[Stablehlo] support aten.all.dim (#3746)

lib/Conversion/TorchToStablehlo/Reduction.cpp

@@ -110,7 +110,7 @@ static Value createInitialValueForReduceOp(Operation *op, Type elementTy,
     }
   }
 
-  if (isa<AtenAllOp>(op)) {
+  if (isa<AtenAllOp, AtenAllDimOp>(op)) {
     auto constAttr =
         DenseElementsAttr::get(constType, {APInt(/*numBits=*/1, 1)});
     return rewriter.create<stablehlo::ConstantOp>(op->getLoc(), constType,
@@ -166,7 +166,7 @@ static Value createReduceOpWithSingleRegionOp(Operation *op, Value input,
                    AtenLinalgVectorNormOp>(op)) {
       result = rewriter.create<stablehlo::AddOp>(
           op->getLoc(), blockArgumentTy, *firstArgument, *secondArgument);
-    } else if (isa<AtenAllOp>(op)) {
+    } else if (isa<AtenAllOp, AtenAllDimOp>(op)) {
       result = rewriter.create<stablehlo::AndOp>(
           op->getLoc(), blockArgumentTy, *firstArgument, *secondArgument);
     } else if (isa<AtenAnyOp, AtenAnyDimOp>(op)) {
@@ -887,6 +887,7 @@ void mlir::torch::torch_to_stablehlo::populateReductionOpPatternsAndLegality(
   patterns.add<ConvertAtenReduceOneDimOp<AtenOp>>(typeConverter, context,      \
                                                   options)
   INSERT_ATEN_REDUCTION_ONE_DIM_OP_PATTERN(AtenAnyDimOp);
+  INSERT_ATEN_REDUCTION_ONE_DIM_OP_PATTERN(AtenAllDimOp);
 #undef INSERT_ATEN_REDUCTION_ONE_DIM_OP_PATTERN
 
 #define INSERT_ATEN_REDUCTION_DIMS_OP_PATTERN(AtenOp)                          \

projects/pt1/e2e_testing/xfail_sets.py

@@ -815,10 +815,6 @@ FX_IMPORTER_STABLEHLO_XFAIL_SET = {
     "RandnLikeDtypeModule_basic",
     "RandnLikeModule_basic",
     "RandnModule_basic",
-    "ReduceAllDimBool_basic",
-    "ReduceAllDimEmpty_basic",
-    "ReduceAllDimFloat_basic",
-    "ReduceAllDimInt_basic",
     "ReduceProdDimIntFloatModule_basic",
     "ReflectionPad1dModule2dInput_Right",
     "ReflectionPad1dModule2dInput_basic",
@@ -836,18 +832,7 @@ FX_IMPORTER_STABLEHLO_XFAIL_SET = {
     "ReplicationPad2dModule_top0",
     "RsubInt0d_NumToTensor_Module_basic",
     "ScalarImplicitFloatModule_basic",
-    # need aten.all.dim lowering to stablehlo
-    "SafeSoftmaxModule_basic",
-    "SafeSoftmaxNonNoneDtypeModule_basic",
     # REMOVE WHEN ENABLE_GQA IS ADDED
-    "ScaledDotProductAttentionBoolMaskModule_basic",
-    "ScaledDotProductAttentionDifferentDynamicCausalModule_basic",
-    "ScaledDotProductAttentionDifferentCausalModule_basic",
-    "ScaledDotProductAttentionDifferentModule_basic",
-    "ScaledDotProductAttentionMaskModule_basic",
-    "ScaledDotProductAttentionSameCausalModule_basic",
-    "ScaledDotProductAttentionSameDynamicModule_basic",
-    "ScaledDotProductAttentionSameModule_basic",
     "ScatterReduceFloatMaxModule",
     "ScatterReduceFloatMaxModuleIncludeSelf",
     "ScatterReduceFloatMeanModule",

projects/pt1/python/torch_mlir_e2e_test/test_suite/reduction.py

@@ -170,6 +170,26 @@ def ReduceAllFloatModule_basic(module, tu: TestUtils):
     module.forward(tu.rand(3, 4, 5))
 
 
+class ReduceAllDimFloatModule(torch.nn.Module):
+    def __init__(self):
+        super().__init__()
+
+    @export
+    @annotate_args(
+        [
+            None,
+            ([-1, -1, -1], torch.float32, True),
+        ]
+    )
+    def forward(self, a):
+        return torch.ops.aten.all(a, dim=0)
+
+
+@register_test_case(module_factory=lambda: ReduceAllDimFloatModule())
+def ReduceAllDimFloatModule_basic(module, tu: TestUtils):
+    module.forward(tu.rand(3, 4, 5))
+
+
 # ==============================================================================