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modify some initializer api (#17301)

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* test=develop modify some initializer api

* test=develop modify API.spec

* test=develop modify API.spec

* test=develop modify API.spec

* test=develop modify API.spec
dependabot/pip/python/requests-2.20.0
AIFollowers 7 years ago committed by chengduo
parent d52391094d
commit 93de124cec
2 changed files with 39 additions and 27 deletions
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4
paddle/fluid/API.spec
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@ -68,8 +68,8 @@ paddle.fluid.initializer.TruncatedNormalInitializer.__init__ (ArgSpec(args=['sel
paddle.fluid.initializer.XavierInitializer.__init__ (ArgSpec(args=['self', 'uniform', 'fan_in', 'fan_out', 'seed'], varargs=None, keywords=None, defaults=(True, None, None, 0)), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.initializer.BilinearInitializer.__init__ (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', 'd389912dc079cbef432335a00017cec0'))
paddle.fluid.initializer.MSRAInitializer.__init__ (ArgSpec(args=['self', 'uniform', 'fan_in', 'seed'], varargs=None, keywords=None, defaults=(True, None, 0)), ('document', '53c757bed9345f2ad3361902531e7cf5'))
paddle.fluid.initializer.force_init_on_cpu (ArgSpec(args=[], varargs=None, keywords=None, defaults=None), ('document', '6d0f3e22c90d9d500d36ff57daf056ee'))
paddle.fluid.initializer.init_on_cpu (ArgSpec(args=[], varargs=None, keywords=None, defaults=None), ('document', 'a6d7011ca3d8c0d454dac3a56eae0c29'))
paddle.fluid.initializer.force_init_on_cpu (ArgSpec(args=[], varargs=None, keywords=None, defaults=None), ('document', '2c6748c1dd1d85f800462869ea7a747f'))
paddle.fluid.initializer.init_on_cpu (ArgSpec(args=[], varargs=None, keywords=None, defaults=None), ('document', '280b581f5a77e746e47decbc57a7b30a'))
paddle.fluid.initializer.NumpyArrayInitializer.__init__ (ArgSpec(args=['self', 'value'], varargs=None, keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.layers.fc (ArgSpec(args=['input', 'size', 'num_flatten_dims', 'param_attr', 'bias_attr', 'act', 'is_test', 'name'], varargs=None, keywords=None, defaults=(1, None, None, None, False, None)), ('document', '424e898365195e3ccbc2e7dc8b63605e'))
paddle.fluid.layers.embedding (ArgSpec(args=['input', 'size', 'is_sparse', 'is_distributed', 'padding_idx', 'param_attr', 'dtype'], varargs=None, keywords=None, defaults=(False, False, None, None, 'float32')), ('document', '6f9f96d2a1517cd1affebc960c3526f7'))

62
python/paddle/fluid/initializer.py
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@ -42,8 +42,9 @@ def force_init_on_cpu():
.. code-block:: python
if force_init_on_cpu():
create_op('force_cpu': force_init_on_cpu())
if fluid.initializer.force_init_on_cpu():
step = fluid.layers.create_global_var(
shape=[2,3], value=1.0, dtype='float32')
"""
return _force_init_on_cpu_
@ -57,8 +58,9 @@ def init_on_cpu():
Examples:
.. code-block:: python
with init_on_cpu():
step = layers.create_global_var()
with fluid.initializer.init_on_cpu():
step = fluid.layers.create_global_var(
shape=[2,3], value=1.0, dtype='float32')
"""
global _force_init_on_cpu_
@ -131,8 +133,10 @@ class ConstantInitializer(Initializer):
Examples:
.. code-block:: python
fc = fluid.layers.fc(input=x, size=10,
param_attr=fluid.initializer.Constant(value=2.0))
x = fluid.layers.data(name="data", shape=[32, 32], dtype="float32")
fc = fluid.layers.fc(input=x, size=10,
param_attr=fluid.initializer.Constant(value=2.0))
"""
def __init__(self, value=0.0, force_cpu=False):
@ -208,7 +212,7 @@ class UniformInitializer(Initializer):
import paddle.fluid as fluid
x = fluid.layers.data(name='x', shape=[1], dtype='float32')
fc = fluid.layers.fc(input=x, size=10,
param_attr=fluid.initializer.Uniform(low=-0.5, high=0.5))
param_attr=fluid.initializer.Uniform(low=-0.5, high=0.5))
"""
def __init__(self, low=-1.0, high=1.0, seed=0):
@ -288,8 +292,10 @@ class NormalInitializer(Initializer):
Examples:
.. code-block:: python
fc = fluid.layers.fc(input=x, size=10,
param_attr=fluid.initializer.Normal(loc=0.0, scale=2.0))
x = fluid.layers.data(name="data", shape=[32, 32], dtype="float32")
fc = fluid.layers.fc(input=x, size=10,
param_attr=fluid.initializer.Normal(loc=0.0, scale=2.0))
"""
def __init__(self, loc=0.0, scale=1.0, seed=0):
@ -601,10 +607,11 @@ class MSRAInitializer(Initializer):
Examples:
.. code-block:: python
x = fluid.layers.data(name="data", shape=[32, 32], dtype="float32")
fc = fluid.layers.fc(input=x, size=10,
param_attr=fluid.initializer.MSRA(uniform=False))
fc = fluid.layers.fc(
input=queries, size=10,
param_attr=fluid.initializer.MSRA(uniform=False))
"""
def __init__(self, uniform=True, fan_in=None, seed=0):
@ -703,19 +710,24 @@ class BilinearInitializer(Initializer):
.. code-block:: python
factor = 2
w_attr = ParamAttr(learning_rate=0., regularizer=L2Decay(0.),
initializer=Bilinear())
conv_up = fluid.layers.conv2d_transpose(
input,
num_filters=C,
output_size=None,
filter_size=2 * factor - factor % 2,
padding=ceil((factor - 1) / 2.),
stride=factor,
groups=C,
param_attr=w_attr,
bias_attr=False)
factor = 2
C = 2
w_attr = fluid.initializer.ParamAttr(
learning_rate=0.,
regularizer=fluid.regularizer.L2Decay(0.),
initializer=fluid.initializer.Bilinear())
x = fluid.layers.data(name="data", shape=[3, 32, 32],
dtype="float32")
conv_up = fluid.layers.conv2d_transpose(
input=x,
num_filters=C,
output_size=None,
filter_size=2 * factor - factor % 2,
padding=int(math.ceil((factor - 1) / 2.)),
stride=factor,
groups=C,
param_attr=w_attr,
bias_attr=False)
Where, `num_filters=C` and `groups=C` means this is channel-wise transposed
convolution. The filter shape will be (C, 1, K, K) where K is `filer_size`,

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