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remove useless codes

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Former-commit-id: 9b2642a2b53d3392e95061ed0f2c8dc10580c9e8
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KUANGDD 2024-10-16 01:14:51 +08:00
parent 9c4941a1ea
commit a24f94a36c
1 changed files with 0 additions and 36 deletions
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36
tests/data/test_mm_plugin.py
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@ -68,42 +68,6 @@ def _get_mm_inputs(processor: "ProcessorMixin") -> Dict[str, "torch.Tensor"]:
image_processor: "BaseImageProcessor" = getattr(processor, "image_processor") image_processor: "BaseImageProcessor" = getattr(processor, "image_processor")
return image_processor(images=IMAGES, return_tensors="pt") return image_processor(images=IMAGES, return_tensors="pt")
def _is_nested_tensor_list(element):
if not isinstance(element, list):
return False
for item in element:
if isinstance(item, list):
if not _is_nested_tensor_list(item):
return False
elif not isinstance(item, torch.Tensor):
return False
return True
def _equal_nested_tensor_list(a: List[List[torch.Tensor]], b: List[List[torch.Tensor]]) -> bool:
if type(a) != type(b):
return False
if isinstance(a, list) and isinstance(b, list):
if len(a) != len(b):
return False
for sub_a, sub_b in zip(a, b):
if isinstance(sub_a, list) and isinstance(sub_b, list):
if not _equal_nested_tensor_list(sub_a, sub_b):
return False
elif isinstance(sub_a, torch.Tensor) and isinstance(sub_b, torch.Tensor):
if not torch.equal(sub_a, sub_b):
return False
else:
return False
return True
return False
def _is_close(batch_a: Dict[str, Any], batch_b: Dict[str, Any]) -> None: def _is_close(batch_a: Dict[str, Any], batch_b: Dict[str, Any]) -> None:
assert batch_a.keys() == batch_b.keys() assert batch_a.keys() == batch_b.keys()