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体验新版 GitCode,发现更多精彩内容 >>
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0d642d3a
编写于
4月 07, 2022
作者:
H
hong
提交者:
GitHub
4月 07, 2022
浏览文件
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电子邮件补丁
差异文件
add norm, segment_pool (#41465)
上级
50ddc0b2
变更
7
隐藏空白更改
内联
并排
Showing
7 changed file
with
49 addition
and
12 deletion
+49
-12
python/paddle/fluid/tests/unittests/test_bincount_op.py
python/paddle/fluid/tests/unittests/test_bincount_op.py
+4
-1
python/paddle/fluid/tests/unittests/test_norm_op.py
python/paddle/fluid/tests/unittests/test_norm_op.py
+1
-0
python/paddle/fluid/tests/unittests/test_segment_ops.py
python/paddle/fluid/tests/unittests/test_segment_ops.py
+16
-2
python/paddle/incubate/tensor/math.py
python/paddle/incubate/tensor/math.py
+4
-4
python/paddle/tensor/linalg.py
python/paddle/tensor/linalg.py
+2
-5
python/paddle/utils/code_gen/api.yaml
python/paddle/utils/code_gen/api.yaml
+11
-0
python/paddle/utils/code_gen/backward.yaml
python/paddle/utils/code_gen/backward.yaml
+11
-0
未找到文件。
python/paddle/fluid/tests/unittests/test_bincount_op.py
浏览文件 @
0d642d3a
...
...
@@ -126,6 +126,7 @@ class TestBincountOp(OpTest):
# without weights
def
setUp
(
self
):
self
.
op_type
=
"bincount"
self
.
python_api
=
paddle
.
bincount
self
.
init_test_case
()
self
.
inputs
=
{
"X"
:
self
.
np_input
}
self
.
attrs
=
{
"minlength"
:
self
.
minlength
}
...
...
@@ -137,13 +138,14 @@ class TestBincountOp(OpTest):
self
.
Out
=
np
.
bincount
(
self
.
np_input
,
minlength
=
self
.
minlength
)
def
test_check_output
(
self
):
self
.
check_output
()
self
.
check_output
(
check_eager
=
False
)
class
TestCase1
(
TestBincountOp
):
# with weights(FLOAT32)
def
setUp
(
self
):
self
.
op_type
=
"bincount"
self
.
python_api
=
paddle
.
bincount
self
.
init_test_case
()
self
.
inputs
=
{
"X"
:
self
.
np_input
,
"Weights"
:
self
.
np_weights
}
self
.
attrs
=
{
"minlength"
:
self
.
minlength
}
...
...
@@ -163,6 +165,7 @@ class TestCase2(TestBincountOp):
# with weights(other)
def
setUp
(
self
):
self
.
op_type
=
"bincount"
self
.
python_api
=
paddle
.
bincount
self
.
init_test_case
()
self
.
inputs
=
{
"X"
:
self
.
np_input
,
"Weights"
:
self
.
np_weights
}
self
.
attrs
=
{
"minlength"
:
self
.
minlength
}
...
...
python/paddle/fluid/tests/unittests/test_norm_op.py
浏览文件 @
0d642d3a
...
...
@@ -32,6 +32,7 @@ def l2_norm(x, axis, epsilon):
class
TestNormOp
(
OpTest
):
def
setUp
(
self
):
self
.
op_type
=
"norm"
self
.
python_api
=
paddle
.
fluid
.
layers
.
l2_normalize
self
.
init_test_case
()
self
.
init_dtype
()
x
=
np
.
random
.
random
(
self
.
shape
).
astype
(
self
.
dtype
)
...
...
python/paddle/fluid/tests/unittests/test_segment_ops.py
浏览文件 @
0d642d3a
...
...
@@ -73,6 +73,17 @@ def compute_segment_min_max(x, segment_ids, pooltype="MAX"):
return
results
,
gradient
/
results
.
size
def
segment_pool_split
(
X
,
SegmentIds
,
pooltype
):
if
pooltype
==
"SUM"
:
return
paddle
.
incubate
.
tensor
.
segment_sum
(
X
,
SegmentIds
)
elif
pooltype
==
"MEAN"
:
return
paddle
.
incubate
.
tensor
.
segment_mean
(
X
,
SegmentIds
)
elif
pooltype
==
"MIN"
:
return
paddle
.
incubate
.
tensor
.
segment_min
(
X
,
SegmentIds
)
elif
pooltype
==
"MAX"
:
return
paddle
.
incubate
.
tensor
.
segment_max
(
X
,
SegmentIds
)
class
TestSegmentOps
(
OpTest
):
def
set_data
(
self
):
x
=
np
.
random
.
uniform
(
-
1
,
1
,
self
.
shape
).
astype
(
self
.
dtype
)
...
...
@@ -90,6 +101,8 @@ class TestSegmentOps(OpTest):
def
prepare
(
self
):
self
.
op_type
=
"segment_pool"
self
.
python_api
=
segment_pool_split
self
.
python_out_sig
=
[
"Out"
]
self
.
dtype
=
np
.
float64
self
.
shape
=
[
30
,
15
]
self
.
attrs
=
{
"pooltype"
:
"SUM"
}
...
...
@@ -105,10 +118,10 @@ class TestSegmentOps(OpTest):
self
.
outputs
=
{
'Out'
:
result
.
astype
(
self
.
dtype
)}
def
test_check_output
(
self
):
self
.
check_output
()
self
.
check_output
(
check_eager
=
True
)
def
test_check_grad
(
self
):
self
.
check_grad
([
"X"
],
"Out"
)
self
.
check_grad
([
"X"
],
"Out"
,
check_eager
=
True
)
class
TestSegmentSum2
(
TestSegmentOps
):
...
...
@@ -259,4 +272,5 @@ class API_SegmentOpsTest(unittest.TestCase):
if
__name__
==
'__main__'
:
paddle
.
enable_static
()
unittest
.
main
()
python/paddle/incubate/tensor/math.py
浏览文件 @
0d642d3a
...
...
@@ -52,7 +52,7 @@ def segment_sum(data, segment_ids, name=None):
"""
if
in_dygraph_mode
():
return
_C_ops
.
final_state_segment_pool
(
data
,
segment_ids
m
,
"SUM"
)[
0
]
return
_C_ops
.
final_state_segment_pool
(
data
,
segment_ids
,
"SUM"
)[
0
]
if
_in_legacy_dygraph
():
out
,
tmp
=
_C_ops
.
segment_pool
(
data
,
segment_ids
,
'pooltype'
,
"SUM"
)
return
out
...
...
@@ -109,7 +109,7 @@ def segment_mean(data, segment_ids, name=None):
"""
if
in_dygraph_mode
():
return
_C_ops
.
final_state_segment_pool
(
data
,
segment_ids
m
,
"MEAN"
)[
0
]
return
_C_ops
.
final_state_segment_pool
(
data
,
segment_ids
,
"MEAN"
)[
0
]
if
_non_static_mode
():
out
,
tmp
=
_C_ops
.
segment_pool
(
data
,
segment_ids
,
'pooltype'
,
"MEAN"
)
return
out
...
...
@@ -165,7 +165,7 @@ def segment_min(data, segment_ids, name=None):
"""
if
in_dygraph_mode
():
return
_C_ops
.
final_state_segment_pool
(
data
,
segment_ids
m
,
"MIN"
)[
0
]
return
_C_ops
.
final_state_segment_pool
(
data
,
segment_ids
,
"MIN"
)[
0
]
if
_non_static_mode
():
out
,
tmp
=
_C_ops
.
segment_pool
(
data
,
segment_ids
,
'pooltype'
,
"MIN"
)
...
...
@@ -222,7 +222,7 @@ def segment_max(data, segment_ids, name=None):
"""
if
in_dygraph_mode
():
out
,
tmp
=
_C_ops
.
final_state_segment_pool
(
data
,
segment_ids
,
"MAX"
)[
0
]
out
=
_C_ops
.
final_state_segment_pool
(
data
,
segment_ids
,
"MAX"
)[
0
]
return
out
if
_non_static_mode
():
...
...
python/paddle/tensor/linalg.py
浏览文件 @
0d642d3a
...
...
@@ -17,7 +17,7 @@ from ..fluid.layer_helper import LayerHelper
from
..framework
import
_varbase_creator
,
_dygraph_tracer
from
..fluid.data_feeder
import
check_variable_and_dtype
,
check_type
,
check_dtype
from
..static
import
Variable
from
..fluid.framework
import
_in_legacy_dygraph
,
in_dygraph_mode
from
..fluid.framework
import
_in_legacy_dygraph
,
in_dygraph_mode
,
_non_static_mode
from
..fluid.layers
import
transpose
,
cast
# noqa: F401
from
..fluid
import
layers
import
paddle
...
...
@@ -1487,10 +1487,7 @@ def bincount(x, weights=None, minlength=0, name=None):
if
x
.
dtype
not
in
[
paddle
.
int32
,
paddle
.
int64
]:
raise
TypeError
(
"Elements in Input(x) should all be integers"
)
# if in_dygraph_mode():
# return _C_ops.final_state_bincount(x, weights, minlength)
if
_in_legacy_dygraph
():
if
_non_static_mode
():
return
_C_ops
.
bincount
(
x
,
weights
,
"minlength"
,
minlength
)
helper
=
LayerHelper
(
'bincount'
,
**
locals
())
...
...
python/paddle/utils/code_gen/api.yaml
浏览文件 @
0d642d3a
...
...
@@ -1363,6 +1363,16 @@
optional
:
weight
backward
:
nll_loss_grad
-
api
:
norm
args
:
(Tensor x, int axis, float epsilon, bool is_test)
output
:
Tensor(out), Tensor(norm)
infer_meta
:
func
:
NormInferMeta
kernel
:
func
:
norm
intermediate
:
norm
backward
:
norm_grad
-
api
:
not_equal
args
:
(Tensor x, Tensor y, int axis = -1)
output
:
Tensor
...
...
@@ -1669,6 +1679,7 @@
func
:
SegmentPoolInferMeta
kernel
:
func
:
segment_pool
data_type
:
x
backward
:
segment_pool_grad
# selu
...
...
python/paddle/utils/code_gen/backward.yaml
浏览文件 @
0d642d3a
...
...
@@ -980,6 +980,16 @@
data_type
:
input
optional
:
weight
-
backward_api
:
norm_grad
forward
:
norm (Tensor x, int axis, float epsilon, bool is_test) -> Tensor(out), Tensor(norm)
args
:
(Tensor x, Tensor norm, Tensor out_grad, int axis, float epsilon, bool is_test)
output
:
Tensor(x_grad)
infer_meta
:
func
:
UnchangedInferMeta
param
:
[
x
]
kernel
:
func
:
norm_grad
-
backward_api
:
p_norm_grad
forward
:
p_norm(Tensor x, float porder, int axis, float epsilon, bool keepdim, bool asvector=false) -> Tensor(out)
args
:
(Tensor x, Tensor out, Tensor out_grad, float porder, int axis, float epsilon, bool keepdim, bool asvector)
...
...
@@ -1211,6 +1221,7 @@
param
:
[
x
]
kernel
:
func
:
segment_pool_grad
optional
:
summed_ids
-
backward_api
:
selu_grad
forward
:
selu (Tensor x, float scale, float alpha) -> Tensor(out)
...
...
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