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kory committed Feb 22, 2024
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5 changes: 5 additions & 0 deletions .coveragerc
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[run]
omit = */test_*,*/test,*/test/*,build/*,src/customer/*,/private/*,/tmp/*

[report]
ignore_errors = True
9 changes: 9 additions & 0 deletions .flake8
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[flake8]
ignore = E501,W503,E203,E266,E265,F811
# E501 line too long
# W503 clang-formatter can produce line break before binary operator
# E203 False positive "whitespaces before :" especially when slicing list, arrays etc.
# E266 Too many leading '#' for block comment
# E265 Block comment should start with '# '
# F811 A module has been imported twice, but seen when importing functions for fixtures in pytest files.
exclude = **/*_pb2.py
3 changes: 3 additions & 0 deletions .isort.cfg
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[settings]
profile=black
known_first_party=qai_hub_models
57 changes: 57 additions & 0 deletions .pre-commit-config.yaml
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# exclude:
# * third_party folders
# * CloudFormation templates don't pass the yaml-check hook (a known issue)

exclude: |
(?x)(
/build/
)
repos:
- repo: https://github.com/pre-commit/pre-commit-hooks
rev: v4.1.0
hooks:
- id: check-yaml
args: [--allow-multiple-documents]
- id: trailing-whitespace
exclude: '\.diff$'
- id: check-added-large-files
args: ['--maxkb=1024']
- id: check-merge-conflict
- id: detect-aws-credentials
args: [--allow-missing-credentials]
- id: end-of-file-fixer
exclude: |
(?x)(
\.diff$
)
- id: fix-byte-order-marker
- repo: https://github.com/rhysd/actionlint
rev: v1.6.26
hooks:
- id: actionlint
- repo: https://github.com/shellcheck-py/shellcheck-py
rev: v0.9.0.6
hooks:
- id: shellcheck
- repo: https://github.com/pycqa/isort
rev: 5.12.0
hooks:
- id: isort
args: ["--filter-files"]
- repo: https://github.com/psf/black
rev: 22.1.0
hooks:
- id: black
additional_dependencies: ['click==8.0.4']
- repo: https://github.com/pycqa/flake8
rev: 6.1.0
hooks:
- id: flake8
- repo: local
hooks:
- id: mypy
name: mypy
files: \.(py|pyi|ipynb|proto|fbs)$
entry: scripts/util/run_mypy.sh
language: system
33 changes: 33 additions & 0 deletions .shellcheckrc
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## How to update these rules
##
## From repo root, `pre-commit run -a shellcheck` to run shellcheck across all files in the repo. By default, the commit hook
## will only run on your patch. However, CI runs it across all files, so if you're going to touch this file, I
## recommend forcing it to run.
##
## To run on and fix a specific file, run:
## shellcheck -x -f diff {filename} | apply
##

external-sources=true

## Issue 7533: [shellcheck] Explore miscellaneous checks
disable=SC2003 # expr is antiquated. Consider rewriting this using `$((..))`, `${}` or `[[ ]]`.
disable=SC2005 # Useless `echo`? Instead of `echo $(cmd)`, just use `cmd`
disable=SC2012 # Use `find` instead of `ls` to better handle non-alphanumeric filenames.
disable=SC2116 # Useless echo? Instead of `cmd $(echo foo)`, just use `cmd foo`.
disable=SC2155 # Declare and assign separately to avoid masking return values.
disable=SC2166 # Prefer `[ p ] && [ q ]` as `[ p -a q ]` is not well defined.


## things we probably don't care about ever fixing.

disable=SC1083 # This `{`/`}` is literal. Check if `;` is missing or quote the expression.

disable=SC2001 # See if you can use `${variable//search/replace}` instead.
disable=SC2064 # Use single quotes, otherwise this expands now rather than when signalled.
disable=SC2129 # Consider using `{ cmd1; cmd2; } >> file` instead of individual redirects.
disable=SC2143 # Use `grep -q` instead of comparing output with `[ -n .. ]`.
disable=SC2148 # Tips depend on target shell and yours is unknown. Add a shebang.
disable=SC2162 # `read` without `-r` will mangle backslashes.
disable=SC2164 # Use `cd ... || exit` in case `cd` fails.
disable=SC2181 # Check exit code directly with e.g. `if mycmd;`, not indirectly with `$?`.
11 changes: 11 additions & 0 deletions LICENSE
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Copyright 2024 Qualcomm® Technologies, Inc.

Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:

1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.

2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.

3. Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.

THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS “AS IS” AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
78 changes: 78 additions & 0 deletions mypy.ini
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[mypy]
# https://mypy.readthedocs.io/en/stable/config_file.html#import-discovery
exclude = "qai_hub_models/models"

[mypy-huggingface_hub.*]
ignore_missing_imports = True

[mypy-onnx.*]
ignore_missing_imports = True

[mypy-onnxsim.*]
ignore_missing_imports = True

[mypy-onnxruntime.*]
ignore_missing_imports = True

[mypy-pytimeparse.*]
ignore_missing_imports = True

[mypy-skimage.*]
ignore_missing_imports = True

[mypy-setuptools.*]
ignore_missing_imports = True

[mypy-tensorflow.*]
ignore_missing_imports = True

[mypy-torchvision.*]
ignore_missing_imports = True

[mypy-transformers.*]
ignore_missing_imports = True

[mypy-tqdm.*]
ignore_missing_imports = True

[mypy-tap.*]
ignore_missing_imports = True

[mypy-h5py.*]
ignore_missing_imports = True

[mypy-flatbuffers.*]
ignore_missing_imports = True

[mypy-soundfile.*]
ignore_missing_imports = True

[mypy-datasets.*]
ignore_missing_imports = True

[mypy-keras.*]
ignore_missing_imports = True

[mypy-rangefilter.filters.*]
ignore_missing_imports = True

[mypy-schema.*]
ignore_missing_imports = True

[mypy-gdown.*]
ignore_missing_imports = True

[mypy-aimet_torch.*]
ignore_missing_imports = True

[mypy-boto3.*]
ignore_missing_imports = True

[mypy-botocore.*]
ignore_missing_imports = True

[mypy-ruamel.*]
ignore_missing_imports = True

[mypy-qai_hub_models.models.*]
ignore_errors = true
26 changes: 26 additions & 0 deletions pyrightconfig.json
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{
"exclude": [
"**/.mypy_cache",
"**/.pytest_cache",
"**/__pycache__",
"**/node_modules",
"build/tungsten",
"src/public/staging_python/qai_hub_staging",
"src/tungsten",
"src/www/onnx-optimizer/third_party",
"src/www/onnx-simplifier/third_party",
],

"extraPaths": [
"./build/proto"
],

"reportMissingModuleSource": "none",
"reportMissingImports": true,
"reportMissingTypeStubs": false,
"reportShadowedImports": false,
"verboseOutput": false,

"venvPath": ".",
"venv": "qaism-dev"
}
16 changes: 16 additions & 0 deletions pytest.ini
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[pytest]
testpaths = qai_hub_models
norecursedirs = build
python_files = tests.py test_*.py test.py
filterwarnings =
ignore::DeprecationWarning:coremltools.*:
ignore::DeprecationWarning:torch.*:
ignore::DeprecationWarning:torchvision.*:
ignore::DeprecationWarning:tensorflow.*:
ignore::DeprecationWarning:tensorflow-macos.*:
ignore::DeprecationWarning:tensorflow-metal.*:
ignore::DeprecationWarning:tensorflow-probability.*:
markers =
serial: test must not be run in parallel
slow: marks tests as slow
slow_cloud: marks test as slow and cloud-dependent
Empty file added qai_hub_models/__init__.py
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1 change: 1 addition & 0 deletions qai_hub_models/_version.py
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__version__ = "0.2.7"
12 changes: 12 additions & 0 deletions qai_hub_models/asset_bases.yaml
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store_url: https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models
web_asset_folder: models/{model_id}/web-assets
static_web_banner_filename: banner.png
animated_web_banner_filename: banner.mp4
model_asset_folder: models/{model_id}/v{version}
dataset_asset_folder: datasets/{dataset_id}/v{version}
repo_url: https://github.com/quic/ai-hub-models/blob/main
qaihm_repo: qai_hub_models/models/{model_id}
example_use: qai_hub_models/models/{model_id}#example--usage
huggingface_path: qualcomm/{model_name}
models_website_url: https://aihub.qualcomm.com
models_website_relative_path: models/{model_id}
4 changes: 4 additions & 0 deletions qai_hub_models/conftest.py
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def pytest_configure(config):
config.addinivalue_line("markers", "compile: Run compile tests.")
config.addinivalue_line("markers", "profile: Run profile tests.")
config.addinivalue_line("markers", "inference: Run inference tests.")
Empty file.
124 changes: 124 additions & 0 deletions qai_hub_models/datasets/bsd300.py
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from __future__ import annotations

import os
from typing import Tuple

import numpy as np
import torch
from PIL import Image

from qai_hub_models.datasets.common import BaseDataset
from qai_hub_models.utils.asset_loaders import CachedWebDatasetAsset

BSD300_URL = (
"https://www2.eecs.berkeley.edu/Research/Projects/CS/vision/bsds/BSDS300-images.tgz"
)
BSD300_FOLDER_NAME = "BSDS300"
BSD300_VERSION = 1
BSD300_ASSET = CachedWebDatasetAsset(
BSD300_URL, BSD300_FOLDER_NAME, BSD300_VERSION, "BSDS300.tgz"
)
DATASET_LENGTH = 200


class BSD300Dataset(BaseDataset):
"""
BSD300 published here: https://www2.eecs.berkeley.edu/Research/Projects/CS/vision/bsds/
"""

def __init__(self, scaling_factor=4):
self.bsd_path = BSD300_ASSET.path(extracted=True)
self.images_path = os.path.join(self.bsd_path, "images/train")
BaseDataset.__init__(self, self.bsd_path)
self.scaling_factor = scaling_factor

def _validate_data(self) -> bool:
images_path = os.path.join(self.dataset_path, "images/train")

# Check image path exists
if not os.path.exists(images_path):
return False

# Ensure the correct number of images are there
files = os.listdir(images_path)
images = [f for f in files if ".jpg" in f]
if len(images) != DATASET_LENGTH:
return False

return True

def _prepare_data(self):
# Rename images to be more friendly to enumeration
directory = os.path.join(self.dataset_path, "images/train")
files = os.listdir(directory)
for i, filename in enumerate(files):
if filename.endswith(".jpg"):
# Open the image and convert it to png
try:
with Image.open(os.path.join(directory, filename)) as img:
img.save(os.path.join(directory, f"img_{i + 1:03d}_HR.jpg"))
# delete the old image
os.remove(os.path.join(directory, filename))
except ValueError:
print(f"File {filename} does not exist!")

def __len__(self):
return DATASET_LENGTH

def __getitem__(self, item) -> Tuple[torch.Tensor, torch.Tensor]:
# We use the super resolution GT-and-test image preparation from AIMET zoo:
# https://github.com/quic/aimet-model-zoo/blob/d09d2b0404d10f71a7640a87e9d5e5257b028802/aimet_zoo_torch/quicksrnet/dataloader/utils.py#L51

img = np.asarray(
Image.open(os.path.join(self.images_path, f"img_{item + 1:03d}_HR.jpg"))
)
height, width = img.shape[0:2]

# If portrait, transpose to landscape so that all tensors are equal size
if height > width:
img = np.transpose(img, (1, 0, 2))
height, width = img.shape[0:2]

# Take the largest possible center-crop of it such that its dimensions are perfectly divisible by the scaling factor
x_remainder = width % (
2 * self.scaling_factor
if self.scaling_factor == 1.5
else self.scaling_factor
)
y_remainder = height % (
2 * self.scaling_factor
if self.scaling_factor == 1.5
else self.scaling_factor
)
left = int(x_remainder // 2)
top = int(y_remainder // 2)
right = int(left + (width - x_remainder))
bottom = int(top + (height - y_remainder))
hr_img = img[top:bottom, left:right]

hr_height, hr_width = hr_img.shape[0:2]

hr_img = np.array(hr_img, dtype="uint8")
new_size = (int(width / self.scaling_factor), int(height / self.scaling_factor))
lr_img = np.asarray(Image.fromarray(hr_img).resize(new_size))
lr_img = np.clip(lr_img, 0.0, 255.0).astype(np.uint8)

lr_height, lr_width = lr_img.shape[0:2]

# Sanity check
assert (
hr_width == lr_width * self.scaling_factor
and hr_height == lr_height * self.scaling_factor
)

lr_img_tensor = torch.from_numpy(lr_img.transpose((2, 0, 1))).contiguous()
lr_img_tensor = lr_img_tensor.to(dtype=torch.float32).div(255)

hr_img_tensor = torch.from_numpy(hr_img.transpose((2, 0, 1))).contiguous()
hr_img_tensor = hr_img_tensor.to(dtype=torch.float32).div(255)

return lr_img_tensor, hr_img_tensor

def _download_data(self) -> None:
BSD300_ASSET.fetch(extract=True)
self._prepare_data()
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