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add scalarization patterns to support dynamic pytorch pad exports #3838

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merged 13 commits into from
Nov 1, 2024
Merged

add scalarization patterns to support dynamic pytorch pad exports #3838

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8be3bcb
Add scalarization for view like ops and more complex slices
zjgarvey Oct 29, 2024
95623e7
Add a propagation pattern for transpose.int
zjgarvey Oct 30, 2024
4f0818f
Add some tests, remove uneccessary patterns
zjgarvey Oct 30, 2024
90789b8
fix bug in transpose propagation
zjgarvey Oct 30, 2024
9be3b6c
lint
zjgarvey Oct 30, 2024
2291f25
clean up dim calculation and notation
zjgarvey Nov 1, 2024
bd7cfa1
Add an include and modify shape inference
zjgarvey Nov 1, 2024
974c777
Merge remote-tracking branch 'upstream/main' into scalarize_dynamic_pad
zjgarvey Nov 1, 2024
69ff6c0
add import
zjgarvey Nov 1, 2024
bbbe10b
update shape inference library
zjgarvey Nov 1, 2024
9f3754e
add some more lit tests for transpose
zjgarvey Nov 1, 2024
8b99608
Merge remote-tracking branch 'upstream/main' into scalarize_dynamic_pad
zjgarvey Nov 1, 2024
af85a41
add more checks on dim
zjgarvey Nov 1, 2024
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62 changes: 60 additions & 2 deletions lib/Dialect/Torch/Transforms/AbstractInterpLibrary.cpp
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Original file line number Diff line number Diff line change
Expand Up @@ -10131,8 +10131,66 @@ StringRef mlir::torch::Torch::getAbstractInterpLibrary() {
" return %2 : !torch.tuple<list<int>, list<int>>\n"
" }\n"
" func.func @\"__torch_mlir_shape_fn.aten.slice.Tensor\"(%arg0: !torch.list<int>, %arg1: !torch.int, %arg2: !torch.optional<int>, %arg3: !torch.optional<int>, %arg4: !torch.int) -> !torch.list<int> {\n"
" %0 = call @__torch__.torch.jit._shape_functions.slice(%arg0, %arg1, %arg2, %arg3, %arg4) : (!torch.list<int>, !torch.int, !torch.optional<int>, !torch.optional<int>, !torch.int) -> !torch.list<int>\n"
" return %0 : !torch.list<int>\n"
" %int-1 = torch.constant.int -1\n"
" %none = torch.constant.none\n"
" %int0 = torch.constant.int 0\n"
" %int1 = torch.constant.int 1\n"
" %0 = torch.aten.__isnot__ %arg2, %none : !torch.optional<int>, !torch.none -> !torch.bool\n"
" %1 = torch.prim.If %0 -> (!torch.int) {\n"
" %9 = torch.prim.unchecked_cast %arg2 : !torch.optional<int> -> !torch.int\n"
" torch.prim.If.yield %9 : !torch.int\n"
" } else {\n"
" torch.prim.If.yield %int0 : !torch.int\n"
" }\n"
" %2 = torch.aten.__isnot__ %arg3, %none : !torch.optional<int>, !torch.none -> !torch.bool\n"
" %3 = torch.prim.If %2 -> (!torch.int) {\n"
" %9 = torch.prim.unchecked_cast %arg3 : !torch.optional<int> -> !torch.int\n"
" torch.prim.If.yield %9 : !torch.int\n"
" } else {\n"
" %9 = func.call @__torch__.torch.jit._shape_functions.max_int() : () -> !torch.int\n"
" torch.prim.If.yield %9 : !torch.int\n"
" }\n"
" %4 = torch.aten.lt.int %arg4, %int0 : !torch.int, !torch.int -> !torch.bool\n"
" %5:3 = torch.prim.If %4 -> (!torch.int, !torch.int, !torch.int) {\n"
" %9 = torch.aten.lt.int %1, %int0 : !torch.int, !torch.int -> !torch.bool\n"
" %10 = torch.prim.If %9 -> (!torch.int) {\n"
" %20 = torch.aten.__getitem__.t %arg0, %arg1 : !torch.list<int>, !torch.int -> !torch.int\n"
" %21 = torch.aten.add.int %1, %20 : !torch.int, !torch.int -> !torch.int\n"
" torch.prim.If.yield %21 : !torch.int\n"
" } else {\n"
" torch.prim.If.yield %1 : !torch.int\n"
" }\n"
" %11 = torch.aten.lt.int %10, %int0 : !torch.int, !torch.int -> !torch.bool\n"
" %12 = torch.prim.If %11 -> (!torch.int) {\n"
" torch.prim.If.yield %int0 : !torch.int\n"
" } else {\n"
" torch.prim.If.yield %10 : !torch.int\n"
" }\n"
" %13 = torch.aten.lt.int %3, %int0 : !torch.int, !torch.int -> !torch.bool\n"
" %14 = torch.prim.If %13 -> (!torch.int) {\n"
" %20 = torch.aten.__getitem__.t %arg0, %arg1 : !torch.list<int>, !torch.int -> !torch.int\n"
" %21 = torch.aten.add.int %3, %20 : !torch.int, !torch.int -> !torch.int\n"
" torch.prim.If.yield %21 : !torch.int\n"
" } else {\n"
" torch.prim.If.yield %3 : !torch.int\n"
" }\n"
" %15 = torch.aten.lt.int %14, %int0 : !torch.int, !torch.int -> !torch.bool\n"
" %16 = torch.prim.If %15 -> (!torch.int) {\n"
" torch.prim.If.yield %int-1 : !torch.int\n"
" } else {\n"
" torch.prim.If.yield %14 : !torch.int\n"
" }\n"
" %17 = torch.aten.add.int %16, %int1 : !torch.int, !torch.int -> !torch.int\n"
" %18 = torch.aten.add.int %12, %int1 : !torch.int, !torch.int -> !torch.int\n"
" %19 = torch.aten.neg.int %arg4 : !torch.int -> !torch.int\n"
" torch.prim.If.yield %17, %18, %19 : !torch.int, !torch.int, !torch.int\n"
" } else {\n"
" torch.prim.If.yield %1, %3, %arg4 : !torch.int, !torch.int, !torch.int\n"
" }\n"
" %6 = torch.derefine %5#0 : !torch.int to !torch.optional<int>\n"
" %7 = torch.derefine %5#1 : !torch.int to !torch.optional<int>\n"
" %8 = call @__torch__.torch.jit._shape_functions.slice(%arg0, %arg1, %6, %7, %5#2) : (!torch.list<int>, !torch.int, !torch.optional<int>, !torch.optional<int>, !torch.int) -> !torch.list<int>\n"
" return %8 : !torch.list<int>\n"
" }\n"
" func.func @\"__torch_mlir_shape_fn.aten.as_strided\"(%arg0: !torch.list<int>, %arg1: !torch.list<int>, %arg2: !torch.list<int>, %arg3: !torch.optional<int>) -> !torch.list<int> {\n"
" return %arg1 : !torch.list<int>\n"
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