From ed748dae66d7094a2b619732fc334926ed44edac Mon Sep 17 00:00:00 2001 From: dzhwinter Date: Wed, 16 May 2018 16:22:57 +0800 Subject: [PATCH] "fix dtype test in ci" (#10667) * "fix ci" * "fix network config" * "rerun ci" --- .../unittests/test_network_with_dtype.py | 35 ++++++++----------- 1 file changed, 15 insertions(+), 20 deletions(-) diff --git a/python/paddle/fluid/tests/unittests/test_network_with_dtype.py b/python/paddle/fluid/tests/unittests/test_network_with_dtype.py index fe8aceb3ae..d4835dd184 100644 --- a/python/paddle/fluid/tests/unittests/test_network_with_dtype.py +++ b/python/paddle/fluid/tests/unittests/test_network_with_dtype.py @@ -24,33 +24,30 @@ BATCH_SIZE = 20 class TestNetWithDtype(unittest.TestCase): - def set_network(self): + def setUp(self): self.dtype = "float64" self.init_dtype() - main = fluid.Program() - with fluid.program_guard(main): - self.x = fluid.layers.data(name='x', shape=[13], dtype=self.dtype) - self.y = fluid.layers.data(name='y', shape=[1], dtype=self.dtype) - y_predict = fluid.layers.fc(input=self.x, size=1, act=None) - cost = fluid.layers.square_error_cost(input=y_predict, label=self.y) + def run_net_on_place(self, place): + main = fluid.Program() + startup = fluid.Program() + with fluid.program_guard(main, startup): + x = fluid.layers.data(name='x', shape=[13], dtype=self.dtype) + y = fluid.layers.data(name='y', shape=[1], dtype=self.dtype) + y_predict = fluid.layers.fc(input=x, size=1, act=None) + cost = fluid.layers.square_error_cost(input=y_predict, label=y) avg_cost = fluid.layers.mean(cost) - self.program = main - self.fetch_list = [avg_cost] + sgd_optimizer = fluid.optimizer.SGD(learning_rate=0.001) + sgd_optimizer.minimize(avg_cost) - sgd_optimizer = fluid.optimizer.SGD(learning_rate=0.001) - sgd_optimizer.minimize(avg_cost) - - def run_net_on_place(self, place): + fetch_list = [avg_cost] train_reader = paddle.batch( paddle.dataset.uci_housing.train(), batch_size=BATCH_SIZE) - feeder = fluid.DataFeeder(place=place, feed_list=[self.x, self.y]) + feeder = fluid.DataFeeder(place=place, feed_list=[x, y]) exe = fluid.Executor(place) - exe.run(fluid.default_startup_program()) + exe.run(startup) for data in train_reader(): - exe.run(self.program, - feed=feeder.feed(data), - fetch_list=self.fetch_list) + exe.run(main, feed=feeder.feed(data), fetch_list=fetch_list) # the main program is runable, the datatype is fully supported break @@ -58,14 +55,12 @@ class TestNetWithDtype(unittest.TestCase): pass def test_cpu(self): - self.set_network() place = fluid.CPUPlace() self.run_net_on_place(place) def test_gpu(self): if not core.is_compiled_with_cuda(): return - self.set_network() place = fluid.CUDAPlace(0) self.run_net_on_place(place) -- GitLab