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simply change __init__.py, add onnxruntime with dml support. #3045

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simply change __init__.py, add onnxruntime with dml support. #3045

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1392a45
Update __init__.py
FNsi Oct 28, 2024
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Update __init__.py
FNsi Oct 28, 2024
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Update __init__.py
FNsi Oct 28, 2024
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Update __init__.py
FNsi Oct 28, 2024
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FNsi Oct 29, 2024
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Update __init__.py
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11 changes: 9 additions & 2 deletions backend/src/packages/chaiNNer_onnx/__init__.py
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Original file line number Diff line number Diff line change
Expand Up @@ -2,7 +2,7 @@

from api import KB, MB, Dependency, add_package
from gpu import nvidia
from system import is_arm_mac
from system import is_arm_mac, is_windows

general = "ONNX uses .onnx models to upscale images."
conversion = "It also helps to convert between PyTorch and NCNN."
Expand All @@ -15,7 +15,7 @@
f"{general} {conversion} It is fastest when CUDA is supported. If TensorRT is"
" installed on the system, it can also be configured to use that."
)
inst_hint = f"{general} It does not support AMD GPUs."
inst_hint = f"{general} It does not support AMD GPUs, in linux."


def get_onnx_runtime():
Expand All @@ -28,6 +28,13 @@ def get_onnx_runtime():
import_name="onnxruntime",
extra_index_url="https://aiinfra.pkgs.visualstudio.com/PublicPackages/_packaging/onnxruntime-cuda-12/pypi/simple/",
)
elif is_windows:
return Dependency(
display_name="ONNX Runtime (DirectMl)",
pypi_name="onnxruntime-directml",
version="1.17.1",
size_estimate=15 * MB,
)
else:
return Dependency(
display_name="ONNX Runtime",
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