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PyTorch

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TorchNeuron provides a new native backend for PyTorch PyTorch 2.15 supports the torch.float8_e4m3fn tensor type PyTorch 2.15 requires Python 3.11 PyTorch 2.15 requires macOS 15 TorchTPU is a native backend that adds TPU support to PyTorch. PyTorch can run on Tensor Processing Units via TorchTPU. TorchTPU makes it easy to move existing PyTorch apps to TPUs and Google Cloud with a simple configuration change. Amazon is submitting code to the main PyTorch project that decouples various features from Nvidia’s chips, making it more open to any hardware by default. PyTorch was originally developed by Meta (then Facebook) in 2016. Google updated its popular LiteRT tool, which runs AI on phones, laptops and embedded devices, to work better with PyTorch AI apps. Most AI apps are written by default to run on Nvidia’s chips, and PyTorch was built with that hardware in mind. i14 uses PyTorch PyTorch LOWERS_TO TorchNeuron RMSNorm BUILT_IN_IN PyTorch· Entity summary generated by Graphiti

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BY VALID-FROM DATE
  1. PyTorchLOWERS TOTorchNeuron

    PyTorch LOWERS_TO TorchNeuron

    Current1 sourceTorchNeuron
  2. RMSNormBUILT IN INPyTorch

    RMSNorm BUILT_IN_IN PyTorch

    Current1 sourceRMSNorm
  3. i14USESPyTorch

    i14 uses PyTorch

    Current1 sourcei14
  4. LiteRT toolIMPROVED FORPyTorch

    Google updated its popular LiteRT tool, which runs AI on phones, laptops and embedded devices, to work better with PyTorch AI apps.

    Current1 sourceLiteRT tool
  5. AmazonCONTRIBUTES TOPyTorch

    Amazon is submitting code to the main PyTorch project that decouples various features from Nvidia’s chips, making it more open to any hardware by default.

    Current1 sourceAmazon
  6. TorchTPUFACILITATES MOVINGPyTorch

    TorchTPU makes it easy to move existing PyTorch apps to TPUs and Google Cloud with a simple configuration change.

    Current1 sourceTorchTPU
  7. PyTorchRUNS ONNVIDIA

    Most AI apps are written by default to run on Nvidia’s chips, and PyTorch was built with that hardware in mind.

    Current1 sourceNVIDIA
  8. MetaDEVELOPEDPyTorch

    PyTorch was originally developed by Meta (then Facebook) in 2016.

    Current1 sourceMeta
  9. PyTorchREQUIRESNVIDIA DLSS Ray Reconstruction

    PyTorch 2.15 requires macOS 15

    Current1 sourceNVIDIA DLSS Ray Reconstruction
  10. PyTorchSUPPORTStorch.float8_e4m3fn tensor type

    PyTorch 2.15 supports the torch.float8_e4m3fn tensor type

    Current1 sourcetorch.float8_e4m3fn tensor type
  11. PyTorchREQUIRESPython 3.11

    PyTorch 2.15 requires Python 3.11

    Current1 sourcePython 3.11
  12. PyTorchRUNS ONGoogle TPUs

    PyTorch can run on Tensor Processing Units via TorchTPU.

    Current1 sourceGoogle TPUs
  13. TorchTPUIS BACKEND OFPyTorch

    TorchTPU is a native backend that adds TPU support to PyTorch.

    Current1 sourceTorchTPU
  14. TorchNeuronPROVIDES NATIVE BACKEND FORPyTorch

    TorchNeuron provides a new native backend for PyTorch

    Current2 sourcesTorchNeuron

Relations are facts Graphiti extracted from reports, not verbatim quotes. An end date means later reporting showed the relation no longer holds.

Events 5

Source reports 6