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Update hardcoded WIN-CUDA from 11.1 with 11.3 (#5451) #5467

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Merged
merged 1 commit into from
Feb 24, 2022
Merged

Update hardcoded WIN-CUDA from 11.1 with 11.3 (#5451) #5467

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2 changes: 1 addition & 1 deletion .circleci/config.yml
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2 changes: 1 addition & 1 deletion .circleci/config.yml.in
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Expand Up @@ -816,7 +816,7 @@ jobs:
executor:
name: windows-gpu
environment:
CUDA_VERSION: "11.1"
CUDA_VERSION: "11.3"
PYTHON_VERSION: << parameters.python_version >>
steps:
- checkout
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3 changes: 2 additions & 1 deletion .circleci/unittest/windows/scripts/environment.yml
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Expand Up @@ -9,10 +9,11 @@ dependencies:
- libpng
- jpeg
- ca-certificates
- h5py
- hdf5
- pip:
- future
- pillow >=5.3.0, !=8.3.*
- scipy
- av
- dataclasses
- h5py
2 changes: 1 addition & 1 deletion .circleci/unittest/windows/scripts/install.sh
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Expand Up @@ -28,7 +28,7 @@ else
fi

printf "Installing PyTorch with %s\n" "${cudatoolkit}"
conda install -y -c "pytorch-${UPLOAD_CHANNEL}" -c conda-forge "pytorch-${UPLOAD_CHANNEL}"::pytorch[build="*${version}*"] "${cudatoolkit}" pytest
conda install -y -c "pytorch-${UPLOAD_CHANNEL}" -c nvidia "pytorch-${UPLOAD_CHANNEL}"::pytorch[build="*${version}*"] "${cudatoolkit}" pytest

torch_cuda=$(python -c "import torch; print(torch.cuda.is_available())")
echo torch.cuda.is_available is $torch_cuda
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12 changes: 12 additions & 0 deletions test/test_transforms_tensor.py
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@@ -1,4 +1,5 @@
import os
import sys

import numpy as np
import pytest
Expand Down Expand Up @@ -927,6 +928,17 @@ def test_random_apply(device):
)
@pytest.mark.parametrize("channels", [1, 3])
def test_gaussian_blur(device, channels, meth_kwargs):
if all(
[
device == "cuda",
channels == 1,
meth_kwargs["kernel_size"] in [23, [23]],
torch.version.cuda == "11.3",
sys.platform in ("win32", "cygwin"),
]
):
pytest.skip("Fails on Windows, see https://github.com/pytorch/vision/issues/5464")

tol = 1.0 + 1e-10
torch.manual_seed(12)
_test_class_op(
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