PyTorch 1.3.0 ืฉื•ื—ืจืจ

PyTorch, ืžืกื’ืจืช ืœืžื™ื“ืช ื”ืžื›ื•ื ื” ื”ืคื•ืคื•ืœืจื™ืช ื‘ืงื•ื“ ืคืชื•ื—, ืขื•ื“ื›ื ื” ืœื’ืจืกื” 1.3.0 ื•ืžืžืฉื™ื›ื” ืœืฆื‘ื•ืจ ืชืื•ืฆื” ืขื ื”ื”ืชืžืงื“ื•ืช ืฉืœื” ื‘ืฉื™ืจื•ืช ื”ืฆืจื›ื™ื ืฉืœ ื—ื•ืงืจื™ื ื•ืžืชื›ื ืชื™ ื™ื™ืฉื•ืžื™ื ื›ืื—ื“.

ื›ืžื” ืฉื™ื ื•ื™ื™ื:

  • ืชืžื™ื›ื” ื ื™ืกื™ื•ื ื™ืช ืœื˜ื ื–ื•ืจื™ื ื‘ืขืœื™ ืฉื. ื›ืขืช ืชื•ื›ืœ ืœื”ืชื™ื™ื—ืก ืœืžืžื“ื™ื ื˜ื ื–ื•ืจ ืœืคื™ ืฉื, ื‘ืžืงื•ื ืœืฆื™ื™ืŸ ืžื™ืงื•ื ืžื•ื—ืœื˜:
    NCHW = ['N', 'C', 'H', 'W'] images = torch.randn(32, 3, 56, 56, names=NCHW)
    images.sum('C')
    images.select('C', index=0)

  • ืชืžื™ื›ื” ื‘ืงื•ื•ื ื˜ื™ื–ืฆื™ื” ืฉืœ 8 ืกื™ื‘ื™ื•ืช ื‘ืืžืฆืขื•ืช FBGEMM ะธ QNNPACK, ื”ืžืฉื•ืœื‘ื™ื ื‘- PyTorch ื•ืžืฉืชืžืฉื™ื ื‘-API ืžืฉื•ืชืฃ;
  • ืœืขื‘ื•ื“ ื‘ืฉื‘ื™ืœ ืžื›ืฉื™ืจื™ื ื ื™ื™ื“ื™ื ื”ืคืขืœืช iOS ื•ืื ื“ืจื•ืื™ื“;
  • ืฉื—ืจื•ืจ ื›ืœื™ื ื•ืกืคืจื™ื•ืช ื ื•ืกืคื™ื ืœืคืจืฉื ื•ืช ืžื•ื“ืœื™ื.

ื‘ื ื•ืกืฃ, ื™ืฆื ืœืื•ืจ ื”ืงืœื˜ืช ื“ื•ื—ื•ืช ืžื›ื ืก ื”ืžืคืชื—ื™ื ืฉืœ Pytorch 2019 ืฉืขื‘ืจ.

ืžืงื•ืจ: linux.org.ru

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