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@apaszke apaszke commented Jul 28, 2018

This lays out initial support for taking and returning a richer set
of types than only tensors. Floats and ints are already valid, lists are
straightforward to add, tuples need some discussion.

Based on top of #9948. Review only the last commit.

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This looks good too!

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@zdevito zdevito added the oncall: jit Add this issue/PR to JIT oncall triage queue label Jul 30, 2018
@apaszke apaszke force-pushed the jit_arg_types branch 3 times, most recently from 499814f to 13e2c0e Compare July 31, 2018 03:05
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apaszke has imported this pull request. If you are a Facebook employee, you can view this diff on Phabricator.

apaszke added 2 commits July 31, 2018 08:27
… functions

This lays out the initial support for taking and returning a richer set
of types than only tensors. Floats and ints are already valid, lists are
straightforward to add, tuples need some discussion.
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apaszke has imported this pull request. If you are a Facebook employee, you can view this diff on Phabricator.

@apaszke apaszke deleted the jit_arg_types branch July 31, 2018 22:10
goodlux pushed a commit to goodlux/pytorch that referenced this pull request Aug 15, 2018
… functions (pytorch#9969)

Summary:
This lays out initial support for taking and returning a richer set
of types than only tensors. Floats and ints are already valid, lists are
straightforward to add, tuples need some discussion.

Based on top of pytorch#9948. Review only the last commit.

zdevito
Pull Request resolved: pytorch#9969

Reviewed By: zdevito

Differential Revision: D9076973

Pulled By: apaszke

fbshipit-source-id: 5a1fe912ea6b79ab2bfd0dcce265eb05855b5ff0
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5 participants