From 0fdd3656654d7b326e7ac0c08893bac1ab10edde Mon Sep 17 00:00:00 2001 From: Leo Chen Date: Fri, 11 Dec 2020 10:45:14 +0800 Subject: [PATCH] Add fast path for dropout when p == 0 (#29553) * add fast path for p == 0 in dropout * add ut --- python/paddle/fluid/dygraph/nn.py | 3 +++ python/paddle/fluid/layers/nn.py | 3 +++ .../paddle/fluid/tests/unittests/test_dropout_op.py | 11 +++++++++-- python/paddle/nn/functional/common.py | 4 ++++ 4 files changed, 19 insertions(+), 2 deletions(-) diff --git a/python/paddle/fluid/dygraph/nn.py b/python/paddle/fluid/dygraph/nn.py index fd2a1e70e2c..74ee233612b 100644 --- a/python/paddle/fluid/dygraph/nn.py +++ b/python/paddle/fluid/dygraph/nn.py @@ -1476,6 +1476,9 @@ class Dropout(layers.Layer): self._is_test = is_test def forward(self, input): + # fast return for p == 0 + if self._dropout_prob == 0: + return input prog = default_main_program() if (self._seed is None or self._seed == 0) and prog.random_seed != 0: self._seed = prog.random_seed diff --git a/python/paddle/fluid/layers/nn.py b/python/paddle/fluid/layers/nn.py index b3906bfe306..6c6820d52be 100755 --- a/python/paddle/fluid/layers/nn.py +++ b/python/paddle/fluid/layers/nn.py @@ -1007,6 +1007,9 @@ def dropout(x, x = fluid.data(name="data", shape=[None, 32, 32], dtype="float32") dropped = fluid.layers.dropout(x, dropout_prob=0.5) """ + # fast return for p == 0 + if dropout_prob == 0: + return x def get_attrs(prog, dropout_prob, is_test, seed): if (seed is None or seed == 0) and prog.random_seed != 0: diff --git a/python/paddle/fluid/tests/unittests/test_dropout_op.py b/python/paddle/fluid/tests/unittests/test_dropout_op.py index 0d0273c1670..ba2abd72500 100644 --- a/python/paddle/fluid/tests/unittests/test_dropout_op.py +++ b/python/paddle/fluid/tests/unittests/test_dropout_op.py @@ -302,13 +302,16 @@ class TestDropoutFAPI(unittest.TestCase): training=False, mode='downscale_in_infer') res10 = paddle.nn.functional.dropout(x=input, p=1., training=True) + res11 = paddle.fluid.layers.dropout(x=input, dropout_prob=0.) in_np = np.random.random([40, 40]).astype("float32") res_np = in_np res_np2 = np.zeros_like(in_np) exe = fluid.Executor(place) - res_list = [res1, res2, res3, res4, res5, res6, res7, res8, res9] + res_list = [ + res1, res2, res3, res4, res5, res6, res7, res8, res9, res11 + ] for res in res_list: fetches = exe.run(fluid.default_main_program(), feed={"input": in_np}, @@ -383,8 +386,12 @@ class TestDropoutFAPI(unittest.TestCase): mode='downscale_in_infer') res10 = paddle.nn.functional.dropout( x=input, p=1., training=True) + dropout = paddle.fluid.dygraph.Dropout(p=0, ) + res11 = dropout(input) - res_list = [res1, res2, res3, res4, res5, res6, res7, res8, res9] + res_list = [ + res1, res2, res3, res4, res5, res6, res7, res8, res9, res11 + ] for res in res_list: self.assertTrue(np.allclose(res.numpy(), res_np)) self.assertTrue(np.allclose(res10.numpy(), res_np2)) diff --git a/python/paddle/nn/functional/common.py b/python/paddle/nn/functional/common.py index b3bdf1e95cc..7319b860db8 100644 --- a/python/paddle/nn/functional/common.py +++ b/python/paddle/nn/functional/common.py @@ -887,6 +887,10 @@ def dropout(x, print(y_01) """ + # fast return for p == 0 + if p == 0: + return x + if not isinstance(p, (float, int)): raise TypeError("p argument should be a number") if p < 0 or p > 1: -- GitLab