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292 contributions in the last year
Activity overview
Contributed to
pytorch/pytorch,
pytorch/nestedtensor,
python/psf-infra-meta
and 5 other
repositories
Contribution activity
May 2020
Created a pull request in pytorch/pytorch that received 5 comments
[CPU] addmv for complex tensors
Stack from ghstack: #37940 [CUDA] addmv for complex tensors #37924 [CPU] addmv for complex tensors Differential Revision: D21429384
+31
−6
•
5
comments
- More separate autograd tests for complex
- Add more autograd tests for complex
- [CUDA] addcmul and addcdiv for complex dtypes
- [CUDA] torch.roll for complex dtypes
- Add autograd tests for complex
- Add tests for complex
- Add tan_cuda for complex dtypes
- Added autograd tests, disabled jit autograd tests for complex and added a separate list for tests for complex dtype only
- tan_cuda for complex dtypes
- Added more tests and a separate list for tests for complex dtype only
- Have Device available in torch namespace
- Have DeviceType available in torch namespace
- Fix complex tensor printing
- Fix torch.tensor dtype inference
- sum and roll on cuda for complex dtypes
- [CUDA] addmv for complex tensors
- Use torch.ne instead of torch.nonzero in gradcheck
- Added more autograd tests for C->C complex functions
- Fixed gradcheck for complex
- updated create input and add test methods and added a whitelist for complex
- Run storage tests only on CPU and CUDA (not xla)
- Remove duplicate complex types list in tests
- support flip and rot90 for complex dtype
- Add tanh_cuda support for complex types
- support complex types for tanh_backward_cpu
- Refactor c10::complex and cleanup c10::Scalar
- `torch.pow` Add type promotion support and fix issue with __rpow__
- Add complex support for torch.sum
- Kill AT_DISPATCH_ALL_TYPES_AND_C10_COMPLEX_AND2
- Migrate CPU min max to c10::complex
- Migrate CPU clamp to c10::complex
- Add arcosh, arcsinh and arctanh to unary ops
- port `scatter_add` to ATen (CUDA)
- Kill AT_DISPATCH_ALL_TYPES_AND_C10_COMPLEX
- Add std::log1p for c10::complex
- Implements torch.pow for complex on cuda and enables complex values as exponents for pow
- Remove asserEqualIgnoreType from test_complex
- Migrate CPU reduction to c10::complex
- Migrate CPU cross and some elementwise to c10::complex
- Migrate CPU tensor factories to c10::complex
- Refactor native/cpu/zmath.h
- Add `torch.logcumsumexp`
- [Resubmit] Migrate AT_DISPATCH_ALL_TYPES_AND_COMPLEX_AND3 to c10::complex
- Migrate CPU fill kernel to c10::complex
- Get rid of javasphinx dependency.
- Batchnorm now always updates var and mean inplace
- Some pull request reviews not shown.
Created an issue in pytorch/pytorch that received 3 comments
torch.addmv can't take as input tensors with different dtypes
Is this expected?
>>> vec = torch.randn(3, dtype=torch.half)
>>> M = torch.randn(2, dtype=torch.float)
>>> mat = torch.randn(2, 3, dtype=torch.floa…
3
comments