zjgarvey de28c8540b [ONNX] add int16 quantization support (#3446) ... There is currently no int16 quantization support in torch. This patch adds a new mlir type to correspond to the missing "torch.qint16" type, and enables lowering of quantization-related onnx ops using int16 types. In follow-up patches, custom quantization logic for ops like aten.matmul/aten.mm/aten.convolution may need to be revisited to allow support for qint16. The passes in FuseQuantizedOps.cpp may also need slight modifications.		2024-06-12 10:37:22 +05:30
..
GlobalizeObjectGraph	[torch-mlir][test] cleanup trailing whitespace in mlir files (#2806)	2024-01-25 14:24:13 -08:00
adjust-calling-conventions.mlir	Clean up verification of calling conventions.	2023-07-20 20:08:46 +02:00
canonicalize.mlir	Representing Symbolic Shape Expressions in Torch Dialect (#3372)	2024-06-07 04:04:03 -07:00
decompose-complex-ops-legal.mlir	handles 2,3,4 from https://github.com/llvm/torch-mlir/issues/1963 (#1964)	2023-03-24 21:50:01 -05:00
decompose-complex-ops.mlir	[Torch] Fix bugs for `Torch::AtenOneHotOp` (#3350)	2024-05-22 17:19:08 +00:00
drop-abstract-interp-calculations.mlir	[custom op] Generalize shape library logic to work with dtypes (#1594)	2022-12-13 08:25:41 -08:00
erase-module-initializer.mlir	Iteratively run the main simplification pipeline.	2022-08-17 14:54:33 -07:00
fuse-quantized-ops.mlir	Generalize Operand Quantization in FuseQuantizeOps (#3327)	2024-05-12 20:49:59 -07:00
inline-global-slots-analysis.mlir	Rework how global slot initializers work.	2022-08-08 18:12:06 -07:00
inline-global-slots-transform.mlir	Rework how global slot initializers work.	2022-08-08 18:12:06 -07:00
invalid.mlir	Representing Symbolic Shape Expressions in Torch Dialect (#3372)	2024-06-07 04:04:03 -07:00
lower-to-backend-contract-error.mlir	Allow running DecomposeComplexOps more than once (#1671)	2022-12-08 09:26:38 -08:00
match-quantized-customs-ops.mlir	[torch-mlir][test] cleanup trailing whitespace in mlir files (#2806)	2024-01-25 14:24:13 -08:00
maximize-value-semantics.mlir	Add alias analysis for cast-like ops to maximize-value-semantics (#2160)	2023-05-25 17:05:41 +00:00
ops.mlir	[ONNX] add int16 quantization support (#3446)	2024-06-12 10:37:22 +05:30
prepare-for-globalize-object-graph.mlir	mlir: bump llvm tag to 5380e3 (#856)	2022-05-16 12:54:35 -07:00
reduce-op-variants-error.mlir	mlir: bump llvm tag to 5380e3 (#856)	2022-05-16 12:54:35 -07:00
reduce-op-variants.mlir	[torch] Fix tm_tensor.attention for end-to-end (#2907)	2024-02-13 21:18:01 -08:00
refine-public-return.mlir	Support `DerefineOp` in `RefinePublicReturn`.	2023-07-20 20:08:46 +02:00
reify-dtype-calculations.mlir	Breakup python pytorch deps (#2582)	2023-11-19 12:10:19 -08:00
reify-shape-calculations.mlir	Cast `number` to `float` when shape function takes Scalar arg (#1978)	2023-03-28 09:30:31 -07:00
scalarize-shapes.mlir	[torch] Improve shape inference for `torch-to-linalg` path for reshapes (#3055)	2024-03-26 12:41:40 -07:00
simplify-dtype-calculations.mlir	[MLIR][TORCH] Add E2E support for view_as_real op (#2419)	2023-09-01 21:12:01 -07:00
simplify-shape-calculations.mlir	[torch-mlir][test] cleanup trailing whitespace in mlir files (#2806)	2024-01-25 14:24:13 -08:00
torch-function-to-torch-backend-pipeline.mlir	[Torch Dialect] fix torch.uint8's dtype infer (#2227)	2023-06-13 10:38:20 +08:00
torch-nary-canonicalize.mlir	[torch] Folders for `torch.aten.*.tensor` operators [add, sub, mul] (#2878)	2024-02-19 10:28:23 -08:00
verify-backend-contract-error.mlir	Clean up verification of calling conventions.	2023-07-20 20:08:46 +02:00
verify-backend-contract-unimplemented-op.mlir	LowerToBackendContract: Explicitly error out on unimplemented operator (#1947)	2023-03-20 16:27:08 +01:00