fix: include str ivalue type conversion #1785
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gs-olive
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Mar 30, 2023
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Looks good to me, just made a style recommendation, and I've verified that this resolves the error being displayed in #1756. I do see another error now when running that model, however, also during partitioning:
/usr/local/lib/python3.8/dist-packages/torch/jit/_recursive.py:266: UserWarning: 'batch_first' was found in ScriptModule constants, but was not actually set in __init__. Consider removing it.
warnings.warn("'{}' was found in ScriptModule constants, "
Traceback (most recent call last):
File "issue_1756.py", line 56, in <module>
trt_ts_module = torch_tensorrt.compile(
File "~/TensorRT/py/torch_tensorrt/_compile.py", line 125, in compile
return torch_tensorrt.ts.compile(
File "~/TensorRT/py/torch_tensorrt/ts/_compiler.py", line 136, in compile
compiled_cpp_mod = _C.compile_graph(module._c, _parse_compile_spec(spec))
RuntimeError: Expected Tensor but got Uninitialized
gs-olive
reviewed
Mar 30, 2023
core/partitioning/shape_analysis.cpp
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| @@ -208,6 +208,8 @@ void getSegmentsOutputByRunning( | |||
| jit_inputs_ivalues.push_back(ivalues_maps[input].toGenericDict()); | |||
| } else if (input->type()->kind() == torch::jit::TypeKind::DeviceObjType) { | |||
| jit_inputs_ivalues.push_back(ivalues_maps[input].toDevice()); | |||
| } else if (input->type() == (torch::jit::StringType::get())) { | |||
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Consider switching to input->type()->isSubtypeOf(torch::jit::StringType::get()), for consistency with the above operators (lines 188 - 197)
Yes, I also noticed this one, Iet me cc you for that discussion |
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Description
Fixes #1756
Type of change
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