Add torch.sparse.as_sparse_gradcheck decorator of gradcheck that allows gradcheck input function to receive and return sparse tensors #107150
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…lows gradcheck input function to recieve and return sparse tensors [ghstack-poisoned]
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/107150
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…eck that allows gradcheck input function to recieve and return sparse tensors" [ghstack-poisoned]
pearu
added
module: sparse
…eck that allows gradcheck input function to recieve and return sparse tensors" Compared to #104848, this PR makes a step further: when the enable_sparse_support decorator is applied to `torch.autograd.gradcheck`, the resulting callable is equivalent to `torch.autograd.gradcheck` with an extra feature of supporting functions that can have input sparse tensors or/and can return sparse tensors. At the same time, the underlying call to `torch.autograd.gradcheck` will operate on strided tensors only. This basically means that torch/autograd/gradcheck.py can be cleaned up by removing the code that deals with sparse tensors. cc alexsamardzic nikitaved cpuhrsch amjames bhosmer ezyang albanD zou3519 gqchen soulitzer Lezcano Varal7 [ghstack-poisoned]
…eck that allows gradcheck input function to recieve and return sparse tensors" Compared to #104848, this PR makes a step further: when the enable_sparse_support decorator is applied to `torch.autograd.gradcheck`, the resulting callable is equivalent to `torch.autograd.gradcheck` with an extra feature of supporting functions that can have input sparse tensors or/and can return sparse tensors. At the same time, the underlying call to `torch.autograd.gradcheck` will operate on strided tensors only. This basically means that torch/autograd/gradcheck.py can be cleaned up by removing the code that deals with sparse tensors. cc alexsamardzic nikitaved cpuhrsch amjames bhosmer ezyang albanD zou3519 gqchen soulitzer Lezcano Varal7 [ghstack-poisoned]
albanD
reviewed
Aug 16, 2023
…eck that allows gradcheck input function to recieve and return sparse tensors" Compared to #104848, this PR makes a step further: when the enable_sparse_support decorator is applied to `torch.autograd.gradcheck`, the resulting callable is equivalent to `torch.autograd.gradcheck` with an extra feature of supporting functions that can have input sparse tensors or/and can return sparse tensors. At the same time, the underlying call to `torch.autograd.gradcheck` will operate on strided tensors only. This basically means that torch/autograd/gradcheck.py can be cleaned up by removing the code that deals with sparse tensors. cc alexsamardzic nikitaved cpuhrsch amjames bhosmer ezyang albanD zou3519 gqchen soulitzer Lezcano Varal7 [ghstack-poisoned]
…eck that allows gradcheck input function to recieve and return sparse tensors" Compared to #104848, this PR makes a step further: when the enable_sparse_support decorator is applied to `torch.autograd.gradcheck`, the resulting callable is equivalent to `torch.autograd.gradcheck` with an extra feature of supporting functions that can have input sparse tensors or/and can return sparse tensors. At the same time, the underlying call to `torch.autograd.gradcheck` will operate on strided tensors only. This basically means that torch/autograd/gradcheck.py can be cleaned up by removing the code that deals with sparse tensors. cc alexsamardzic nikitaved cpuhrsch amjames bhosmer ezyang albanD zou3519 gqchen soulitzer Lezcano Varal7 [ghstack-poisoned]
…eck that allows gradcheck input function to recieve and return sparse tensors" Compared to #104848, this PR makes a step further: when the enable_sparse_support decorator is applied to `torch.autograd.gradcheck`, the resulting callable is equivalent to `torch.autograd.gradcheck` with an extra feature of supporting functions that can have input sparse tensors or/and can return sparse tensors. At the same time, the underlying call to `torch.autograd.gradcheck` will operate on strided tensors only. This basically means that torch/autograd/gradcheck.py can be cleaned up by removing the code that deals with sparse tensors. cc alexsamardzic nikitaved cpuhrsch amjames bhosmer ezyang albanD zou3519 gqchen soulitzer Lezcano Varal7 [ghstack-poisoned]
…eck that allows gradcheck input function to recieve and return sparse tensors" Compared to #104848, this PR makes a step further: when the enable_sparse_support decorator is applied to `torch.autograd.gradcheck`, the resulting callable is equivalent to `torch.autograd.gradcheck` with an extra feature of supporting functions that can have input sparse tensors or/and can return sparse tensors. At the same time, the underlying call to `torch.autograd.gradcheck` will operate on strided tensors only. This basically means that torch/autograd/gradcheck.py can be cleaned up by removing the code that deals with sparse tensors. cc alexsamardzic nikitaved cpuhrsch amjames bhosmer ezyang albanD zou3519 gqchen soulitzer Lezcano Varal7 [ghstack-poisoned]
…eck that allows gradcheck input function to recieve and return sparse tensors" Compared to #104848, this PR makes a step further: when the enable_sparse_support decorator is applied to `torch.autograd.gradcheck`, the resulting callable is equivalent to `torch.autograd.gradcheck` with an extra feature of supporting functions that can have input sparse tensors or/and can return sparse tensors. At the same time, the underlying call to `torch.autograd.gradcheck` will operate on strided tensors only. This basically means that torch/autograd/gradcheck.py can be cleaned up by removing the code that deals with sparse tensors. cc alexsamardzic nikitaved cpuhrsch amjames bhosmer ezyang albanD zou3519 gqchen soulitzer Lezcano Varal7 [ghstack-poisoned]
…eck that allows gradcheck input function to recieve and return sparse tensors" Compared to #104848, this PR makes a step further: when the enable_sparse_support decorator is applied to `torch.autograd.gradcheck`, the resulting callable is equivalent to `torch.autograd.gradcheck` with an extra feature of supporting functions that can have input sparse tensors or/and can return sparse tensors. At the same time, the underlying call to `torch.autograd.gradcheck` will operate on strided tensors only. This basically means that torch/autograd/gradcheck.py can be cleaned up by removing the code that deals with sparse tensors. cc alexsamardzic nikitaved cpuhrsch amjames bhosmer ezyang albanD zou3519 gqchen soulitzer Lezcano Varal7 [ghstack-poisoned]
amjames
approved these changes
Aug 23, 2023
|
@pytorchbot merge |
Merge startedYour change will be merged once all checks pass (ETA 0-4 Hours). Learn more about merging in the wiki. Questions? Feedback? Please reach out to the PyTorch DevX Team |
Merge failedReason: PR #107638 has not been reviewed yet |
…k that allows gradcheck input function to receive and return sparse tensors" Compared to #104848, this PR makes a step further: when the enable_sparse_support decorator is applied to `torch.autograd.gradcheck`, the resulting callable is equivalent to `torch.autograd.gradcheck` with an extra feature of supporting functions that can have input sparse tensors or/and can return sparse tensors. At the same time, the underlying call to `torch.autograd.gradcheck` will operate on strided tensors only. This basically means that torch/autograd/gradcheck.py can be cleaned up by removing the code that deals with sparse tensors. cc alexsamardzic nikitaved cpuhrsch amjames bhosmer ezyang albanD zou3519 gqchen soulitzer Lezcano Varal7 [ghstack-poisoned]
cpuhrsch
approved these changes
Aug 24, 2023
|
@pytorchbot merge |
Merge startedYour change will be merged once all checks pass (ETA 0-4 Hours). Learn more about merging in the wiki. Questions? Feedback? Please reach out to the PyTorch DevX Team |
Merge failedReason: PR #107638 has not been reviewed yet |
…k that allows gradcheck input function to receive and return sparse tensors" Compared to #104848, this PR makes a step further: when the enable_sparse_support decorator is applied to `torch.autograd.gradcheck`, the resulting callable is equivalent to `torch.autograd.gradcheck` with an extra feature of supporting functions that can have input sparse tensors or/and can return sparse tensors. At the same time, the underlying call to `torch.autograd.gradcheck` will operate on strided tensors only. This basically means that torch/autograd/gradcheck.py can be cleaned up by removing the code that deals with sparse tensors. cc alexsamardzic nikitaved cpuhrsch amjames bhosmer ezyang albanD zou3519 gqchen soulitzer Lezcano Varal7 [ghstack-poisoned]
…k that allows gradcheck input function to receive and return sparse tensors" Compared to #104848, this PR makes a step further: when the enable_sparse_support decorator is applied to `torch.autograd.gradcheck`, the resulting callable is equivalent to `torch.autograd.gradcheck` with an extra feature of supporting functions that can have input sparse tensors or/and can return sparse tensors. At the same time, the underlying call to `torch.autograd.gradcheck` will operate on strided tensors only. This basically means that torch/autograd/gradcheck.py can be cleaned up by removing the code that deals with sparse tensors. cc alexsamardzic nikitaved cpuhrsch amjames bhosmer ezyang albanD zou3519 gqchen soulitzer Lezcano Varal7 [ghstack-poisoned]
…k that allows gradcheck input function to receive and return sparse tensors" Compared to #104848, this PR makes a step further: when the enable_sparse_support decorator is applied to `torch.autograd.gradcheck`, the resulting callable is equivalent to `torch.autograd.gradcheck` with an extra feature of supporting functions that can have input sparse tensors or/and can return sparse tensors. At the same time, the underlying call to `torch.autograd.gradcheck` will operate on strided tensors only. This basically means that torch/autograd/gradcheck.py can be cleaned up by removing the code that deals with sparse tensors. cc alexsamardzic nikitaved cpuhrsch amjames bhosmer ezyang albanD zou3519 gqchen soulitzer Lezcano Varal7 [ghstack-poisoned]
|
@pytorchbot merge |
Merge startedYour change will be merged once all checks pass (ETA 0-4 Hours). Learn more about merging in the wiki. Questions? Feedback? Please reach out to the PyTorch DevX Team |
voznesenskym
pushed a commit
that referenced
this pull request
Aug 27, 2023
…ws gradcheck input function to receive and return sparse tensors (#107150) Compared to #104848, this PR makes a step further: when the enable_sparse_support decorator is applied to `torch.autograd.gradcheck`, the resulting callable is equivalent to `torch.autograd.gradcheck` with an extra feature of supporting functions that can have input sparse tensors or/and can return sparse tensors. At the same time, the underlying call to `torch.autograd.gradcheck` will operate on strided tensors only. This basically means that torch/autograd/gradcheck.py can be cleaned up by removing the code that deals with sparse tensors. Pull Request resolved: #107150 Approved by: https://github.com/albanD, https://github.com/amjames, https://github.com/cpuhrsch ghstack dependencies: #107638, #107777
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Compared to #104848, this PR makes a step further: when the enable_sparse_support decorator is applied to
torch.autograd.gradcheck, the resulting callable is equivalent totorch.autograd.gradcheckwith an extra feature of supporting functions that can have input sparse tensors or/and can return sparse tensors.At the same time, the underlying call to
torch.autograd.gradcheckwill operate on strided tensors only. This basically means that torch/autograd/gradcheck.py can be cleaned up by removing the code that deals with sparse tensors.Stack from ghstack (oldest at bottom):
cc @alexsamardzic @nikitaved @cpuhrsch @amjames @bhosmer @ezyang @albanD @zou3519 @gqchen @soulitzer @lezcano @Varal7