condition_on_observations does not apply input transforms #2989
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hvarfner
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Summary: Fixes OSS-reported issues in the interaction between condition_on_observations and input transforms, as input transforms are generally bypassed when using the method. Why bother? I personally seem to use this method for just about all my research, including the initialization work currently under review. Moreover, it can't be trialed in Ax without this fix. Differential Revision: D80813693
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Summary: Fixes OSS-reported issues in the interaction between condition_on_observations and input transforms, as input transforms are generally bypassed when using the method. Why bother? I personally seem to use this method for just about all my research, including the initialization work currently under review. Moreover, it can't be trialed in Ax without this fix. Differential Revision: D80813693
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Aug 22, 2025
Summary: Fixes OSS-reported issues in the interaction between condition_on_observations and input transforms, as input transforms are generally bypassed when using the method. Why bother? I personally seem to use this method for just about all my research, including the initialization work currently under review. Moreover, it can't be trialed in Ax without this fix. Differential Revision: D80813693
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Summary: Fixes OSS-reported issues in the interaction between condition_on_observations and input transforms, as input transforms are generally bypassed when using the method. Why bother? I personally seem to use this method for just about all my research, including the initialization work currently under review. Moreover, it can't be trialed in Ax without this fix. Differential Revision: D80813693
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Aug 22, 2025
Summary: Pull Request resolved: pytorch#2989 Fixes OSS-reported issues in the interaction between condition_on_observations and input transforms, as input transforms are generally bypassed when using the method. Why bother? I personally seem to use this method for just about all my research, including the initialization work currently under review. Moreover, it can't be trialed in Ax without this fix. Differential Revision: D80813693
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Summary: Fixes OSS-reported issues in the interaction between condition_on_observations and input transforms, as input transforms are generally bypassed when using the method. Why bother? I personally seem to use this method for just about all my research, including the initialization work currently under review. Moreover, it can't be trialed in Ax without this fix. Differential Revision: D80813693
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This pull request was exported from Phabricator. Differential Revision: D80813693 |
hvarfner
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Aug 25, 2025
Summary: Fixes OSS-reported issues in the interaction between condition_on_observations and input transforms, as input transforms are generally bypassed when using the method. Why bother? I personally seem to use this method for just about all my research, including the initialization work currently under review. Moreover, it can't be trialed in Ax without this fix. Differential Revision: D80813693
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Aug 25, 2025
Summary: Fixes OSS-reported issues in the interaction between condition_on_observations and input transforms, as input transforms are generally bypassed when using the method. Why bother? I personally seem to use this method for just about all my research, including the initialization work currently under review. Moreover, it can't be trialed in Ax without this fix. Differential Revision: D80813693
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Aug 25, 2025
Summary: Fixes OSS-reported issues in the interaction between condition_on_observations and input transforms, as input transforms are generally bypassed when using the method. Why bother? I personally seem to use this method for just about all my research, including the initialization work currently under review. Moreover, it can't be trialed in Ax without this fix. Differential Revision: D80813693
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Aug 25, 2025
Summary: Pull Request resolved: pytorch#2989 Fixes OSS-reported issues in the interaction between condition_on_observations and input transforms, as input transforms are generally bypassed when using the method. Why bother? I personally seem to use this method for just about all my research, including the initialization work currently under review. Moreover, it can't be trialed in Ax without this fix. Differential Revision: D80813693
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Summary: Pull Request resolved: pytorch#2989 Fixes OSS-reported issues in the interaction between condition_on_observations and input transforms, as input transforms are generally bypassed when using the method. Why bother? I personally seem to use this method for just about all my research, including the initialization work currently under review. Moreover, it can't be trialed in Ax without this fix. Differential Revision: D80813693
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Aug 25, 2025
Summary: Fixes OSS-reported issues in the interaction between condition_on_observations and input transforms, as input transforms are generally bypassed when using the method. Why bother? I personally seem to use this method for just about all my research, including the initialization work currently under review. Moreover, it can't be trialed in Ax without this fix. Differential Revision: D80813693
Summary: Fixes OSS-reported issues in the interaction between condition_on_observations and input transforms, as input transforms are generally bypassed when using the method. Why bother? I personally seem to use this method for just about all my research, including the initialization work currently under review. Moreover, it can't be trialed in Ax without this fix. Differential Revision: D80813693
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Aug 26, 2025
Summary: Fixes OSS-reported issues in the interaction between condition_on_observations and input transforms, as input transforms are generally bypassed when using the method. Why bother? I personally seem to use this method for just about all my research, including the initialization work currently under review. Moreover, it can't be trialed in Ax without this fix. Differential Revision: D80813693
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Aug 28, 2025
Summary: Fixes OSS-reported issues in the interaction between condition_on_observations and input transforms, as input transforms are generally bypassed when using the method. Why bother? I personally seem to use this method for just about all my research, including the initialization work currently under review. Moreover, it can't be trialed in Ax without this fix. Reviewed By: saitcakmak Differential Revision: D80813693
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Aug 28, 2025
Summary: Pull Request resolved: pytorch#2989 Fixes OSS-reported issues in the interaction between condition_on_observations and input transforms, as input transforms are generally bypassed when using the method. Why bother? I personally seem to use this method for just about all my research, including the initialization work currently under review. Moreover, it can't be trialed in Ax without this fix. Differential Revision: D80813693
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Summary:
Fixes OSS-reported issues in the interaction between condition_on_observations and input transforms, as input transforms are generally bypassed when using the method.
Moreover, it can't be trialed in Ax without this fix.
Differential Revision: D80813693