Mike Ruberry
fe276d541e
Revert D20541921: [pytorch][PR] [RELAND] Eager autocasting, out-of-place ops only (with MSVC 2017 fix)
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Test Plan: revert-hammer
Differential Revision:
D20541921
Original commit changeset: abb5488dca86
fbshipit-source-id: d2c6038978f80e5429632f8b49107090a8a247f4
2020-03-19 22:39:12 -07:00
Michael Carilli
991b97277a
[RELAND] Eager autocasting, out-of-place ops only (with MSVC 2017 fix) ( #35011 )
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Summary:
https://github.com/pytorch/pytorch/pull/32140 was approved and merged, but [reverted](d0577e19f0https://developercommunity.visualstudio.com/content/problem/27729/allow-function-with-internal-linkage-as-template-n.html ), fixed in versions 15.8 and newer.
The present PR reverts the revert (restoring https://github.com/pytorch/pytorch/pull/32140 's diffs) and adds a workaround to enable compilation with VS < 15.8. The workaround isn't pretty, but it's guarded by macros such that it's only used when compiling with VS < 15.8. All other builds compile with the same code/control flow as was merged in https://github.com/pytorch/pytorch/pull/32140 .
Original description of https://github.com/pytorch/pytorch/pull/32140 :
> Initial integration of eager autocasting, supporting out-of-place ops only for easier review.
Relevant issue/RFC: https://github.com/pytorch/pytorch/issues/25081
> In-place ops and ops with user-supplied out=... can certainly be supported as well (my initial WIP https://github.com/pytorch/pytorch/issues/29552 handled many) but require substantially more complex special casing in the autocasting backend and tests. Support for these ops (much of which has already been written) will be broken into later PRs.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/35011
Differential Revision: D20541921
Pulled By: ezyang
fbshipit-source-id: abb5488dca8620b0daac4306ebf2bb47fc36e4f5
2020-03-19 20:18:18 -07:00
Edward Yang
d0577e19f0
Revert D20346700: [pytorch][PR] Eager autocasting, out-of-place ops only
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Test Plan: revert-hammer
Differential Revision:
D20346700
Original commit changeset: 12d77b391731
fbshipit-source-id: 108d72bf24232f443c0be293ec932c0c478d6a60
2020-03-18 11:42:51 -07:00
Michael Carilli
aaa8f02156
Eager autocasting, out-of-place ops only ( #32140 )
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Summary:
Initial integration of eager autocasting, supporting out-of-place ops only for easier review.
Relevant issue/RFC: https://github.com/pytorch/pytorch/issues/25081
In-place ops and ops with user-supplied `out=...` can certainly be supported as well (my initial WIP https://github.com/pytorch/pytorch/pull/29552 handled many) but require substantially more complex special casing in the autocasting backend and tests. Support for these ops (much of which has already been written) will be broken into later PRs.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/32140
Differential Revision: D20346700
Pulled By: ezyang
fbshipit-source-id: 12d77b3917310186fbddf11c59b2794dc859131f
2020-03-18 10:28:21 -07:00
Edward Yang
690d41f24e
Centralize addition of "always on" dispatch keys. ( #32734 )
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Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/32734
VariableTensorId is the only key with this treatment today,
but BackendSelect and CompoundOp are coming soon.
Signed-off-by: Edward Z. Yang <ezyang@fb.com>
Test Plan: Imported from OSS
Differential Revision: D19628091
Pulled By: ezyang
fbshipit-source-id: 250753f90528fa282af7a18d8d2f7736382754bd
2020-01-30 11:49:40 -08:00
Edward Yang
5ddd2cd92b
Make DispatchKeyGuards accept DispatchKey::Undefined ( #32729 )
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Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/32729
When working on the vmap prototype I noticed that this was helpful
as it lets me easily initialize a no-op guard, if I need to do it
at constructor time (which I usually do, because the guards don't
have move constructors).
Signed-off-by: Edward Z. Yang <ezyang@fb.com>
Test Plan: Imported from OSS
Differential Revision: D19628092
Pulled By: ezyang
fbshipit-source-id: d6259a3f70d287cdac2e4a5f3984e2880f19bdc2
2020-01-30 11:49:35 -08:00
Pavel Belevich
62b06b9fae
Rename TensorTypeId to DispatchKey ( #32154 )
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Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/32154
TensorTypeId -> DispatchKey
c10/core/TensorTypeId.h -> c10/core/DispatchKey.h
c10/core/TensorTypeId.cpp -> c10/core/DispatchKey.cpp
TensorTypeId::* -> DispatchKey::*
TensorTypeId type_id -> DispatchKey dispatch_key
type_id -> dispatch_key
TensorTypeId::NumTensorIds -> DispatchKey::NumDispatchKeys
RealTensorTypeId -> RealDispatchKey
TensorTypeSet -> DispatchKeySet
TensorTypeIds -> DispatchKeys
c10/core/TensorTypeSet.h -> c10/core/DispatchKeySet.h
c10/core/TensorTypeSet.cpp -> c10/core/DispatchKeySet.cpp
type_set() -> key_set()
type_set_ -> key_set_
typeSet -> keySet
ExcludeTensorTypeIdGuard -> ExcludeDispatchKeyGuard
IncludeTensorTypeIdGuard -> IncludeDispatchKeyGuard
LocalTensorTypeSet -> LocalDispatchKeySet
c10/core/impl/LocalTensorTypeSet.h -> c10/core/impl/LocalDispatchKeySet.h
c10/core/impl/LocalTensorTypeSet.cpp -> c10/core/impl/LocalDispatchKeySet.cpp
tls_local_tensor_type_set -> tls_local_dispatch_key_set
tls_is_tensor_type_id_excluded -> tls_is_dispatch_key_excluded
tls_set_tensor_type_id_excluded -> tls_set_dispatch_key_excluded
tls_is_tensor_type_id_included -> tls_is_dispatch_key_included
tls_set_tensor_type_id_included -> tls_set_dispatch_key_included
MultiDispatchTensorTypeSet -> MultiDispatchKeySet
multi_dispatch_tensor_type_set -> multi_dispatch_key_set
tensorTypeIdToBackend -> dispatchKeyToBackend
backendToTensorTypeId -> backendToDispatchKey
initForTensorTypeSet -> initForDispatchKeySet
inferred_type_set -> inferred_key_set
computeTensorTypeId -> computeDispatchKey
PODLocalTensorTypeSet raw_local_tensor_type_set -> PODLocalDispatchKeySet raw_local_dispatch_key_set
get_default_tensor_type_id -> get_default_dispatch_key
inferred_type_id -> inferred_dispatch_key
actual_type_id -> actual_dispatch_key
typeSetToDispatchKey_ -> dispatchKeySetToDispatchKey_
get_type_id() -> get_dispatch_key()
legacyExtractTypeId -> legacyExtractDispatchKey
extractTypeId -> extractDispatchKey
Test Plan: Imported from OSS
Differential Revision: D19398900
Pulled By: pbelevich
fbshipit-source-id: 234ad19f93d33e00201b61e153b740a339035776
2020-01-15 11:16:08 -08:00
