Split up jagged_tensor_ops.cu for build perf
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This pull request was exported from Phabricator. Differential Revision: D45021218 |
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Summary: Pull Request resolved: pytorch#1753 Splitting up `jagged_tensor_ops.cu` reduces build times on a test system from 179s->124s. This change moves most functions in `jagged_tensor_ops.cu` into their own files. It moves the inline function `asynchronous_complete_cumsum` into its own implementation file and makes it no longer inline. A macro `FBGEMM_DISPATCH_TO_CUDA_STANDALONE` is introduced which allows per-file registration of operators, thereby preventing the need to add a whole mess of headers. `SharedMemory` is removed from `common.cuh` and we instead rely on the one in `fbgemm_cuda_utils.cuh`. The `const` qualifier may have been added in a few places because it's a good idea. Reviewed By: simpkins Differential Revision: D45021218 fbshipit-source-id: b42b97bfee0f71320353c8dc269aaeef90b82ba5
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This pull request was exported from Phabricator. Differential Revision: D45021218 |
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Summary: Pull Request resolved: pytorch#1753 Splitting up `jagged_tensor_ops.cu` reduces build times on a test system from 179s->124s. This change moves most functions in `jagged_tensor_ops.cu` into their own files. It moves the inline function `asynchronous_complete_cumsum` into its own implementation file and makes it no longer inline. A macro `FBGEMM_DISPATCH_TO_CUDA_STANDALONE` is introduced which allows per-file registration of operators, thereby preventing the need to add a whole mess of headers. `SharedMemory` is removed from `common.cuh` and we instead rely on the one in `fbgemm_cuda_utils.cuh`. The `const` qualifier may have been added in a few places because it's a good idea. Reviewed By: sryap, simpkins Differential Revision: D45021218 fbshipit-source-id: c742a84ad45decfd06d3bf2ce30794d1b8838066
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This pull request was exported from Phabricator. Differential Revision: D45021218 |
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This pull request was exported from Phabricator. Differential Revision: D45021218 |
r-barnes
added a commit
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May 8, 2023
Summary: Pull Request resolved: pytorch#1753 Splitting up `jagged_tensor_ops.cu` reduces build times on a test system from 179s->124s. This change moves most functions in `jagged_tensor_ops.cu` into their own files. It moves the inline function `asynchronous_complete_cumsum` into its own implementation file and makes it no longer inline. A macro `FBGEMM_DISPATCH_TO_CUDA_STANDALONE` is introduced which allows per-file registration of operators, thereby preventing the need to add a whole mess of headers. `SharedMemory` is removed from `common.cuh` and we instead rely on the one in `fbgemm_cuda_utils.cuh`. The `const` qualifier may have been added in a few places because it's a good idea. Reviewed By: sryap, simpkins Differential Revision: D45021218 fbshipit-source-id: 329b890cf5b4c724805da5d827d215365e7519e3
r-barnes
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May 8, 2023
Summary: Pull Request resolved: pytorch#1753 Splitting up `jagged_tensor_ops.cu` reduces build times on a test system from 179s->124s. This change moves most functions in `jagged_tensor_ops.cu` into their own files. It moves the inline function `asynchronous_complete_cumsum` into its own implementation file and makes it no longer inline. A macro `FBGEMM_DISPATCH_TO_CUDA_STANDALONE` is introduced which allows per-file registration of operators, thereby preventing the need to add a whole mess of headers. `SharedMemory` is removed from `common.cuh` and we instead rely on the one in `fbgemm_cuda_utils.cuh`. The `const` qualifier may have been added in a few places because it's a good idea. Reviewed By: sryap, simpkins Differential Revision: D45021218 fbshipit-source-id: 159ef7325108729a2c6b13daba7a993d91b76cd9
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This pull request was exported from Phabricator. Differential Revision: D45021218 |
r-barnes
added a commit
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that referenced
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May 8, 2023
Summary: Pull Request resolved: pytorch#1753 Splitting up `jagged_tensor_ops.cu` reduces build times on a test system from 179s->124s. This change moves most functions in `jagged_tensor_ops.cu` into their own files. It moves the inline function `asynchronous_complete_cumsum` into its own implementation file and makes it no longer inline. A macro `FBGEMM_DISPATCH_TO_CUDA_STANDALONE` is introduced which allows per-file registration of operators, thereby preventing the need to add a whole mess of headers. `SharedMemory` is removed from `common.cuh` and we instead rely on the one in `fbgemm_cuda_utils.cuh`. The `const` qualifier may have been added in a few places because it's a good idea. Reviewed By: sryap, simpkins Differential Revision: D45021218 fbshipit-source-id: 4e014ffec41feb97b7fabbf8901b37145cfc44b0
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This pull request was exported from Phabricator. Differential Revision: D45021218 |
r-barnes
added a commit
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May 8, 2023
Summary: Pull Request resolved: pytorch#1753 Splitting up `jagged_tensor_ops.cu` reduces build times on a test system from 179s->124s. This change moves most functions in `jagged_tensor_ops.cu` into their own files. It moves the inline function `asynchronous_complete_cumsum` into its own implementation file and makes it no longer inline. A macro `FBGEMM_DISPATCH_TO_CUDA_STANDALONE` is introduced which allows per-file registration of operators, thereby preventing the need to add a whole mess of headers. `SharedMemory` is removed from `common.cuh` and we instead rely on the one in `fbgemm_cuda_utils.cuh`. The `const` qualifier may have been added in a few places because it's a good idea. Reviewed By: sryap, simpkins Differential Revision: D45021218 fbshipit-source-id: ef4939a227feb8b79951fedff5180250a0d1ac42
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This pull request was exported from Phabricator. Differential Revision: D45021218 |
r-barnes
added a commit
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May 8, 2023
Summary: Pull Request resolved: pytorch#1753 Splitting up `jagged_tensor_ops.cu` reduces build times on a test system from 179s->124s. This change moves most functions in `jagged_tensor_ops.cu` into their own files. It moves the inline function `asynchronous_complete_cumsum` into its own implementation file and makes it no longer inline. A macro `FBGEMM_DISPATCH_TO_CUDA_STANDALONE` is introduced which allows per-file registration of operators, thereby preventing the need to add a whole mess of headers. `SharedMemory` is removed from `common.cuh` and we instead rely on the one in `fbgemm_cuda_utils.cuh`. The `const` qualifier may have been added in a few places because it's a good idea. Reviewed By: sryap, simpkins Differential Revision: D45021218 fbshipit-source-id: 8e99a17519f3d71b84eaeace3d26060a77ee1185
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This pull request was exported from Phabricator. Differential Revision: D45021218 |
r-barnes
added a commit
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May 9, 2023
Summary: Pull Request resolved: pytorch#1753 Splitting up `jagged_tensor_ops.cu` reduces build times on a test system from 179s->124s. This change moves most functions in `jagged_tensor_ops.cu` into their own files. It moves the inline function `asynchronous_complete_cumsum` into its own implementation file and makes it no longer inline. A macro `FBGEMM_DISPATCH_TO_CUDA_STANDALONE` is introduced which allows per-file registration of operators, thereby preventing the need to add a whole mess of headers. `SharedMemory` is removed from `common.cuh` and we instead rely on the one in `fbgemm_cuda_utils.cuh`. The `const` qualifier may have been added in a few places because it's a good idea. Reviewed By: sryap, simpkins Differential Revision: D45021218 fbshipit-source-id: 6a82925fee60cec4bec9e57435e3f1d194b57c9b
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This pull request was exported from Phabricator. Differential Revision: D45021218 |
r-barnes
added a commit
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May 9, 2023
Summary: Pull Request resolved: pytorch#1753 Splitting up `jagged_tensor_ops.cu` reduces build times on a test system from 179s->124s. This change moves most functions in `jagged_tensor_ops.cu` into their own files. It moves the inline function `asynchronous_complete_cumsum` into its own implementation file and makes it no longer inline. A macro `FBGEMM_DISPATCH_TO_CUDA_STANDALONE` is introduced which allows per-file registration of operators, thereby preventing the need to add a whole mess of headers. `SharedMemory` is removed from `common.cuh` and we instead rely on the one in `fbgemm_cuda_utils.cuh`. The `const` qualifier may have been added in a few places because it's a good idea. Reviewed By: sryap, simpkins Differential Revision: D45021218 fbshipit-source-id: 66962253aaabc9ca7b3dd4ea37acf9f0d5bbc842
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This pull request was exported from Phabricator. Differential Revision: D45021218 |
r-barnes
added a commit
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May 9, 2023
Summary: Pull Request resolved: pytorch#1753 Splitting up `jagged_tensor_ops.cu` reduces build times on a test system from 179s->124s. This change moves most functions in `jagged_tensor_ops.cu` into their own files. It moves the inline function `asynchronous_complete_cumsum` into its own implementation file and makes it no longer inline. A macro `FBGEMM_DISPATCH_TO_CUDA_STANDALONE` is introduced which allows per-file registration of operators, thereby preventing the need to add a whole mess of headers. `SharedMemory` is removed from `common.cuh` and we instead rely on the one in `fbgemm_cuda_utils.cuh`. The `const` qualifier may have been added in a few places because it's a good idea. Reviewed By: sryap, simpkins Differential Revision: D45021218 fbshipit-source-id: 14dca88bb28eeedc21ac807723732312dbc38071
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This pull request was exported from Phabricator. Differential Revision: D45021218 |
r-barnes
added a commit
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May 9, 2023
Summary: Pull Request resolved: pytorch#1753 Splitting up `jagged_tensor_ops.cu` reduces build times on a test system from 179s->124s. This change moves most functions in `jagged_tensor_ops.cu` into their own files. It moves the inline function `asynchronous_complete_cumsum` into its own implementation file and makes it no longer inline. A macro `FBGEMM_DISPATCH_TO_CUDA_STANDALONE` is introduced which allows per-file registration of operators, thereby preventing the need to add a whole mess of headers. `SharedMemory` is removed from `common.cuh` and we instead rely on the one in `fbgemm_cuda_utils.cuh`. The `const` qualifier may have been added in a few places because it's a good idea. Reviewed By: sryap, simpkins Differential Revision: D45021218 fbshipit-source-id: 54116f80350a8b754dd4784c864b77e24f4a6cf7
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This pull request was exported from Phabricator. Differential Revision: D45021218 |
r-barnes
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May 9, 2023
Summary: Pull Request resolved: pytorch#1753 Splitting up `jagged_tensor_ops.cu` reduces build times on a test system from 179s->124s. This change moves most functions in `jagged_tensor_ops.cu` into their own files. It moves the inline function `asynchronous_complete_cumsum` into its own implementation file and makes it no longer inline. A macro `FBGEMM_DISPATCH_TO_CUDA_STANDALONE` is introduced which allows per-file registration of operators, thereby preventing the need to add a whole mess of headers. `SharedMemory` is removed from `common.cuh` and we instead rely on the one in `fbgemm_cuda_utils.cuh`. The `const` qualifier may have been added in a few places because it's a good idea. Reviewed By: sryap, simpkins Differential Revision: D45021218 fbshipit-source-id: e6252e1d41742e89841db6027ae601020e50f7e2
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This pull request was exported from Phabricator. Differential Revision: D45021218 |
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Summary: Pull Request resolved: pytorch#1753 Splitting up `jagged_tensor_ops.cu` reduces build times on a test system from 179s->124s. This change moves most functions in `jagged_tensor_ops.cu` into their own files. It moves the inline function `asynchronous_complete_cumsum` into its own implementation file and makes it no longer inline. A macro `FBGEMM_DISPATCH_TO_CUDA_STANDALONE` is introduced which allows per-file registration of operators, thereby preventing the need to add a whole mess of headers. `SharedMemory` is removed from `common.cuh` and we instead rely on the one in `fbgemm_cuda_utils.cuh`. The `const` qualifier may have been added in a few places because it's a good idea. Reviewed By: sryap, simpkins Differential Revision: D45021218 fbshipit-source-id: bf0511f1579437d5fa40dc2ab9520c9b0df38d79
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Summary: Pull Request resolved: pytorch#1753 Splitting up `jagged_tensor_ops.cu` reduces build times on a test system from 179s->124s. This change moves most functions in `jagged_tensor_ops.cu` into their own files. It moves the inline function `asynchronous_complete_cumsum` into its own implementation file and makes it no longer inline. A macro `FBGEMM_DISPATCH_TO_CUDA_STANDALONE` is introduced which allows per-file registration of operators, thereby preventing the need to add a whole mess of headers. `SharedMemory` is removed from `common.cuh` and we instead rely on the one in `fbgemm_cuda_utils.cuh`. The `const` qualifier may have been added in a few places because it's a good idea. Reviewed By: sryap, simpkins Differential Revision: D45021218 fbshipit-source-id: 4485cf1c0aa28e58100342a4d13f72c8937336fe
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Summary: Pull Request resolved: pytorch#1753 Splitting up `jagged_tensor_ops.cu` reduces build times on a test system from 179s->124s. This change moves most functions in `jagged_tensor_ops.cu` into their own files. It moves the inline function `asynchronous_complete_cumsum` into its own implementation file and makes it no longer inline. A macro `FBGEMM_DISPATCH_TO_CUDA_STANDALONE` is introduced which allows per-file registration of operators, thereby preventing the need to add a whole mess of headers. `SharedMemory` is removed from `common.cuh` and we instead rely on the one in `fbgemm_cuda_utils.cuh`. The `const` qualifier may have been added in a few places because it's a good idea. Reviewed By: sryap, simpkins Differential Revision: D45021218 fbshipit-source-id: 5ad7d312b89b93f40bc268d206dbf470577ead81
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Summary: Pull Request resolved: pytorch#1753 Splitting up `jagged_tensor_ops.cu` reduces build times on a test system from 179s->124s. This change moves most functions in `jagged_tensor_ops.cu` into their own files. It moves the inline function `asynchronous_complete_cumsum` into its own implementation file and makes it no longer inline. A macro `FBGEMM_DISPATCH_TO_CUDA_STANDALONE` is introduced which allows per-file registration of operators, thereby preventing the need to add a whole mess of headers. `SharedMemory` is removed from `common.cuh` and we instead rely on the one in `fbgemm_cuda_utils.cuh`. The `const` qualifier may have been added in a few places because it's a good idea. Reviewed By: sryap, simpkins Differential Revision: D45021218 fbshipit-source-id: 47a7d01685ce694d8483fd6f77e34a27fb776cf6
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Summary: Pull Request resolved: pytorch#1753 Splitting up `jagged_tensor_ops.cu` reduces build times on a test system from 179s->124s. This change moves most functions in `jagged_tensor_ops.cu` into their own files. It moves the inline function `asynchronous_complete_cumsum` into its own implementation file and makes it no longer inline. A macro `FBGEMM_DISPATCH_TO_CUDA_STANDALONE` is introduced which allows per-file registration of operators, thereby preventing the need to add a whole mess of headers. `SharedMemory` is removed from `common.cuh` and we instead rely on the one in `fbgemm_cuda_utils.cuh`. The `const` qualifier may have been added in a few places because it's a good idea. Reviewed By: sryap, simpkins Differential Revision: D45021218 fbshipit-source-id: 4595b39f40e0bad7318b0458385bf00cbf2be8d6
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Summary:
Splitting up
jagged_tensor_ops.cureduces build times on a test system from 179s->124s.This change moves most functions in
jagged_tensor_ops.cuinto their own files.It moves the inline function
asynchronous_complete_cumsuminto its own implementation file and makes it no longer inline.A macro
FBGEMM_DISPATCH_TO_CUDA_STANDALONEis introduced which allows per-file registration of operators, thereby preventing the need to add a whole mess of headers.SharedMemoryis removed fromcommon.cuhand we instead rely on the one infbgemm_cuda_utils.cuh.The
constqualifier may have been added in a few places because it's a good idea.Reviewed By: simpkins
Differential Revision: D45021218