未验证 提交 6a8e5404 编写于 作者: H huzhiqiang 提交者: GitHub

fix reorder_lod_tensor_by_rank doc en (#20256)

fix reorder_lod_tensor_by_rank doc en 
上级 b82e6520
...@@ -379,7 +379,7 @@ paddle.fluid.layers.StaticRNN.step (ArgSpec(args=['self'], varargs=None, keyword ...@@ -379,7 +379,7 @@ 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', '5b71df1f6beee225ccfa9566f537059d')) paddle.fluid.layers.StaticRNN.step_input (ArgSpec(args=['self', 'x'], varargs=None, keywords=None, defaults=None), ('document', '5b71df1f6beee225ccfa9566f537059d'))
paddle.fluid.layers.StaticRNN.step_output (ArgSpec(args=['self', 'o'], varargs=None, keywords=None, defaults=None), ('document', '10a543d40e14408765c5294636646a6c')) paddle.fluid.layers.StaticRNN.step_output (ArgSpec(args=['self', 'o'], varargs=None, keywords=None, defaults=None), ('document', '10a543d40e14408765c5294636646a6c'))
paddle.fluid.layers.StaticRNN.update_memory (ArgSpec(args=['self', 'mem', 'var'], varargs=None, keywords=None, defaults=None), ('document', '2021b2399d9a2265e2c254973ed151cd')) paddle.fluid.layers.StaticRNN.update_memory (ArgSpec(args=['self', 'mem', 'var'], varargs=None, keywords=None, defaults=None), ('document', '2021b2399d9a2265e2c254973ed151cd'))
paddle.fluid.layers.reorder_lod_tensor_by_rank (ArgSpec(args=['x', 'rank_table'], varargs=None, keywords=None, defaults=None), ('document', '5b552a1f0f7eb4dacb768a975ba15d08')) paddle.fluid.layers.reorder_lod_tensor_by_rank (ArgSpec(args=['x', 'rank_table'], varargs=None, keywords=None, defaults=None), ('document', 'db67cfcdd20ff6380d125a7553d62121'))
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, 20, True, True, True, True, 'both')), ('document', '3130bed32922b9fd84ce2dea6250f635')) 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, 20, True, True, True, True, 'both')), ('document', '3130bed32922b9fd84ce2dea6250f635'))
paddle.fluid.layers.is_empty (ArgSpec(args=['x', 'cond'], varargs=None, keywords=None, defaults=(None,)), ('document', '3011dc695f490afdf504dc24f628319a')) 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', '7bd26680989f33301a4a68000d5af4b0')) paddle.fluid.layers.sigmoid (ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', '7bd26680989f33301a4a68000d5af4b0'))
......
...@@ -30,7 +30,7 @@ class ReorderLoDTensorByRankTableOpProtoMaker ...@@ -30,7 +30,7 @@ class ReorderLoDTensorByRankTableOpProtoMaker
AddInput("RankTable", AddInput("RankTable",
"(LoDRankTable), the rank table according to which Input(X) is " "(LoDRankTable), the rank table according to which Input(X) is "
"reordered."); "reordered.");
AddOutput("Out", "(LoDTensor), the reordered lod tensor."); AddOutput("Out", "LoDTensor, the reordered lod tensor.");
AddComment(R"DOC(ReorderLoDTensorByRankTable operator. AddComment(R"DOC(ReorderLoDTensorByRankTable operator.
Input(X) is a batch of sequences. Input(RankTable) stores new orders of the Input(X) is a batch of sequences. Input(RankTable) stores new orders of the
...@@ -57,7 +57,8 @@ X = [Slice0, Slice1, Slice2, Slice3] and its LoD information is empty. The ...@@ -57,7 +57,8 @@ X = [Slice0, Slice1, Slice2, Slice3] and its LoD information is empty. The
indices in RankTable are [3, 0, 2, 1]. indices in RankTable are [3, 0, 2, 1].
Out = [Slice3, Slice0, Slice2, Slice1] with no LoD information is appended. Out = [Slice3, Slice0, Slice2, Slice1] with no LoD information is appended.
NOTE: This operator sorts Input(X) according to a given LoDRankTable which does **NOTE**:
This operator sorts Input(X) according to a given LoDRankTable which does
not need to be calculated according to Input(X). It can be calculated according not need to be calculated according to Input(X). It can be calculated according
to another different sequence, and then this operator sorts Input(X) according to another different sequence, and then this operator sorts Input(X) according
to the given LoDRankTable. to the given LoDRankTable.
......
...@@ -2337,12 +2337,11 @@ def reorder_lod_tensor_by_rank(x, rank_table): ...@@ -2337,12 +2337,11 @@ def reorder_lod_tensor_by_rank(x, rank_table):
${comment} ${comment}
Args: Args:
x(${x_type}): ${x_comment}.
x(${x_type}): ${x_comment} rank_table(${rank_table_type}): ${rank_table_comment}.
rank_table(${rank_table_type}): ${rank_table_type}
Returns: Returns:
out(${out_type}): ${out_comment} out(${out_type}): ${out_comment}.
Examples: Examples:
.. code-block:: python .. code-block:: python
......
Markdown is supported
0% .
You are about to add 0 people to the discussion. Proceed with caution.
先完成此消息的编辑!
想要评论请 注册