pytorch/torch/cuda
David Riazati 59d71b9664 Bicubic interpolation for nn.functional.interpolate (#9849)
Summary:
Addresses #918, interpolation results should be similar to tf

* Adds bicubic interpolation operator to `nn.functional.interpolate`
* Corresponding test in `test_nn.py`

The operator is added in legacy `TH` to be aligned with the other upsampling operators; they can be refactored/moved to ATen all at once when #10482 is resolved
Pull Request resolved: https://github.com/pytorch/pytorch/pull/9849

Differential Revision: D9007525

Pulled By: driazati

fbshipit-source-id: 93ef49a34ce4e5ffd4bda94cd9a6ddc939f0a4cc
2018-12-17 15:31:48 -08:00
..
__init__.py Bicubic interpolation for nn.functional.interpolate (#9849) 2018-12-17 15:31:48 -08:00
_utils.py _get_device_index supports parsing device strings 2018-12-09 21:12:46 -08:00
comm.py Give broadcast_coalesced tensors different version counters (#13594) 2018-11-07 21:49:35 -08:00
error.py
nccl.py
nvtx.py
profiler.py
random.py
sparse.py
streams.py record unit time in torch.cuda.event (#15221) 2018-12-14 15:29:06 -08:00