Re-land: upsample_bilinear: fix output data-type. #7168
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| I thought |
| haha, you need to first set the |
| Hmmm. Let me try rebasing the PR. |
ysiraichi force-pushed the ysiraichi/reland-upsample-data-type-issue branch from 91f8ef6 to 215c753 Compare | @JackCaoG Could you take a look at this PR whenever you have some time? |
JackCaoG reviewed Jun 4, 2024
| self.assertEqual("f16", torch_xla._XLAC._get_xla_tensor_shape_type(Xout)) | ||
| | ||
| # We skip TPU for 2 reasons: | ||
| # 1. upsample_bilinear on f64 tensors doesn't work on TPUs |
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will f64 works prior to your change on TPU? I don't want this to become a regression.
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My change doesn't affect TPU. The lowering for upsample_bilinear is different for CUDA and TPU. This change only affects non-TPU and non-Neuron devices.
JackCaoG approved these changes Jun 4, 2024
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Re-land: #7111
Previously, it was reverted because it broke TPU CI. That happened due to the newly added test in that PR. Specifically, because it called
upsample_bilinearwith f64 data-type. Since the bug was only on non-TPU and non-Neuron device types, we simply skip the test for those. It's safe to do that because there's a short-circuit that avoids the bug for those devices.cc @miladm @JackCaoG