Summary:
Things changed in this PR that requires review:
1. aten/src/ATen/core/interned_strings.h
2. torch/csrc/jit/ir/alias_analysis.h : exposing createValue to allow efficient mutation
3. torch/csrc/jit/runtime/symbolic_shape_registry.cpp : added gelu/tanh/erf in registry
4. torch/jit/_script.py : throws scripting model sees autocast as decorator since it's not supported
nvfuser code update:
1. codegen improvements and performance tuning
2. integration bug fixes for shape expression logic
3. kernel segmentation update to address perf regression from horizontal fusion
4. scalar cpu tensor promotion to support inter-device operation between cpu scalar tensor and cuda tensor
Things reverted from local changes:
aten::gelu with approximation (tracked in PR: https://github.com/pytorch/pytorch/pull/61439)
Pull Request resolved: https://github.com/pytorch/pytorch/pull/72127
Reviewed By: HamidShojanazeri
Differential Revision: D34113233
Pulled By: jbschlosser
fbshipit-source-id: b82cde32b71e324eca0ea57cb8c9f9647278ca74
(cherry picked from commit e009bc5c4e943211c4953e6fdf7c9913fa66b3c9)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/69964
Things added in this PR that requires review:
1. cuLaunchCooperativeKernel driver API added
aten/src/ATen/cuda/detail/LazyNVRTC.cpp
aten/src/ATen/cuda/nvrtc_stub/ATenNVRTC.h
nvfuser code update:
1. perf turning on codegen scheduler that improves performance.
2. permutation support has been extended beyond contiguous/channels-last. (The improvements could be observed on PW benchmark)
Things reverted from local changes:
1. aten::gelu with approximation
2. local changes that is upstreamed in PR https://github.com/pytorch/pytorch/issues/68804
Pull Request resolved: https://github.com/pytorch/pytorch/pull/69428
Reviewed By: ngimel
Differential Revision: D33073817
Pulled By: wconstab
fbshipit-source-id: e77d32e81d037d7370822b040456fd4c3bd68edb
Summary:
nvfuser code update:
1. Tuning heuristics on schedulers for reduction/normalization kernels;
2. bfloat16 on IO tensor support;
3. Refactored memory format support, now we can support dimension collapsing with non-coherent input tensors with different memory format. e.g. channels last tensor input to batch normalization. Note that we are currently limiting memory format to only Contiguous and Channels last;
4. Refactored nvfuser graph partitioning in `graph_fuser.cpp`, separated node merge and profile node API. Updated `profiling_record.cpp`.
Things that are reverted from our local branch:
1. changes on some entries in autodiff
2. aten::gelu with approximation
3. native_dropout(_backward)
Pull Request resolved: https://github.com/pytorch/pytorch/pull/67943
Reviewed By: ngimel
Differential Revision: D32288709
Pulled By: dzhulgakov
fbshipit-source-id: fc9491182ea7e0158bc112c66f096823c588eaf1
Summary:
Syncing nvfuser code base from devel branch, Listing a few of our development since last sync:
- Extends support to normalization and reduction kernels.
- Multiple kernel launch for single `CudaFusionGroup`. Hierarchical caching system has been updated to cache graph segmentation.
- profile_ivalue is enabled to convert dynamic scalar into compile time constants, which are required by the codegen. (e.g. reduction axes).
To keep this PR simple and relatively review-free. We stripped most external changes and submitted them as separate PRs, so this gigantic PR is easier to handle.
internal updates are files located in:
1. updates in nvfuser codegen `torch/csrc/jit/coddgen/cuda`
2. added nvfuser specific benchmarks `benchmarks/cpp/nvfuser`
3. nvfuser jit cpp tests `test/cpp/jit/test_gpu.cpp` `test/cpp/jit/test_gpu_shift.cpp` `test/cpp/jit/test_gpu_validator.h`
updates affecting integration:
1. profile_ivalue enabled for nvfuser. related changes are in `torch/csrc/jit/runtime/*`,
2. exposed a few more symbols `aten/src/ATen/core/*` used by codegen
Pull Request resolved: https://github.com/pytorch/pytorch/pull/63745
Reviewed By: saketh-are
Differential Revision: D30752939
Pulled By: malfet
fbshipit-source-id: ce122e80f01bcd3865f5bd3c4dfde660665fd84c
