提交 d26276e3 编写于 作者: S ShenLiang 提交者: Yi Liu

fix doc, test=develop test=document_fix test=document_preview (#20249)

上级 d39b22e5
...@@ -126,7 +126,7 @@ paddle.fluid.initializer.NumpyArrayInitializer.__init__ (ArgSpec(args=['self', ' ...@@ -126,7 +126,7 @@ paddle.fluid.initializer.NumpyArrayInitializer.__init__ (ArgSpec(args=['self', '
paddle.fluid.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', 'd4ac047e0d5e6b7b1c5ff6ef7d7cfff5')) paddle.fluid.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', 'd4ac047e0d5e6b7b1c5ff6ef7d7cfff5'))
paddle.fluid.one_hot (ArgSpec(args=['input', 'depth', 'allow_out_of_range'], varargs=None, keywords=None, defaults=(False,)), ('document', 'eef66730acc806088f9e8ba90252bda1')) paddle.fluid.one_hot (ArgSpec(args=['input', 'depth', 'allow_out_of_range'], varargs=None, keywords=None, defaults=(False,)), ('document', 'eef66730acc806088f9e8ba90252bda1'))
paddle.fluid.layers.fc (ArgSpec(args=['input', 'size', 'num_flatten_dims', 'param_attr', 'bias_attr', 'act', 'name'], varargs=None, keywords=None, defaults=(1, None, None, None, None)), ('document', 'e28421f1253a3545d9bfe81a8028ea68')) paddle.fluid.layers.fc (ArgSpec(args=['input', 'size', 'num_flatten_dims', 'param_attr', 'bias_attr', 'act', 'name'], varargs=None, keywords=None, defaults=(1, None, None, None, None)), ('document', 'e28421f1253a3545d9bfe81a8028ea68'))
paddle.fluid.layers.center_loss (ArgSpec(args=['input', 'label', 'num_classes', 'alpha', 'param_attr', 'update_center'], varargs=None, keywords=None, defaults=(True,)), ('document', '9f61b78e88de4a33c7f9f13f6ebf3a4c')) paddle.fluid.layers.center_loss (ArgSpec(args=['input', 'label', 'num_classes', 'alpha', 'param_attr', 'update_center'], varargs=None, keywords=None, defaults=(True,)), ('document', '18112442f55b5862bbec8feee841c905'))
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', 'd8e405486a1e4e189b51d6ee28d67b1e')) 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', 'd8e405486a1e4e189b51d6ee28d67b1e'))
paddle.fluid.layers.dynamic_lstm (ArgSpec(args=['input', 'size', 'h_0', 'c_0', 'param_attr', 'bias_attr', 'use_peepholes', 'is_reverse', 'gate_activation', 'cell_activation', 'candidate_activation', 'dtype', 'name'], varargs=None, keywords=None, defaults=(None, None, None, None, True, False, 'sigmoid', 'tanh', 'tanh', 'float32', None)), ('document', '6d3ee14da70adfa36d85c40b18716ef2')) paddle.fluid.layers.dynamic_lstm (ArgSpec(args=['input', 'size', 'h_0', 'c_0', 'param_attr', 'bias_attr', 'use_peepholes', 'is_reverse', 'gate_activation', 'cell_activation', 'candidate_activation', 'dtype', 'name'], varargs=None, keywords=None, defaults=(None, None, None, None, True, False, 'sigmoid', 'tanh', 'tanh', 'float32', None)), ('document', '6d3ee14da70adfa36d85c40b18716ef2'))
paddle.fluid.layers.dynamic_lstmp (ArgSpec(args=['input', 'size', 'proj_size', 'param_attr', 'bias_attr', 'use_peepholes', 'is_reverse', 'gate_activation', 'cell_activation', 'candidate_activation', 'proj_activation', 'dtype', 'name', 'h_0', 'c_0', 'cell_clip', 'proj_clip'], varargs=None, keywords=None, defaults=(None, None, True, False, 'sigmoid', 'tanh', 'tanh', 'tanh', 'float32', None, None, None, None, None)), ('document', 'c37d51aad655c8a9f9b045c64717320a')) paddle.fluid.layers.dynamic_lstmp (ArgSpec(args=['input', 'size', 'proj_size', 'param_attr', 'bias_attr', 'use_peepholes', 'is_reverse', 'gate_activation', 'cell_activation', 'candidate_activation', 'proj_activation', 'dtype', 'name', 'h_0', 'c_0', 'cell_clip', 'proj_clip'], varargs=None, keywords=None, defaults=(None, None, True, False, 'sigmoid', 'tanh', 'tanh', 'tanh', 'float32', None, None, None, None, None)), ('document', 'c37d51aad655c8a9f9b045c64717320a'))
...@@ -212,10 +212,10 @@ paddle.fluid.layers.resize_bilinear (ArgSpec(args=['input', 'out_shape', 'scale' ...@@ -212,10 +212,10 @@ paddle.fluid.layers.resize_bilinear (ArgSpec(args=['input', 'out_shape', 'scale'
paddle.fluid.layers.resize_trilinear (ArgSpec(args=['input', 'out_shape', 'scale', 'name', 'actual_shape', 'align_corners', 'align_mode', 'data_format'], varargs=None, keywords=None, defaults=(None, None, None, None, True, 1, 'NCDHW')), ('document', '5b4d0f823f94c260fe5e6f7eec60a797')) paddle.fluid.layers.resize_trilinear (ArgSpec(args=['input', 'out_shape', 'scale', 'name', 'actual_shape', 'align_corners', 'align_mode', 'data_format'], varargs=None, keywords=None, defaults=(None, None, None, None, True, 1, 'NCDHW')), ('document', '5b4d0f823f94c260fe5e6f7eec60a797'))
paddle.fluid.layers.resize_nearest (ArgSpec(args=['input', 'out_shape', 'scale', 'name', 'actual_shape', 'align_corners', 'data_format'], varargs=None, keywords=None, defaults=(None, None, None, None, True, 'NCHW')), ('document', '0107a5cbae1aef3f381d3d769a6068eb')) paddle.fluid.layers.resize_nearest (ArgSpec(args=['input', 'out_shape', 'scale', 'name', 'actual_shape', 'align_corners', 'data_format'], varargs=None, keywords=None, defaults=(None, None, None, None, True, 'NCHW')), ('document', '0107a5cbae1aef3f381d3d769a6068eb'))
paddle.fluid.layers.gather (ArgSpec(args=['input', 'index', 'overwrite'], varargs=None, keywords=None, defaults=(True,)), ('document', 'f985c9b66e3aec96fa753a8eb44c991c')) paddle.fluid.layers.gather (ArgSpec(args=['input', 'index', 'overwrite'], varargs=None, keywords=None, defaults=(True,)), ('document', 'f985c9b66e3aec96fa753a8eb44c991c'))
paddle.fluid.layers.gather_nd (ArgSpec(args=['input', 'index', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', '7092e3da56bc91dd7b0cb967cfff101a')) paddle.fluid.layers.gather_nd (ArgSpec(args=['input', 'index', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', 'a7d625028525167b138106f574dffdf9'))
paddle.fluid.layers.scatter (ArgSpec(args=['input', 'index', 'updates', 'name', 'overwrite'], varargs=None, keywords=None, defaults=(None, True)), ('document', '69b22affd4a6326502af166f04c095ab')) paddle.fluid.layers.scatter (ArgSpec(args=['input', 'index', 'updates', 'name', 'overwrite'], varargs=None, keywords=None, defaults=(None, True)), ('document', '69b22affd4a6326502af166f04c095ab'))
paddle.fluid.layers.scatter_nd_add (ArgSpec(args=['ref', 'index', 'updates', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', 'b797ea7aa9e7d5c0e54b208d3bde0db6')) paddle.fluid.layers.scatter_nd_add (ArgSpec(args=['ref', 'index', 'updates', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', '2607b5c9369fbc52f208de066a80fc25'))
paddle.fluid.layers.scatter_nd (ArgSpec(args=['index', 'updates', 'shape', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', '15feefb05913d8bd14fbc586cd4c603c')) paddle.fluid.layers.scatter_nd (ArgSpec(args=['index', 'updates', 'shape', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', 'e43f1d3a938b35da246aea3e72a020ec'))
paddle.fluid.layers.sequence_scatter (ArgSpec(args=['input', 'index', 'updates', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', 'abe3f714120117a5a3d3e639853932bf')) paddle.fluid.layers.sequence_scatter (ArgSpec(args=['input', 'index', 'updates', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', 'abe3f714120117a5a3d3e639853932bf'))
paddle.fluid.layers.random_crop (ArgSpec(args=['x', 'shape', 'seed'], varargs=None, keywords=None, defaults=(None,)), ('document', '042af0b8abea96b40c22f6e70d99e042')) paddle.fluid.layers.random_crop (ArgSpec(args=['x', 'shape', 'seed'], varargs=None, keywords=None, defaults=(None,)), ('document', '042af0b8abea96b40c22f6e70d99e042'))
paddle.fluid.layers.mean_iou (ArgSpec(args=['input', 'label', 'num_classes'], varargs=None, keywords=None, defaults=None), ('document', 'e714b4aa7993dfe9c1a38886875dbaac')) paddle.fluid.layers.mean_iou (ArgSpec(args=['input', 'label', 'num_classes'], varargs=None, keywords=None, defaults=None), ('document', 'e714b4aa7993dfe9c1a38886875dbaac'))
......
...@@ -417,8 +417,8 @@ def center_loss(input, ...@@ -417,8 +417,8 @@ def center_loss(input,
import paddle.fluid as fluid import paddle.fluid as fluid
input = fluid.layers.data(name='x',shape=[20,30],dtype='float32') input = fluid.data(name='x',shape=[20,30],dtype='float32')
label = fluid.layers.data(name='y',shape=[20,1],dtype='int64') label = fluid.data(name='y',shape=[20,1],dtype='int64')
num_classes = 1000 num_classes = 1000
alpha = 0.01 alpha = 0.01
param_attr = fluid.initializer.Xavier(uniform=False) param_attr = fluid.initializer.Xavier(uniform=False)
...@@ -9676,8 +9676,8 @@ def gather_nd(input, index, name=None): ...@@ -9676,8 +9676,8 @@ def gather_nd(input, index, name=None):
.. code-block:: python .. code-block:: python
import paddle.fluid as fluid import paddle.fluid as fluid
x = fluid.layers.data(name='x', shape=[3, 4, 5], dtype='float32') x = fluid.data(name='x', shape=[3, 4, 5], dtype='float32')
index = fluid.layers.data(name='index', shape=[2, 2], dtype='int32') index = fluid.data(name='index', shape=[2, 2], dtype='int32')
output = fluid.layers.gather_nd(x, index) output = fluid.layers.gather_nd(x, index)
""" """
...@@ -9807,9 +9807,9 @@ def scatter_nd_add(ref, index, updates, name=None): ...@@ -9807,9 +9807,9 @@ def scatter_nd_add(ref, index, updates, name=None):
import paddle.fluid as fluid import paddle.fluid as fluid
ref = fluid.layers.data(name='ref', shape=[3, 5, 9, 10], dtype='float32', append_batch_size=False) ref = fluid.data(name='ref', shape=[3, 5, 9, 10], dtype='float32')
index = fluid.layers.data(name='index', shape=[3, 2], dtype='int32', append_batch_size=False) index = fluid.data(name='index', shape=[3, 2], dtype='int32')
updates = fluid.layers.data(name='update', shape=[3, 9, 10], dtype='float32', append_batch_size=False) updates = fluid.data(name='update', shape=[3, 9, 10], dtype='float32')
output = fluid.layers.scatter_nd_add(ref, index, updates) output = fluid.layers.scatter_nd_add(ref, index, updates)
""" """
...@@ -9862,8 +9862,8 @@ def scatter_nd(index, updates, shape, name=None): ...@@ -9862,8 +9862,8 @@ def scatter_nd(index, updates, shape, name=None):
import paddle.fluid as fluid import paddle.fluid as fluid
index = fluid.layers.data(name='index', shape=[3, 2], dtype='int64', append_batch_size=False) index = fluid.data(name='index', shape=[3, 2], dtype='int64')
updates = fluid.layers.data(name='update', shape=[3, 9, 10], dtype='float32', append_batch_size=False) updates = fluid.data(name='update', shape=[3, 9, 10], dtype='float32')
shape = [3, 5, 9, 10] shape = [3, 5, 9, 10]
output = fluid.layers.scatter_nd(index, updates, shape) output = fluid.layers.scatter_nd(index, updates, shape)
......
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