Two fixes involving minimal builds - #17000
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- allocation planner was breaking if graph had no nodes - in this particular model a branch of an If node returned an outer scope value directly. - if model used non-tensor types and sparse tensors are disabled the call to IsSpareTensor causes an exception when prematurely terminates the code. - it's perfectly fine to check if a value is a sparse tensor when support for them is disabled. we just can't do anything with that OrtValue which is what the current ifdef's after the call to IsSparseTensor handle.
- Update required ops for tests.
- Manually updated required_ops.config
- diffs with current version are massive and the config generation doesn't handle invalid model (we have one to test invalid external data).
- updated required_ops_and_types.config as per readme
- Not sure why there's a big gap in the configs. Unit tests for minimal build must not be using all the ORT format models which is understandable as testing a minimal build vs minimal build with operator reduction are two separate types of usage.
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edgchen1
previously approved these changes
Aug 22, 2023
edgchen1
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Aug 23, 2023
edgchen1
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Aug 23, 2023
Lafi7e
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Aug 28, 2023
### Description <!-- Describe your changes. --> - allocation planner was breaking if graph had no nodes - in this particular model a branch of an If node returned an outer scope value directly. - if model used non-tensor types and sparse tensors are disabled the call to IsSpareTensor causes an exception when prematurely terminates the code. - it's perfectly fine to check if a value is a sparse tensor when support for them is disabled. we just can't do anything with that OrtValue which is what the current ifdef's after the call to IsSparseTensor handle. ### Motivation and Context <!-- - Why is this change required? What problem does it solve? - If it fixes an open issue, please link to the issue here. --> Fix model execution failure for partner with model that uses sequences in a minimal build with sparse tensors disabled.
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snnn
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Aug 28, 2023
Cherry-pick 1st round for rel-1.16.0 from https://github.com/microsoft/onnxruntime/issues?q=label%3Arelease%3A1.16+label%3Atriage%3Aapproved+is%3Aclosed except #17201 because it caused UT failure and is not fixed yet. PR list: #16417 #16936 #17000 #17236 #17238 #17240 #17252 #17255 #17258 #17265 #17267 #17277
kleiti
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Mar 22, 2024
### Description <!-- Describe your changes. --> - allocation planner was breaking if graph had no nodes - in this particular model a branch of an If node returned an outer scope value directly. - if model used non-tensor types and sparse tensors are disabled the call to IsSpareTensor causes an exception when prematurely terminates the code. - it's perfectly fine to check if a value is a sparse tensor when support for them is disabled. we just can't do anything with that OrtValue which is what the current ifdef's after the call to IsSparseTensor handle. ### Motivation and Context <!-- - Why is this change required? What problem does it solve? - If it fixes an open issue, please link to the issue here. --> Fix model execution failure for partner with model that uses sequences in a minimal build with sparse tensors disabled.
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Description
allocation planner was breaking if graph had no nodes
if model used non-tensor types and sparse tensors are disabled the call to IsSpareTensor causes an exception when prematurely terminates the code.
Motivation and Context
Fix model execution failure for partner with model that uses sequences in a minimal build with sparse tensors disabled.