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VEDA PyTorch

Project description

VEDA PyTorch

VEDA PyTorch is a library to add device support for the NEC SX-Aurora TSUBASA into PyTorch.

Github PyPI License Python Versions Maintenance Maintenance

Release Notes

VersionComment
v12
  • Added auto plugin loading for Pytorch. import veda.pytorch is no longer required with PyTorch >=2.5!
v11
  • Fixed shutdown problem in mixed GPU/VE use cases.
v10
  • Support for PyTorch v2.3.1
  • Support for SX-Aurora VE3
v9
  • Support for PyTorch v2.3.0
v8
  • Added torch.logical_not
v7
  • Support for PyTorch v2.0.0
  • Support for PyTorch v1.13.0
  • Added torch.log1p
v6
  • Support for PyTorch v1.12.0 and v1.12.1
v5
  • Added
    • torch.clamp
    • torch.clamp_max
    • torch.clamp_min
    • torch.exp
    • torch.log
    • torch.norm
    • torch.pow
    • torch.where
  • Fixed conversion from numeric value to bool
  • Fixed calling torch.ve.memory_allocated() without device id
  • Preventing 0-byte allocations from PyTorch to be passed on to VEDA
v4
  • fixed possible segfault in Tensor resize if no storage is initialized
  • fixed dtype handling in Scalar to Tensor operations
v3
  • added squeeze and unsqueeze handlers
v2
  • Minor changes to enable PyTorch v1.11.0
  • Fixed vedaInit error checking to ignore if already initialized
v1 Initial Release

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