torch-mlir/test/Conversion/TorchToStd/basic.mlir

77 lines
3.6 KiB
MLIR

// RUN: npcomp-opt <%s -convert-torch-to-std | FileCheck %s
// CHECK-LABEL: func @torch.aten.dim(
// CHECK-SAME: %[[ARG:.*]]: !torch.vtensor<*,f32>) -> !torch.int {
// CHECK: %[[BUILTIN_TENSOR:.*]] = torch.to_builtin_tensor %[[ARG]] : !torch.vtensor<*,f32> -> tensor<*xf32>
// CHECK: %[[RANK:.*]] = rank %[[BUILTIN_TENSOR]] : tensor<*xf32>
// CHECK: %[[RANK_I64:.*]] = index_cast %[[RANK]] : index to i64
// CHECK: %[[RANK_TORCH_INT:.*]] = torch.from_i64 %[[RANK_I64]]
// CHECK: return %[[RANK_TORCH_INT]] : !torch.int
func @torch.aten.dim(%arg0: !torch.vtensor<*,f32>) -> !torch.int {
%0 = torch.aten.dim %arg0 : !torch.vtensor<*,f32> -> !torch.int
return %0 : !torch.int
}
// CHECK-LABEL: func @torch.aten.ne.int(
// CHECK-SAME: %[[LHS:.*]]: !torch.int,
// CHECK-SAME: %[[RHS:.*]]: !torch.int) -> !torch.bool {
// CHECK: %[[LHS_I64:.*]] = torch.to_i64 %[[LHS]]
// CHECK: %[[RHS_I64:.*]] = torch.to_i64 %[[RHS]]
// CHECK: %[[CMP:.*]] = cmpi ne, %[[LHS_I64]], %[[RHS_I64]] : i64
// CHECK: %[[CMP_TORCH_BOOL:.*]] = torch.from_i1 %[[CMP]]
// CHECK: return %[[CMP_TORCH_BOOL]] : !torch.bool
func @torch.aten.ne.int(%arg0: !torch.int, %arg1: !torch.int) -> !torch.bool {
%0 = torch.aten.ne.int %arg0, %arg1 : !torch.int, !torch.int -> !torch.bool
return %0 : !torch.bool
}
// CHECK-LABEL: func @torch.aten.gt.int(
// CHECK-SAME: %[[LHS:.*]]: !torch.int,
// CHECK-SAME: %[[RHS:.*]]: !torch.int) -> !torch.bool {
// CHECK: %[[LHS_I64:.*]] = torch.to_i64 %[[LHS]]
// CHECK: %[[RHS_I64:.*]] = torch.to_i64 %[[RHS]]
// CHECK: %[[CMP:.*]] = cmpi sgt, %[[LHS_I64]], %[[RHS_I64]] : i64
// CHECK: %[[CMP_TORCH_BOOL:.*]] = torch.from_i1 %[[CMP]]
// CHECK: return %[[CMP_TORCH_BOOL]] : !torch.bool
func @torch.aten.gt.int(%arg0: !torch.int, %arg1: !torch.int) -> !torch.bool {
%0 = torch.aten.gt.int %arg0, %arg1 : !torch.int, !torch.int -> !torch.bool
return %0 : !torch.bool
}
// CHECK-LABEL: func @torch.vtensor.literal() -> !torch.vtensor<[],f32> {
// CHECK: %[[CST:.*]] = constant dense<0.000000e+00> : tensor<f32>
// CHECK: %[[VTENSOR:.*]] = torch.from_builtin_tensor %[[CST]] : tensor<f32> -> !torch.vtensor<[],f32>
// CHECK: return %[[VTENSOR]] : !torch.vtensor<[],f32>
func @torch.vtensor.literal() -> !torch.vtensor<[],f32> {
%0 = torch.vtensor.literal(dense<0.0> : tensor<f32>) : !torch.vtensor<[],f32>
return %0 : !torch.vtensor<[],f32>
}
// CHECK-LABEL: func @torch.constant.bool() -> !torch.bool {
// CHECK: %[[CST:.*]] = constant true
// CHECK: %[[BOOL:.*]] = torch.from_i1 %[[CST]]
// CHECK: return %[[BOOL]] : !torch.bool
func @torch.constant.bool() -> !torch.bool {
%true = torch.constant.bool true
return %true : !torch.bool
}
// CHECK-LABEL: func @torch.constant.float() -> !torch.float {
// CHECK: %[[CST:.*]] = constant 1.000000e+00 : f64
// CHECK: %[[FLOAT:.*]] = torch.from_f64 %[[CST]]
// CHECK: return %[[FLOAT]] : !torch.float
func @torch.constant.float() -> !torch.float {
%float = torch.constant.float 1.000000e+00
return %float : !torch.float
}
// CHECK-LABEL: func @torch.constant.int() -> !torch.int {
// CHECK: %[[CST:.*]] = constant 1 : i64
// CHECK: %[[INT:.*]] = torch.from_i64 %[[CST]]
// CHECK: return %[[INT]] : !torch.int
func @torch.constant.int() -> !torch.int {
%int1 = torch.constant.int 1
return %int1 : !torch.int
}