Sean Silva 78d2cc0818 Make `torch.copy.tensor` canonicalization a bit smarter. ... This removes most of the trivial cases that MaximizeValueSemantics needs to handle, making it easier to see the nontrivial cases.		2021-06-17 18:11:58 -07:00
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GlobalizeObjectGraph	Add `torch.vtensor.literal` op.	2021-06-17 14:37:04 -07:00
adjust-calling-conventions.mlir	Introduce native `!torch.none` type.	2021-06-14 13:30:58 -07:00
canonicalize.mlir	Make `torch.copy.tensor` canonicalization a bit smarter.	2021-06-17 18:11:58 -07:00
finalizing-backend-type-conversion.mlir	Add a !torch.float type.	2021-06-17 09:24:18 -07:00
func-backend-type-conversion.mlir	Add a !torch.float type.	2021-06-17 09:24:18 -07:00
inline-global-slots.mlir	Add `torch.vtensor.literal` op.	2021-06-17 14:37:04 -07:00
invalid.mlir	Add `torch.vtensor.literal` op.	2021-06-17 14:37:04 -07:00
maximize-value-semantics.mlir	Introduce `!torch.tensor` / `!torch.vtensor` types.	2021-06-10 10:56:48 -07:00
ops.mlir	Add `torch.vtensor.literal` op.	2021-06-17 14:37:04 -07:00
prepare-for-globalize-object-graph.mlir	Add a !torch.float type.	2021-06-17 09:24:18 -07:00
reduce-op-variants.mlir	Add `torch.vtensor.literal` op.	2021-06-17 14:37:04 -07:00
refine-public-return.mlir	Introduce `!torch.tensor` / `!torch.vtensor` types.	2021-06-10 10:56:48 -07:00
refine-types.mlir	Add `!torch.int` type.	2021-06-17 07:28:23 -07:00