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[Bug Fix] Fix device and inf in generated unittest. #478

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Merged
JewelRoam merged 2 commits into from
Dec 23, 2025
Merged

[Bug Fix] Fix device and inf in generated unittest. #478

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07fcfe8
Fix device and inf in generated unittest.
Xreki Dec 22, 2025
cbf93a4
Enable try-run in renamer.
Xreki Dec 22, 2025
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13 changes: 4 additions & 9 deletions graph_net/sample_pass/agent_unittest_generator.py
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Original file line number Diff line number Diff line change
Expand Up @@ -22,7 +22,7 @@
{%- endif -%}
{{"\n"}}
import torch
from torch import device
from torch import device, inf


{% macro get_input_tensor_instance(tensor_meta, device) -%}
Expand All @@ -36,7 +36,7 @@
{%- if data is not none -%}
torch.tensor({{data}}, dtype={{dtype}}).reshape({{shape}}).to(device='{{device}}')
{%- elif dtype == "torch.bool" -%}
torch.rand({{shape}}, device={{device}}) > 0.5
torch.rand({{shape}}, device='{{device}}') > 0.5
{%- elif dtype in ["torch.int8", "torch.int16", "torch.int32", "torch.int64"] -%}
torch.randint({{min_val}}, {{max_val}} + 1, size={{shape}}, dtype={{dtype}}).to(device='{{device}}')
{%- elif dtype in ["torch.float16", "torch.bfloat16", "torch.float32", "torch.float64"] -%}
Expand Down Expand Up @@ -118,7 +118,7 @@ def test_main(self):
{%- if data is not none -%}
paddle.to_tensor({{data}}, dtype='{{dtype}}', shape={{shape}}).to(device='{{device}}')
{%- elif dtype == "bool" -%}
paddle.randint(low=0, high=2, shape={{shape}}, dtype='{{dtype}}')
paddle.randint(low=0, high=2, shape={{shape}}, dtype='{{dtype}}').to(device='{{device}}')
{%- elif dtype in ["int8", "int16", "int32", "int64"] -%}
paddle.randint(low={{min_val}}, high={{max_val}} + 1, shape={{shape}}, dtype='{{dtype}}').to(device='{{device}}')
{%- elif dtype in ["float16", "bfloat16", "float32", "float64"] -%}
Expand Down Expand Up @@ -456,13 +456,8 @@ def __call__(self, rel_model_path: str):
self.resumable_handle_sample(rel_model_path)

def sample_handled(self, rel_model_path: str) -> bool:
dst_model_path = Path(self.config["output_dir"]) / rel_model_path
if not dst_model_path.exists():
return False
output_name = self._get_output_name(rel_model_path)
num_model_py_files = len(list(dst_model_path.rglob(output_name)))
assert num_model_py_files <= 1
return num_model_py_files == 1
return self.naive_sample_handled(rel_model_path, search_file_name=output_name)

def _get_output_name(self, rel_model_path: str):
return f"{Path(rel_model_path).name}_test.py"
Expand Down
4 changes: 2 additions & 2 deletions graph_net/torch/graph_variable_renamer.py
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Original file line number Diff line number Diff line change
Expand Up @@ -102,11 +102,11 @@ def __call__(self, rel_model_path):
src_model_path, temp_model_path, rename_map
)
self._update_input_meta_py_file(src_model_path, temp_model_path, rename_map)
# print("Try to run renamed model...")
# self._try_run(temp_model_path)
self._try_run(temp_model_path)
shutil.copytree(temp_model_path, dst_model_path)

def _try_run(self, model_path):
print(f"[GraphVariableRenamer] Try to run {model_path}")
assert self.model_runnable_predicator(
model_path
), f"{model_path} is not a runnable model"
Expand Down