Add dtype functions for ops that take dtype from 1st operand

llvm · Feb 22, 2023 · c0e54ea · c0e54ea
1 parent ce7abf4
commit c0e54ea
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Showing 8 changed files with 1,903 additions and 336 deletions.
diff --git a/build_tools/python_deploy/build_linux_packages.sh b/build_tools/python_deploy/build_linux_packages.sh
@@ -264,20 +264,21 @@ function test_in_tree() {
   echo ":::: Check that update_torch_ods.sh has been run"
   _check_file_not_changed_by ./build_tools/update_torch_ods.sh include/torch-mlir/Dialect/Torch/IR/GeneratedTorchOps.td
 
+  # TODO: pass `crashing_tests_to_not_attempt_to_run_and_a_bug_is_filed` cases after dtype transition is done
   echo ":::: Run Linalg e2e integration tests"
-  python -m e2e_testing.main --config=linalg -v
+  python -m e2e_testing.main --config=linalg -v --crashing_tests_to_not_attempt_to_run_and_a_bug_is_filed ElementwiseClampModule_basic IouOfModule_basic NormalizeModule_basic
 
   echo ":::: Run MHLO e2e integration tests"
-  python -m e2e_testing.main --config=mhlo -v
+  python -m e2e_testing.main --config=mhlo -v --crashing_tests_to_not_attempt_to_run_and_a_bug_is_filed ElementwiseClampModule_basic IouOfModule_basic NormalizeModule_basic
 
   echo ":::: Run TOSA e2e integration tests"
-  python -m e2e_testing.main --config=tosa -v
+  python -m e2e_testing.main --config=tosa -v --crashing_tests_to_not_attempt_to_run_and_a_bug_is_filed ElementwiseClampModule_basic IouOfModule_basic NormalizeModule_basic
 
   echo ":::: Run Lazy Tensor Core e2e integration tests"
-  python -m e2e_testing.main --config=lazy_tensor_core -v
+  python -m e2e_testing.main --config=lazy_tensor_core -v --crashing_tests_to_not_attempt_to_run_and_a_bug_is_filed ElementwiseClampModule_basic IouOfModule_basic NormalizeModule_basic
 
   echo ":::: Run TorchDynamo e2e integration tests"
-  python -m e2e_testing.main --config=torchdynamo -v --crashing_tests_to_not_attempt_to_run_and_a_bug_is_filed RandnDtypeDeviceModule_basic
+  python -m e2e_testing.main --config=torchdynamo -v --crashing_tests_to_not_attempt_to_run_and_a_bug_is_filed DropoutTrainModule_basic RandnDtypeDeviceModule_basic ElementwiseClampModule_basic IouOfModule_basic NormalizeModule_basic
 }
 
 function setup_venv() {

diff --git a/e2e_testing/xfail_sets.py b/e2e_testing/xfail_sets.py
@@ -88,8 +88,6 @@
 
     # Dtype function transition failures
     "MobilenetV3Module_basic",
-    "ResNet18Module_basic",
-    "ResNet18StaticModule_basic",
 }
 
 MHLO_PASS_SET = {
@@ -651,6 +649,7 @@
     "HardsigmoidRandomModule_basic",
     "HardswishModule_basic",
     "HardswishRandomModule_basic",
+    "ResNet18StaticModule_basic",
 }
 
 LTC_XFAIL_SET = {

diff --git a/lib/Dialect/Torch/Transforms/AbstractInterpLibrary.cpp b/lib/Dialect/Torch/Transforms/AbstractInterpLibrary.cpp
diff --git a/lib/Dialect/Torch/Transforms/RefineTypes.cpp b/lib/Dialect/Torch/Transforms/RefineTypes.cpp
@@ -642,36 +642,6 @@ void TypeAnalysis::visitOperation(Operation *op,
     return;
   }
 
-  // Take dtype from first operand.
-  if (isa<CopyToValueTensorOp, CopyToNonValueTensorOp, AtenBatchNormOp,
-          AtenReluOp, AtenRelu6Op, AtenGeluOp, AtenCeilOp, AtenGeluBackwardOp,
-          AtenBitwiseNotOp, AtenToPrimDeviceOp, AtenCpuOp, AtenContiguousOp,
-          AtenDetachOp, AtenMaskedFill_ScalarOp, AtenCopyOp, AtenCumsumOp,
-          AtenLayerNormOp, AtenClampOp, AtenClampMinOp, AtenClampMaxOp,
-          AtenNegOp, AtenFloorOp, Aten_SoftmaxBackwardDataOp, AtenDropoutOp,
-          AtenTanhBackwardOp, Aten_LogSoftmaxBackwardDataOp, AtenAddIntOp,
-          AtenAbsOp, AtenThresholdOp, AtenSquareOp, AtenUniformOp,
-          AtenBernoulliOp, AtenBernoulli_FloatOp, AtenBernoulliTensorOp,
-          ValsemVariantAtenBernoulliFloatOp, AtenBernoulliTensorOp,
-          AtenFillScalarOp, AtenHardsigmoidOp, AtenCloneOp, AtenHardswishOp,
-          AtenSiluOp, AtenHardtanhOp, AtenMaskedSelectOp, AtenMaxPool2dOp,
-          AtenAvgPool2dOp, AtenAdaptiveAvgPool2dOp, AtenFlattenUsingIntsOp,
-          AtenSqueezeOp, AtenSqueezeDimOp, AtenUnsqueezeOp, AtenViewOp,
-          Aten_UnsafeViewOp, AtenReshapeOp, Aten_ReshapeAliasOp, AtenResize_Op,
-          AtenTransposeIntOp, AtenTOp, AtenPermuteOp, AtenIndexSelectOp,
-          AtenSelectIntOp, AtenSelectScatterOp, AtenNarrowOp, AtenSliceTensorOp,
-          AtenSliceScatterOp, AtenGatherOp, AtenExpandOp, AtenExpandAsOp,
-          AtenBroadcastToOp, AtenRepeatOp, AtenConstantPadNdOp, AtenPadOp,
-          AtenZero_Op, AtenIndexTensorOp, Aten_IndexPutImplOp, AtenIndexPutOp,
-          AtenCopyOp, AtenZeroOp, AtenIndexPutHackedTwinOp, AtenPreluOp,
-          AtenMaskedFillScalarOp, AtenFlipOp, PrimAbsScalarOp, AtenNumpyTOp,
-          AtenTriuOp, AtenMaskedFillTensorOp, AtenRollOp, AtenPowTensorTensorOp,
-          AtenLiftFreshCopyOp, AtenIndexTensorHackedTwinOp,
-          AtenUpsampleNearest2dOp, AtenMishOp, AtenRoundOp, AtenFillTensorOp,
-          AtenUpsampleNearest2dBackwardOp, AtenLeakyReluBackwardOp>(op)) {
-    return incorporateKnowledge(op->getResult(0), operands[0]->getValue());
-  }
-
   // Dtype is always si64.
   if (isa<AtenBincountOp>(op)) {
     auto knowledge =
@@ -1476,8 +1446,7 @@ static Type getMostRefinedStaticType(Value v, DataFlowSolver &solver) {
 // the right thing forthose ops.
 //
 static bool allowsTypeRefinementOrIsSafeToRefine(Operation *op) {
-  return op->hasTrait<mlir::torch::Torch::OpTrait::AllowsTypeRefinement>() ||
-         isa<CopyToNonValueTensorOp, CopyToValueTensorOp>(op);
+  return op->hasTrait<mlir::torch::Torch::OpTrait::AllowsTypeRefinement>();
 }
 
 // Some operations have extra verification logic regarding the relationship