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cda333f7
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cda333f7
编写于
7月 15, 2020
作者:
M
mindspore-ci-bot
提交者:
Gitee
7月 15, 2020
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!3100 [AutoParallel]fix modelzool widedeep scripts
Merge pull request !3100 from lichen/fix_model_zoo
上级
691f5889
df48941c
变更
1
隐藏空白更改
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Showing
1 changed file
with
3 addition
and
3 deletion
+3
-3
model_zoo/wide_and_deep/src/wide_and_deep.py
model_zoo/wide_and_deep/src/wide_and_deep.py
+3
-3
未找到文件。
model_zoo/wide_and_deep/src/wide_and_deep.py
浏览文件 @
cda333f7
...
@@ -188,7 +188,7 @@ class WideDeepModel(nn.Cell):
...
@@ -188,7 +188,7 @@ class WideDeepModel(nn.Cell):
self
.
deep_layer_act
,
self
.
deep_layer_act
,
use_activation
=
False
,
convert_dtype
=
True
,
drop_out
=
config
.
dropout_flag
)
use_activation
=
False
,
convert_dtype
=
True
,
drop_out
=
config
.
dropout_flag
)
self
.
embeddinglookup
=
nn
.
EmbeddingLookup
()
self
.
embeddinglookup
=
nn
.
EmbeddingLookup
(
target
=
'DEVICE'
)
self
.
mul
=
P
.
Mul
()
self
.
mul
=
P
.
Mul
()
self
.
reduce_sum
=
P
.
ReduceSum
(
keep_dims
=
False
)
self
.
reduce_sum
=
P
.
ReduceSum
(
keep_dims
=
False
)
self
.
reshape
=
P
.
Reshape
()
self
.
reshape
=
P
.
Reshape
()
...
@@ -206,11 +206,11 @@ class WideDeepModel(nn.Cell):
...
@@ -206,11 +206,11 @@ class WideDeepModel(nn.Cell):
"""
"""
mask
=
self
.
reshape
(
wt_hldr
,
(
self
.
batch_size
,
self
.
field_size
,
1
))
mask
=
self
.
reshape
(
wt_hldr
,
(
self
.
batch_size
,
self
.
field_size
,
1
))
# Wide layer
# Wide layer
wide_id_weight
=
self
.
embeddinglookup
(
self
.
wide_w
,
id_hldr
,
0
)
wide_id_weight
=
self
.
embeddinglookup
(
self
.
wide_w
,
id_hldr
)
wx
=
self
.
mul
(
wide_id_weight
,
mask
)
wx
=
self
.
mul
(
wide_id_weight
,
mask
)
wide_out
=
self
.
reshape
(
self
.
reduce_sum
(
wx
,
1
)
+
self
.
wide_b
,
(
-
1
,
1
))
wide_out
=
self
.
reshape
(
self
.
reduce_sum
(
wx
,
1
)
+
self
.
wide_b
,
(
-
1
,
1
))
# Deep layer
# Deep layer
deep_id_embs
=
self
.
embeddinglookup
(
self
.
embedding_table
,
id_hldr
,
0
)
deep_id_embs
=
self
.
embeddinglookup
(
self
.
embedding_table
,
id_hldr
)
vx
=
self
.
mul
(
deep_id_embs
,
mask
)
vx
=
self
.
mul
(
deep_id_embs
,
mask
)
deep_in
=
self
.
reshape
(
vx
,
(
-
1
,
self
.
field_size
*
self
.
emb_dim
))
deep_in
=
self
.
reshape
(
vx
,
(
-
1
,
self
.
field_size
*
self
.
emb_dim
))
deep_in
=
self
.
dense_layer_1
(
deep_in
)
deep_in
=
self
.
dense_layer_1
(
deep_in
)
...
...
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