From 7b2b9262de20dd720c3f64acd21830ce54d126be Mon Sep 17 00:00:00 2001 From: Ruiqiao Qiu <1535170462@qq.com> Date: Tue, 11 Nov 2025 15:53:38 +0800 Subject: [PATCH 1/2] fix typo: 'Moible', 'mantained', 'mdule', 'mechnism', 'memeory', 'memroy', 'messege', 'metaphore', 'muliply', 'mulitplying', --- _typos.toml | 10 ---------- docs/design/concurrent/go_op.md | 2 +- docs/design/memory/README.md | 2 +- docs/design/memory/memory_optimization.md | 2 +- docs/design/mkldnn/gru/gru.md | 4 ++-- docs/design/others/graph.md | 2 +- docs/dev_guides/custom_device_docs/memory_api_en.md | 2 +- docs/eval/evaluation_of_docs_system.md | 2 +- .../eval/\343\200\220Hackathon No.69\343\200\221PR.md" | 2 +- docs/faq/train_cn.md | 2 +- .../composite_implement/torch._assert.md | 4 ++-- .../torch.testing.assert_allclose.md | 4 ++-- .../composite_implement/torch.testing.assert_close.md | 4 ++-- .../api_difference/torch_more_args/torch.load.md | 2 +- .../torch_more_args/torch.scalar_tensor.md | 2 +- .../pytorch_api_mapping_format_cn_deprecated.md | 2 +- .../pytorch_api_mapping_format_cn.md | 2 +- 17 files changed, 20 insertions(+), 30 deletions(-) diff --git a/_typos.toml b/_typos.toml index 1fd02bef340..db9013645fc 100644 --- a/_typos.toml +++ b/_typos.toml @@ -28,7 +28,6 @@ datas = "datas" # These words need to be fixed Learing = "Learing" -Moible = "Moible" Operaton = "Operaton" Optimizaing = "Optimizaing" Optimzier = "Optimzier" @@ -64,17 +63,8 @@ legth = "legth" lenth = "lenth" leran = "leran" libary = "libary" -mantained = "mantained" matrics = "matrics" -mdule = "mdule" -mechnism = "mechnism" -memeory = "memeory" -memroy = "memroy" -messege = "messege" -metaphore = "metaphore" metrices = "metrices" -muliply = "muliply" -mulitplying = "mulitplying" mutbale = "mutbale" occurence = "occurence" opeartor = "opeartor" diff --git a/docs/design/concurrent/go_op.md b/docs/design/concurrent/go_op.md index 95fc8948d7b..b333bd72c2d 100644 --- a/docs/design/concurrent/go_op.md +++ b/docs/design/concurrent/go_op.md @@ -218,7 +218,7 @@ for more details. #### Green Threads -Golang utilizes `green threads`, which is a mechnism for the runtime library to +Golang utilizes `green threads`, which is a mechanism for the runtime library to manage multiple threads (instead of natively by the OS). Green threads usually allows for faster thread creation and switching, as there is less overhead when spawning these threads. For the first version of CSP, we only support diff --git a/docs/design/memory/README.md b/docs/design/memory/README.md index 6964c543eaa..64a20a48840 100644 --- a/docs/design/memory/README.md +++ b/docs/design/memory/README.md @@ -116,7 +116,7 @@ I got inspiration from Majel and Caffe2, though above design look different from ### Caffe2 -In Caffe2, `Tensor::mutable_data()` allocates the memroy. In particular, [`Tensor::mutable_data`](https://github.com/caffe2/caffe2/blob/v0.7.0/caffe2/core/tensor.h#L523) calls [`Tensor::raw_mutable_data`](https://github.com/caffe2/caffe2/blob/v0.7.0/caffe2/core/tensor.h#L459), which in turn calls [`Context::New`](https://github.com/caffe2/caffe2/blob/v0.7.0/caffe2/core/tensor.h#L479). +In Caffe2, `Tensor::mutable_data()` allocates the memory. In particular, [`Tensor::mutable_data`](https://github.com/caffe2/caffe2/blob/v0.7.0/caffe2/core/tensor.h#L523) calls [`Tensor::raw_mutable_data`](https://github.com/caffe2/caffe2/blob/v0.7.0/caffe2/core/tensor.h#L459), which in turn calls [`Context::New`](https://github.com/caffe2/caffe2/blob/v0.7.0/caffe2/core/tensor.h#L479). There are two implementations of `Context`: diff --git a/docs/design/memory/memory_optimization.md b/docs/design/memory/memory_optimization.md index ba5f7c14efb..2070ef6d873 100644 --- a/docs/design/memory/memory_optimization.md +++ b/docs/design/memory/memory_optimization.md @@ -197,7 +197,7 @@ After op1, we can process variable b and variable c; After op2, we can process v #### memory sharing policy -A memory pool will be mantained in the stage of memory optimization. Each operator node will be scanned to determine memory optimization is done or not. If an operator satisfies the requirement, following policy will be taken to handle input/output variables. +A memory pool will be maintained in the stage of memory optimization. Each operator node will be scanned to determine memory optimization is done or not. If an operator satisfies the requirement, following policy will be taken to handle input/output variables. ``` if op.support_inplace(): diff --git a/docs/design/mkldnn/gru/gru.md b/docs/design/mkldnn/gru/gru.md index bfd4bfa7918..60c9fa250c3 100644 --- a/docs/design/mkldnn/gru/gru.md +++ b/docs/design/mkldnn/gru/gru.md @@ -99,12 +99,12 @@ Because oneDNN assumes that all sentences are of equal length, before reorder, w ![](images/input_is_reverse.svg) * PaddlePaddle WeightX -> oneDNN WeightX\ -WeightX does not need custom reorders because memory arrangement is the same for both PP and oneDNN. However, it has to be modified if `origin_mode==false` by mulitplying update gate part by `-1`. At the end, oneDNN reorder is called to convert weights to correct type and strides selected by primitive. +WeightX does not need custom reorders because memory arrangement is the same for both PP and oneDNN. However, it has to be modified if `origin_mode==false` by multiplying update gate part by `-1`. At the end, oneDNN reorder is called to convert weights to correct type and strides selected by primitive. * PaddlePaddle WeightH -> oneDNN WeightH\ WeightH tensor has different representation in PP and oneDNN. PaddlePaddle stores it as 2 connected blocks of memory, where first contains reset and update gate recurrent weights, and second stores output gate recurrent weights. In oneDNN, these weights are stored in a single memory block of size `[OC, 3, OC]`. Therefore, custom reorder is needed here. After that, if `origin_mode==false`, update gate part is multiplied by `-1`. At the end, oneDNN reorder is called to convert weights to correct type and strides selected by primitive. ![](images/different_tensor_memory_arrangement.svg) * PaddlePaddle Bias -> oneDNN Bias\ -Bias does not require reorder from PP to oneDNN. However, if it is not provided by user, it has to be created and filled with `0.0f` because oneDNN requires it. If it was provided, it has to be modified when `origin_mode==false` by mulitplying update gate part by `-1`. Note: bias is always of `float` data type, even in `int8` and `bfloat16` kernels. +Bias does not require reorder from PP to oneDNN. However, if it is not provided by user, it has to be created and filled with `0.0f` because oneDNN requires it. If it was provided, it has to be modified when `origin_mode==false` by multiplying update gate part by `-1`. Note: bias is always of `float` data type, even in `int8` and `bfloat16` kernels. * oneDNN TNC/NTC -> PaddlePaddle Output LoD\ After execution of oneDNN GRU primitive, output tensor has to be converted back to PP representation. It is done in the same way as input reorder but in a reverse manner. diff --git a/docs/design/others/graph.md b/docs/design/others/graph.md index e0b71950898..e7f1f3015ad 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 metaphore 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 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. A Block keeps operators in an array `BlockDesc::ops` diff --git a/docs/dev_guides/custom_device_docs/memory_api_en.md b/docs/dev_guides/custom_device_docs/memory_api_en.md index 5fe6bcf9c21..f184a299bcb 100644 --- a/docs/dev_guides/custom_device_docs/memory_api_en.md +++ b/docs/dev_guides/custom_device_docs/memory_api_en.md @@ -180,7 +180,7 @@ It copies synchronous memory in the device. device - the device to be used -dst - the address of the destination device memroy +dst - the address of the destination device memory src - the address of the source device memory diff --git a/docs/eval/evaluation_of_docs_system.md b/docs/eval/evaluation_of_docs_system.md index 04a5c0426d6..9f9a0a550cf 100644 --- a/docs/eval/evaluation_of_docs_system.md +++ b/docs/eval/evaluation_of_docs_system.md @@ -271,7 +271,7 @@ TensorFlow 的文档规划，比较直接地匹配了本文所介绍的分类标 - Training Transformer models using Pipeline Parallelism - Training Transformer models using Distributed Data Parallel and Pipeline Parallelism - Distributed Training with Uneven Inputs Using the Join Context Manager -- Moible +- Mobile - Image Segmentation DeepLabV3 on iOS - Image Segmentation DeepLabV3 on Android - Recommendation Systems diff --git "a/docs/eval/\343\200\220Hackathon No.69\343\200\221PR.md" "b/docs/eval/\343\200\220Hackathon No.69\343\200\221PR.md" index a631f9bc315..0aa7281e6f3 100644 --- "a/docs/eval/\343\200\220Hackathon No.69\343\200\221PR.md" +++ "b/docs/eval/\343\200\220Hackathon No.69\343\200\221PR.md" @@ -97,7 +97,7 @@ torch.tensor(data, 在 paddle.to_tensor 中，stop_gradient 表示是否阻断梯度传导，PyTorch 的 requires_grad 表示是否不阻断梯度传导。 -在 torch.tensor 中，pin_memeory 表示是否使用锁页内存，而 PaddlePaddle 却无此参数。 +在 torch.tensor 中，pin_memory 表示是否使用锁页内存，而 PaddlePaddle 却无此参数。 ------ diff --git a/docs/faq/train_cn.md b/docs/faq/train_cn.md index b8bc46bf421..101ef735c24 100644 --- a/docs/faq/train_cn.md +++ b/docs/faq/train_cn.md @@ -8,7 +8,7 @@ ##### 问题：请问`paddle.matmul`和`paddle.multiply`有什么区别？ -+ 答复：`matmul`支持的两个 tensor 的矩阵乘操作。`muliply`是支持两个 tensor 进行逐元素相乘。 ++ 答复：`matmul`支持的两个 tensor 的矩阵乘操作。`multiply`是支持两个 tensor 进行逐元素相乘。 ---------- diff --git a/docs/guides/model_convert/convert_from_pytorch/api_difference/composite_implement/torch._assert.md b/docs/guides/model_convert/convert_from_pytorch/api_difference/composite_implement/torch._assert.md index 3cca37f9bee..ee3653dd110 100644 --- a/docs/guides/model_convert/convert_from_pytorch/api_difference/composite_implement/torch._assert.md +++ b/docs/guides/model_convert/convert_from_pytorch/api_difference/composite_implement/torch._assert.md @@ -9,8 +9,8 @@ Paddle 无此 API，需要组合实现。 ### 转写示例 ```python # PyTorch 写法 -torch._assert(condition=1==2, message='error messege') +torch._assert(condition=1==2, message='error message') # Paddle 写法 -assert 1==2, 'error messege' +assert 1==2, 'error message' ``` diff --git a/docs/guides/model_convert/convert_from_pytorch/api_difference/composite_implement/torch.testing.assert_allclose.md b/docs/guides/model_convert/convert_from_pytorch/api_difference/composite_implement/torch.testing.assert_allclose.md index 04acf4c9807..f5be070c18d 100644 --- a/docs/guides/model_convert/convert_from_pytorch/api_difference/composite_implement/torch.testing.assert_allclose.md +++ b/docs/guides/model_convert/convert_from_pytorch/api_difference/composite_implement/torch.testing.assert_allclose.md @@ -9,8 +9,8 @@ Paddle 无此 API，需要组合实现。 ### 转写示例 ```python # PyTorch 写法 -torch.testing.assert_allclose(actual, expected, rtol=rtol, atol=atol, equal_nan=True, msg='error messege') +torch.testing.assert_allclose(actual, expected, rtol=rtol, atol=atol, equal_nan=True, msg='error message') # Paddle 写法 -assert paddle.allclose(actual, expected, rtol=rtol, atol=atol, equal_nan=True).item(), 'error messege' +assert paddle.allclose(actual, expected, rtol=rtol, atol=atol, equal_nan=True).item(), 'error message' ``` diff --git a/docs/guides/model_convert/convert_from_pytorch/api_difference/composite_implement/torch.testing.assert_close.md b/docs/guides/model_convert/convert_from_pytorch/api_difference/composite_implement/torch.testing.assert_close.md index b1dbc17388f..e7324436d3a 100644 --- a/docs/guides/model_convert/convert_from_pytorch/api_difference/composite_implement/torch.testing.assert_close.md +++ b/docs/guides/model_convert/convert_from_pytorch/api_difference/composite_implement/torch.testing.assert_close.md @@ -9,8 +9,8 @@ Paddle 无此 API，需要组合实现。 ### 转写示例 ```python # PyTorch 写法 -torch.testing.assert_close(actual, expected, rtol=rtol, atol=atol, equal_nan=True, msg='error messege') +torch.testing.assert_close(actual, expected, rtol=rtol, atol=atol, equal_nan=True, msg='error message') # Paddle 写法 -assert paddle.allclose(actual, expected, rtol=rtol, atol=atol, equal_nan=True).item(), 'error messege' +assert paddle.allclose(actual, expected, rtol=rtol, atol=atol, equal_nan=True).item(), 'error message' ``` diff --git a/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.load.md b/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.load.md index 6b7423bde0d..358a9da4ab2 100644 --- a/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.load.md +++ b/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.load.md @@ -26,6 +26,6 @@ PyTorch 相比 Paddle 支持更多其他参数，具体如下： | map_location | - | 表示如何重新映射存储位置，Paddle 无此参数，暂无转写方式。 | | pickle_module | - | 表示用于 unpickling 元数据和对象的模块，Paddle 无此参数，暂无转写方式。 | | weights_only | - | 指示 unpickler 是否应限制为仅加载张量、原始类型和字典，Paddle 无此参数，暂无转写方式。 | -| pickle_load_args | - | 传递给 pickle_module.load（）和 pickle_mdule.Unpickler（）的可选关键字参数，Paddle 无此参数，暂无转写方式。 | +| pickle_load_args | - | 传递给 pickle_module.load（）和 pickle_module.Unpickler（）的可选关键字参数，Paddle 无此参数，暂无转写方式。 | | mmap | - | 指示是否使用 mmap 文件，Paddle 无此参数，暂无转写方式。 | | - | configs | 表示其他用于兼容的载入配置选项。PyTorch 无此参数，Paddle 保持默认即可。 | diff --git a/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.scalar_tensor.md b/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.scalar_tensor.md index a6883f5326d..351a7499ae9 100644 --- a/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.scalar_tensor.md +++ b/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.scalar_tensor.md @@ -27,7 +27,7 @@ PyTorch 相比 Paddle 支持更多其他参数，具体如下： | layout | - | 数据布局格式，Paddle 无此参数。一般对训练结果影响不大，可直接删除。 | | device | place | 表示 Tensor 存放设备位置，两者参数类型不相同，需要转写。 | | requires_grad | stop_gradient | 表示是否计算梯度， 两者参数意义不相同，Paddle 输入与 PyTorch 逻辑相反。需要转写。 | -| pin_memeory | - | 表示是否使用锁页内存， Paddle 无此参数，需要转写。 Paddle 需要对结果使用 padlde.Tensor.pin_memory()。 | +| pin_memory | - | 表示是否使用锁页内存， Paddle 无此参数，需要转写。 Paddle 需要对结果使用 padlde.Tensor.pin_memory()。 | ### 转写示例 #### device: Tensor 的设备 diff --git a/docs/guides/model_convert/convert_from_pytorch/deprecated/pytorch_api_mapping_format_cn_deprecated.md b/docs/guides/model_convert/convert_from_pytorch/deprecated/pytorch_api_mapping_format_cn_deprecated.md index 05542fb4159..b5f1ea76844 100644 --- a/docs/guides/model_convert/convert_from_pytorch/deprecated/pytorch_api_mapping_format_cn_deprecated.md +++ b/docs/guides/model_convert/convert_from_pytorch/deprecated/pytorch_api_mapping_format_cn_deprecated.md @@ -273,7 +273,7 @@ PyTorch 相比 Paddle 支持更多其他参数，具体如下：（注：这里 | device | - | 表示 Tensor 存放设备位置，Paddle 无此参数，需要转写。 | | requires_grad | - | 表示是否计算梯度， Paddle 无此参数，需要转写。 | | memory_format | - | 表示内存格式， Paddle 无此参数，一般对网络训练结果影响不大，可直接删除。 | -| pin_memeory | - | 表示是否使用锁页内存， Paddle 无此参数，需要转写。 | +| pin_memory | - | 表示是否使用锁页内存， Paddle 无此参数，需要转写。 | | generator | - | 用于采样的伪随机数生成器， Paddle 无此参数，一般对网络训练结果影响不大，可直接删除。 | | size_average | - | PyTorch 已弃用， Paddle 无此参数，需要转写。 | | reduce | - | PyTorch 已弃用， Paddle 无此参数，需要转写。 | diff --git a/docs/guides/model_convert/convert_from_pytorch/pytorch_api_mapping_format_cn.md b/docs/guides/model_convert/convert_from_pytorch/pytorch_api_mapping_format_cn.md index 5c56759ddb3..4ee9a848b7d 100644 --- a/docs/guides/model_convert/convert_from_pytorch/pytorch_api_mapping_format_cn.md +++ b/docs/guides/model_convert/convert_from_pytorch/pytorch_api_mapping_format_cn.md @@ -259,7 +259,7 @@ PyTorch 相比 Paddle 支持更多其他参数，具体如下：（注：这里 | device | - | 表示 Tensor 存放设备位置，Paddle 无此参数，需要转写。 | | requires_grad | - | 表示是否计算梯度， Paddle 无此参数，需要转写。 | | memory_format | - | 表示内存格式， Paddle 无此参数，一般对网络训练结果影响不大，可直接删除。 | -| pin_memeory | - | 表示是否使用锁页内存， Paddle 无此参数，需要转写。 | +| pin_memory | - | 表示是否使用锁页内存， Paddle 无此参数，需要转写。 | | generator | - | 用于采样的伪随机数生成器， Paddle 无此参数，一般对网络训练结果影响不大，可直接删除。 | | size_average | - | PyTorch 已弃用， Paddle 无此参数，需要转写。 | | reduce | - | PyTorch 已弃用， Paddle 无此参数，需要转写。 | From 1fa7362a7804096cf5402749d9d64ebc5819e4c5 Mon Sep 17 00:00:00 2001 From: ooo oo <106524776+ooooo-create@users.noreply.github.com> Date: Tue, 11 Nov 2025 19:59:26 +0800 Subject: [PATCH 2/2] Update docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.scalar_tensor.md Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> --- .../api_difference/torch_more_args/torch.scalar_tensor.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.scalar_tensor.md b/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.scalar_tensor.md index 351a7499ae9..9aac49e80a8 100644 --- a/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.scalar_tensor.md +++ b/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.scalar_tensor.md @@ -27,7 +27,7 @@ PyTorch 相比 Paddle 支持更多其他参数，具体如下： | layout | - | 数据布局格式，Paddle 无此参数。一般对训练结果影响不大，可直接删除。 | | device | place | 表示 Tensor 存放设备位置，两者参数类型不相同，需要转写。 | | requires_grad | stop_gradient | 表示是否计算梯度， 两者参数意义不相同，Paddle 输入与 PyTorch 逻辑相反。需要转写。 | -| pin_memory | - | 表示是否使用锁页内存， Paddle 无此参数，需要转写。 Paddle 需要对结果使用 padlde.Tensor.pin_memory()。 | +| pin_memory | - | 表示是否使用锁页内存， Paddle 无此参数，需要转写。 Paddle 需要对结果使用 paddle.Tensor.pin_memory()。 | ### 转写示例 #### device: Tensor 的设备