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Description
Index_put converter has the following cases missing
- Non consecutive indices
param(
test_name="nonconsecutive_caseOne",
source_tensor=torch.zeros([2,4,4,2], dtype=torch.float32),
indices_tensor=(None, torch.tensor([0, 0, 1, 1], dtype = torch.int64), None, torch.tensor([0, 0, 1, 1], dtype=torch.int64)),
value_tensor=torch.tensor([2, 3, 3, 4], dtype=torch.float32)
),
param(
test_name="nonconsecutive_caseTwo",
source_tensor=torch.zeros([2,4,4], dtype=torch.float32),
indices_tensor=(torch.tensor([0, 0, 1], dtype = torch.int64), None, torch.tensor([0, 0, 1], dtype=torch.int64)),
value_tensor=torch.tensor([2, 3, 3, 4], dtype=torch.float32),
),
- Dynamic shape support
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