From 11aa5edd4a32d16cbe47d2457627e4698047227d Mon Sep 17 00:00:00 2001 From: co63oc Date: Tue, 23 May 2023 15:11:19 +0800 Subject: [PATCH] Fix typos (#54011) --- python/paddle/fluid/tests/unittests/dist_ctr.py | 4 ++-- python/paddle/fluid/tests/unittests/dist_fleet_ctr.py | 4 ++-- .../fluid/tests/unittests/dist_fleet_heter_pipeline_ctr.py | 4 ++-- .../fluid/tests/unittests/dist_fleet_sparse_embedding_ctr.py | 4 ++-- .../paddle/fluid/tests/unittests/fleet_heter_ps_training.py | 4 ++-- .../tests/unittests/test_dist_fleet_sparse_embedding_ctr.py | 4 ++-- 6 files changed, 12 insertions(+), 12 deletions(-) diff --git a/python/paddle/fluid/tests/unittests/dist_ctr.py b/python/paddle/fluid/tests/unittests/dist_ctr.py index da3bfc796e8..1ef7f42112f 100644 --- a/python/paddle/fluid/tests/unittests/dist_ctr.py +++ b/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) diff --git a/python/paddle/fluid/tests/unittests/dist_fleet_ctr.py b/python/paddle/fluid/tests/unittests/dist_fleet_ctr.py index c290dbff3a5..76b246a0987 100644 --- a/python/paddle/fluid/tests/unittests/dist_fleet_ctr.py +++ b/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) diff --git a/python/paddle/fluid/tests/unittests/dist_fleet_heter_pipeline_ctr.py b/python/paddle/fluid/tests/unittests/dist_fleet_heter_pipeline_ctr.py index a5010e275aa..8873c9304bd 100644 --- a/python/paddle/fluid/tests/unittests/dist_fleet_heter_pipeline_ctr.py +++ b/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"): diff --git a/python/paddle/fluid/tests/unittests/dist_fleet_sparse_embedding_ctr.py b/python/paddle/fluid/tests/unittests/dist_fleet_sparse_embedding_ctr.py index 4af7d288512..922a458b5d9 100644 --- a/python/paddle/fluid/tests/unittests/dist_fleet_sparse_embedding_ctr.py +++ b/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) diff --git a/python/paddle/fluid/tests/unittests/fleet_heter_ps_training.py b/python/paddle/fluid/tests/unittests/fleet_heter_ps_training.py index c871f8e1883..aec4634fbed 100644 --- a/python/paddle/fluid/tests/unittests/fleet_heter_ps_training.py +++ b/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"): diff --git a/python/paddle/fluid/tests/unittests/test_dist_fleet_sparse_embedding_ctr.py b/python/paddle/fluid/tests/unittests/test_dist_fleet_sparse_embedding_ctr.py index 338b7c05665..1995df11a09 100644 --- a/python/paddle/fluid/tests/unittests/test_dist_fleet_sparse_embedding_ctr.py +++ b/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( -- GitLab