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Update release branch #1348
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Update release branch #1348
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Signed-off-by: dperi <[email protected]>
…I arguments Signed-off-by: Dheeraj Peri <[email protected]>
Signed-off-by: Dheeraj Peri <[email protected]>
Signed-off-by: Dheeraj Peri <[email protected]>
Signed-off-by: Dheeraj Peri <[email protected]>
Signed-off-by: Dheeraj Peri <[email protected]>
Signed-off-by: Dheeraj Peri <[email protected]>
Signed-off-by: Dheeraj Peri <[email protected]>
Signed-off-by: Dheeraj Peri <[email protected]>
Signed-off-by: Dheeraj Peri <[email protected]>
Signed-off-by: Dheeraj Peri <[email protected]>
Signed-off-by: Dheeraj Peri <[email protected]>
Signed-off-by: Dheeraj Peri <[email protected]>
Signed-off-by: Dheeraj Peri <[email protected]>
Signed-off-by: Torch-TensorRT Github Bot <[email protected]>
…y models and restructuring Signed-off-by: Dheeraj Peri <[email protected]>
Signed-off-by: Dheeraj Peri <[email protected]>
Signed-off-by: Dheeraj Peri <[email protected]>
Signed-off-by: Dheeraj Peri <[email protected]>
Signed-off-by: Dheeraj Peri <[email protected]>
Signed-off-by: Anurag Dixit <[email protected]>
Signed-off-by: Dheeraj Peri <[email protected]>
Signed-off-by: Dheeraj Peri <[email protected]>
Signed-off-by: Torch-TensorRT Github Bot <[email protected]>
Signed-off-by: Torch-TensorRT Github Bot <[email protected]>
Signed-off-by: Torch-TensorRT Github Bot <[email protected]>
Signed-off-by: Torch-TensorRT Github Bot <[email protected]>
* enable direct call to fx.compile() * Update lower_example.py * Update _compile.py
Signed-off-by: Torch-TensorRT Github Bot <[email protected]>
#1345) * fix: add remove_exception pass from torch to fix uninitialized tensor bug Signed-off-by: Bo Wang <[email protected]> * chore: apply linting Signed-off-by: Naren Dasan <[email protected]> Signed-off-by: Naren Dasan <[email protected]> Signed-off-by: Bo Wang <[email protected]> Signed-off-by: Naren Dasan <[email protected]> Signed-off-by: Naren Dasan <[email protected]> Co-authored-by: Naren Dasan <[email protected]>
Signed-off-by: Naren Dasan <[email protected]> Signed-off-by: Naren Dasan <[email protected]> Signed-off-by: Naren Dasan <[email protected]> Signed-off-by: Naren Dasan <[email protected]>
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A few questions about nox sessions
For examples of the last path, if we have a 3D tensor t shaped as (batch, sequence, dimension), operations such as torch.transpose(0, 2). If any of these three are not satisfied, we’ll need to specify InputTensorSpec as inputs with dynamic range. | ||
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.. code-block:: shell | ||
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@narendasan: Is this a typo?
noxfile.py
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session.run("python", "setup.py", "develop") | ||
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def download_datasets(session): |
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@narendasan @peri044 : Why are we dropping download_datasets in nox?
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This was changed as part of @peri044's cos similarity overhaul
noxfile.py
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@nox.session(python=SUPPORTED_PYTHON_VERSIONS, reuse_venv=True) | ||
def download_test_models(session): |
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How are the models downloaded in nox now?
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