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未验证 提交 f12c943a 编写于 作者: F Feiyu Chan 提交者： GitHub
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import sequence_* API to new namespace (#32089) 

* import sequence_* API to new namespace

* fix typos, remove alias marking

* update sample code

* fix sample code

* fix docstring for sequence_mask
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Showing with 136 addition and 75 deletion
python/paddle/fluid/layers/sequence_lod.py
浏览文件 @ f12c943a
......@@ -139,10 +139,11 @@ def sequence_conv(input,
.. code-block:: python
import paddle.fluid as fluid
import paddle
paddle.enable_static()
x = fluid.data(name='x', shape=[-1, 10], dtype='float32', lod_level=1)
x_conved = fluid.layers.sequence_conv(input=x, num_filters=2, filter_size=3, padding_start=-1)
x = paddle.static.data(name='x', shape=[-1, 10], dtype='float32', lod_level=1)
x_conved = paddle.static.nn.sequence_conv(input=x, num_filters=2, filter_size=3, padding_start=-1)
"""
assert not in_dygraph_mode(), (
......@@ -233,15 +234,17 @@ def sequence_softmax(input, use_cudnn=False, name=None):
Examples:
.. code-block:: python
import paddle.fluid as fluid
x = fluid.data(name='x', shape=[7, 1],
import paddle
paddle.enable_static()
x = paddle.static.data(name='x', shape=[7, 1],
dtype='float32', lod_level=1)
x_sequence_softmax_1 = fluid.layers.sequence_softmax(input=x)
x_sequence_softmax_1 = paddle.static.nn.sequence_softmax(input=x)
y = fluid.data(name='y', shape=[7],
y = paddle.static.data(name='y', shape=[7],
dtype='float32', lod_level=1)
x_sequence_softmax_2 = fluid.layers.sequence_softmax(input=y)
x_sequence_softmax_2 = paddle.static.nn.sequence_softmax(input=y)
"""
assert not in_dygraph_mode(), (
"sequence layer is not supported in dygraph mode yet.")
......@@ -334,15 +337,16 @@ def sequence_pool(input, pool_type, is_test=False, pad_value=0.0):
.. code-block:: python
import paddle.fluid as fluid
import paddle
paddle.enable_static()
x = fluid.data(name='x', shape=[None, 10], dtype='float32', lod_level=1)
avg_x = fluid.layers.sequence_pool(input=x, pool_type='average')
sum_x = fluid.layers.sequence_pool(input=x, pool_type='sum')
sqrt_x = fluid.layers.sequence_pool(input=x, pool_type='sqrt')
max_x = fluid.layers.sequence_pool(input=x, pool_type='max')
last_x = fluid.layers.sequence_pool(input=x, pool_type='last')
first_x = fluid.layers.sequence_pool(input=x, pool_type='first')
x = paddle.static.data(name='x', shape=[None, 10], dtype='float32', lod_level=1)
avg_x = paddle.static.nn.sequence_pool(input=x, pool_type='average')
sum_x = paddle.static.nn.sequence_pool(input=x, pool_type='sum')
sqrt_x = paddle.static.nn.sequence_pool(input=x, pool_type='sqrt')
max_x = paddle.static.nn.sequence_pool(input=x, pool_type='max')
last_x = paddle.static.nn.sequence_pool(input=x, pool_type='last')
first_x = paddle.static.nn.sequence_pool(input=x, pool_type='first')
"""
assert not in_dygraph_mode(), (
"sequence layer is not supported in dygraph mode yet.")
......@@ -413,10 +417,12 @@ def sequence_concat(input, name=None):
Examples:
.. code-block:: python
import paddle.fluid as fluid
x = fluid.data(name='x', shape=[-1, 10], dtype='float32', lod_level=1)
y = fluid.data(name='y', shape=[-1, 10], dtype='float32', lod_level=1)
out = fluid.layers.sequence_concat(input=[x, y])
import paddle
paddle.enable_static()
x = paddle.static.data(name='x', shape=[-1, 10], dtype='float32', lod_level=1)
y = paddle.static.data(name='y', shape=[-1, 10], dtype='float32', lod_level=1)
out = paddle.static.nn.sequence_concat(input=[x, y])
"""
assert not in_dygraph_mode(), (
"sequence layer is not supported in dygraph mode yet.")
......@@ -481,9 +487,11 @@ def sequence_first_step(input):
.. code-block:: python
import paddle.fluid as fluid
x = fluid.data(name='x', shape=[None, 10], dtype='float32', lod_level=1)
x_first_step = fluid.layers.sequence_first_step(input=x)
import paddle
paddle.enable_static()
x = paddle.static.data(name='x', shape=[None, 10], dtype='float32', lod_level=1)
x_first_step = paddle.static.nn.sequence_first_step(input=x)
"""
check_variable_and_dtype(input, 'input', ['float32', 'float64'],
'sequence_first_step')
......@@ -538,9 +546,11 @@ def sequence_last_step(input):
.. code-block:: python
import paddle.fluid as fluid
x = fluid.data(name='x', shape=[None, 10], dtype='float32', lod_level=1)
x_last_step = fluid.layers.sequence_last_step(input=x)
import paddle
paddle.enable_static()
x = paddle.static.data(name='x', shape=[None, 10], dtype='float32', lod_level=1)
x_last_step = paddle.static.nn.sequence_last_step(input=x)
"""
check_variable_and_dtype(input, 'input', ['float32', 'float64'],
'sequence_last_step')
......@@ -598,13 +608,15 @@ def sequence_slice(input, offset, length, name=None):
.. code-block:: python
import paddle.fluid as fluid
import paddle
paddle.enable_static()
import numpy as np
seqs = fluid.data(name='x', shape=[10, 5],
seqs = paddle.static.data(name='x', shape=[10, 5],
dtype='float32', lod_level=1)
offset = fluid.layers.assign(input=np.array([[0, 1]]).astype("int32"))
length = fluid.layers.assign(input=np.array([[2, 1]]).astype("int32"))
subseqs = fluid.layers.sequence_slice(input=seqs, offset=offset,
offset = paddle.assign(np.array([[0, 1]]).astype("int32"))
length = paddle.assign(np.array([[2, 1]]).astype("int32"))
subseqs = paddle.static.nn.sequence_slice(input=seqs, offset=offset,
length=length)
"""
assert not in_dygraph_mode(), (
......@@ -715,17 +727,18 @@ def sequence_expand(x, y, ref_level=-1, name=None):
Examples:
.. code-block:: python
import paddle.fluid as fluid
import paddle.fluid.layers as layers
import paddle
from paddle import fluid
paddle.enable_static()
import numpy as np
x = fluid.data(name='x', shape=[4, 1], dtype='float32')
y = fluid.data(name='y', shape=[8, 1],
x = paddle.static.data(name='x', shape=[4, 1], dtype='float32')
y = paddle.static.data(name='y', shape=[8, 1],
dtype='float32', lod_level=1)
out = layers.sequence_expand(x=x, y=y, ref_level=0)
out = paddle.static.nn.sequence_expand(x=x, y=y, ref_level=0)
exe = fluid.Executor(fluid.CPUPlace())
place = fluid.CPUPlace()
exe = paddle.static.Executor(fluid.CPUPlace())
place = paddle.CPUPlace()
np_data = np.array([[1], [2], [3], [4]]).astype('float32')
x_lod_tensor = fluid.create_lod_tensor(np_data, [[2, 2]], place)
......@@ -836,13 +849,14 @@ def sequence_expand_as(x, y, name=None):
Examples:
.. code-block:: python
import paddle
import paddle.fluid as fluid
import paddle.fluid.layers as layers
paddle.enable_static()
import numpy as np
x = fluid.data(name='x', shape=[4, 1], dtype='float32')
y = fluid.data(name='y', shape=[8, 1], dtype='float32', lod_level=1)
out = layers.sequence_expand_as(x=x, y=y)
x = paddle.static.data(name='x', shape=[4, 1], dtype='float32')
y = paddle.static.data(name='y', shape=[8, 1], dtype='float32', lod_level=1)
out = paddle.static.nn.sequence_expand_as(x=x, y=y)
exe = fluid.Executor(fluid.CPUPlace())
place = fluid.CPUPlace()
......@@ -969,13 +983,15 @@ def sequence_pad(x, pad_value, maxlen=None, name=None):
Examples:
.. code-block:: python
import paddle
paddle.enable_static()
import paddle.fluid as fluid
import numpy
x = fluid.data(name='x', shape=[10, 5], dtype='float32', lod_level=1)
pad_value = fluid.layers.assign(
input=numpy.array([0.0], dtype=numpy.float32))
out = fluid.layers.sequence_pad(x=x, pad_value=pad_value)
x = paddle.static.data(name='x', shape=[10, 5], dtype='float32', lod_level=1)
pad_value = paddle.assign(
numpy.array([0.0], dtype=numpy.float32))
out = paddle.static.nn.sequence_pad(x=x, pad_value=pad_value)
"""
assert not in_dygraph_mode(), (
......@@ -1048,16 +1064,18 @@ def sequence_unpad(x, length, name=None):
Examples:
.. code-block:: python
import paddle
paddle.enable_static()
import paddle.fluid as fluid
import numpy
# pad data
x = fluid.data(name='x', shape=[10, 5], dtype='float32', lod_level=1)
pad_value = fluid.layers.assign(input=numpy.array([0.0], dtype=numpy.float32))
pad_data, len = fluid.layers.sequence_pad(x=x, pad_value=pad_value)
x = paddle.static.data(name='x', shape=[10, 5], dtype='float32', lod_level=1)
pad_value = paddle.assign(numpy.array([0.0], dtype=numpy.float32))
pad_data, len = paddle.static.nn.sequence_pad(x=x, pad_value=pad_value)
# unpad data
unpad_data = fluid.layers.sequence_unpad(x=pad_data, length=len)
unpad_data = paddle.static.nn.sequence_unpad(x=pad_data, length=len)
"""
assert not in_dygraph_mode(), (
......@@ -1123,9 +1141,11 @@ def sequence_reshape(input, new_dim):
Examples:
.. code-block:: python
import paddle.fluid as fluid
x = fluid.data(name='x', shape=[None, 16], dtype='float32', lod_level=1)
x_reshaped = fluid.layers.sequence_reshape(input=x, new_dim=4)
import paddle
paddle.enable_static()
x = paddle.static.data(name='x', shape=[None, 16], dtype='float32', lod_level=1)
x_reshaped = paddle.static.nn.sequence_reshape(input=x, new_dim=4)
"""
assert not in_dygraph_mode(), (
"sequence layer is not supported in dygraph mode yet.")
......@@ -1200,12 +1220,13 @@ def sequence_scatter(input, index, updates, name=None):
.. code-block:: python
import paddle.fluid as fluid
import paddle
paddle.enable_static()
input = fluid.data( name="x", shape=[None, 3, 6], dtype='float32' )
index = fluid.data( name='index', shape=[12, 1], dtype='int64', lod_level=1)
updates = fluid.data( name='updates', shape=[12, 1], dtype='float32', lod_level=1)
output = fluid.layers.sequence_scatter(input, index, updates)
input = paddle.static.data(name="x", shape=[None, 3, 6], dtype='float32' )
index = paddle.static.data(name='index', shape=[12, 1], dtype='int64', lod_level=1)
updates = paddle.static.data(name='updates', shape=[12, 1], dtype='float32', lod_level=1)
output = paddle.static.nn.sequence_scatter(input, index, updates)
"""
assert not in_dygraph_mode(), (
......@@ -1279,10 +1300,11 @@ def sequence_enumerate(input, win_size, pad_value=0, name=None):
Examples:
.. code-block:: python
import paddle.fluid as fluid
x = fluid.data(name='x', shape=[-1, 1], dtype='int32', lod_level=1)
out = fluid.layers.sequence_enumerate(input=x, win_size=3, pad_value=0)
import paddle
paddle.enable_static()
x = paddle.static.data(name='x', shape=[-1, 1], dtype='int32', lod_level=1)
out = paddle.static.nn.sequence_enumerate(input=x, win_size=3, pad_value=0)
"""
assert not in_dygraph_mode(), (
"sequence layer is not supported in dygraph mode yet.")
......@@ -1333,26 +1355,30 @@ def sequence_mask(x, maxlen=None, dtype='int64', name=None):
Tensor or LodTensor with shape [d_1, d_2, ..., d_n].
maxlen (int, optional): Maximum length of the sequence. If :code:`maxlen` \
is None, it would be replace with :math:`max(x)`.
dtype (np.dtype|core.VarDesc.VarType|str, optional): Data type of the output, \
dtype (np.dtype|paddle.dtype|str, optional): Data type of the output, \
``int64`` by default.
name(str, optional): For detailed information, please refer \
to :ref:`api_guide_Name`. Usually name is no need to set and \
None by default.
Returns: The output sequence mask. Tensor or LodTensor with shape [d_1, d_2, ..., d_n, maxlen] \
and data type of :code:`dtype`. The data type should be float32, float64, int8, \
Returns: The output sequence mask. Tensor with shape [d_1, d_2, ..., d_n, maxlen] \
and data type of :code:`dtype`. The data type should be bool, float32, float64, int8, \
int32 or int64.
Return Type: Variable
Return Type: Tensor
Examples:
.. code-block:: python
import paddle.fluid as fluid
import paddle.fluid.layers as layers
import paddle
lengths = paddle.to_tensor([10, 9, 8])
mask = paddle.nn.functional.sequence_mask(lengths)
x = fluid.data(name='x', shape=[10], dtype='float32', lod_level=1)
mask = layers.sequence_mask(x=x)
print(mask.numpy())
# [[1 1 1 1 1 1 1 1 1 1]
# [1 1 1 1 1 1 1 1 1 0]
# [1 1 1 1 1 1 1 1 0 0]]
"""
helper = LayerHelper('sequence_mask', **locals())
......@@ -1414,9 +1440,11 @@ def sequence_reverse(x, name=None):
Examples:
.. code-block:: python
import paddle.fluid as fluid
x = fluid.data(name='x', shape=[None, 10], dtype='float32', lod_level=1)
x_reversed = fluid.layers.sequence_reverse(x)
import paddle
paddle.enable_static()
x = paddle.static.data(name='x', shape=[None, 10], dtype='float32', lod_level=1)
x_reversed = paddle.static.nn.sequence_reverse(x)
"""
assert not in_dygraph_mode(), (
"sequence layer is not supported in dygraph mode yet.")
......
python/paddle/nn/functional/__init__.py
浏览文件 @ f12c943a
......@@ -98,6 +98,7 @@ from .conv import conv3d_transpose #DEFINE_ALIAS
# from .extension import temporal_shift #DEFINE_ALIAS
# from .extension import warpctc #DEFINE_ALIAS
from .extension import diag_embed #DEFINE_ALIAS
from .extension import sequence_mask
# from .lod import sequence_concat #DEFINE_ALIAS
# from .lod import sequence_conv #DEFINE_ALIAS
# from .lod import sequence_enumerate #DEFINE_ALIAS
......
python/paddle/nn/functional/extension.py
浏览文件 @ f12c943a
......@@ -14,7 +14,7 @@
# TODO: define the extention functions
__all__ = ['diag_embed']
__all__ = ['diag_embed', 'sequence_mask']
import numpy as np
from ...fluid.data_feeder import check_dtype
......@@ -23,6 +23,7 @@ from ...fluid.framework import Variable, in_dygraph_mode
from ...fluid.layers.tensor import assign
from ...fluid import core, dygraph_utils
from ...fluid.layers.layer_function_generator import templatedoc
from ...fluid.layers.sequence_lod import sequence_mask
def diag_embed(input, offset=0, dim1=-2, dim2=-1):
......
python/paddle/static/nn/__init__.py
浏览文件 @ f12c943a
......@@ -39,6 +39,21 @@ __all__ = [
'switch_case',
'while_loop',
'sparse_embedding',
'sequence_conv',
'sequence_softmax',
'sequence_pool',
'sequence_concat',
'sequence_first_step',
'sequence_last_step',
'sequence_slice',
'sequence_expand',
'sequence_expand_as',
'sequence_pad',
'sequence_unpad',
'sequence_reshape',
'sequence_scatter',
'sequence_enumerate',
'sequence_reverse',
]
from .common import fc #DEFINE_ALIAS
......@@ -69,3 +84,19 @@ from ...fluid.layers import while_loop #DEFINE_ALIAS
from ...fluid.input import embedding #DEFINE_ALIAS
from ...fluid.contrib.layers import sparse_embedding #DEFINE_ALIAS
from ...fluid.layers.sequence_lod import sequence_conv
from ...fluid.layers.sequence_lod import sequence_softmax
from ...fluid.layers.sequence_lod import sequence_pool
from ...fluid.layers.sequence_lod import sequence_concat
from ...fluid.layers.sequence_lod import sequence_first_step
from ...fluid.layers.sequence_lod import sequence_last_step
from ...fluid.layers.sequence_lod import sequence_slice
from ...fluid.layers.sequence_lod import sequence_expand
from ...fluid.layers.sequence_lod import sequence_expand_as
from ...fluid.layers.sequence_lod import sequence_pad
from ...fluid.layers.sequence_lod import sequence_unpad
from ...fluid.layers.sequence_lod import sequence_reshape
from ...fluid.layers.sequence_lod import sequence_scatter
from ...fluid.layers.sequence_lod import sequence_enumerate
from ...fluid.layers.sequence_lod import sequence_reverse
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