8000 Adding custom testing based on opinfos input for ops with custom rules. by Gamrix · Pull Request #67500 · pytorch/pytorch · GitHub
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Adding custom testing based on opinfos input for ops with custom rules. #67500

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@facebook-github-bot facebook-github-bot added the oncall: jit Add this issue/PR to JIT oncall triage queue label Oct 29, 2021
Gamrix added a commit that referenced this pull request Oct 29, 2021
@Gamrix Gamrix requested review from Krovatkin and eellison October 29, 2021 18:26
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:shipit:

weight, bias = conv_in.args
weight = weight.type(torch.long)

with self.assertRaises(RuntimeError):
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can have a test to assert that dtype_propagation doesn't dtype the output tensor in this case?

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Makes sense. I'll have to add a bit more logic to handle that.

(conv2d_fn, sample_inputs_conv2d),
(adaptive_avg_pool2d_fn, sample_inputs_adaptive_avg_pool2d),
):
for dtype in (torch.int8, torch.float64):
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how did you decide on these two types?

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Just seemed like two types that would be commonly used, and I wanted one int, and one float type

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Gamrix commented Nov 4, 2021

@Gamrix has imported this pull request. If you are a Facebook employee, you can view this diff on Phabricator.

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Gamrix commented Nov 4, 2021

@Gamrix has imported this pull request. If you are a Facebook employee, you can view this diff on Phabricator.

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Gamrix commented Nov 4, 2021

@Gamrix has imported this pull request. If you are a Facebook employee, you can view this diff on Phabricator.

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@Gamrix merged this pull request in b8e165e.

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This pull request has been reverted by b1ac7f5. To re-land this change, follow these steps.

@facebook-github-bot facebook-github-bot deleted the gh/gamrix/27/head branch November 8, 2021 15:16
@seemethere seemethere mentioned this pull request Nov 9, 2021
@Gamrix Gamrix mentioned this pull request Nov 15, 2021
@Gamrix Gamrix reopened this Nov 15, 2021
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Gamrix commented Nov 17, 2021

@Gamrix has imported this pull request. If you are a Facebook employee, you can view this diff on Phabricator.

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