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a43eee40
编写于
3月 13, 2018
作者:
C
chengduoZH
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92e2207e
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1 changed file
with
14 addition
and
15 deletion
+14
-15
python/paddle/fluid/tests/unittests/test_lookup_table_op.py
python/paddle/fluid/tests/unittests/test_lookup_table_op.py
+14
-15
未找到文件。
python/paddle/fluid/tests/unittests/test_lookup_table_op.py
浏览文件 @
a43eee40
...
@@ -53,18 +53,11 @@ class TestLookupTableIdsIsSelectedRows(OpTest):
...
@@ -53,18 +53,11 @@ class TestLookupTableIdsIsSelectedRows(OpTest):
def
check_with_place
(
self
,
place
):
def
check_with_place
(
self
,
place
):
scope
=
core
.
Scope
()
scope
=
core
.
Scope
()
# create and initialize
Grad
Variable
# create and initialize Variable
height
=
10
height
=
10
rows
=
[
0
,
4
,
4
,
7
]
rows
=
[
0
,
4
,
4
,
7
]
row_numel
=
12
row_numel
=
12
ids_selected_rows
=
scope
.
var
(
'Ids'
).
get_selected_rows
()
ids_selected_rows
.
set_height
(
height
)
ids_selected_rows
.
set_rows
(
rows
)
np_array
=
np
.
ones
((
len
(
rows
),
row_numel
)).
astype
(
"float32"
)
ids_tensor
=
ids_selected_rows
.
get_tensor
()
ids_tensor
.
set
(
np_array
,
place
)
# create and initialize W Variable
# create and initialize W Variable
W
=
scope
.
var
(
'W'
).
get_tensor
()
W
=
scope
.
var
(
'W'
).
get_tensor
()
W_array
=
np
.
full
((
height
,
row_numel
),
1.0
).
astype
(
"float32"
)
W_array
=
np
.
full
((
height
,
row_numel
),
1.0
).
astype
(
"float32"
)
...
@@ -72,20 +65,26 @@ class TestLookupTableIdsIsSelectedRows(OpTest):
...
@@ -72,20 +65,26 @@ class TestLookupTableIdsIsSelectedRows(OpTest):
W_array
[
i
]
*=
i
W_array
[
i
]
*=
i
W
.
set
(
W_array
,
place
)
W
.
set
(
W_array
,
place
)
# create and initialize Ids Variable
ids_selected_rows
=
scope
.
var
(
'Ids'
).
get_selected_rows
()
ids_selected_rows
.
set_height
(
len
(
rows
))
ids_selected_rows
.
set_rows
(
rows
)
np_array
=
np
.
ones
((
len
(
rows
),
row_numel
)).
astype
(
"float32"
)
ids_tensor
=
ids_selected_rows
.
get_tensor
()
ids_tensor
.
set
(
np_array
,
place
)
# create Out Variable
Out
=
scope
.
var
(
'Out'
).
get_selected_rows
()
Out
=
scope
.
var
(
'Out'
).
get_selected_rows
()
Out_array
=
np
.
full
((
len
(
rows
),
row_numel
),
-
1.0
).
astype
(
"float32"
)
Out
.
set_height
(
height
)
Out
.
set_rows
(
rows
)
Out_tensor
=
Out
.
get_tensor
()
Out_tensor
.
set
(
Out_array
,
place
)
# create and run
concat_rows_op
operator
# create and run
lookup_table
operator
concat_rows_op
=
Operator
(
"lookup_table"
,
W
=
'W'
,
Ids
=
'Ids'
,
Out
=
'Out'
)
concat_rows_op
=
Operator
(
"lookup_table"
,
W
=
'W'
,
Ids
=
'Ids'
,
Out
=
'Out'
)
concat_rows_op
.
run
(
scope
,
place
)
concat_rows_op
.
run
(
scope
,
place
)
# get and compare result
# get result from Out
Out_tensor
=
Out
.
get_tensor
()
result_array
=
np
.
array
(
Out_tensor
)
result_array
=
np
.
array
(
Out_tensor
)
# all(): return True if all elements of the iterable are true (or if the iterable is empty)
for
idx
,
row
in
enumerate
(
rows
):
for
idx
,
row
in
enumerate
(
rows
):
assert
(
row
==
result_array
[
idx
]).
all
()
assert
(
row
==
result_array
[
idx
]).
all
()
...
...
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