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ci: Torch nightly version upgrade to 2.4.0 #2704

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Merged
merged 1 commit into from
Mar 22, 2024
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ci: Torch nightly version upgrade to 2.4.0 #2704

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2 changes: 1 addition & 1 deletion README.md
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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 5.2.0
- Libtorch 2.3.0.dev (latest nightly) (built with CUDA 12.1)
- Libtorch 2.4.0.dev (latest nightly) (built with CUDA 12.1)
- CUDA 12.1
- cuDNN 8.9.5
- TensorRT 8.6.1
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2 changes: 1 addition & 1 deletion py/requirements.txt
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Expand Up @@ -2,7 +2,7 @@ numpy
packaging
pybind11==2.6.2
--extra-index-url https://download.pytorch.org/whl/nightly/cu121
torch>=2.3.0.dev,<2.4.0
torch>=2.4.0.dev,<2.5.0
torchvision>=0.18.0.dev,<0.19.0
--extra-index-url https://pypi.ngc.nvidia.com
tensorrt==8.6.1
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4 changes: 2 additions & 2 deletions pyproject.toml
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Expand Up @@ -9,7 +9,7 @@ requires = [
"typing-extensions>=4.7.0",
"future>=0.18.3",
"tensorrt>=8.6,<8.7",
"torch >=2.3.0.dev,<2.4.0",
"torch >=2.4.0.dev,<2.5.0",
"pybind11==2.6.2",
"numpy",
]
Expand Down Expand Up @@ -41,7 +41,7 @@ readme = {file = "py/README.md", content-type = "text/markdown"}
requires-python = ">=3.8"
keywords = ["pytorch", "torch", "tensorrt", "trt", "ai", "artificial intelligence", "ml", "machine learning", "dl", "deep learning", "compiler", "dynamo", "torchscript", "inference"]
dependencies = [
"torch >=2.3.0.dev,<2.4.0",
"torch >=2.4.0.dev,<2.5.0",
"tensorrt>=8.6,<8.7",
"packaging>=23",
"numpy",
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