From ae90249d41585e8db62f14c7d8caf44418418702 Mon Sep 17 00:00:00 2001 From: seiriosPlus Date: Mon, 31 Aug 2020 17:20:22 +0800 Subject: [PATCH] bug fix --- .../paddle/fluid/tests/unittests/test_communicator_async.py | 6 +++--- .../paddle/fluid/tests/unittests/test_communicator_sync.py | 6 +++--- 2 files changed, 6 insertions(+), 6 deletions(-) diff --git a/python/paddle/fluid/tests/unittests/test_communicator_async.py b/python/paddle/fluid/tests/unittests/test_communicator_async.py index d032d6d75b5..a1f781bacee 100644 --- a/python/paddle/fluid/tests/unittests/test_communicator_async.py +++ b/python/paddle/fluid/tests/unittests/test_communicator_async.py @@ -30,11 +30,11 @@ from paddle.fluid.incubate.fleet.parameter_server.distribute_transpiler.distribu class TestCommunicator(unittest.TestCase): def net(self): - x = fluid.layers.data(name='x', shape=[13], dtype='float32') - y_predict = fluid.layers.fc(input=x, size=1, act=None) + x = fluid.layers.data(name='x', shape=[1], dtype='float32') + # y_predict = fluid.layers.fc(input=x, size=1, act=None) y = fluid.layers.data(name='y', shape=[1], dtype='float32') - cost = fluid.layers.square_error_cost(input=y_predict, label=y) + cost = fluid.layers.square_error_cost(input=x, label=y) avg_cost = fluid.layers.mean(cost) return avg_cost diff --git a/python/paddle/fluid/tests/unittests/test_communicator_sync.py b/python/paddle/fluid/tests/unittests/test_communicator_sync.py index c0044d9d620..fb67409a1e8 100644 --- a/python/paddle/fluid/tests/unittests/test_communicator_sync.py +++ b/python/paddle/fluid/tests/unittests/test_communicator_sync.py @@ -27,11 +27,11 @@ import paddle.distributed.fleet as fleet class TestCommunicator(unittest.TestCase): def net(self): - x = fluid.layers.data(name='x', shape=[13], dtype='float32') - y_predict = fluid.layers.fc(input=x, size=1, act=None) + x = fluid.layers.data(name='x', shape=[1], dtype='float32') + # y_predict = fluid.layers.fc(input=x, size=1, act=None) y = fluid.layers.data(name='y', shape=[1], dtype='float32') - cost = fluid.layers.square_error_cost(input=y_predict, label=y) + cost = fluid.layers.square_error_cost(input=x, label=y) avg_cost = fluid.layers.mean(cost) return avg_cost -- GitLab