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[PT FE] Allow setting kwargs for tracing in TS decoder #28328

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merged 1 commit into from
Jan 9, 2025
Merged

[PT FE] Allow setting kwargs for tracing in TS decoder #28328

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9 changes: 6 additions & 3 deletions src/bindings/python/src/openvino/frontend/pytorch/ts_decoder.py
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Original file line number Diff line number Diff line change
Expand Up @@ -38,6 +38,7 @@ def __init__(
skip_freeze=False,
constant_cache=None,
module_extensions=None,
trace_kwargs=None,
):
super().__init__()
# We store every decoder created by this decoder so that all them are not deleted until the first decoder is deleted
Expand All @@ -57,7 +58,7 @@ def __init__(
self.config = pt_module.config.to_dict()
try:
pt_module = self._get_scripted_model(
pt_module, example_input, skip_freeze)
pt_module, example_input, skip_freeze, trace_kwargs)
except Exception as e:
if example_input is not None:
msg = "tracing"
Expand Down Expand Up @@ -109,7 +110,7 @@ def _get_preserved_attributes(model) -> list:
preserved_attributes.append(name)
return preserved_attributes

def _get_scripted_model(self, pt_module, example_inputs=None, skip_freeze=False):
def _get_scripted_model(self, pt_module, example_inputs=None, skip_freeze=False, trace_kwargs=None):
freeze_by_default = False
if isinstance(pt_module, torch.nn.Module):
pt_module.eval()
Expand Down Expand Up @@ -154,9 +155,11 @@ def _get_scripted_model(self, pt_module, example_inputs=None, skip_freeze=False)
quantized.unpatch_quantized(pt_module)
patched = False

if trace_kwargs is None:
trace_kwargs = {}
try:
scripted = torch.jit.trace(
pt_module, **input_parameters, strict=False)
pt_module, **input_parameters, strict=False, **trace_kwargs)
finally:
if patched:
quantized.unpatch_quantized(pt_module)
Expand Down
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