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[Relax][PyTorch] Cleanup Tensor Manipulation and Creation op converters #17376

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merged 29 commits into from
Sep 16, 2024
Merged

[Relax][PyTorch] Cleanup Tensor Manipulation and Creation op converters #17376

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5be96be
cleanup `_cat()`
mshr-h Sep 14, 2024
363a7e6
cleanup `_cumsum()`
mshr-h Sep 14, 2024
16631fe
cleanup `_expand()`
mshr-h Sep 14, 2024
9c6a9b6
cleanup `_flatten()`
mshr-h Sep 14, 2024
b96f594
cleanup `_permute()`
mshr-h Sep 14, 2024
6cbd8aa
cleanup `_repeat()`
mshr-h Sep 14, 2024
3025d2c
cleanup `_reshape()`
mshr-h Sep 14, 2024
fe05adf
cleanup `_size()`
mshr-h Sep 14, 2024
a387888
cleanup `_split()`
mshr-h Sep 14, 2024
4c51b88
cleanup `_squeeze()`
mshr-h Sep 14, 2024
4416225
cleanup `_tile()`
mshr-h Sep 14, 2024
1cfc75d
cleanup `_transpose()`
mshr-h Sep 14, 2024
c9845aa
cleanup `chunk()`
mshr-h Sep 14, 2024
13f6657
cleanup `_arange()`
mshr-h Sep 14, 2024
2716433
cleanup `_empty()`
mshr-h Sep 14, 2024
b516828
cleanup `_inplace_fill()`
mshr-h Sep 14, 2024
f657b9c
cleanup `_full()`
mshr-h Sep 14, 2024
a21b1f5
cleanup `_index_select()`
mshr-h Sep 14, 2024
64a7edd
cleanup `_inplace_masked_fill()`
mshr-h Sep 14, 2024
3d90ce1
cleanup `_masked_fill()`
mshr-h Sep 14, 2024
98ae305
cleanup `_new_ones()`
mshr-h Sep 14, 2024
63512f8
cleanup `_ones()`
mshr-h Sep 14, 2024
0305588
cleanup `_tensor()`
mshr-h Sep 14, 2024
5bd647f
`_inplace_tril_triu()` is an unary op
mshr-h Sep 14, 2024
e35093e
`_batch_norm_2d()` is a nn ops
mshr-h Sep 14, 2024
49e5576
`_interpolate()` is a nn ops
mshr-h Sep 14, 2024
669ca0f
`_cross_entropy()` is a nn ops
mshr-h Sep 14, 2024
7521211
chore
mshr-h Sep 14, 2024
f78e9cd
fix tensor size
mshr-h Sep 16, 2024
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cleanup _repeat()
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@mshr-h
mshr-h committed Sep 15, 2024
commit 6cbd8aa5ba975daa00393bacfc5412cc4ae9186d
16 changes: 8 additions & 8 deletions python/tvm/relax/frontend/torch/fx_translator.py
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Original file line number Diff line number Diff line change
Expand Up @@ -977,6 +977,14 @@ def _permute(self, node: fx.Node) -> relax.Var:
dims = args[1] if isinstance(args[1], (torch.Size, tuple, list)) else args[1:]
return self.block_builder.emit(relax.op.permute_dims(x, dims))

def _repeat(self, node: fx.Node) -> relax.Var:
import torch # type: ignore

args = self.retrieve_args(node)
x = args[0]
dims = args[1] if isinstance(args[1], (torch.Size, tuple, list)) else args[1:]
return self.block_builder.emit(relax.op.tile(x, dims))

########## DataType ##########

def _float(self, node: fx.Node) -> relax.Var:
Expand Down Expand Up @@ -1196,14 +1204,6 @@ def _squeeze(self, node: fx.Node) -> relax.Var:
dim = None
return self.block_builder.emit(relax.op.squeeze(x, dim))

def _repeat(self, node: fx.Node) -> relax.Var:
import torch # type: ignore

args = self.retrieve_args(node)
if isinstance(args[1], (torch.Size, tuple, list)):
return self.block_builder.emit(relax.op.tile(args[0], tuple(args[1])))
return self.block_builder.emit(relax.op.tile(args[0], args[1:]))

def _tile(self, node: fx.Node) -> relax.Var:
import torch # type: ignore

Expand Down