Fixed deprecation issues and made compatible with newest pytorch and CUDA versions#125
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AmetistDrake wants to merge 11 commits into
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Fixed deprecation issues and made compatible with newest pytorch and CUDA versions#125AmetistDrake wants to merge 11 commits into
AmetistDrake wants to merge 11 commits into
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added 11 commits
November 14, 2024 20:42
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.
…d fallback option imports
…e wrapped the parameters with int()
…ed in binary mode; removed bufsize param
…ows when the tensor is a view created by a function that returns multiple views; added self.bbox = self.bbox.clone()
…o, test input was inappropriate for RDNFeatureExtractor and MEGAFeatureExtractor, therefore exluded them from testing.
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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:
Bug Fixes:
Impact:
Please let me know if there are any questions or further changes needed.