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chore: bump pytorch to 2.6.0 #4575

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merged 3 commits into from
Feb 2, 2025
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chore: bump pytorch to 2.6.0 #4575

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a03a8fb
chore: bump pytorch to 2.6.0
njzjz Jan 31, 2025
179303e
import torch._dynamo before set device
njzjz Jan 31, 2025
8925d3a
always reinstall
njzjz Feb 2, 2025
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2 changes: 1 addition & 1 deletion .devcontainer/download_libtorch.sh
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Expand Up @@ -4,5 +4,5 @@ set -ev
SCRIPT_PATH=$(dirname $(realpath -s $0))
cd ${SCRIPT_PATH}/..

wget https://download.pytorch.org/libtorch/cpu/libtorch-cxx11-abi-shared-with-deps-2.5.0%2Bcpu.zip -O ~/libtorch.zip
wget https://download.pytorch.org/libtorch/cpu/libtorch-cxx11-abi-shared-with-deps-2.6.0%2Bcpu.zip -O ~/libtorch.zip
unzip ~/libtorch.zip
4 changes: 2 additions & 2 deletions .github/workflows/test_cuda.yml
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Expand Up @@ -47,7 +47,7 @@ jobs:
&& sudo apt-get -y install cuda-12-3 libcudnn8=8.9.5.*-1+cuda12.3
if: false # skip as we use nvidia image
- run: python -m pip install -U uv
- run: source/install/uv_with_retry.sh pip install --system "tensorflow~=2.18.0rc2" "torch~=2.5.0" "jax[cuda12]"
- run: source/install/uv_with_retry.sh pip install --system "tensorflow~=2.18.0rc2" "torch~=2.6.0" "jax[cuda12]"
- run: |
export PYTORCH_ROOT=$(python -c 'import torch;print(torch.__path__[0])')
export TENSORFLOW_ROOT=$(python -c 'import importlib,pathlib;print(pathlib.Path(importlib.util.find_spec("tensorflow").origin).parent)')
Expand All @@ -68,7 +68,7 @@ jobs:
run: source/tests/infer/convert-models.sh
- name: Download libtorch
run: |
wget https://download.pytorch.org/libtorch/cu124/libtorch-cxx11-abi-shared-with-deps-2.5.0%2Bcu124.zip -O libtorch.zip
wget https://download.pytorch.org/libtorch/cu124/libtorch-cxx11-abi-shared-with-deps-2.6.0%2Bcu124.zip -O libtorch.zip
unzip libtorch.zip
- run: |
export CMAKE_PREFIX_PATH=$GITHUB_WORKSPACE/libtorch
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2 changes: 1 addition & 1 deletion backend/find_pytorch.py
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Expand Up @@ -116,7 +116,7 @@ def get_pt_requirement(pt_version: str = "") -> dict:
cuda_version = os.environ.get("CUDA_VERSION", "12.2")
if cuda_version == "" or cuda_version in SpecifierSet(">=12,<13"):
# CUDA 12.2, cudnn 9
pt_version = "2.5.0"
pt_version = "2.6.0"
elif cuda_version in SpecifierSet(">=11,<12"):
# CUDA 11.8, cudnn 8
pt_version = "2.3.1"
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1 change: 1 addition & 0 deletions source/tests/pt/__init__.py
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@@ -1,5 +1,6 @@
# SPDX-License-Identifier: LGPL-3.0-or-later
import torch
import torch._dynamo

torch.set_num_threads(1)
torch.set_num_interop_threads(1)
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