From 2b2fd58c24060a7c98714f6f3eff815f282601ca Mon Sep 17 00:00:00 2001 From: liang <3260792183@qq.com> Date: Wed, 12 Nov 2025 16:53:43 +0800 Subject: [PATCH] =?UTF-8?q?fix:=20multiple=20typos=20(intializers=E2=86=92?= =?UTF-8?q?initializers,=20intput=E2=86=92input,=20etc.)?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- _typos.toml | 7 -- ci_scripts/CAPItools/utils_helper.py | 72 ++++++++++--------- docs/api/copy_codes_from_en_doc.py | 4 +- docs/design/data_type/float16.md | 2 +- docs/design/modules/infer_var_type.md | 2 +- docs/design/others/graph.md | 2 +- .../torch.nn.FractionalMaxPool2d.md | 2 +- .../torch.nn.FractionalMaxPool3d.md | 2 +- ...rch.nn.functional.fractional_max_pool2d.md | 2 +- ...rch.nn.functional.fractional_max_pool3d.md | 2 +- 10 files changed, 47 insertions(+), 50 deletions(-) diff --git a/_typos.toml b/_typos.toml index 7898d2037e5..aa9c63e4290 100644 --- a/_typos.toml +++ b/_typos.toml @@ -35,13 +35,6 @@ Optimzier = "Optimzier" Setment = "Setment" Simle = "Simle" Sovler = "Sovler" -inferface = "inferface" -infor = "infor" -instert = "instert" -instrinsics = "instrinsics" -interchangable = "interchangable" -intializers = "intializers" -intput = "intput" libary = "libary" matrics = "matrics" metrices = "metrices" diff --git a/ci_scripts/CAPItools/utils_helper.py b/ci_scripts/CAPItools/utils_helper.py index 85fadea157e..a57eea55641 100644 --- a/ci_scripts/CAPItools/utils_helper.py +++ b/ci_scripts/CAPItools/utils_helper.py @@ -219,7 +219,7 @@ def decode(self): # 避免空函数解析 self.init_func = self.class_name - self.functions_infor = [] + self.functions_info = [] # Note: 未来可能在private也有函数 # Note: 函数内构造函数可能解析有问题，需要后期查验 self.class_function_number = len(self.class_dict["methods"]["public"]) @@ -267,7 +267,7 @@ def decode(self): "param_intro" ][param_name] - self.functions_infor.append( + self.functions_info.append( { "name": function_name, "doxygen": funcs_intro, @@ -322,46 +322,48 @@ def create_and_write_file_cn(self, save_dir, language): ) f.write(class_function_head_text) - for fun_infor in self.functions_infor: - if fun_infor["template"] == "": + for fun_info in self.functions_info: + if fun_info["template"] == "": fun_name_and_intro_text = "" else: - fun_name_and_intro_text = f"{fun_infor['template']}\n" + fun_name_and_intro_text = f"{fun_info['template']}\n" fun_name_and_intro_text += ( - f"{fun_infor['name']}\n" + f"{fun_info['name']}\n" + "'''''''''''\n" - + f"{fun_infor['doxygen']}\n" + + f"{fun_info['doxygen']}\n" + "\n" ) f.write(fun_name_and_intro_text) - if fun_infor["note"] != "": + if fun_info["note"] != "": fun_note_text = ( - "..note::\n" + f"\t{fun_infor['note']}\n" + "\n" + "..note::\n" + f"\t{fun_info['note']}\n" + "\n" ) f.write(fun_note_text) - if len(fun_infor["parameter"]) != 0: + if len(fun_info["parameter"]) != 0: parameters_text = "**参数**\n" + "'''''''''''\n" f.write(parameters_text) - for param in fun_infor["parameter"].keys(): + for param in fun_info["parameter"].keys(): param_text = f"\t- **{param}**" - if fun_infor["parameter"][param]["type"] != "": - param_text += f" ({fun_infor['parameter'][param]['type']})" - if fun_infor["parameter"][param]["intro"] != "": - param_text += f" - {fun_infor['parameter'][param]['intro']}" + if fun_info["parameter"][param]["type"] != "": + param_text += ( + f" ({fun_info['parameter'][param]['type']})" + ) + if fun_info["parameter"][param]["intro"] != "": + param_text += f" - {fun_info['parameter'][param]['intro']}" param_text += "\n" f.write(param_text) f.write("\n") if ( - fun_infor["returns"] != "" - and "void" not in fun_infor["returns"] + fun_info["returns"] != "" + and "void" not in fun_info["returns"] ): fun_return_text = ( "**返回**\n" + "'''''''''''\n" - + f"{fun_infor['returns']}\n" + + f"{fun_info['returns']}\n" + "\n" ) f.write(fun_return_text) @@ -399,46 +401,48 @@ def create_and_write_file_en(self, save_dir, language): ) f.write(class_function_head_text) - for fun_infor in self.functions_infor: - if fun_infor["template"] == "": + for fun_info in self.functions_info: + if fun_info["template"] == "": fun_name_and_intro_text = "" else: - fun_name_and_intro_text = f"{fun_infor['template']}\n" + fun_name_and_intro_text = f"{fun_info['template']}\n" fun_name_and_intro_text += ( - f"{fun_infor['name']}\n" + f"{fun_info['name']}\n" + "'''''''''''\n" - + f"{fun_infor['doxygen']}\n" + + f"{fun_info['doxygen']}\n" + "\n" ) f.write(fun_name_and_intro_text) - if fun_infor["note"] != "": + if fun_info["note"] != "": fun_note_text = ( - "..note::\n" + f"\t{fun_infor['note']}\n" + "\n" + "..note::\n" + f"\t{fun_info['note']}\n" + "\n" ) f.write(fun_note_text) - if len(fun_infor["parameter"]) != 0: + if len(fun_info["parameter"]) != 0: parameters_text = "**Parameters**\n" + "'''''''''''\n" f.write(parameters_text) - for param in fun_infor["parameter"].keys(): + for param in fun_info["parameter"].keys(): param_text = f"\t- **{param}**" - if fun_infor["parameter"][param]["type"] != "": - param_text += f" ({fun_infor['parameter'][param]['type']})" - if fun_infor["parameter"][param]["intro"] != "": - param_text += f" - {fun_infor['parameter'][param]['intro']}" + if fun_info["parameter"][param]["type"] != "": + param_text += ( + f" ({fun_info['parameter'][param]['type']})" + ) + if fun_info["parameter"][param]["intro"] != "": + param_text += f" - {fun_info['parameter'][param]['intro']}" param_text += "\n" f.write(param_text) f.write("\n") if ( - fun_infor["returns"] != "" - and "void" not in fun_infor["returns"] + fun_info["returns"] != "" + and "void" not in fun_info["returns"] ): fun_return_text = ( "**Returns**\n" + "'''''''''''\n" - + f"{fun_infor['returns']}\n" + + f"{fun_info['returns']}\n" + "\n" ) f.write(fun_return_text) diff --git a/docs/api/copy_codes_from_en_doc.py b/docs/api/copy_codes_from_en_doc.py index f484b6528ba..473919aa35b 100644 --- a/docs/api/copy_codes_from_en_doc.py +++ b/docs/api/copy_codes_from_en_doc.py @@ -237,7 +237,7 @@ def find_codeblock_needed(cf_info): return None -def instert_codes_into_cn_rst_if_need(cnrstfilename): +def insert_codes_into_cn_rst_if_need(cnrstfilename): """ Analyse the cn rst file, if need, extract code-blocks from en docstring. """ @@ -290,7 +290,7 @@ def instert_codes_into_cn_rst_if_need(cnrstfilename): def filter_all_files( - rootdir, ext="_cn.rst", action=instert_codes_into_cn_rst_if_need + rootdir, ext="_cn.rst", action=insert_codes_into_cn_rst_if_need ): """ find all the _en.html file, and do the action. diff --git a/docs/design/data_type/float16.md b/docs/design/data_type/float16.md index bfda53caaeb..0a496921ded 100644 --- a/docs/design/data_type/float16.md +++ b/docs/design/data_type/float16.md @@ -93,7 +93,7 @@ To support the above features, two fundamental conversion functions are provided float16 float_to_half_rn(float f); // convert to half precision in round-to-nearest-even mode float half_to_float(float16 h); ``` -which provides one-to-one conversion between float32 and float16. These twos functions will do different conversion routines based on the current hardware. CUDA/ARM instrinsics will be used when the corresponding hardware is available. If the hardware or compiler level does not support float32 to float16 conversion, software emulation will be performed to do the conversion. +which provides one-to-one conversion between float32 and float16. These twos functions will do different conversion routines based on the current hardware. CUDA/ARM intrinsics will be used when the corresponding hardware is available. If the hardware or compiler level does not support float32 to float16 conversion, software emulation will be performed to do the conversion. ## float16 inference In Fluid, a neural network is represented as a protobuf message called [ProgramDesc](https://github.com/PaddlePaddle/docs/blob/develop/docs/design/concepts/program.md), whose Python wrapper is a [Program](https://github.com/PaddlePaddle/docs/blob/develop/docs/design/modules/python_api.md#program). The basic structure of a program is some nested [blocks](https://github.com/PaddlePaddle/docs/blob/develop/docs/design/modules/python_api.md#block), where each block consists of some [variable](https://github.com/PaddlePaddle/docs/blob/develop/docs/design/modules/python_api.md#variable) definitions and a sequence of [operators](https://github.com/PaddlePaddle/docs/blob/develop/docs/design/modules/python_api.md#operator). An [executor](https://github.com/PaddlePaddle/docs/blob/develop/docs/design/concepts/executor.md) will run a given program desc by executing the sequence of operators in the entrance block of the program one by one. diff --git a/docs/design/modules/infer_var_type.md b/docs/design/modules/infer_var_type.md index 22b7b27b2b9..7231df5a1f6 100644 --- a/docs/design/modules/infer_var_type.md +++ b/docs/design/modules/infer_var_type.md @@ -10,7 +10,7 @@ The variable type will be constant at runtime. Every variable's type can either ## Proposed Solution -The `InferVarType` is a compile-time function which is registered to each operator. The inferface of that function is: +The `InferVarType` is a compile-time function which is registered to each operator. The interface of that function is: ```c++ diff --git a/docs/design/others/graph.md b/docs/design/others/graph.md index e7f1f3015ad..56674fb7a2a 100644 --- a/docs/design/others/graph.md +++ b/docs/design/others/graph.md @@ -56,7 +56,7 @@ For each parameter, like W and b created by `layer.fc`, marked as double circles ## Block and Graph -The word block and graph are interchangable in the design of PaddlePaddle. A [Block](https://github.com/PaddlePaddle/Paddle/pull/3708) is a metaphor of the code and local variables in a pair of curly braces in programming languages, where operators are like statements or instructions. A graph of operators and variables is a representation of the block. +The word block and graph are interchangeable in the design of PaddlePaddle. A [Block](https://github.com/PaddlePaddle/Paddle/pull/3708) is a metaphor of the code and local variables in a pair of curly braces in programming languages, where operators are like statements or instructions. A graph of operators and variables is a representation of the block. A Block keeps operators in an array `BlockDesc::ops` diff --git a/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.FractionalMaxPool2d.md b/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.FractionalMaxPool2d.md index 26db2d5a090..ade334cf3c4 100644 --- a/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.FractionalMaxPool2d.md +++ b/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.FractionalMaxPool2d.md @@ -24,7 +24,7 @@ PyTorch 参数更多，具体如下： ### 转写示例 #### output_ratio:目标输出比例 ```python -# 假设 intput 的 with=7, height=7， +# 假设 input 的 with=7, height=7， # output_ratio = 0.75, 则目标 output 的 width = int(7*0.75) = 5, height = int(7*0.75) = 5 # Pytorch 写法 torch.nn.FractionalMaxPool2d(2, output_ratio=[0.75, 0.75], return_indices=True) diff --git a/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.FractionalMaxPool3d.md b/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.FractionalMaxPool3d.md index cc3a47e3285..c51e75e71e7 100644 --- a/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.FractionalMaxPool3d.md +++ b/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.FractionalMaxPool3d.md @@ -24,7 +24,7 @@ PyTorch 参数更多，具体如下： ### 转写示例 #### output_ratio:目标输出比例 ```python -# 假设 intput 的 depth=7, with=7, height=7， +# 假设 input 的 depth=7, with=7, height=7， # output_ratio = 0.75, 则目标 output 的 depth = int(7*0.75) = 5, width = int(7*0.75) = 5, height = int(7*0.75) = 5 # Pytorch 写法 torch.nn.FractionalMaxPool3d(2, output_ratio=[0.75, 0.75, 0.75], return_indices=True) diff --git a/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.functional.fractional_max_pool2d.md b/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.functional.fractional_max_pool2d.md index 8b6299f5a0e..f45aef78d2e 100644 --- a/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.functional.fractional_max_pool2d.md +++ b/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.functional.fractional_max_pool2d.md @@ -25,7 +25,7 @@ PyTorch 参数更多，具体如下： ### 转写示例 #### output_ratio:目标输出比例 ```python -# 假设 intput 的 with=7, height=7， +# 假设 input 的 with=7, height=7， # output_ratio = 0.75, 则目标 output 的 width = int(7*0.75) = 5, height = int(7*0.75) = 5 # Pytorch 写法 torch.nn.functional.fractional_max_pool2d(input, 2, output_ratio=[0.75, 0.75], return_indices=True) diff --git a/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.functional.fractional_max_pool3d.md b/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.functional.fractional_max_pool3d.md index 67985574a77..052a2aa2021 100644 --- a/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.functional.fractional_max_pool3d.md +++ b/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.functional.fractional_max_pool3d.md @@ -25,7 +25,7 @@ PyTorch 参数更多，具体如下： ### 转写示例 #### output_ratio:目标输出比例 ```python -# 假设 intput 的 depth=7, with=7, height=7， +# 假设 input 的 depth=7, with=7, height=7， # output_ratio = 0.75, 则目标 output 的 depth = int(7*0.75) = 5, width = int(7*0.75) = 5, height = int(7*0.75) = 5 # Pytorch 写法 torch.nn.functional.fractional_max_pool3d(input, 2, output_ratio=[0.75, 0.75, 0.75], return_indices=True)