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体验新版 GitCode,发现更多精彩内容 >>
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e2867f5a
编写于
9月 18, 2019
作者:
C
Channingss
浏览文件
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浏览文件
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电子邮件补丁
差异文件
improve conversion for gather op
上级
19a7452f
变更
1
隐藏空白更改
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并排
Showing
1 changed file
with
41 addition
and
2 deletion
+41
-2
x2paddle/op_mapper/onnx_op_mapper.py
x2paddle/op_mapper/onnx_op_mapper.py
+41
-2
未找到文件。
x2paddle/op_mapper/onnx_op_mapper.py
浏览文件 @
e2867f5a
...
...
@@ -567,9 +567,9 @@ class ONNXOpMapper(OpMapper):
val_x
=
self
.
graph
.
get_input_node
(
node
,
idx
=
0
,
copy
=
True
)
indices
=
self
.
graph
.
get_input_node
(
node
,
idx
=
1
,
copy
=
True
)
indices_shape
=
indices
.
out_shapes
[
0
]
axis
=
node
.
get_attr
(
'axis'
)
axis
=
node
.
get_attr
(
'axis'
,
0
)
assert
len
(
indices_shape
)
<=
1
,
"Gather op don't support dim of indice >1
"
indices_shape
)
<=
2
,
"Gather op don't support dim of indice >2
"
if
axis
==
0
and
len
(
indices_shape
)
<=
1
:
node
.
fluid_code
.
add_layer
(
'gather'
,
inputs
=
{
...
...
@@ -598,6 +598,45 @@ class ONNXOpMapper(OpMapper):
inputs
=
node
,
output
=
node
,
param_attr
=
attr_trans
)
elif
len
(
indices_shape
)
>
1
:
from
functools
import
reduce
reshape_shape
=
reduce
(
lambda
x
,
y
:
x
*
y
,
indices_shape
)
node
.
fluid_code
.
add_layer
(
'reshape'
,
inputs
=
indices
,
output
=
indices
,
param_attr
=
{
'shape'
:
[
reshape_shape
,
]})
perm
=
list
(
range
(
len
(
val_x
.
out_shapes
[
0
])))
perm
=
[
axis
]
+
perm
[:
axis
]
+
perm
[
axis
+
1
:]
attr_trans
=
{
'perm'
:
perm
}
name_trans
=
val_x
.
layer_name
+
'_trans'
node
.
fluid_code
.
add_layer
(
'transpose'
,
inputs
=
val_x
,
output
=
name_trans
,
param_attr
=
attr_trans
)
node
.
fluid_code
.
add_layer
(
'gather'
,
inputs
=
{
'input'
:
name_trans
,
'index'
:
indices
},
output
=
node
,
param_attr
=
None
)
node
.
fluid_code
.
add_layer
(
'transpose'
,
inputs
=
node
,
output
=
node
,
param_attr
=
attr_trans
)
val_x_shape
=
val_x
.
out_shapes
[
0
]
reshaped_shape
=
[]
for
i
in
perm
:
reshaped_shape
.
append
(
indices_shape
[
i
])
for
i
in
val_x_shape
[:
axis
]
+
val_x_shape
[
axis
+
1
:]:
reshaped_shape
.
append
(
i
)
node
.
fluid_code
.
add_layer
(
'reshape'
,
inputs
=
node
,
output
=
node
,
param_attr
=
{
'shape'
:
reshaped_shape
})
def
Slice
(
self
,
node
):
val_x
=
self
.
graph
.
get_input_node
(
node
,
idx
=
0
,
copy
=
True
)
...
...
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