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Function Schema:
torch.ops.aten.expand.default: ((torch.int64,), {})
torch.ops.aten.slice.Tensor: ((torch.float32,), {})
torch.ops.aten.slice.Tensor: ((torch.int32,), {})
torch.ops.aten.select.int: ((torch.float32,), {})
Original PyTorch API: torch.expand, torch.slice, torch.select
torch.expand
torch.slice
torch.select
Relevant TensorRT Documentation: IGatherLayer, IShuffleLayer
Add support for slice, select, and expand as aten converters.
slice
select
expand
The text was updated successfully, but these errors were encountered:
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narendasan
gs-olive
Successfully merging a pull request may close this issue.
aten.slice, aten.select, aten.expand
Function Schema:
torch.ops.aten.expand.default: ((torch.int64,), {})
torch.ops.aten.slice.Tensor: ((torch.float32,), {})
torch.ops.aten.slice.Tensor: ((torch.int32,), {})
torch.ops.aten.slice.Tensor: ((torch.float32,), {})
torch.ops.aten.slice.Tensor: ((torch.int32,), {})
torch.ops.aten.select.int: ((torch.float32,), {})
Original PyTorch API:
torch.expand
,torch.slice
,torch.select
Relevant TensorRT Documentation: IGatherLayer, IShuffleLayer
Add support for
slice
,select
, andexpand
as aten converters.The text was updated successfully, but these errors were encountered: