diff --git a/paddle/fluid/API.spec b/paddle/fluid/API.spec index 4aa4a2bfbbd17d5996f8c8a2c13427089c50a016..0bfaa67ba6c2f6c58c34076e1cb2040c8d085490 100644 --- a/paddle/fluid/API.spec +++ b/paddle/fluid/API.spec @@ -207,7 +207,7 @@ paddle.fluid.layers.logical_not (ArgSpec(args=['x', 'out', 'name'], varargs=None paddle.fluid.layers.clip (ArgSpec(args=['x', 'min', 'max', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', '0ce33756573c572da67302499455dbcd')) paddle.fluid.layers.clip_by_norm (ArgSpec(args=['x', 'max_norm', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', 'a1ea0bc5a926f427458c4254ca022749')) paddle.fluid.layers.mean (ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', 'd638d915195ce86a8d7963b81110d4c8')) -paddle.fluid.layers.mul (ArgSpec(args=['x', 'y', 'x_num_col_dims', 'y_num_col_dims', 'name'], varargs=None, keywords=None, defaults=(1, 1, None)), ('document', 'ccd37fa6b53f074adbfb732d738c4c2d')) +paddle.fluid.layers.mul (ArgSpec(args=['x', 'y', 'x_num_col_dims', 'y_num_col_dims', 'name'], varargs=None, keywords=None, defaults=(1, 1, None)), ('document', '784b7e36cea88493f9e37a41b10fbf4d')) paddle.fluid.layers.sigmoid_cross_entropy_with_logits (ArgSpec(args=['x', 'label', 'ignore_index', 'name', 'normalize'], varargs=None, keywords=None, defaults=(-100, None, False)), ('document', '180c284317ea45ef89a460d8d79c0b72')) paddle.fluid.layers.maxout (ArgSpec(args=['x', 'groups', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', '71426e02d240d0daedae81a02ca1c191')) paddle.fluid.layers.space_to_depth (ArgSpec(args=['x', 'blocksize', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', 'a9221eaef53884a00654e028551b78e2')) @@ -238,8 +238,8 @@ paddle.fluid.layers.continuous_value_model (ArgSpec(args=['input', 'cvm', 'use_c paddle.fluid.layers.where (ArgSpec(args=['condition'], varargs=None, keywords=None, defaults=None), ('document', '3126e3039e752ce26077f1efaca355c6')) paddle.fluid.layers.sign (ArgSpec(args=['x'], varargs=None, keywords=None, defaults=None), ('document', 'ccf6bb7912afd2818d24bc45461e807a')) paddle.fluid.layers.data (ArgSpec(args=['name', 'shape', 'append_batch_size', 'dtype', 'lod_level', 'type', 'stop_gradient'], varargs=None, keywords=None, defaults=(True, 'float32', 0, VarType.LOD_TENSOR, True)), ('document', 'adf285346e23316097f7789b572491e9')) -paddle.fluid.layers.open_files (ArgSpec(args=['filenames', 'shapes', 'lod_levels', 'dtypes', 'thread_num', 'buffer_size', 'pass_num', 'is_test'], varargs=None, keywords=None, defaults=(None, None, 1, None)), ('document', 'cf12066a3139026119f97f9d4381a1bd')) -paddle.fluid.layers.read_file (ArgSpec(args=['reader'], varargs=None, keywords=None, defaults=None), ('document', 'b0a1c2fc51c27a106da28f3308c41f5e')) +paddle.fluid.layers.open_files (ArgSpec(args=['filenames', 'shapes', 'lod_levels', 'dtypes', 'thread_num', 'buffer_size', 'pass_num', 'is_test'], varargs=None, keywords=None, defaults=(None, None, 1, None)), ('document', 'dce69a78638da8f7ad80b1fc00ed2029')) +paddle.fluid.layers.read_file (ArgSpec(args=['reader'], varargs=None, keywords=None, defaults=None), ('document', '32181f6037e387fb6e68a5beaafe33b6')) paddle.fluid.layers.shuffle (ArgSpec(args=['reader', 'buffer_size'], varargs=None, keywords=None, defaults=None), ('document', 'f967a73426db26f970bc70bfb03cffca')) paddle.fluid.layers.batch (ArgSpec(args=['reader', 'batch_size'], varargs=None, keywords=None, defaults=None), ('document', 'fcb24383c6eef2ca040ee824c26e22fd')) paddle.fluid.layers.double_buffer (ArgSpec(args=['reader', 'place', 'name'], varargs=None, keywords=None, defaults=(None, None)), ('document', '07e5b796674796eb1ef3fee9c10d24e3')) @@ -267,8 +267,8 @@ paddle.fluid.layers.argsort (ArgSpec(args=['input', 'axis', 'name'], varargs=Non paddle.fluid.layers.ones (ArgSpec(args=['shape', 'dtype', 'force_cpu'], varargs=None, keywords=None, defaults=(False,)), ('document', 'b402489c62e668df42e7daceb63c142b')) paddle.fluid.layers.zeros (ArgSpec(args=['shape', 'dtype', 'force_cpu'], varargs=None, keywords=None, defaults=(False,)), ('document', 'c155e2efc56ffa5ed4658cca0272e491')) paddle.fluid.layers.reverse (ArgSpec(args=['x', 'axis'], varargs=None, keywords=None, defaults=None), ('document', '8ee7cb6ca639e7460e825f953b65d94d')) -paddle.fluid.layers.has_inf (ArgSpec(args=['x'], varargs=None, keywords=None, defaults=None), ('document', '8f8c0306117ea441f20dcbbdba1f0ecc')) -paddle.fluid.layers.has_nan (ArgSpec(args=['x'], varargs=None, keywords=None, defaults=None), ('document', '2e53e83127dbfd86e7098bdfe9a549e8')) +paddle.fluid.layers.has_inf (ArgSpec(args=['x'], varargs=None, keywords=None, defaults=None), ('document', '51a0fa1cfaf2507c00a215adacdb8a63')) +paddle.fluid.layers.has_nan (ArgSpec(args=['x'], varargs=None, keywords=None, defaults=None), ('document', '129cf426e71452fe8276d616a6dc21ae')) paddle.fluid.layers.isfinite (ArgSpec(args=['x'], varargs=None, keywords=None, defaults=None), ('document', '0a437011c3906079fd8947ed3e52d292')) paddle.fluid.layers.range (ArgSpec(args=['start', 'end', 'step', 'dtype'], varargs=None, keywords=None, defaults=None), ('document', '2ec937ede953ded2fdff2675883900bb')) paddle.fluid.layers.linspace (ArgSpec(args=['start', 'stop', 'num', 'dtype'], varargs=None, keywords=None, defaults=None), ('document', '495e21e9a848c2d075a102802fc67756')) @@ -309,9 +309,9 @@ paddle.fluid.layers.StaticRNN.step (ArgSpec(args=['self'], varargs=None, keyword paddle.fluid.layers.StaticRNN.step_input (ArgSpec(args=['self', 'x'], varargs=None, keywords=None, defaults=None), ('document', '903387ec11f3d0bf46821d31a68cffa5')) paddle.fluid.layers.StaticRNN.step_output (ArgSpec(args=['self', 'o'], varargs=None, keywords=None, defaults=None), ('document', '252890d4c3199a7623ab8667e13fd837')) paddle.fluid.layers.StaticRNN.update_memory (ArgSpec(args=['self', 'mem', 'var'], varargs=None, keywords=None, defaults=None), ('document', '7a0000520f179f35239956a5ba55119f')) -paddle.fluid.layers.reorder_lod_tensor_by_rank (ArgSpec(args=['x', 'rank_table'], varargs=None, keywords=None, defaults=None), ('document', '3545f529ef04e8f6ecb76b47fa3df01a')) -paddle.fluid.layers.Print (ArgSpec(args=['input', 'first_n', 'message', 'summarize', 'print_tensor_name', 'print_tensor_type', 'print_tensor_shape', 'print_tensor_lod', 'print_phase'], varargs=None, keywords=None, defaults=(-1, None, -1, True, True, True, True, 'both')), ('document', '5fef91b0e21c93610785f2b1f7161732')) -paddle.fluid.layers.is_empty (ArgSpec(args=['x', 'cond'], varargs=None, keywords=None, defaults=(None,)), ('document', 'bbe578dbb49ad13e15b014e98c22b519')) +paddle.fluid.layers.reorder_lod_tensor_by_rank (ArgSpec(args=['x', 'rank_table'], varargs=None, keywords=None, defaults=None), ('document', '5b552a1f0f7eb4dacb768a975ba15d08')) +paddle.fluid.layers.Print (ArgSpec(args=['input', 'first_n', 'message', 'summarize', 'print_tensor_name', 'print_tensor_type', 'print_tensor_shape', 'print_tensor_lod', 'print_phase'], varargs=None, keywords=None, defaults=(-1, None, -1, True, True, True, True, 'both')), ('document', 'a222dbad457441941e50b812e5af9c7e')) +paddle.fluid.layers.is_empty (ArgSpec(args=['x', 'cond'], varargs=None, keywords=None, defaults=(None,)), ('document', '3011dc695f490afdf504dc24f628319a')) paddle.fluid.layers.sigmoid (ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', 'a4e395ab004e7da34e94a0a1f9eee183')) paddle.fluid.layers.logsigmoid (ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', '5f2508c52e0a797bb9bd5e29d79ede78')) paddle.fluid.layers.exp (ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', '41c976b68542f4cbee178640f765d845')) diff --git a/python/paddle/fluid/layers/control_flow.py b/python/paddle/fluid/layers/control_flow.py index f53394babf62869577babf035f8d6f87bfeefe36..5f5a2d105a8e600cfd3e7d569a20123270ecf3a3 100644 --- a/python/paddle/fluid/layers/control_flow.py +++ b/python/paddle/fluid/layers/control_flow.py @@ -1,4 +1,4 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. @@ -169,12 +169,16 @@ def Print(input, Examples: - .. code-block:: python + + import paddle.fluid as fluid + + input = fluid.layers.data(name="input", shape=[4, 32, 32], dtype="float32") + fluid.layers.Print(input, message = "The content of input layer:") + # value = some_layer(...) + # Print(value, summarize=10, + # message="The content of some_layer: ") - value = some_layer(...) - Print(value, summarize=10, - message="The content of some_layer: ") ''' helper = LayerHelper('print', **locals()) helper.append_op( @@ -2060,8 +2064,31 @@ class DynamicRNN(object): method)) -@autodoc() +@templatedoc() def reorder_lod_tensor_by_rank(x, rank_table): + """ + ${comment} + + Args: + + x(${x_type}): ${x_comment} + rank_table(${rank_table_type}): ${rank_table_type} + + Returns: + out(${out_type}): ${out_comment} + + Examples: + .. code-block:: python + + import paddle.fluid as fluid + data_desc = (['input', [9], 0], ['ref', [5], 1]) + data = fluid.layers.data(name=data_desc[0][0], shape=data_desc[0][1]) + rank_data = fluid.layers.data(name=data_desc[1][0], shape=data_desc[1][1]) + table = fluid.layers.control_flow.lod_rank_table(rank_data) + new_data = fluid.layers.reorder_lod_tensor_by_rank( + x=data, rank_table=table) + + """ helper = LayerHelper('reorder_lod_tensor_by_rank', **locals()) helper.is_instance('x', Variable) helper.is_instance('rank_table', Variable) @@ -2094,9 +2121,12 @@ def is_empty(x, cond=None): Examples: .. code-block:: python + import paddle.fluid as fluid + input = fluid.layers.data(name="input", shape=[4, 32, 32], dtype="float32") res = fluid.layers.is_empty(x=input) # or: - fluid.layers.is_empty(x=input, cond=res) + # fluid.layers.is_empty(x=input, cond=res) + """ helper = LayerHelper("is_empty", **locals()) if cond is None: diff --git a/python/paddle/fluid/layers/io.py b/python/paddle/fluid/layers/io.py index a2538fa0f9d29aa2521415abf3f8035401b5b2c3..db1b5599ab4650a51dee565d4f728495fdf96729 100644 --- a/python/paddle/fluid/layers/io.py +++ b/python/paddle/fluid/layers/io.py @@ -894,6 +894,7 @@ def open_files(filenames, Examples: .. code-block:: python + import paddle.fluid. as fluid reader = fluid.layers.io.open_files(filenames=['./data1.recordio', './data2.recordio'], shapes=[(3,224,224), (1,)], @@ -1089,15 +1090,16 @@ def read_file(reader): Examples: .. code-block:: python - + + import paddle.fluid as fluid data_file = fluid.layers.open_files( filenames=['mnist.recordio'], shapes=[(-1, 748), (-1, 1)], lod_levels=[0, 0], dtypes=["float32", "int64"]) - data_file = fluid.layers.double_buffer( + data_file = fluid.layers.double_buffer( fluid.layers.batch(data_file, batch_size=64)) - input, label = fluid.layers.read_file(data_file) + input, label = fluid.layers.read_file(data_file) """ helper = LayerHelper('read_file') out = [ diff --git a/python/paddle/fluid/layers/nn.py b/python/paddle/fluid/layers/nn.py index b889560a0caff3ae185545618480d7488d7ae2dc..0d2070292f7a976d4c152200318259136903291d 100644 --- a/python/paddle/fluid/layers/nn.py +++ b/python/paddle/fluid/layers/nn.py @@ -9875,6 +9875,18 @@ def mul(x, y, x_num_col_dims=1, y_num_col_dims=1, name=None): Returns: out(${out_type}): ${out_comment} + + Examples: + .. code-block:: python + + import paddle.fluid as fluid + dataX = fluid.layers.data(name="dataX", append_batch_size = False, shape=[2, 5], dtype="float32") + dataY = fluid.layers.data(name="dataY", append_batch_size = False, shape=[5, 3], dtype="float32") + output = fluid.layers.mul(dataX, dataY, + x_num_col_dims = 1, + y_num_col_dims = 1) + + """ helper = LayerHelper("mul", **locals()) diff --git a/python/paddle/fluid/layers/tensor.py b/python/paddle/fluid/layers/tensor.py index f1ad1cb9859e5332643e01532ab4b9569282ae1a..44c75be64f4296ca5308846958a1b4120a3df1f3 100644 --- a/python/paddle/fluid/layers/tensor.py +++ b/python/paddle/fluid/layers/tensor.py @@ -741,6 +741,14 @@ def has_inf(x): Returns: Variable: The tensor variable storing the output, only a bool value. + + Examples: + .. code-block:: python + + import paddle.fluid as fluid + data = fluid.layers.data(name="input", shape=[4, 32, 32], dtype="float32") + res = fluid.layers.has_inf(data) + """ helper = LayerHelper("isinf", **locals()) out = helper.create_variable_for_type_inference(dtype=x.dtype) @@ -757,6 +765,14 @@ def has_nan(x): Returns: Variable: The tensor variable storing the output, only a bool value. + + Examples: + .. code-block:: python + + import paddle.fluid as fluid + data = fluid.layers.data(name="input", shape=[4, 32, 32], dtype="float32") + res = fluid.layers.has_nan(data) + """ helper = LayerHelper("isnan", **locals()) out = helper.create_variable_for_type_inference(dtype=x.dtype) diff --git a/python/paddle/fluid/param_attr.py b/python/paddle/fluid/param_attr.py index b7ce1c0e4f59af6be2dfaa7db79b49f72de65b16..1778f4b55e7f99eaa2866c8e5db4af0e11166a67 100644 --- a/python/paddle/fluid/param_attr.py +++ b/python/paddle/fluid/param_attr.py @@ -202,11 +202,12 @@ class WeightNormParamAttr(ParamAttr): Examples: .. code-block:: python - + + import paddle.fluid as fluid data = fluid.layers.data(name="data", shape=[3, 32, 32], dtype="float32") fc = fluid.layers.fc(input=data, size=1000, - param_attr=WeightNormParamAttr( + param_attr=fluid.WeightNormParamAttr( dim=None, name='weight_norm_param'))