pytorch / pytorch/TensorRT

🐛 [Bug] Weight streaming test failures

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bug Story: Runtime & Memory & Serialization
Dominant language
Python
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Forks
410
Avg merge
3d 18h
Merged PRs (30d)
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Description

Bug Description

FAILED runtime/test_004_weight_streaming.py::TestWeightStreamingPython::test_weight_streaming_default_0_python_runtime - AssertionError: Tensor-likes are not close!
FAILED runtime/test_004_weight_streaming.py::TestWeightStreamingPython::test_weight_streaming_default_1_cpp_runtime - AssertionError: Tensor-likes are not close!
FAILED runtime/test_004_weight_streaming.py::TestWeightStreamingPython::test_weight_streaming_manual_0_python_runtime - AssertionError: Tensor-likes are not close!
FAILED runtime/test_004_weight_streaming.py::TestWeightStreamingPython::test_weight_streaming_manual_1_cpp_runtime - AssertionError: Tensor-likes are not close!

To Reproduce

Steps to reproduce the behavior:

Expected behavior

Environment

Build information about Torch-TensorRT can be found by turning on debug messages

  • Torch-TensorRT Version (e.g. 1.0.0):
  • PyTorch Version (e.g. 1.0):
  • CPU Architecture:
  • OS (e.g., Linux):
  • How you installed PyTorch (conda, pip, libtorch, source):
  • Build command you used (if compiling from source):
  • Are you using local sources or building from archives:
  • Python version:
  • CUDA version:
  • GPU models and configuration:
  • Any other relevant information:

Additional context

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start with the four failing tests in runtime/test_004_weight_streaming.py and run the listed Python- and C++-runtime cases to reproduce the tensor comparison failures. Trace the weight-streaming behavior involved in those tests and verify that all four tests pass with matching tensors.

Written by the indexing model from the issue text.

Assessment

Tech stack
cpp, python
Domain
machine-learning, testing-qa
Issue type
Bug
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
30/100

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