torch-mlir/test/Dialect/TorchConversion/ops.mlir

17 lines
1.1 KiB
MLIR

// RUN: npcomp-opt %s | npcomp-opt | FileCheck %s
// CHECK-LABEL: func @builtin_tensor_interop(
func @builtin_tensor_interop(%arg0: tensor<*xf32>, %arg1: tensor<3x?xi8>, %arg2: !torch.vtensor<*,f32>, %arg3: !torch.vtensor<[3,?],si8>) {
// CHECK: torch_c.from_builtin_tensor %arg0 : tensor<*xf32> -> !torch.vtensor<*,f32>
%0 = torch_c.from_builtin_tensor %arg0 : tensor<*xf32> -> !torch.vtensor<*,f32>
// CHECK: torch_c.from_builtin_tensor %arg1 : tensor<3x?xi8> -> !torch.vtensor<[3,?],si8>
%1 = torch_c.from_builtin_tensor %arg1 : tensor<3x?xi8> -> !torch.vtensor<[3,?],si8>
// CHECK: torch_c.from_builtin_tensor %arg1 : tensor<3x?xi8> -> !torch.vtensor<[3,?],ui8>
%2 = torch_c.from_builtin_tensor %arg1 : tensor<3x?xi8> -> !torch.vtensor<[3,?],ui8>
// CHECK: torch_c.to_builtin_tensor %arg2 : !torch.vtensor<*,f32> -> tensor<*xf32>
%3 = torch_c.to_builtin_tensor %arg2 : !torch.vtensor<*,f32> -> tensor<*xf32>
// CHECK: torch_c.to_builtin_tensor %arg3 : !torch.vtensor<[3,?],si8> -> tensor<3x?xi8>
%4 = torch_c.to_builtin_tensor %arg3 : !torch.vtensor<[3,?],si8> -> tensor<3x?xi8>
return
}