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[Cleanup] Remove unreachable _legacy_C_ops branches #61771

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Merged
SigureMo merged 11 commits into from
Feb 18, 2024
Merged

[Cleanup] Remove unreachable _legacy_C_ops branches #61771

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8989ecc
Update test_zero_dim_tensor.py
DrRyanHuang Feb 4, 2024
c569367
fix bool(Value) error
DrRyanHuang Feb 4, 2024
801d065
fix return
DrRyanHuang Feb 5, 2024
1c260eb
add Variable
DrRyanHuang Feb 6, 2024
3e633c7
rm x.py
DrRyanHuang Feb 6, 2024
ff8b963
Merge branch 'develop' into zero_dim1
DrRyanHuang Feb 8, 2024
9a6249d
rm func && rm comment
DrRyanHuang Feb 8, 2024
05bcad8
rm legacy OP
DrRyanHuang Feb 15, 2024
22d9ec9
Merge branch 'develop' into rm_legacy
DrRyanHuang Feb 15, 2024
b47b3f1
remove in vision.py
SigureMo Feb 15, 2024
d727738
empty commit, re-trigger all ci
SigureMo Feb 15, 2024
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56 changes: 1 addition & 55 deletions python/paddle/nn/functional/pooling.py
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Original file line number Diff line number Diff line change
Expand Up @@ -14,7 +14,7 @@

import numpy as np

from paddle import _C_ops, _legacy_C_ops, in_dynamic_mode
from paddle import _C_ops, in_dynamic_mode
from paddle.base.framework import (
Variable,
in_dygraph_mode,
Expand Down Expand Up @@ -830,24 +830,6 @@ def max_unpool1d(
x, indices, kernel_size, stride, padding, output_size, data_format
)
return squeeze(output, [2])
elif in_dynamic_mode():
output = _legacy_C_ops.unpool(
x,
indices,
'unpooling_type',
'max',
'ksize',
kernel_size,
'strides',
stride,
'paddings',
padding,
"output_size",
output_size,
"data_format",
data_format,
)
return squeeze(output, [2])

op_type = "unpool"
helper = LayerHelper(op_type, **locals())
Expand Down Expand Up @@ -980,24 +962,6 @@ def max_unpool2d(
x, indices, kernel_size, stride, padding, output_size, data_format
)
return output
elif in_dynamic_mode():
output = _legacy_C_ops.unpool(
x,
indices,
'unpooling_type',
'max',
'ksize',
kernel_size,
'strides',
stride,
'paddings',
padding,
"output_size",
output_size,
"data_format",
data_format,
)
return output

op_type = "unpool"
helper = LayerHelper(op_type, **locals())
Expand Down Expand Up @@ -1127,24 +1091,6 @@ def max_unpool3d(
x, indices, kernel_size, stride, padding, output_size, data_format
)
return output
elif in_dynamic_mode():
output = _legacy_C_ops.unpool3d(
x,
indices,
'unpooling_type',
'max',
'ksize',
kernel_size,
'strides',
stride,
'paddings',
padding,
"output_size",
output_size,
"data_format",
data_format,
)
return output

op_type = "unpool3d"
helper = LayerHelper(op_type, **locals())
Expand Down