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体验新版 GitCode,发现更多精彩内容 >>
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ec008a71
编写于
4月 10, 2023
作者:
R
Roc
提交者:
GitHub
4月 10, 2023
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差异文件
[AMP OP & Test] Tril & Triu (#52411)
上级
648f58aa
变更
1
隐藏空白更改
内联
并排
Showing
1 changed file
with
82 addition
and
13 deletion
+82
-13
python/paddle/fluid/tests/unittests/test_tril_triu_op.py
python/paddle/fluid/tests/unittests/test_tril_triu_op.py
+82
-13
未找到文件。
python/paddle/fluid/tests/unittests/test_tril_triu_op.py
浏览文件 @
ec008a71
...
...
@@ -14,10 +14,11 @@
import
unittest
import
numpy
as
np
from
eager_op_test
import
OpTest
from
eager_op_test
import
OpTest
,
convert_float_to_uint16
import
paddle
from
paddle
import
fluid
,
tensor
from
paddle.fluid
import
core
from
paddle.fluid.framework
import
Program
,
program_guard
...
...
@@ -49,20 +50,58 @@ class TrilTriuOpDefaultTest(OpTest):
def
test_check_grad_normal
(
self
):
self
.
check_grad
([
'X'
],
'Out'
)
def
init_dtype
(
self
):
self
.
dtype
=
np
.
float64
def
initTestCase
(
self
):
self
.
init_dtype
()
self
.
real_op_type
=
np
.
random
.
choice
([
'triu'
,
'tril'
])
self
.
diagonal
=
None
self
.
X
=
np
.
arange
(
1
,
101
,
dtype
=
self
.
dtype
).
reshape
([
10
,
-
1
])
class
TrilTriuOpDefaultTestFP16
(
TrilTriuOpDefaultTest
):
def
init_dtype
(
self
):
self
.
dtype
=
np
.
float16
@
unittest
.
skipIf
(
not
core
.
is_compiled_with_cuda
()
or
not
core
.
is_bfloat16_supported
(
core
.
CUDAPlace
(
0
)),
'not supported bf16'
,
)
class
TrilTriuOpDefaultTestBF16
(
TrilTriuOpDefaultTest
):
def
init_dtype
(
self
):
self
.
dtype
=
np
.
uint16
def
setUp
(
self
):
super
().
setUp
()
self
.
outputs
[
"Out"
]
=
convert_float_to_uint16
(
self
.
outputs
[
"Out"
])
self
.
inputs
[
'X'
]
=
convert_float_to_uint16
(
self
.
inputs
[
'X'
])
def
initTestCase
(
self
):
self
.
init_dtype
()
self
.
real_op_type
=
np
.
random
.
choice
([
'triu'
,
'tril'
])
self
.
diagonal
=
None
self
.
X
=
np
.
arange
(
1
,
101
,
dtype
=
"float64"
).
reshape
([
10
,
-
1
])
self
.
X
=
np
.
arange
(
1
,
101
,
dtype
=
"float32"
).
reshape
([
10
,
-
1
])
def
test_check_output
(
self
):
self
.
check_output_with_place
(
core
.
CUDAPlace
(
0
))
def
test_check_grad_normal
(
self
):
self
.
check_grad_with_place
(
core
.
CUDAPlace
(
0
),
[
'X'
],
'Out'
,
numeric_grad_delta
=
0.05
)
def
case_generator
(
op_type
,
Xshape
,
diagonal
,
expected
):
def
case_generator
(
op_type
,
Xshape
,
diagonal
,
expected
,
dtype
):
"""
Generate testcases with the params shape of X, diagonal and op_type.
If arg`expercted` is 'success', it will register an Optest case and expect to pass.
Otherwise, it will register an API case and check the expect failure.
"""
cls_name
=
"{}_{}_shape_{}_diag_{}"
.
format
(
expected
,
op_type
,
Xshape
,
diagonal
cls_name
=
"{}_{}_shape_{}_diag_{}
_dtype_{}
"
.
format
(
expected
,
op_type
,
Xshape
,
diagonal
,
dtype
)
errmsg
=
{
"diagonal: TypeError"
:
"diagonal in {} must be a python Int"
.
format
(
...
...
@@ -93,7 +132,34 @@ def case_generator(op_type, Xshape, diagonal, expected):
self
.
diagonal
=
diagonal
self
.
X
=
np
.
random
.
random
(
Xshape
).
astype
(
"float64"
)
CLASS
=
locals
()[
'SuccessCase'
if
expected
==
"success"
else
'FailureCase'
]
class
SuccessCaseFP16
(
TrilTriuOpDefaultTestFP16
):
def
initTestCase
(
self
):
self
.
init_dtype
()
self
.
real_op_type
=
op_type
self
.
diagonal
=
diagonal
self
.
X
=
np
.
random
.
random
(
Xshape
).
astype
(
"float16"
)
class
SuccessCaseBF16
(
TrilTriuOpDefaultTestBF16
):
def
initTestCase
(
self
):
self
.
init_dtype
()
self
.
real_op_type
=
op_type
self
.
diagonal
=
diagonal
self
.
X
=
np
.
random
.
random
(
Xshape
).
astype
(
"float32"
)
if
dtype
==
"float64"
:
CLASS
=
locals
()[
'SuccessCase'
if
expected
==
"success"
else
'FailureCase'
]
elif
dtype
==
"float16"
:
CLASS
=
locals
()[
'SuccessCaseFP16'
if
expected
==
"success"
else
'FailureCase'
]
elif
dtype
==
"bfloat16"
:
CLASS
=
locals
()[
'SuccessCaseBF16'
if
expected
==
"success"
else
'FailureCase'
]
else
:
raise
ValueError
(
f
"Not supported dtype
{
dtype
}
"
)
CLASS
.
__name__
=
cls_name
globals
()[
cls_name
]
=
CLASS
...
...
@@ -119,13 +185,16 @@ cases = {
(
2020
,):
[
None
],
},
}
for
_op_type
in
[
'tril'
,
'triu'
]:
for
_expected
,
_params
in
cases
.
items
():
for
_Xshape
,
_diaglist
in
_params
.
items
():
[
case_generator
(
_op_type
,
_Xshape
,
_diagonal
,
_expected
)
for
_diagonal
in
_diaglist
]
for
dtype
in
[
"float64"
,
"float16"
,
"bfloat16"
]:
for
_op_type
in
[
'tril'
,
'triu'
]:
for
_expected
,
_params
in
cases
.
items
():
for
_Xshape
,
_diaglist
in
_params
.
items
():
[
case_generator
(
_op_type
,
_Xshape
,
_diagonal
,
_expected
,
dtype
)
for
_diagonal
in
_diaglist
]
class
TestTrilTriuOpAPI
(
unittest
.
TestCase
):
...
...
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