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[FX] Fix tests warnings #4083

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Merged
AlexanderDokuchaev merged 1 commit into from
May 19, 2026
Merged

[FX] Fix tests warnings #4083

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6 changes: 3 additions & 3 deletions tests/torch/function_hook/quantization/test_weights_compression.py
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Original file line number Diff line number Diff line change
Expand Up @@ -73,7 +73,7 @@ def __init__(self):
for _, main_value in enumerate(self.main_values):
weights_data = torch.arange(0, 16, dtype=torch.float32).reshape(4, 4)
weights_data[-1, -1] = main_value
weight_tensor = torch.tensor(weights_data)
weight_tensor = weights_data.detach().clone()
layer = nn.Linear(4, 4, bias=False)
layer.weight = nn.Parameter(weight_tensor.t())
self.layers.append(layer)
Expand Down Expand Up @@ -223,9 +223,9 @@ def __init__(self, non_mergable_pattern: bool = False, is_int8=False):
def get_linear_layer(self, weights_data, is_int8):
if not is_int8:
linear_layer = nn.Linear(weights_data.shape[1], weights_data.shape[0], bias=False)
linear_layer.weight = nn.Parameter(torch.tensor(weights_data, dtype=torch.float32))
linear_layer.weight = nn.Parameter(weights_data.detach().clone().to(dtype=torch.float32))
else:
qw = torch.tensor(weights_data, dtype=torch.uint8).float()
qw = weights_data.detach().clone().to(dtype=torch.uint8).float()
zp = torch.tensor([2**7], dtype=torch.uint8).float()
scale = torch.ones((weights_data.shape[0], 1), dtype=torch.float32)
weights = (qw - zp) * scale
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2 changes: 1 addition & 1 deletion tests/torch/fx/test_statistics_aggregator.py
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Expand Up @@ -93,7 +93,7 @@ def dataset_samples(self, dataset_values):
dataset_samples[0][0, i, 0, 0] = value["max"]
dataset_samples[0][0, i, 0, 1] = value["min"]

return torch.tensor(dataset_samples, dtype=torch.float32)
return torch.tensor(np.array(dataset_samples), dtype=torch.float32)

@pytest.fixture(params=[False], ids=["out_of_palce"])
def inplace_statistics(self, request) -> bool:
Expand Down