From dd04b160d9492969715f3dc5caff5e73ab321b27 Mon Sep 17 00:00:00 2001 From: Chen Weihang Date: Fri, 25 Sep 2020 11:32:28 +0800 Subject: [PATCH] fix test imperative se resnext failed (#27538) --- .../unittests/test_imperative_se_resnext.py | 25 +++++++++++++++---- 1 file changed, 20 insertions(+), 5 deletions(-) diff --git a/python/paddle/fluid/tests/unittests/test_imperative_se_resnext.py b/python/paddle/fluid/tests/unittests/test_imperative_se_resnext.py index a04e1e4e5aa..e47a70054be 100644 --- a/python/paddle/fluid/tests/unittests/test_imperative_se_resnext.py +++ b/python/paddle/fluid/tests/unittests/test_imperative_se_resnext.py @@ -25,6 +25,9 @@ from paddle.fluid.dygraph.nn import Conv2D, Pool2D, BatchNorm, Linear from paddle.fluid.dygraph.base import to_variable from test_imperative_base import new_program_scope +if fluid.is_compiled_with_cuda(): + fluid.set_flags({'FLAGS_cudnn_deterministic': True}) + batch_size = 8 train_parameters = { "input_size": [3, 224, 224], @@ -340,7 +343,9 @@ class TestImperativeResneXt(unittest.TestCase): label.stop_gradient = True out = se_resnext(img) - loss = fluid.layers.cross_entropy(input=out, label=label) + softmax_out = fluid.layers.softmax(out, use_cudnn=False) + loss = fluid.layers.cross_entropy( + input=softmax_out, label=label) avg_loss = fluid.layers.mean(x=loss) dy_out = avg_loss.numpy() @@ -386,7 +391,8 @@ class TestImperativeResneXt(unittest.TestCase): name='pixel', shape=[3, 224, 224], dtype='float32') label = fluid.layers.data(name='label', shape=[1], dtype='int64') out = se_resnext(img) - loss = fluid.layers.cross_entropy(input=out, label=label) + softmax_out = fluid.layers.softmax(out, use_cudnn=False) + loss = fluid.layers.cross_entropy(input=softmax_out, label=label) avg_loss = fluid.layers.mean(x=loss) optimizer.minimize(avg_loss) @@ -443,7 +449,9 @@ class TestImperativeResneXt(unittest.TestCase): static_grad_value[static_grad_name_list[ i - grad_start_pos]] = out[i] - self.assertTrue(np.allclose(static_out, dy_out)) + self.assertTrue( + np.allclose(static_out, dy_out), + "\nstatic_out: {}\ndy_out: {}".format(static_out, dy_out)) self.assertEqual(len(dy_param_init_value), len(static_param_init_value)) @@ -455,16 +463,23 @@ class TestImperativeResneXt(unittest.TestCase): self.assertEqual(len(dy_grad_value), len(static_grad_value)) for key, value in six.iteritems(static_grad_value): - self.assertTrue(np.allclose(value, dy_grad_value[key])) + self.assertTrue( + np.allclose(value, dy_grad_value[key]), + "\nstatic_grad_value: {}\ndy_grad_value: {}".format( + value, dy_grad_value[key])) self.assertTrue(np.isfinite(value.all())) self.assertFalse(np.isnan(value.any())) self.assertEqual(len(dy_param_value), len(static_param_value)) for key, value in six.iteritems(static_param_value): - self.assertTrue(np.allclose(value, dy_param_value[key])) + self.assertTrue( + np.allclose(value, dy_param_value[key]), + "\nstatic_param_value: {}\ndy_param_value: {}".format( + value, dy_param_value[key])) self.assertTrue(np.isfinite(value.all())) self.assertFalse(np.isnan(value.any())) if __name__ == '__main__': + paddle.enable_static() unittest.main() -- GitLab