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Partially infer conv return types #47060
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copybara-service
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tensorflow:master
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WindQAQ:partially-infer-conv-return-types
Feb 16, 2021
Merged
Partially infer conv return types #47060
copybara-service
merged 4 commits into
tensorflow:master
from
WindQAQ:partially-infer-conv-return-types
Feb 16, 2021
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af9ad9d introduces conv inferReturnTypes, but skips the inference when either input or filter does not have static shape (unranked or not all dimensions are static). This PR instead tries to infer as many dimensions as possible, which avoids shape information loss when there are only some dynamic dimensions (like batch dim).
abattery
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Thanks for your contribution!
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@smit-hinsu Do you want to take a look since you approved #44022 ? |
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Fixes #47057.
af9ad9d introduces conv inferReturnTypes, but skips the inference when either input or filter does not have static shape (unranked or not all dimensions are static). However, it introduces the regression when it comes to partially dynamic input. This PR instead tries to infer as many dimensions as possible, which avoids shape information loss when there are only some dynamic dimensions (like batch dim).