mirror of https://github.com/llvm/torch-mlir
Added E2E support for torch::aten.__contains__int_list
parent
163fa57cde
commit
5888c4f7dc
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@ -6160,6 +6160,31 @@ def Torch_Aten__Contains__StrOp : Torch_Op<"aten.__contains__.str", [
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let hasFolder = 1;
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let hasFolder = 1;
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}
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}
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def Torch_Aten__Contains__IntListOp : Torch_Op<"aten.__contains__.int_list", [
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AllowsTypeRefinement,
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HasValueSemantics,
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ReadOnly
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]> {
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let summary = "Generated op for `aten::__contains__.int_list : (int[], int) -> (bool)`";
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let arguments = (ins
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AnyTorchListOfTorchIntType:$l,
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Torch_IntType:$item
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);
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let results = (outs
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Torch_BoolType:$result
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);
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let hasCustomAssemblyFormat = 1;
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let extraClassDefinition = [{
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ParseResult Aten__Contains__IntListOp::parse(OpAsmParser &parser, OperationState &result) {
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return parseDefaultTorchOp(parser, result, 2, 1);
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}
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void Aten__Contains__IntListOp::print(OpAsmPrinter &printer) {
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printDefaultTorchOp(printer, *this, 2, 1);
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}
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}];
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let hasFolder = 1;
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}
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def Torch_Aten__Getitem__DictStrOp : Torch_Op<"aten.__getitem__.Dict_str", [
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def Torch_Aten__Getitem__DictStrOp : Torch_Op<"aten.__getitem__.Dict_str", [
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AllowsTypeRefinement,
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AllowsTypeRefinement,
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ReadOnly
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ReadOnly
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@ -1584,6 +1584,37 @@ OpFoldResult Aten__Contains__StrOp::fold(ArrayRef<Attribute> operands) {
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return nullptr;
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return nullptr;
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}
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}
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//===----------------------------------------------------------------------===//
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// Aten__Contains__IntListOp
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//===----------------------------------------------------------------------===//
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static bool isListConstructNotModified(Value torchList) {
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return llvm::all_of(torchList.getUsers(), [](Operation *op) {
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return isa<Aten__Contains__IntListOp>(op);
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});
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}
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OpFoldResult Aten__Contains__IntListOp::fold(ArrayRef<Attribute> operands) {
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auto itemConstruct = item();
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if (!isListConstructNotModified(l()))
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return nullptr;
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int64_t item;
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SmallVector<int64_t> list;
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if (!matchPattern(itemConstruct, m_TorchConstantInt(&item)))
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return nullptr;
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if (!matchPattern(l(), m_TorchConstantIntList(list)))
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return nullptr;
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for (auto elem : list) {
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if (elem == item)
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return getI1IntegerAttr(getContext(), true);
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}
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return getI1IntegerAttr(getContext(), false);
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}
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using BinaryIntOperatorFn = std::function<int64_t(int64_t, int64_t)>;
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using BinaryIntOperatorFn = std::function<int64_t(int64_t, int64_t)>;
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template <typename OpTy>
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template <typename OpTy>
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static OpFoldResult atenBinaryIntOperatorFoldHelper(OpTy op,
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static OpFoldResult atenBinaryIntOperatorFoldHelper(OpTy op,
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@ -472,6 +472,7 @@ def emit_ops(emitter_td: TextEmitter, registry: Registry):
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# Dict ops.
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# Dict ops.
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emit("aten::__contains__.str : (Dict(str, t), str) -> (bool)", has_folder=True)
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emit("aten::__contains__.str : (Dict(str, t), str) -> (bool)", has_folder=True)
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emit("aten::__contains__.int_list : (int[], int) -> (bool)", has_folder=True)
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emit("aten::__getitem__.Dict_str : (Dict(str, t), str) -> (t)", has_folder=True)
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emit("aten::__getitem__.Dict_str : (Dict(str, t), str) -> (t)", has_folder=True)
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emit("aten::_set_item.str : (Dict(str, t), str, t) -> ()")
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emit("aten::_set_item.str : (Dict(str, t), str, t) -> ()")
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emit("aten::keys.str : (Dict(str, t)) -> (str[])")
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emit("aten::keys.str : (Dict(str, t)) -> (str[])")
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@ -103,6 +103,40 @@ class IsFloatingPointFloat(torch.nn.Module):
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@register_test_case(module_factory=lambda: IsFloatingPointFloat())
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@register_test_case(module_factory=lambda: IsFloatingPointFloat())
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def IsFloatingPointFloat_True(module, tu: TestUtils):
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def IsFloatingPointFloat_True(module, tu: TestUtils):
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module.forward(tu.rand(3))
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module.forward(tu.rand(3))
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# ==============================================================================
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class ContainsIntList(torch.nn.Module):
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def __init__(self):
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super().__init__()
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@export
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@annotate_args([
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None
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])
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def forward(self):
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return torch.ops.aten.__contains__([1,2,3], 3)
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@register_test_case(module_factory=lambda: ContainsIntList())
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def ContainsIntList_True(module, tu: TestUtils):
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module.forward()
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# ==============================================================================
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class ContainsIntListFalse(torch.nn.Module):
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def __init__(self):
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super().__init__()
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@export
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@annotate_args([
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None
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])
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def forward(self):
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return torch.ops.aten.__contains__([1,2,3], 4)
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@register_test_case(module_factory=lambda: ContainsIntListFalse())
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def ContainsIntList_False(module, tu: TestUtils):
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module.forward()
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# ==============================================================================
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# ==============================================================================
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