From 415460b557126e90a31eb6c848abddfdf3abacc1 Mon Sep 17 00:00:00 2001 From: JiayiFeng Date: Mon, 16 Apr 2018 10:54:37 +0000 Subject: [PATCH] stash --- .../tests/unittests/test_parallel_executor.py | 21 +++++++++---------- 1 file changed, 10 insertions(+), 11 deletions(-) diff --git a/python/paddle/fluid/tests/unittests/test_parallel_executor.py b/python/paddle/fluid/tests/unittests/test_parallel_executor.py index e311ebec3..42df00c3e 100644 --- a/python/paddle/fluid/tests/unittests/test_parallel_executor.py +++ b/python/paddle/fluid/tests/unittests/test_parallel_executor.py @@ -229,13 +229,13 @@ class TestParallelExecutorBase(unittest.TestCase): if batch_size is not None: batch_size *= fluid.core.get_cuda_device_count() begin = time.time() - first_loss, = exe.run([loss.name], feed_dict=feed_dict) + first_loss, = exe.run([loss.name], feed=feed_dict) first_loss = numpy.array(first_loss) for i in xrange(iter): - exe.run([], feed_dict=feed_dict) + exe.run([], feed=feed_dict) - last_loss, = exe.run([loss.name], feed_dict=feed_dict) + last_loss, = exe.run([loss.name], feed=feed_dict) end = time.time() if batch_size is not None: @@ -277,11 +277,10 @@ class TestMNIST(TestParallelExecutorBase): "label": label}) def test_simple_fc_parallel_accuracy(self): - single_first_loss, single_last_loss = self.check_network_convergence( - simple_fc_net, seed=0, use_parallel_executor=False) - parallel_first_loss, parallel_last_loss = self.check_network_convergence( - simple_fc_net, seed=0, use_parallel_executor=True) - print("FUCK") + #single_first_loss, single_last_loss = self.check_network_convergence( + # simple_fc_net, seed=0, use_parallel_executor=False) + #parallel_first_loss, parallel_last_loss = self.check_network_convergence( + # simple_fc_net, seed=0, use_parallel_executor=True) print('single_first_loss=', single_first_loss) print('single_last_loss=', single_last_loss) print('parallel_first_loss=', parallel_first_loss) @@ -515,10 +514,10 @@ class ParallelExecutorTestingDuringTraining(unittest.TestCase): share_vars_from=train_exe) for i in xrange(5): - test_loss, = test_exe.run([loss.name], feed_dict=feed_dict) + test_loss, = test_exe.run([loss.name], feed=feed_dict) test_loss = numpy.array(test_loss) - train_loss, = train_exe.run([loss.name], feed_dict=feed_dict) + train_loss, = train_exe.run([loss.name], feed=feed_dict) train_loss = numpy.array(train_loss) self.assertTrue( numpy.allclose( @@ -668,5 +667,5 @@ class TestCRFModel(unittest.TestCase): for i in xrange(10): cur_batch = next(data) print map(numpy.array, - pe.run(feed_dict=feeder.feed(cur_batch), + pe.run(feed=feeder.feed(cur_batch), fetch_list=[avg_cost.name]))[0] -- GitLab