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3,342 contributions in the last year
Contribution activity
May 2020
Created a pull request in pytorch/pytorch that received 5 comments
Stop defining static data in Vec256
Stack from ghstack: #37767 Stop defining static data in Vec256 Fixes #37577 Needs tests, and maybe a lint. Signed-off-by: Edward Z. Yang ezyang@f…
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- Add minimal skeleton for _C type stubs, delete torch.autograd stub
- Fix typo: TupleUnpack.
- Get rid of javasphinx dependency.
- Give _VariableFunctions class a different name, so pickling works
- Fix lint
- Back out "Revert D21171334: [pytorch][PR] Change StorageImpl to track byte count rather than element count"
- Revert "Revert D21337640: [pytorch][PR] Split up documentation into subpages and clean up some warnings"
- Change StorageImpl to track byte count rather than element count (#37028)
- Split up documentation into subpages and clean up some warnings
- fix multinomial kernels to properly advance random states
- Remove codegen for IntArrayRefStride, which isn't used.
- Fix minor issue in type stub for Optimizer
- Replace torch.is_tensor usages with isinstance checks.
- Add links to more subdir READMEs in CONTRIBUTING.md
- Fix ldflags string for HIPExtensions
- Set SCCACHE_IDLE_TIMEOUT to INFINITE(0) on Windows
- Have Device available in torch namespace
- Batchnorm now always updates var and mean inplace
- Have DeviceType available in torch namespace
- Fix torch.tensor dtype inference
- Sparse softmax support (CPU)
- Add --check-untyped-defs to mypy.ini and test suite
- cmake: improve dependencies in incremental builds
- Add `__init__.py` to `test/quantization` folder
- Include the value of unsupported scalarType and layout in the error message
- Delay loading the cuda library on Windows
- Devirtualize device init calls in factory op wrappers
- stop creating integer type Tensors that require gradients
- [Caffe2] Increase timing threshold to 50 ms on Windows
- Warn against callOp
- Port register_prim_ops_c10.cpp to new registration API
- Use TensorMethods.cpp
- CSPRNG PoC
- Move device type init from BackendSelect to backend kernels
- Some pull request reviews not shown.
Created an issue in pytorch/pytorch that received 8 comments
Better testing on CPUs without AVX capabilities
#37577 is the latest occurrence of cases where we broke users with non-AVX CPUs because we accidentally let AVX instructions sneak in to code that …
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comments