[Converter] Request implementation aten::rsqrt(Tensor self) -> (Tensor) in Torch-TensorRT

[kimseongah]

Bug Description

ERROR: [Torch-TensorRT] - Method requested cannot be compiled end to end by Torch-TensorRT.TorchScript.
Unsupported operators listed below:

• aten::rsqrt(Tensor self) -> (Tensor)

...

Traceback (most recent call last):
File "/workspace/SimSwap/simswap_torchTensorRT.py", line 17, in
trt_ts_module = torch_tensorrt.compile(
File "/usr/local/lib/python3.8/dist-packages/torch_tensorrt/_compile.py", line 117, in compile
return torch_tensorrt.ts.compile(ts_mod, inputs=inputs, enabled_precisions=enabled_precisions, **kwargs)
File "/usr/local/lib/python3.8/dist-packages/torch_tensorrt/ts/_compiler.py", line 113, in compile
compiled_cpp_mod = _C.compile_graph(module._c, _parse_compile_spec(spec))
RuntimeError: [Error thrown at core/compiler.cpp:446] Expected conversion::VerifyConverterSupportForBlock(g->block()) to be true but got false
Not all operations in graph are supported by the compiler

Expected behavior

Environment

Build information about Torch-TensorRT can be found by turning on debug messages

• Torch-TensorRT Version (e.g. 1.0.0):1.0.0
• PyTorch Version (e.g. 1.0):1.1
• CPU Architecture:
• OS (e.g., Linux): Linux
• How you installed PyTorch (conda, pip, libtorch, source): pip
• Build command you used (if compiling from source):
• Are you using local sources or building from archives:
• Python version: 3.8
• CUDA version: 11.4
• GPU models and configuration: RTX 2080 Ti
• Any other relevant information:

Additional context