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2 changes: 1 addition & 1 deletion README.md
Original file line number Diff line number Diff line change
Expand Up @@ -116,7 +116,7 @@ torch.jit.save(trt_ts_module, "trt_torchscript_module.ts") # save the TRT embedd
These are the following dependencies used to verify the testcases. Torch-TensorRT can work with other versions, but the tests are not guaranteed to pass.

- Bazel 6.2.1
- Libtorch 2.1.0
- Libtorch 2.1.1
- CUDA 12.1
- cuDNN 8.9.5
- TensorRT 8.6.1
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4 changes: 2 additions & 2 deletions WORKSPACE
Original file line number Diff line number Diff line change
Expand Up @@ -54,14 +54,14 @@ http_archive(
name = "libtorch",
build_file = "@//third_party/libtorch:BUILD",
strip_prefix = "libtorch",
urls = ["https://download.pytorch.org/libtorch/cu121/libtorch-cxx11-abi-shared-with-deps-2.1.0%2Bcu121.zip"],
urls = ["https://download.pytorch.org/libtorch/cu121/libtorch-cxx11-abi-shared-with-deps-2.1.1%2Bcu121.zip"],
)

http_archive(
name = "libtorch_pre_cxx11_abi",
build_file = "@//third_party/libtorch:BUILD",
strip_prefix = "libtorch",
urls = ["https://download.pytorch.org/libtorch/cu121/libtorch-shared-with-deps-2.1.0%2Bcu121.zip"],
urls = ["https://download.pytorch.org/libtorch/cu121/libtorch-shared-with-deps-2.1.1%2Bcu121.zip"],
)

# Download these tarballs manually from the NVIDIA website
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4 changes: 2 additions & 2 deletions py/requirements.txt
Original file line number Diff line number Diff line change
@@ -1,8 +1,8 @@
numpy
packaging
pybind11==2.6.2
torch==2.1.0
torchvision==0.16.0
torch==2.1.1
torchvision==0.16.1
--extra-index-url https://pypi.ngc.nvidia.com
tensorrt==8.6.1
pyyaml