Skip to content

History / Torch for Numpy users

Revisions

  • Updated Torch for Numpy users (markdown)

    @petered petered committed Aug 25, 2018
  • Updated Torch for Numpy users (markdown)

    @petered petered committed Sep 10, 2017
  • fixed nElement to nelement

    @petered petered committed Sep 10, 2017
  • Updated Torch for Numpy users (markdown)

    @petered petered committed Sep 10, 2017
  • Add equivalent of np.fill, np.multiply, ndarray.dot for torch. Tested on both numpy and torch.

    @synchro-- synchro-- committed Jul 14, 2017
  • Updated Torch for Numpy users (markdown)

    @galv galv committed Oct 29, 2016
  • torch.linspace is not suited to generate indices. It is better to use torch.range

    @Cadene Cadene committed May 4, 2016
  • np.nonzero returns indices while x:gt(0) returns a vector of 1/0 values; replaced Torch entry in the table with actual equivalence

    @strubell strubell committed Mar 15, 2016
  • Updated Torch for Numpy users (markdown)

    @JoostvDoorn JoostvDoorn committed Mar 2, 2016
  • Updated Torch for Numpy users (markdown)

    @soumith soumith committed Feb 15, 2016
  • Updated Torch for Numpy users (markdown)

    @soumith soumith committed Feb 15, 2016
  • Updated Torch for Numpy users (markdown)

    @jongwook jongwook committed Feb 7, 2016
  • minor python syntax error

    @jongwook jongwook committed Feb 7, 2016
  • Updated Torch for Numpy users (markdown)

    @shrubb shrubb committed Feb 7, 2016
  • Updated Torch for Numpy users (markdown)

    @jonasrauber jonasrauber committed Jan 12, 2016
  • Illustration of Torch equivalent of numpy's indexing operator ':'

    @wpm wpm committed Aug 6, 2015
  • Created Torch for Numpy users (markdown)

    @soumith soumith committed Oct 16, 2014