From 839193fd1fb9441e5928973458e0af92924663ce Mon Sep 17 00:00:00 2001 From: Qiao Longfei Date: Thu, 29 Nov 2018 17:30:37 +0800 Subject: [PATCH] fix unit test test=develop --- .../paddle/fluid/tests/unittests/dist_ctr.py | 6 ++--- .../tests/unittests/test_dist_transpiler.py | 24 +++++++------------ 2 files changed, 10 insertions(+), 20 deletions(-) diff --git a/python/paddle/fluid/tests/unittests/dist_ctr.py b/python/paddle/fluid/tests/unittests/dist_ctr.py index d7ddafdb17b..65969824338 100644 --- a/python/paddle/fluid/tests/unittests/dist_ctr.py +++ b/python/paddle/fluid/tests/unittests/dist_ctr.py @@ -61,8 +61,7 @@ class TestDistCTR2x2(TestDistRunnerBase): param_attr=fluid.ParamAttr( name="deep_embedding", initializer=fluid.initializer.Constant(value=0.01)), - is_sparse=IS_SPARSE, - remote_prefetch=True) + is_sparse=IS_SPARSE) dnn_pool = fluid.layers.sequence_pool( input=dnn_embedding, pool_type="sum") dnn_out = dnn_pool @@ -84,8 +83,7 @@ class TestDistCTR2x2(TestDistRunnerBase): param_attr=fluid.ParamAttr( name="wide_embedding", initializer=fluid.initializer.Constant(value=0.01)), - is_sparse=IS_SPARSE, - remote_prefetch=True) + is_sparse=IS_SPARSE) lr_pool = fluid.layers.sequence_pool(input=lr_embbding, pool_type="sum") merge_layer = fluid.layers.concat(input=[dnn_out, lr_pool], axis=1) diff --git a/python/paddle/fluid/tests/unittests/test_dist_transpiler.py b/python/paddle/fluid/tests/unittests/test_dist_transpiler.py index 26c596ba540..194387bc987 100644 --- a/python/paddle/fluid/tests/unittests/test_dist_transpiler.py +++ b/python/paddle/fluid/tests/unittests/test_dist_transpiler.py @@ -447,23 +447,19 @@ class TestEmptyPserverOptimizeBlocks(TranspilerTest): class TestDistLookupTableBase(TranspilerTest): - def network_with_table(self, - is_sparse, - is_distributed, - remote_prefetch=False): + def network_with_table(self, is_sparse, is_distributed): self.table_size = 1000 self.emb_size = 64 self.lookup_table_name = 'shared_w' - def emb_pool(ids, table_name, is_distributed, remote_prefetch): + def emb_pool(ids, table_name, is_distributed): emb = fluid.layers.embedding( input=ids, size=[self.table_size, self.emb_size], dtype='float32', param_attr=table_name, is_sparse=is_sparse, - is_distributed=is_distributed, - remote_prefetch=remote_prefetch) + is_distributed=is_distributed) pool = fluid.layers.sequence_pool(input=emb, pool_type='average') return pool @@ -473,12 +469,9 @@ class TestDistLookupTableBase(TranspilerTest): name='brand_ids', shape=[1], dtype='int64', lod_level=1) profile_ids = fluid.layers.data( name='brand_ids', shape=[1], dtype='int64', lod_level=1) - title_emb = emb_pool(title_ids, self.lookup_table_name, is_distributed, - False) - brand_emb = emb_pool(brand_ids, self.lookup_table_name, is_distributed, - False) - profile_emb = emb_pool(profile_ids, "profile_emb", False, - remote_prefetch) + title_emb = emb_pool(title_ids, self.lookup_table_name, is_distributed) + brand_emb = emb_pool(brand_ids, self.lookup_table_name, is_distributed) + profile_emb = emb_pool(profile_ids, "profile_emb", False) fc0 = fluid.layers.concat( input=[title_emb, brand_emb, profile_emb], axis=1) predict = fluid.layers.fc(input=fc0, @@ -794,8 +787,7 @@ class TestRemoteLookupTable(TestDistLookupTableBase): def net_conf(self): import os os.environ['PADDLE_ENABLE_REMOTE_PREFETCH'] = "1" - self.network_with_table( - is_sparse=True, is_distributed=False, remote_prefetch=True) + self.network_with_table(is_sparse=True, is_distributed=False) def transpiler_test_impl(self): pserver1, startup1 = self.get_pserver(self.pserver1_ep) @@ -826,7 +818,7 @@ class TestRemoteLookupTable(TestDistLookupTableBase): 'split_selected_rows', 'send', 'sequence_pool_grad', 'lookup_table_grad', 'sequence_pool_grad', 'lookup_table_grad', 'sum', 'split_selected_rows', 'send', 'send_barrier', 'recv', - 'recv', 'recv', 'fetch_barrier', 'concat' + 'recv', 'fetch_barrier' ] self.assertEqual([op.type for op in trainer.blocks[0].ops], ops) -- GitLab