From 9aa65bb1660db60417c7849ad4d08ca02ba1540a Mon Sep 17 00:00:00 2001 From: ZhenWang Date: Mon, 26 Nov 2018 16:26:23 +0800 Subject: [PATCH] add tab format. --- python/paddle/fluid/layers/nn.py | 30 +++++++++++++++--------------- 1 file changed, 15 insertions(+), 15 deletions(-) diff --git a/python/paddle/fluid/layers/nn.py b/python/paddle/fluid/layers/nn.py index 7b27a3f67b..2fd37b8fc7 100644 --- a/python/paddle/fluid/layers/nn.py +++ b/python/paddle/fluid/layers/nn.py @@ -6843,8 +6843,8 @@ def elu(x, alpha=1.0, name=None): .. code-block:: python - x = fluid.layers.data(name="x", shape=[3,10,32,32], dtype="float32") - y = fluid.layers.elu(x, alpha=0.2) + x = fluid.layers.data(name="x", shape=[3,10,32,32], dtype="float32") + y = fluid.layers.elu(x, alpha=0.2) """ helper = LayerHelper('elu', **locals()) out = helper.create_variable_for_type_inference(dtype=x.dtype) @@ -6873,8 +6873,8 @@ def relu6(x, threshold=6.0, name=None): .. code-block:: python - x = fluid.layers.data(name="x", shape=[3,10,32,32], dtype="float32") - y = fluid.layers.relu6(x, threshold=6.0) + x = fluid.layers.data(name="x", shape=[3,10,32,32], dtype="float32") + y = fluid.layers.relu6(x, threshold=6.0) """ helper = LayerHelper('relu6', **locals()) out = helper.create_variable_for_type_inference(dtype=x.dtype) @@ -6903,8 +6903,8 @@ def pow(x, factor=1.0, name=None): .. code-block:: python - x = fluid.layers.data(name="x", shape=[3,10,32,32], dtype="float32") - y = fluid.layers.pow(x, factor=2.0) + x = fluid.layers.data(name="x", shape=[3,10,32,32], dtype="float32") + y = fluid.layers.pow(x, factor=2.0) """ helper = LayerHelper('pow', **locals()) out = helper.create_variable_for_type_inference(dtype=x.dtype) @@ -6934,8 +6934,8 @@ def stanh(x, scale_a=2.0 / 3.0, scale_b=1.7159, name=None): .. code-block:: python - x = fluid.layers.data(name="x", shape=[3,10,32,32], dtype="float32") - y = fluid.layers.stanh(x, scale_a=0.6667, scale_b=1.7159) + x = fluid.layers.data(name="x", shape=[3,10,32,32], dtype="float32") + y = fluid.layers.stanh(x, scale_a=0.6667, scale_b=1.7159) """ helper = LayerHelper('stanh', **locals()) out = helper.create_variable_for_type_inference(dtype=x.dtype) @@ -6966,8 +6966,8 @@ def hard_sigmoid(x, slope=0.2, offset=0.5, name=None): .. code-block:: python - x = fluid.layers.data(name="x", shape=[3,10,32,32], dtype="float32") - y = fluid.layers.hard_sigmoid(x, slope=0.3, offset=0.8) + x = fluid.layers.data(name="x", shape=[3,10,32,32], dtype="float32") + y = fluid.layers.hard_sigmoid(x, slope=0.3, offset=0.8) """ helper = LayerHelper('hard_sigmoid', **locals()) out = helper.create_variable_for_type_inference(dtype=x.dtype) @@ -6997,8 +6997,8 @@ def swish(x, beta=1.0, name=None): .. code-block:: python - x = fluid.layers.data(name="x", shape=[3,10,32,32], dtype="float32") - y = fluid.layers.swish(x, beta=2.0) + x = fluid.layers.data(name="x", shape=[3,10,32,32], dtype="float32") + y = fluid.layers.swish(x, beta=2.0) """ helper = LayerHelper('swish', **locals()) out = helper.create_variable_for_type_inference(dtype=x.dtype) @@ -7034,9 +7034,9 @@ def prelu(x, mode, param_attr=None, name=None): .. code-block:: python - x = fluid.layers.data(name="x", shape=[10,10], dtype="float32") - mode = 'channel' - output = fluid.layers.prelu(x,mode) + x = fluid.layers.data(name="x", shape=[10,10], dtype="float32") + mode = 'channel' + output = fluid.layers.prelu(x,mode) """ helper = LayerHelper('prelu', **locals()) if mode not in ['all', 'channel', 'element']: -- GitLab