[NPU] fix for ddn, ffm, fm

Author: windstamp

models/rank/dnn/net.py

@@ -34,10 +34,14 @@ def __init__(self,
         self.num_field = num_field
         self.layer_sizes = layer_sizes
 
+        use_sparse = True
+        if paddle.is_compiled_with_npu():
+            use_sparse = False
+
         self.embedding = paddle.nn.Embedding(
             self.sparse_feature_number,
             self.sparse_feature_dim,
-            sparse=True,
+            sparse=use_sparse,
             weight_attr=paddle.ParamAttr(
                 name="SparseFeatFactors",
                 initializer=paddle.nn.initializer.Uniform()))

models/rank/ffm/net.py

@@ -57,11 +57,15 @@ def __init__(self, sparse_feature_number, sparse_feature_dim,
         self.sparse_num_field = sparse_num_field
         self.init_value_ = 0.1
 
+        use_sparse = True
+        if paddle.is_compiled_with_npu():
+            use_sparse = False
+
         # sparse part coding
         self.embedding_one = paddle.nn.Embedding(
             sparse_feature_number,
             1,
-            sparse=True,
+            sparse=use_sparse,
             weight_attr=paddle.ParamAttr(
                 initializer=paddle.nn.initializer.TruncatedNormal(
                     mean=0.0,
@@ -71,7 +75,7 @@ def __init__(self, sparse_feature_number, sparse_feature_dim,
         self.embedding = paddle.nn.Embedding(
             self.sparse_feature_number,
             self.sparse_feature_dim * self.sparse_num_field,
-            sparse=True,
+            sparse=use_sparse,
             weight_attr=paddle.ParamAttr(
                 initializer=paddle.nn.initializer.TruncatedNormal(
                     mean=0.0,

models/rank/fm/net.py

@@ -56,11 +56,15 @@ def __init__(self, sparse_feature_number, sparse_feature_dim,
         self.sparse_num_field = sparse_num_field
         self.init_value_ = 0.1
 
+        use_sparse = True
+        if paddle.is_compiled_with_npu():
+            use_sparse = False
+
         # sparse part coding
         self.embedding_one = paddle.nn.Embedding(
             sparse_feature_number,
             1,
-            sparse=True,
+            sparse=use_sparse,
             weight_attr=paddle.ParamAttr(
                 initializer=paddle.nn.initializer.TruncatedNormal(
                     mean=0.0,
@@ -70,7 +74,7 @@ def __init__(self, sparse_feature_number, sparse_feature_dim,
         self.embedding = paddle.nn.Embedding(
             self.sparse_feature_number,
             self.sparse_feature_dim,
-            sparse=True,
+            sparse=use_sparse,
             weight_attr=paddle.ParamAttr(
                 initializer=paddle.nn.initializer.TruncatedNormal(
                     mean=0.0,