Comments (5)
I don't think the QR decomposition in itself is an issue, since we can just calculate that with Julia's built-in qr
. We just need to define the gradients.
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Shall we close this and open an new one on ChainRules.jl?
(too bad can't do transfer across orgs)
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Noone is working on it
to ChainRules
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Shall I implement the QR decomposition in the Gram-Schmidt method as mentioned in this https://www.math.ucla.edu/~yanovsky/Teaching/Math151B/handouts/GramSchmidt.pdf ?
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Hi,
Is any one working on this issue? Do we need to send in a PR to Zygote or to ChainRules? I can try to implement this if noone is working on it.
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Related Issues (20)
- `sort(x; rev=true)` is not supported HOT 1
- Incorrect gradients for `plan_rfft(x) * x` HOT 2
- Gradient of scalar function of gradient giving mutating array error HOT 4
- `sum` with CUDA and view on array errors HOT 3
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- `Ref` and broadcasting issue HOT 2
- Strip zygote frames from mutation error stack trace HOT 1
- Zygote in Julia 1.10+ not reading rrules for default constructors HOT 7
- Few issues in the Zygote Home Page documentation HOT 1
- OOM when computing the gradient in an embarrassingly parallel problem HOT 1
- Pullback over jacobian HOT 6
- `withjacobian` flattens the output when it is a matrix HOT 1
- Gradient wrt to a sparse matrix is mathematically wrong HOT 6
- Increasing memory usage in each call of gradient HOT 1
- Precompilation error in Julia nightly HOT 1
- Gradient involving `LinearAlgebra.tr` errors HOT 1
- Device-to-host copies with GPU code HOT 11
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- Manually changing the Flux parameters and optimizing using Zygote
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