mirror of https://github.com/llvm/torch-mlir
790a697245
See unit test below:
```
// CHECK-LABEL: func.func @torch.aten.tensor.float(
// CHECK-NEXT: torch.vtensor.literal(dense<1.000000e+01> : tensor<f32>) : !torch.vtensor<[],f32>
func.func @torch.aten.tensor.float() -> !torch.vtensor<[],f32> {
%none = torch.constant.none
%false = torch.constant.bool false
%float1.000000e01 = torch.constant.float 1.000000e+01
%67 = torch.aten.tensor.float %float1.000000e01, %none, %none, %false : !torch.float, !torch.none, !torch.none, !torch.bool -> !torch.vtensor<[],f32>
return %67 : !torch.vtensor<[],f32>
}
// CHECK-LABEL: func.func @torch.aten.tensor.int(
// CHECK-NEXT: torch.vtensor.literal(dense<45> : tensor<si32>) : !torch.vtensor<[],si32>
func.func @torch.aten.tensor.int() -> !torch.vtensor<[],si32> {
%none = torch.constant.none
%false = torch.constant.bool false
%int45 = torch.constant.int 45
%67 = torch.aten.tensor.int %int45, %none, %none, %false : !torch.int, !torch.none, !torch.none, !torch.bool -> !torch.vtensor<[],si32>
return %67 : !torch.vtensor<[],si32>
}
```
|
||
|---|---|---|
| .. | ||
| _torch_mlir_custom_op_example | ||
| csrc | ||
| jit_ir_importer | ||
| _dynamo_fx_importer.py | ||
| _version.py | ||
| compiler_utils.py | ||
| dynamo.py | ||
| torchscript.py | ||