Fix typos (#54011)

python/paddle/fluid/tests/unittests/dist_ctr.py

@@ -81,7 +81,7 @@ class TestDistCTR2x2(TestDistRunnerBase):
             dnn_out = fc
 
         # build lr model
-        lr_embbding = fluid.layers.embedding(
+        lr_embedding = fluid.layers.embedding(
             is_distributed=False,
             input=lr_data,
             size=[lr_input_dim, 1],
@@ -92,7 +92,7 @@ class TestDistCTR2x2(TestDistRunnerBase):
             is_sparse=IS_SPARSE,
         )
         lr_pool = paddle.static.nn.sequence_lod.sequence_pool(
-            input=lr_embbding, pool_type="sum"
+            input=lr_embedding, pool_type="sum"
         )
 
         merge_layer = paddle.concat([dnn_out, lr_pool], axis=1)

python/paddle/fluid/tests/unittests/dist_fleet_ctr.py

@@ -129,7 +129,7 @@ class TestDistCTR2x2(FleetDistRunnerBase):
             dnn_out = fc
 
         # build lr model
-        lr_embbding = fluid.layers.embedding(
+        lr_embedding = fluid.layers.embedding(
             is_distributed=False,
             input=lr_data,
             size=[lr_input_dim, 1],
@@ -141,7 +141,7 @@ class TestDistCTR2x2(FleetDistRunnerBase):
             padding_idx=0,
         )
         lr_pool = paddle.static.nn.sequence_lod.sequence_pool(
-            input=lr_embbding, pool_type="sum"
+            input=lr_embedding, pool_type="sum"
         )
 
         merge_layer = paddle.concat([dnn_out, lr_pool], axis=1)

python/paddle/fluid/tests/unittests/dist_fleet_heter_pipeline_ctr.py

@@ -88,7 +88,7 @@ class TestHeterPipelinePsCTR2x2(FleetDistHeterRunnerBase):
             dnn_out = dnn_pool
 
             # build lr model
-            lr_embbding = fluid.layers.embedding(
+            lr_embedding = fluid.layers.embedding(
                 is_distributed=False,
                 input=lr_data,
                 size=[lr_input_dim, 1],
@@ -99,7 +99,7 @@ class TestHeterPipelinePsCTR2x2(FleetDistHeterRunnerBase):
                 is_sparse=True,
             )
             lr_pool = paddle.static.nn.sequence_lod.sequence_pool(
-                input=lr_embbding, pool_type="sum"
+                input=lr_embedding, pool_type="sum"
             )
 
         with fluid.device_guard("gpu"):

python/paddle/fluid/tests/unittests/dist_fleet_sparse_embedding_ctr.py

@@ -120,7 +120,7 @@ class TestDistCTR2x2(FleetDistRunnerBase):
             dnn_out = fc
 
         # build lr model
-        lr_embbding = paddle.static.nn.sparse_embedding(
+        lr_embedding = paddle.static.nn.sparse_embedding(
             input=lr_data,
             size=[lr_input_dim, 1],
             is_test=inference,
@@ -132,7 +132,7 @@ class TestDistCTR2x2(FleetDistRunnerBase):
         )
 
         lr_pool = paddle.static.nn.sequence_lod.sequence_pool(
-            input=lr_embbding, pool_type="sum"
+            input=lr_embedding, pool_type="sum"
         )
         merge_layer = paddle.concat([dnn_out, lr_pool], axis=1)
 

python/paddle/fluid/tests/unittests/fleet_heter_ps_training.py

@@ -80,7 +80,7 @@ def net(batch_size=4, lr=0.01):
         dnn_out = dnn_pool
 
         # build lr model
-        lr_embbding = fluid.layers.embedding(
+        lr_embedding = fluid.layers.embedding(
             is_distributed=False,
             input=lr_data,
             size=[lr_input_dim, 1],
@@ -91,7 +91,7 @@ def net(batch_size=4, lr=0.01):
             is_sparse=True,
         )
         lr_pool = paddle.static.nn.sequence_lod.sequence_pool(
-            input=lr_embbding, pool_type="sum"
+            input=lr_embedding, pool_type="sum"
         )
 
     with fluid.device_guard("gpu"):

python/paddle/fluid/tests/unittests/test_dist_fleet_sparse_embedding_ctr.py

@@ -239,7 +239,7 @@ class TestDistMnistAsync2x2WithGauss(TestFleetBase):
                 dnn_out = fc
 
             # build lr model
-            lr_embbding = paddle.static.nn.sparse_embedding(
+            lr_embedding = paddle.static.nn.sparse_embedding(
                 input=lr_data,
                 size=[lr_input_dim, 1],
                 is_test=inference,
@@ -250,7 +250,7 @@ class TestDistMnistAsync2x2WithGauss(TestFleetBase):
             )
 
             lr_pool = paddle.static.nn.sequence_lod.sequence_pool(
-                input=lr_embbding, pool_type="sum"
+                input=lr_embedding, pool_type="sum"
             )
             merge_layer = paddle.concat([dnn_out, lr_pool], axis=1)
             predict = paddle.static.nn.fc(