Co-authored-by: James Thewlis <james@unitary.ai>

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Convert "Visualization utilities" notebook into a sphinx-gallery example (#3774)

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Vasilis Vryniotis

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Add SSDlite architecture with MobileNetV3 backbones (#3757) * Partial implementation of SSDlite. * Add normal init and BN hyperparams. * Refactor to keep JIT happy * Completed SSDlite. * Fix lint * Update todos * Add expected file in repo. * Use C4 expansion instead of C4 output. * Change scales formula for Default Boxes. * Add cosine annealing on trainer. * Make T_max count epochs. * Fix test and handle corner-case. * Add support of support width_mult * Add ssdlite presets. * Change ReLU6, [-1,1] rescaling, backbone init & no pretraining. * Use _reduced_tail=True. * Add sync BN support. * Adding the best config along with its weights and documentation. * Make mean/std configurable. * Fix not implemented for half exception

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Aditya Oke

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Fix io docs and expose `ImageReadMode` in `torchvision.io` (#3812) * Fix io imports and expose methods * fix fmt Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

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Cerrypicking cleanups for SSD and SSDlite. (#3818)

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Added bicubic support for interpolation with AA (#3810) * Added support for bicubic mode with AA * Updated comment in the test

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Prabhat Roy

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Added dataset download support in fbcode (#3823) (#3826) Summary: Pull Request resolved: https://github.com/pytorch/vision/pull/3823 Uploaded FashionMNIST dataset to [manifold](https://www.internalfb.com/intern/network/manifold/?bucket=torchvision&path=tree%2Fdatasets) bucket `torchvision`. Any new dataset that needs to be added could be uploaded under `tree/datasets/<dataset_name>`. Reviewed By: datumbox Differential Revision: D28358470 fbshipit-source-id: 6f2282d3f1ce4b1416e962de8fb132896d4b2d76

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Fix typo in docstring of `SignatureArguments.add_dataclass_arguments` (#74)

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Docstrings no longer supported for python 3.5.

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Fix error when using builtins.type type hint (Issue #76) (#77) - Add tests for builtins.type type hint - Fix error when using builtins.type type hint

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Fixed instantiate_classes not working for subcommand keys #70. (#78)

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- save now supports saving to an fsspec path #86. - link_arguments not working for subcommands #82.

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Fixed repeated instantiation of dataclasses PyTorchLightning/pytorch-lightning#9207.

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Fixed add_subclass_arguments with required=False failing when not given #83.

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Mauricio Villegas

commit sha cdd0ea5bc28a261062c3e16ee49e68941afebc73

- Don't discard ``init_args`` with non-changing ``--*.class_path`` argument. - Don't ignore ``KeyError`` in call to instantiate_classes #81. - Fixed optional subcommands fail with a KeyError #68.

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Mauricio Villegas

commit sha bdc7635685220fa7b108c06626ae1902bad84fc2

- Fixed conflicting namespace for subclass key in subcommand. - Show warning when --*.class_path discards previous init_args. - Trigger error when parse_args called with non-string value.

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Mauricio Villegas

commit sha 95ad57db616bc7d1db9d319270655840e09360af

Fixed instantiate_classes not working for subcommand keys #70. (#78)

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Mauricio Villegas

commit sha 45996d88e9026e345fd10d4f6bf46859cc243ca3

- Proper file not found message from _ActionConfigLoad #64. - Fixed parse_path not parsing inner config files. - ActionParser accepts both title and help, title having preference. - Multiple subcommand settings allowed if explicit subcommand given.

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Mauricio Villegas

commit sha ec8ed0562a7647a431abd433d774d24fa2afe7b3

Prepare for release v3.18.0

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Mauricio Villegas

commit sha 2f307ee53954c4222731872772b355bf066a8769

Bump version: 3.17.0 → 3.18.0

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Mauricio Villegas

commit sha 6530146dfab21a636d736ecdbc7afffda8fa4728

Multiple subcommand settings without explicit subcommand is now a warning instead of exception.

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Mauricio Villegas

commit sha df466645f64a4fdd5983197ca6fe28ca38126d04

Fixed multifile save not working correctly for subclasses #63.

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Mauricio Villegas

commit sha e90a22bdd582d5a6a9daa5557de56560b94d6351

- save now supports saving to an fsspec path #86. - link_arguments not working for subcommands #82.

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Mauricio Villegas

commit sha 09f2ffde1a502e619dcdb138c39e1d46cf54854a

Fix problems with multiple subcommand settings #88

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Mauricio Villegas

commit sha 4d60ccdcfe719183ee7f4ff8ad96f85f154634a9

Prepare for release v3.19.0

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Mauricio Villegas

commit sha 7ca8f7321297c6173f9e96ed52ea614738bf8d1e

Bump version: 3.18.0 → 3.19.0

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Mauricio Villegas

commit sha a7d79ffb216e15ea00ff3461e2b4d2f7217cbdf5

Fixed repeated instantiation of dataclasses PyTorchLightning/pytorch-lightning#9207.

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Mauricio Villegas

commit sha 9a0366ac56929926d6ee06d8733fb6dad01ea9dd

CHANGELOG auto update on bump version.

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Mauricio Villegas

commit sha f06fff09d206f71e7383e819a7ef466ca6bc76dc

Bump version: 3.19.0 → 3.19.1

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Mauricio Villegas

commit sha 5c9c9a242d89d9694b65c19f90ce3f54ec66d719

Fixed add_subclass_arguments with required=False failing when not given #83.

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Mauricio Villegas

commit sha 699ecab03129bfc6e5657269afc1cba03bc61f21

Bump version: 3.19.1 → 3.19.2

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pull request commentallenai/cached_path

Use tqdm with 1024 instead of 1000 unit scale

@bryant1410 Hey, PR looks good. I think running black should take care of the failing style check.

Done

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Santiago Castro

commit sha 06be5d3514def1b89dd0d1a20b611641957dd0f8

Add changelog

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Santiago Castro

commit sha 9c5ebedcf199a29f65e79126ff13087905d076fc

Fix style

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PR opened allenai/cached_path

Use tqdm with 1024 instead of 1000 unit scale

Change the tqdm progress bar so that the scales are multiple of 1024 instead of 1000. Also use the unit "iB" as in "GiB" to make it unambiguous for the user (see Binary prefix).

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Santiago Castro

commit sha 8c82b28f7b56c497e9a2d162ee2a4be2f4d3fa25

Use tqdm with 1024 instead of 1000 unit scale

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startedallenai/cached_path

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create barnchbryant1410/cached_path-1

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A file utility for accessing both local and remote files through a unified interface.

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