mirror of https://github.com/llvm/torch-mlir
22 lines
1.2 KiB
MLIR
22 lines
1.2 KiB
MLIR
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// RUN: npcomp-opt <%s -convert-torch-to-iree -split-input-file -verify-diagnostics | FileCheck %s
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// XFAIL: *
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// CHECK-LABEL: func @forward(
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// CHECK-SAME: %[[ARG_TORCH:.*]]: !torch.float) -> !torch.list<!torch.float> {
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// CHECK: %[[ARG:.*]] = torch_c.to_f64 %[[ARG_TORCH]]
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// CHECK: %[[ALSO_ARG:.*]] = torch_c.to_f64 %[[ARG_TORCH]]
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// CHECK: %[[C2:.*]] = constant 2 : index
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// CHECK: %[[LIST:.*]] = iree.list.create %[[C2]] : !iree.list<f64>
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// CHECK: iree.list.resize %[[LIST]], %[[C2]] : !iree.list<f64>
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// CHECK: %[[C0:.*]] = constant 0 : index
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// CHECK: iree.list.set %[[LIST]][%[[C0]]], %[[ARG]] : !iree.list<f64>, f64
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// CHECK: %[[C1:.*]] = constant 1 : index
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// CHECK: iree.list.set %[[LIST]][%[[C1]]], %[[ALSO_ARG]] : !iree.list<f64>, f64
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// CHECK: %[[LIST_TORCH:.*]] = torch_c.from_iree_list %[[LIST]] : !iree.list<f64> -> !torch.list<!torch.float>
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// CHECK: return %[[LIST_TORCH]] : !torch.list<!torch.float>
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builtin.func @forward(%arg0: !torch.float) -> !torch.list<!torch.float> {
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%0 = torch.prim.ListConstruct %arg0, %arg0 : (!torch.float, !torch.float) -> !torch.list<!torch.float>
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return %0 : !torch.list<!torch.float>
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}
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