mirror of https://github.com/llvm/torch-mlir
100 lines
6.6 KiB
MLIR
100 lines
6.6 KiB
MLIR
// RUN: torch-mlir-opt -torch-adjust-calling-conventions -allow-unregistered-dialect -split-input-file -verify-diagnostics %s | FileCheck %s
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// CHECK-LABEL: func.func @basic(
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// CHECK-SAME: %[[ARG:.*]]: !torch.vtensor<[2,3,?],f32>) -> !torch.tensor {
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// CHECK: %[[ERASED:.*]] = torch.tensor_static_info_cast %[[ARG]] : !torch.vtensor<[2,3,?],f32> to !torch.vtensor
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// CHECK: %[[NONVAL_TENSOR:.*]] = torch.copy.to_tensor %[[ERASED]] : !torch.tensor
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// CHECK: return %[[NONVAL_TENSOR]] : !torch.tensor
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func.func @basic(%arg0: !torch.tensor {torch.type_bound = !torch.vtensor<[2,3,?],f32>}) -> !torch.tensor {
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return %arg0 : !torch.tensor
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}
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// CHECK-LABEL: func.func @no_type_bound(
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// CHECK-SAME: %[[ARG:.*]]: !torch.tensor) -> !torch.tensor {
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// CHECK: return %[[ARG]] : !torch.tensor
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func.func @no_type_bound(%arg0: !torch.tensor) -> !torch.tensor {
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return %arg0 : !torch.tensor
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}
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// CHECK-LABEL: func.func @call(
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// CHECK-SAME: %[[ARG:.*]]: !torch.vtensor<[2,3,?],f32>) -> !torch.tensor {
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// CHECK: %[[ARG_ERASED:.*]] = torch.tensor_static_info_cast %[[ARG]] : !torch.vtensor<[2,3,?],f32> to !torch.vtensor
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// CHECK: %[[ARG_NONVAL:.*]] = torch.copy.to_tensor %[[ARG_ERASED]] : !torch.tensor
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// CHECK: %[[INFO_ADDED:.*]] = torch.tensor_static_info_cast %[[ARG_NONVAL]] : !torch.tensor to !torch.tensor<[2,3,?],f32>
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// CHECK: %[[CALL_ARG:.*]] = torch.copy.to_vtensor %[[INFO_ADDED]] : !torch.vtensor<[2,3,?],f32>
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// CHECK: %[[CALL_RES:.*]] = call @call(%[[CALL_ARG]]) : (!torch.vtensor<[2,3,?],f32>) -> !torch.tensor
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// CHECK: return %[[ARG_NONVAL]] : !torch.tensor
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func.func @call(%arg0: !torch.tensor {torch.type_bound = !torch.vtensor<[2,3,?],f32>}) -> !torch.tensor {
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%0 = call @call(%arg0) : (!torch.tensor) -> !torch.tensor
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return %arg0 : !torch.tensor
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}
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// CHECK-LABEL: func.func @none_return() {
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// CHECK: %[[NONE:.*]] = torch.constant.none
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// CHECK: return
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func.func @none_return() -> !torch.none {
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%1 = torch.constant.none
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return %1 : !torch.none
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}
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// CHECK-LABEL: func.func @none_call_return() {
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// CHECK: call @none_return() : () -> ()
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// CHECK: %[[NONE:.*]] = torch.constant.none
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// CHECK: "test.use"(%[[NONE]]) : (!torch.none) -> ()
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// CHECK: return
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func.func @none_call_return() {
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%0 = call @none_return() : () -> !torch.none
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"test.use"(%0) : (!torch.none) -> ()
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return
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}
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// CHECK-LABEL: func.func @tuple_return(
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// CHECK-SAME: %[[ARG0:.*]]: !torch.vtensor<[?],f32>,
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// CHECK-SAME: %[[ARG1:.*]]: !torch.vtensor<[?],f32>) -> (!torch.tensor, !torch.tensor) {
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// CHECK: %[[ARG0_ERASED:.*]] = torch.tensor_static_info_cast %[[ARG0]] : !torch.vtensor<[?],f32> to !torch.vtensor
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// CHECK: %[[ARG0_NONVAL:.*]] = torch.copy.to_tensor %[[ARG0_ERASED]] : !torch.tensor
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// CHECK: %[[ARG1_ERASED:.*]] = torch.tensor_static_info_cast %[[ARG1]] : !torch.vtensor<[?],f32> to !torch.vtensor
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// CHECK: %[[ARG1_NONVAL:.*]] = torch.copy.to_tensor %[[ARG1_ERASED]] : !torch.tensor
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// CHECK: %[[TUPLE:.*]] = torch.prim.TupleConstruct %[[ARG0_NONVAL]], %[[ARG1_NONVAL]] :
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// CHECK-SAME: !torch.tensor, !torch.tensor -> !torch.tuple<tensor, tensor>
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// CHECK: %[[CST0:.*]] = torch.constant.int 0
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// CHECK: %[[RET0:.*]] = torch.prim.TupleIndex %[[TUPLE]], %[[CST0]] :
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// CHECK-SAME: !torch.tuple<tensor, tensor>, !torch.int -> !torch.tensor
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// CHECK: %[[CST1:.*]] = torch.constant.int 1
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// CHECK: %[[RET1:.*]] = torch.prim.TupleIndex %[[TUPLE]], %[[CST1]] :
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// CHECK-SAME: !torch.tuple<tensor, tensor>, !torch.int -> !torch.tensor
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// CHECK: return %[[RET0]], %[[RET1]] : !torch.tensor, !torch.tensor
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func.func @tuple_return(%arg0: !torch.tensor {torch.type_bound = !torch.vtensor<[?],f32>},
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%arg1: !torch.tensor {torch.type_bound = !torch.vtensor<[?],f32>}) -> !torch.tuple<tensor, tensor> {
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%1 = torch.prim.TupleConstruct %arg0, %arg1 : !torch.tensor, !torch.tensor -> !torch.tuple<tensor, tensor>
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return %1 : !torch.tuple<tensor, tensor>
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}
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// CHECK-LABEL: func.func @call_tuple_return(
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// CHECK-SAME: %[[ARG0:.*]]: !torch.vtensor<[?],f32>,
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// CHECK-SAME: %[[ARG1:.*]]: !torch.vtensor<[?],f32>) -> (!torch.tensor, !torch.tensor) {
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// CHECK: %[[ARG0_ERASED:.*]] = torch.tensor_static_info_cast %[[ARG0]] : !torch.vtensor<[?],f32> to !torch.vtensor
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// CHECK: %[[ARG0_NONVAL:.*]] = torch.copy.to_tensor %[[ARG0_ERASED]] : !torch.tensor
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// CHECK: %[[ARG1_ERASED:.*]] = torch.tensor_static_info_cast %[[ARG1]] : !torch.vtensor<[?],f32> to !torch.vtensor
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// CHECK: %[[ARG1_NONVAL:.*]] = torch.copy.to_tensor %[[ARG1_ERASED]] : !torch.tensor
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// CHECK: %[[ARG0_NONVAL_SHAPED:.*]] = torch.tensor_static_info_cast %[[ARG0_NONVAL]] : !torch.tensor to !torch.tensor<[?],f32>
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// CHECK: %[[ARG0_VAL_SHAPED:.*]] = torch.copy.to_vtensor %[[ARG0_NONVAL_SHAPED]] : !torch.vtensor<[?],f32>
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// CHECK: %[[ARG1_NONVAL_SHAPED:.*]] = torch.tensor_static_info_cast %[[ARG1_NONVAL]] : !torch.tensor to !torch.tensor<[?],f32>
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// CHECK: %[[ARG1_VAL_SHAPED:.*]] = torch.copy.to_vtensor %[[ARG1_NONVAL_SHAPED]] : !torch.vtensor<[?],f32>
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// CHECK: %[[RETS:.*]]:2 = call @tuple_return(%[[ARG0_VAL_SHAPED]], %[[ARG1_VAL_SHAPED]]) :
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// CHECK-SAME: (!torch.vtensor<[?],f32>, !torch.vtensor<[?],f32>) -> (!torch.tensor, !torch.tensor)
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// CHECK: %[[TUPLE:.*]] = torch.prim.TupleConstruct %[[RETS]]#0, %[[RETS]]#1 :
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// CHECK-SAME: !torch.tensor, !torch.tensor -> !torch.tuple<tensor, tensor>
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// CHECK: %[[CST0:.*]] = torch.constant.int 0
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// CHECK: %[[RET0:.*]] = torch.prim.TupleIndex %[[TUPLE]], %[[CST0]] :
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// CHECK-SAME: !torch.tuple<tensor, tensor>, !torch.int -> !torch.tensor
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// CHECK: %[[CST1:.*]] = torch.constant.int 1
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// CHECK: %[[RET1:.*]] = torch.prim.TupleIndex %[[TUPLE]], %[[CST1]] :
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// CHECK-SAME: !torch.tuple<tensor, tensor>, !torch.int -> !torch.tensor
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// CHECK: return %[[RET0]], %[[RET1]] : !torch.tensor, !torch.tensor
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func.func @call_tuple_return(%arg0: !torch.tensor {torch.type_bound = !torch.vtensor<[?],f32>},
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%arg1: !torch.tensor {torch.type_bound = !torch.vtensor<[?],f32>}) -> !torch.tuple<tensor, tensor> {
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%0 = call @tuple_return(%arg0, %arg1) : (!torch.tensor, !torch.tensor) -> !torch.tuple<tensor, tensor>
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return %0 : !torch.tuple<tensor, tensor>
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}
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