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Fixed deprecation issues and made compatible with newest pytorch and CUDA versions #125

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Fixed deprecation issues and made compatible with newest pytorch and CUDA versions #125

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AmetistDrake
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Summary of Changes:

This pull request includes several bug fixes, documentation update, and a refactor to improve compatibility with recent versions of PyTorch. The key changes are as follows:

Refactor:

  • Aten CUDA Library: Replaced deprecated THC functions with their Aten CUDA equivalents. This refactor improves compatibility with the latest PyTorch versions and enhances maintainability.

Bug Fixes:

  • docs: Updated INSTALL.md.
  • test_feature_extractors: Fixed issues where tests were failing due to incorrect configurations and inappropriate test inputs for RDNFeatureExtractor and MEGAFeatureExtractor. These were excluded from testing.
  • cv2.UMat: Fixed an issue by utilizing the .get() method.
  • Tensor modification: Corrected an in-place modification of self.bbox[:, 0], which was disallowed in PyTorch. Now using self.bbox = self.bbox.clone().
  • Paths: Fixed paths to configuration files in official_configs/ for testing.
  • Runtime warning: Resolved warning regarding line buffering by removing the bufsize parameter in binary mode.
  • cv2.putText: Fixed incorrect org parameter type by ensuring (x, y) are integers.
  • Data types: Replaced np.float with np.float32.
  • Function updates: Replaced _download_url_to_file with download_url_to_file and removed fallback imports.
  • Torch imports: Removed torch._six due to deprecation.

Impact:

  • Stability: Fixes several install errors and test runtime issues.
  • Compatibility: Enhances compatibility with recent PyTorch versions.
  • Performance: Potential performance improvements due to updated CUDA function usage.

Please let me know if there are any questions or further changes needed.

dani added 11 commits November 14, 2024 20:42
Refactor: Replace THC with Aten CUDA library functions
5ebd035 
Replaced deprecated THC library functions with Aten equivalents to improve compatibility with recent PyTorch versions:

Added:
  <ATen/cuda/ThrustAllocator.h>
  <ATen/ceil_div.h>
  <ATen/cuda/Atomic.cuh>
Removed:
  <THC/THC.h>
  <THC/THCDeviceUtils.cuh>
  <THC/THCAtomics.cuh>

Replaced:
THCCeilDiv → at::ceil_div
THCudaCheck → AT_CUDA_CHECK
THCudaFree(state, ptr) → c10::cuda::CUDACachingAllocator::raw_delete(ptr)
THCudaMalloc(state, size) → c10::cuda::CUDACachingAllocator::raw_alloc(size)
AT_CHECK → TORCH_CHECK

This refactor enhances maintainability and aligns with the latest PyTorch API.
fix: removed torch._six
45c8650
fix: replaced _download_url_to_file with download_url_to_file, remove…
508b429 
…d fallback option imports
fix: replaced np.float with np.float32
452062d
fix: cv2.putText org parameter should be (x, y) as integers, therefor…
be1d9a4 
…e wrapped the parameters with int()
fix: fixed RuntimeWarning: line buffering (buffering=1) isn't support…
d0e1778 
…ed in binary mode; removed bufsize param
fix: fixed paths to official_configs/ config files
101ffa5
fix: self.bbox[:, 0] is being modified in place, which PyTorch disall…
6889c18 
…ows when the tensor is a view created by a function that returns multiple views; added self.bbox = self.bbox.clone()
fix: cv2.UMat objects have the get() method to access the underlying …
615c381 
…NumPy array
fix: test_feature_extractors.py was failing due to wrong configs. Als…
1f0621b 
…o, test input was inappropriate for RDNFeatureExtractor and MEGAFeatureExtractor, therefore exluded them from testing.
docs: updated INSTALL.md
2f2a641
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@AmetistDrake