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Don't make parameters have symbolic shapes #85809
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Parameters won't change size across iterations of the training loop, so this is a cost-free optimization that avoids us having to do symbolic math over parameters. Signed-off-by: Edward Z. Yang <ezyang@fb.com> [ghstack-poisoned]
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/85809
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Parameters won't change size across iterations of the training loop, so this is a cost-free optimization that avoids us having to do symbolic math over parameters. Signed-off-by: Edward Z. Yang <ezyangfb.com> ghstack-source-id: d7462b36ca5779fed8f6633633ee986ffa6df949 Pull Request resolved: #85809
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Sounds good!
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Hey @ezyang. |
Parameters won't change size across iterations of the training loop, so this is a cost-free optimization that avoids us having to do symbolic math over parameters. Signed-off-by: Edward Z. Yang <ezyang@fb.com> Pull Request resolved: pytorch#85809 Approved by: https://github.com/albanD
Parameters won't change size across iterations of the training loop, so this is a cost-free optimization that avoids us having to do symbolic math over parameters. Signed-off-by: Edward Z. Yang <ezyang@fb.com> Pull Request resolved: #85809 Approved by: https://github.com/albanD
Parameters won't change size across iterations of the training loop, so this is a cost-free optimization that avoids us having to do symbolic math over parameters. Signed-off-by: Edward Z. Yang <ezyang@fb.com> Pull Request resolved: pytorch#85809 Approved by: https://github.com/albanD
Stack from ghstack (oldest at bottom):
Parameters won't change size across iterations of the
training loop, so this is a cost-free optimization that
avoids us having to do symbolic math over parameters.
Signed-off-by: Edward Z. Yang ezyang@fb.com