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20b12765
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体验新版 GitCode,发现更多精彩内容 >>
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20b12765
编写于
11月 18, 2020
作者:
W
wawltor
提交者:
GitHub
11月 18, 2020
浏览文件
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差异文件
faster the compare ops dygraph model speed
faster the compare ops dygraph model speed
上级
5a9f6889
变更
2
隐藏空白更改
内联
并排
Showing
2 changed file
with
97 addition
and
6 deletion
+97
-6
python/paddle/fluid/tests/unittests/test_compare_op.py
python/paddle/fluid/tests/unittests/test_compare_op.py
+9
-0
python/paddle/tensor/logic.py
python/paddle/tensor/logic.py
+88
-6
未找到文件。
python/paddle/fluid/tests/unittests/test_compare_op.py
浏览文件 @
20b12765
...
@@ -93,6 +93,15 @@ def create_paddle_case(op_type, callback):
...
@@ -93,6 +93,15 @@ def create_paddle_case(op_type, callback):
fetch_list
=
[
out
])
fetch_list
=
[
out
])
self
.
assertEqual
((
res
==
self
.
real_result
).
all
(),
True
)
self
.
assertEqual
((
res
==
self
.
real_result
).
all
(),
True
)
def
test_dynamic_api
(
self
):
paddle
.
disable_static
()
x
=
paddle
.
to_tensor
(
self
.
input_x
)
y
=
paddle
.
to_tensor
(
self
.
input_y
)
op
=
eval
(
"paddle.%s"
%
(
self
.
op_type
))
out
=
op
(
x
,
y
)
self
.
assertEqual
((
out
.
numpy
()
==
self
.
real_result
).
all
(),
True
)
paddle
.
enable_static
()
def
test_broadcast_api_1
(
self
):
def
test_broadcast_api_1
(
self
):
paddle
.
enable_static
()
paddle
.
enable_static
()
with
program_guard
(
Program
(),
Program
()):
with
program_guard
(
Program
(),
Program
()):
...
...
python/paddle/tensor/logic.py
浏览文件 @
20b12765
...
@@ -216,7 +216,20 @@ def equal(x, y, name=None):
...
@@ -216,7 +216,20 @@ def equal(x, y, name=None):
result1 = paddle.equal(x, y)
result1 = paddle.equal(x, y)
print(result1.numpy()) # result1 = [True False False]
print(result1.numpy()) # result1 = [True False False]
"""
"""
out
=
fluid
.
layers
.
equal
(
x
,
y
,
name
=
name
,
cond
=
None
)
if
in_dygraph_mode
():
return
core
.
ops
.
equal
(
x
,
y
)
check_variable_and_dtype
(
x
,
"x"
,
[
"float32"
,
"float64"
,
"int32"
,
"int64"
],
"equal"
)
check_variable_and_dtype
(
y
,
"y"
,
[
"float32"
,
"float64"
,
"int32"
,
"int64"
],
"equal"
)
helper
=
LayerHelper
(
"equal"
,
**
locals
())
out
=
helper
.
create_variable_for_type_inference
(
dtype
=
'bool'
)
out
.
stop_gradient
=
True
helper
.
append_op
(
type
=
'equal'
,
inputs
=
{
'X'
:
[
x
],
'Y'
:
[
y
]},
outputs
=
{
'Out'
:
[
out
]})
return
out
return
out
...
@@ -247,7 +260,22 @@ def greater_equal(x, y, name=None):
...
@@ -247,7 +260,22 @@ def greater_equal(x, y, name=None):
result1 = paddle.greater_equal(x, y)
result1 = paddle.greater_equal(x, y)
print(result1.numpy()) # result1 = [True False True]
print(result1.numpy()) # result1 = [True False True]
"""
"""
out
=
fluid
.
layers
.
greater_equal
(
x
,
y
,
name
=
name
,
cond
=
None
)
if
in_dygraph_mode
():
return
core
.
ops
.
greater_equal
(
x
,
y
)
check_variable_and_dtype
(
x
,
"x"
,
[
"float32"
,
"float64"
,
"int32"
,
"int64"
],
"greater_equal"
)
check_variable_and_dtype
(
y
,
"y"
,
[
"float32"
,
"float64"
,
"int32"
,
"int64"
],
"greater_equal"
)
helper
=
LayerHelper
(
"greater_equal"
,
**
locals
())
out
=
helper
.
create_variable_for_type_inference
(
dtype
=
'bool'
)
out
.
stop_gradient
=
True
helper
.
append_op
(
type
=
'greater_equal'
,
inputs
=
{
'X'
:
[
x
],
'Y'
:
[
y
]},
outputs
=
{
'Out'
:
[
out
]})
return
out
return
out
...
@@ -278,7 +306,22 @@ def greater_than(x, y, name=None):
...
@@ -278,7 +306,22 @@ def greater_than(x, y, name=None):
result1 = paddle.greater_than(x, y)
result1 = paddle.greater_than(x, y)
print(result1.numpy()) # result1 = [False False True]
print(result1.numpy()) # result1 = [False False True]
"""
"""
out
=
fluid
.
layers
.
greater_than
(
x
,
y
,
name
=
name
,
cond
=
None
)
if
in_dygraph_mode
():
return
core
.
ops
.
greater_than
(
x
,
y
)
check_variable_and_dtype
(
x
,
"x"
,
[
"float32"
,
"float64"
,
"int32"
,
"int64"
],
"greater_than"
)
check_variable_and_dtype
(
y
,
"y"
,
[
"float32"
,
"float64"
,
"int32"
,
"int64"
],
"greater_than"
)
helper
=
LayerHelper
(
"greater_than"
,
**
locals
())
out
=
helper
.
create_variable_for_type_inference
(
dtype
=
'bool'
)
out
.
stop_gradient
=
True
helper
.
append_op
(
type
=
'greater_than'
,
inputs
=
{
'X'
:
[
x
],
'Y'
:
[
y
]},
outputs
=
{
'Out'
:
[
out
]})
return
out
return
out
...
@@ -310,7 +353,20 @@ def less_equal(x, y, name=None):
...
@@ -310,7 +353,20 @@ def less_equal(x, y, name=None):
result1 = paddle.less_equal(x, y)
result1 = paddle.less_equal(x, y)
print(result1.numpy()) # result1 = [True True False]
print(result1.numpy()) # result1 = [True True False]
"""
"""
out
=
fluid
.
layers
.
less_equal
(
x
,
y
,
name
=
name
,
cond
=
None
)
if
in_dygraph_mode
():
return
core
.
ops
.
less_equal
(
x
,
y
)
check_variable_and_dtype
(
x
,
"x"
,
[
"float32"
,
"float64"
,
"int32"
,
"int64"
],
"less_equal"
)
check_variable_and_dtype
(
y
,
"y"
,
[
"float32"
,
"float64"
,
"int32"
,
"int64"
],
"less_equal"
)
helper
=
LayerHelper
(
"less_equal"
,
**
locals
())
out
=
helper
.
create_variable_for_type_inference
(
dtype
=
'bool'
)
out
.
stop_gradient
=
True
helper
.
append_op
(
type
=
'less_equal'
,
inputs
=
{
'X'
:
[
x
],
'Y'
:
[
y
]},
outputs
=
{
'Out'
:
[
out
]})
return
out
return
out
...
@@ -342,7 +398,20 @@ def less_than(x, y, name=None):
...
@@ -342,7 +398,20 @@ def less_than(x, y, name=None):
result1 = paddle.less_than(x, y)
result1 = paddle.less_than(x, y)
print(result1.numpy()) # result1 = [False True False]
print(result1.numpy()) # result1 = [False True False]
"""
"""
out
=
fluid
.
layers
.
less_than
(
x
,
y
,
force_cpu
=
False
,
name
=
name
,
cond
=
None
)
if
in_dygraph_mode
():
return
core
.
ops
.
less_than
(
x
,
y
)
check_variable_and_dtype
(
x
,
"x"
,
[
"float32"
,
"float64"
,
"int32"
,
"int64"
],
"less_than"
)
check_variable_and_dtype
(
y
,
"y"
,
[
"float32"
,
"float64"
,
"int32"
,
"int64"
],
"less_than"
)
helper
=
LayerHelper
(
"less_than"
,
**
locals
())
out
=
helper
.
create_variable_for_type_inference
(
dtype
=
'bool'
)
out
.
stop_gradient
=
True
helper
.
append_op
(
type
=
'less_than'
,
inputs
=
{
'X'
:
[
x
],
'Y'
:
[
y
]},
outputs
=
{
'Out'
:
[
out
]})
return
out
return
out
...
@@ -375,7 +444,20 @@ def not_equal(x, y, name=None):
...
@@ -375,7 +444,20 @@ def not_equal(x, y, name=None):
result1 = paddle.not_equal(x, y)
result1 = paddle.not_equal(x, y)
print(result1.numpy()) # result1 = [False True True]
print(result1.numpy()) # result1 = [False True True]
"""
"""
out
=
fluid
.
layers
.
not_equal
(
x
,
y
,
name
=
name
,
cond
=
None
)
if
in_dygraph_mode
():
return
core
.
ops
.
not_equal
(
x
,
y
)
check_variable_and_dtype
(
x
,
"x"
,
[
"float32"
,
"float64"
,
"int32"
,
"int64"
],
"not_equal"
)
check_variable_and_dtype
(
y
,
"y"
,
[
"float32"
,
"float64"
,
"int32"
,
"int64"
],
"not_equal"
)
helper
=
LayerHelper
(
"not_equal"
,
**
locals
())
out
=
helper
.
create_variable_for_type_inference
(
dtype
=
'bool'
)
out
.
stop_gradient
=
True
helper
.
append_op
(
type
=
'not_equal'
,
inputs
=
{
'X'
:
[
x
],
'Y'
:
[
y
]},
outputs
=
{
'Out'
:
[
out
]})
return
out
return
out
...
...
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