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parallelize-sample-grad-output
branch: parallelize-sample-grad-output
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parallelize-sample-grad-output
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activation-hessian
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activation-hessian-linop
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adjoint
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adjoint-jacobians
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adjoint-submatrix
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alt-ekfac
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always-full-tests
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arbitrary-inputs
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bcewithlogitsloss
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bug-dtype-check-deterministic
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bug-kfac-device-change
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ci-update
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composition-rules
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copilot/add-fishertype-kfactype-enums
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curvature-linop
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deprecate-pkg-resources
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deprecate-python38
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development
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diagonal
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doc-eigenvalues
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dtype-device-properties
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ef-linop
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ekfac
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empirical-fisher
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eva
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example-benchmark
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example-fisher-mc
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example-trace
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expand-reduce
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faster-ef
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faster-fisher-mc
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fisher-averaging
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fisher-linop
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fisher-mc
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fix-coveralls-badge
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fix-device
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fix-device-errors
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fix-enum
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fix-inverse-kfac
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fix-kfac-scale
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fix-markdown-syntax
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fix-mc-tests
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fix-mcfisher-scale
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fix-python-badge
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fix-scale
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fix-typo
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flake8-to-ruff
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foof
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frobenius-norm
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functional-estimators
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functional-ggnmp
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functorch-efmp
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functorch-fmp
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functorch-ggnmp
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functorch-hmp
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functorch-jacobians
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ggn-linop
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hessian-blocks
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hessian-linop
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high-dim-outputs
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hutchinson
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hutchpp
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improve-benchmark-results
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improve-frobenius
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improve-spectral-density
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improve-tests
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improve-visual-tour
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issue-138-improve-links
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jacobian
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jacobian-linop
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jacobian-transposed
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joint-weight-and-bias
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kfac
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kfac-arbitrary-params-order
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kfac-ce-loss
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kfac-conv2d
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kfac-damping
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kfac-ef
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kfac-ema
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kfac-inv
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kfac-linop
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kfac-state-dict
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kfac-torch-only
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kfac-trace
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kfac-type-2
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kfac-with-inplace-activations
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lanczos-cache
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load-state-dict-model-func
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logo
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lsmr-inverse
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main
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matmat-list-shapes
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matvec-to-matmat
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move-util-linops
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neumann-inverse
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neumann-inverse-example
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no-cpu
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only-bias-or-weight
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overwrite-model-warning
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papyan20traces-density
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parallelize-grad-output
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parallelize-tests
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partial-boundary-specification
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power-iteration-comparison
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pydocstyle-coverage
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pytorch-cg
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pytorch-inverse
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pytorch-linop
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pytorch-spectral-density
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reduce-scipy
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ref-internal-mapping
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remove-kfac-side-effect
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remove-loss-average
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remove-to_device
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remover-iterator-conversion
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retry-kfac-inv
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rla-pytorch
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runame-patch-1
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source-button
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specify-num-data
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submatrices
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submatrix-example
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submatrix-pytorch
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test-consecutive-matmats
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test-regression
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update-benchmark-a6000
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update-black
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update-changelog
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update-ci
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update-github-actions
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use-built-in-functorch
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use-pyproject-toml
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use-tuples-in-functionals
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v3-release-notes
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visual-tour
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weighted-ce-kfac
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xdiag
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xtrace
CHANGE BRANCH
x
-
parallelize-sample-grad-output
- activation-hessian
- activation-hessian-linop
- adjoint
- adjoint-jacobians
- adjoint-submatrix
- alt-ekfac
- always-full-tests
- arbitrary-inputs
- bcewithlogitsloss
- bug-dtype-check-deterministic
- bug-kfac-device-change
- ci-update
- composition-rules
- copilot/add-fishertype-kfactype-enums
- curvature-linop
- deprecate-pkg-resources
- deprecate-python38
- development
- diagonal
- doc-eigenvalues
- dtype-device-properties
- ef-linop
- ekfac
- empirical-fisher
- eva
- example-benchmark
- example-fisher-mc
- example-trace
- expand-reduce
- faster-ef
- faster-fisher-mc
- fisher-averaging
- fisher-linop
- fisher-mc
- fix-coveralls-badge
- fix-device
- fix-device-errors
- fix-enum
- fix-inverse-kfac
- fix-kfac-scale
- fix-markdown-syntax
- fix-mc-tests
- fix-mcfisher-scale
- fix-python-badge
- fix-scale
- fix-typo
- flake8-to-ruff
- foof
- frobenius-norm
- functional-estimators
- functional-ggnmp
- functorch-efmp
- functorch-fmp
- functorch-ggnmp
- functorch-hmp
- functorch-jacobians
- ggn-linop
- hessian-blocks
- hessian-linop
- high-dim-outputs
- hutchinson
- hutchpp
- improve-benchmark-results
- improve-frobenius
- improve-spectral-density
- improve-tests
- improve-visual-tour
- issue-138-improve-links
- jacobian
- jacobian-linop
- jacobian-transposed
- joint-weight-and-bias
- kfac
- kfac-arbitrary-params-order
- kfac-ce-loss
- kfac-conv2d
- kfac-damping
- kfac-ef
- kfac-ema
- kfac-inv
- kfac-linop
- kfac-state-dict
- kfac-torch-only
- kfac-trace
- kfac-type-2
- kfac-with-inplace-activations
- lanczos-cache
- load-state-dict-model-func
- logo
- lsmr-inverse
- main
- matmat-list-shapes
- matvec-to-matmat
- move-util-linops
- neumann-inverse
- neumann-inverse-example
- no-cpu
- only-bias-or-weight
- overwrite-model-warning
- papyan20traces-density
- parallelize-grad-output
- parallelize-tests
- partial-boundary-specification
- power-iteration-comparison
- pydocstyle-coverage
- pytorch-cg
- pytorch-inverse
- pytorch-linop
- pytorch-spectral-density
- reduce-scipy
- ref-internal-mapping
- remove-kfac-side-effect
- remove-loss-average
- remove-to_device
- remover-iterator-conversion
- retry-kfac-inv
- rla-pytorch
- runame-patch-1
- source-button
- specify-num-data
- submatrices
- submatrix-example
- submatrix-pytorch
- test-consecutive-matmats
- test-regression
- update-benchmark-a6000
- update-black
- update-changelog
- update-ci
- update-github-actions
- use-built-in-functorch
- use-pyproject-toml
- use-tuples-in-functionals
- v3-release-notes
- visual-tour
- weighted-ce-kfac
- xdiag
- xtrace
coverage: 89.154% (+0.03%) from 89.124%
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Source Files on parallelize-sample-grad-output
Recent builds
| Builds | Branch | Commit | Type | Ran | Committer | Via | Coverage |
|---|---|---|---|---|---|---|---|
| 8250276308 | parallelize-sample-grad-output | [REF] Parallelize `sample_grad_output` in MC Fisher | Pull #89 |  f-dangel |
github |
89.15 |