Empty tensor handling #3891
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Empty tensor handling #3891
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narendasan
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@apbose this maybe be a case where we would want TRT to properly handle this rather than us doing something hacky. Lets raise it with Yuan Yuo. Dummy inputs do not feel like the right solution
core/runtime/execute_engine.cpp
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| auto shape = core::util::toVec(dims); | ||
| LOG_DEBUG("Input Name: " << name << " Shape: " << dims); | ||
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| void* tensor_addr = nullptr; |
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I strongly want to avoid having nullptr basically anywhere, we should be looking for some sane default
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Its looking good, please add a testcase then should be good to merge
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This PR addresses the case of empty tensor in torchTRT based on https://docs.nvidia.com/deeplearning/tensorrt/latest/inference-library/advanced.html#empty-tensors, and also focuses on concat operation edge case involving empty tensor
TODO: Might have to separate the case of concat from this PR, in the case when torch.Tensor([]) and a rank greater tensor are concatenated, which is a valid case in pytorch but not TRT.
This addressed #3865. Corresponding HF transformers issue raised - huggingface/transformers#42027 where empty tensor should not come in the first place