mirror of https://github.com/llvm/torch-mlir
136 lines
6.7 KiB
MLIR
136 lines
6.7 KiB
MLIR
// RUN: npcomp-opt %s -canonicalize | FileCheck %s
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// CHECK-LABEL: func @torch.aten.__is__
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// CHECK: %[[FALSE:.*]] = basicpy.bool_constant false
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// CHECK: return %[[FALSE]] : !basicpy.BoolType
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func @torch.aten.__is__(%arg0: !torch.list<i64>, %arg1: !torch.none) -> !basicpy.BoolType{
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%0 = torch.aten.__is__ %arg0, %arg1 : !torch.list<i64>, !torch.none -> !basicpy.BoolType
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return %0 : !basicpy.BoolType
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}
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// CHECK-LABEL: func @torch.aten.size$canonicalize_to_list(
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// CHECK-SAME: %[[ARG:.*]]: !torch.vtensor<[2,3],f32>) -> !torch.list<i64> {
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// CHECK: %[[C2:.*]] = torch.constant.int 2 : i64
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// CHECK: %[[C3:.*]] = torch.constant.int 3 : i64
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// CHECK: %[[LIST:.*]] = torch.prim.ListConstruct %[[C2]], %[[C3]] : (i64, i64) -> !torch.list<i64>
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// CHECK: return %[[LIST]] : !torch.list<i64>
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func @torch.aten.size$canonicalize_to_list(%arg0: !torch.vtensor<[2,3],f32>) -> !torch.list<i64> {
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%0 = torch.aten.size %arg0 : !torch.vtensor<[2,3],f32> -> !torch.list<i64>
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return %0 : !torch.list<i64>
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}
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// One size unknown, so cannot canonicalize.
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// TODO: For unknown sizes, insert the equivalent of a "dim" op.
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// Then this will only require static rank.
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// CHECK-LABEL: func @torch.aten.size$unknown_size(
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// CHECK-SAME: %[[ARG:.*]]: !torch.vtensor<[?,3],f32>) -> !torch.list<i64> {
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// CHECK: %[[SIZE:.*]] = torch.aten.size %[[ARG]] : !torch.vtensor<[?,3],f32> -> !torch.list<i64>
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func @torch.aten.size$unknown_size(%arg0: !torch.vtensor<[?,3],f32>) -> !torch.list<i64> {
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%0 = torch.aten.size %arg0 : !torch.vtensor<[?,3],f32> -> !torch.list<i64>
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return %0 : !torch.list<i64>
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}
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// CHECK-LABEL: func @torch.aten.len.t$of_size(
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// CHECK-SAME: %[[ARG:.*]]: !torch.vtensor<*,f32>) -> i64 {
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// CHECK: %[[DIM:.*]] = torch.aten.dim %[[ARG]] : !torch.vtensor<*,f32> -> i64
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// CHECK: return %[[DIM]] : i64
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func @torch.aten.len.t$of_size(%arg0: !torch.vtensor<*,f32>) -> i64 {
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%0 = torch.aten.size %arg0 : !torch.vtensor<*,f32> -> !torch.list<i64>
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%1 = torch.aten.len.t %0 : !torch.list<i64> -> i64
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return %1 : i64
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}
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// CHECK-LABEL: func @torch.aten.dim$with_shape(
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// CHECK-SAME: %[[ARG:.*]]: !torch.vtensor<[?,?,?],f32>) -> i64 {
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// CHECK: %[[DIM:.*]] = torch.constant.int 3 : i64
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// CHECK: return %[[DIM]] : i64
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func @torch.aten.dim$with_shape(%arg0: !torch.vtensor<[?,?,?],f32>) -> i64 {
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%0 = torch.aten.dim %arg0 : !torch.vtensor<[?,?,?],f32> -> i64
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return %0 : i64
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}
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// CHECK-LABEL: func @torch.aten.len.t$of_build_list(
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// CHECK-SAME: %[[ARG:.*]]: i64) -> i64 {
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// CHECK: %[[LEN:.*]] = torch.constant.int 4 : i64
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// CHECK: return %[[LEN]] : i64
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func @torch.aten.len.t$of_build_list(%arg0: i64) -> i64 {
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%0 = torch.prim.ListConstruct %arg0, %arg0, %arg0, %arg0 : (i64, i64, i64, i64) -> !torch.list<i64>
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%1 = torch.aten.len.t %0 : !torch.list<i64> -> i64
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return %1 : i64
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}
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// CHECK-LABEL: func @torch.copy.tensor$value_copy_is_noop(
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// CHECK-SAME: %[[ARG:.*]]: !torch.vtensor) -> !torch.vtensor {
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// CHECK: return %[[ARG]] : !torch.vtensor
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func @torch.copy.tensor$value_copy_is_noop(%arg0: !torch.vtensor) -> !torch.vtensor {
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%0 = torch.copy.tensor %arg0 : !torch.vtensor -> !torch.vtensor
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return %0 : !torch.vtensor
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}
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// CHECK-LABEL: func @torch.copy.tensor$unnecessary_intermediate_nonval_tensor(
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// CHECK-SAME: %[[ARG:.*]]: !torch.vtensor) -> !torch.vtensor {
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// CHECK: return %[[ARG]] : !torch.vtensor
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func @torch.copy.tensor$unnecessary_intermediate_nonval_tensor(%arg0: !torch.vtensor) -> !torch.vtensor {
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%0 = torch.copy.tensor %arg0 : !torch.vtensor -> !torch.tensor
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%1 = torch.copy.tensor %0 : !torch.tensor -> !torch.vtensor
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return %1 : !torch.vtensor
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}
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// CHECK-LABEL: func @torch.aten.__getitem__.t(
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// CHECK: %[[C5:.*]] = torch.constant.int 5 : i64
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// CHECK: return %[[C5]] : i64
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func @torch.aten.__getitem__.t() -> i64 {
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%c4_i64 = torch.constant.int 4 : i64
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%c5_i64 = torch.constant.int 5 : i64
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%c1_i64 = torch.constant.int 1 : i64
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%0 = torch.prim.ListConstruct %c4_i64, %c5_i64 : (i64, i64) -> !torch.list<i64>
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%1 = torch.aten.__getitem__.t %0, %c1_i64 : !torch.list<i64>, i64 -> i64
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return %1 : i64
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}
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// Not canonicalized because of passed in index
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// CHECK-LABEL: func @torch.aten.__getitem__.t$no_change_test0(
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// CHECK: %[[C4:.*]] = torch.constant.int 4 : i64
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// CHECK: %[[C5:.*]] = torch.constant.int 5 : i64
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// CHECK: %[[LIST:.*]] = torch.prim.ListConstruct %[[C4]], %[[C5]] : (i64, i64) -> !torch.list<i64>
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// CHECK: %[[ITEM:.*]] = torch.aten.__getitem__.t %[[LIST]], %arg0 : !torch.list<i64>, i64 -> i64
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// CHECK: return %[[ITEM]] : i64
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func @torch.aten.__getitem__.t$no_change_test0(%arg0: i64) -> i64 {
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%c5_i64 = torch.constant.int 5 : i64
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%c4_i64 = torch.constant.int 4 : i64
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%0 = torch.prim.ListConstruct %c4_i64, %c5_i64 : (i64, i64) -> !torch.list<i64>
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%1 = torch.aten.__getitem__.t %0, %arg0 : !torch.list<i64>, i64 -> i64
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return %1 : i64
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}
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// Not canonicalized because of passed in list
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// CHECK-LABEL: func @torch.aten.__getitem__.t$no_change_test1(
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// CHECK: %[[C5:.*]] = torch.constant.int 5 : i64
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// CHECK: %[[ITEM:.*]] = torch.aten.__getitem__.t %arg0, %[[C5]] : !torch.list<i64>, i64 -> i64
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// CHECK: return %[[ITEM]] : i64
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func @torch.aten.__getitem__.t$no_change_test1(%arg0: !torch.list<i64>) -> i64 {
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%c5_i64 = torch.constant.int 5 : i64
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%0 = torch.aten.__getitem__.t %arg0, %c5_i64 : !torch.list<i64>, i64 -> i64
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return %0 : i64
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}
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// CHECK-LABEL: func @torch.constant.none$constantlike() -> (!torch.none, !torch.none) {
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// CHECK: %[[C:.*]] = torch.constant.none
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// CHECK: return %[[C]], %[[C]] : !torch.none, !torch.none
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func @torch.constant.none$constantlike() -> (!torch.none, !torch.none) {
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%0 = torch.constant.none
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%1 = torch.constant.none
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return %0, %1 : !torch.none, !torch.none
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}
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// CHECK-LABEL: func @torch.constant.str$constantlike() -> (!torch.str, !torch.str, !torch.str) {
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// CHECK: %[[T:.*]] = torch.constant.str "t"
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// CHECK: %[[S:.*]] = torch.constant.str "s"
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// CHECK: return %[[S]], %[[S]], %[[T]] : !torch.str, !torch.str, !torch.str
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func @torch.constant.str$constantlike() -> (!torch.str, !torch.str, !torch.str) {
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%0 = torch.constant.str "s"
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%1 = torch.constant.str "s"
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%2 = torch.constant.str "t"
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return %0, %1, %2 : !torch.str, !torch.str, !torch.str
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}
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