Torch Frombuffer. frombuffer`错误，发现是由于transformers版本过高。解决

frombuffer`错误，发现是由于transformers版本过高。解决方案是降级transformers到3. Additionally, it provides many utilities for efficient serialization of Tensors and arbitrary types, and other useful utilities. __array_interface__ and torch. ) state_dict ["{}. train else self. 6. 把 Python 缓冲区创建的的对象变成一维 Tensor，Paddle 无此 API，需要组合实现。飞桨致力于让深度学习技术的创新与应用更简单。具有以下特点：同时支持动态图和静态图，兼顾灵活性和效率 numpy. Skips the first offset bytes in the buffer, and interprets the rest of the raw bytes as a 1-dimensional tensor of type dtype with count elements. Factory calls will be performed as if they were passed device as an argument. buf, dtype=dtype). frombuffer() using a shared_memory buffer with multiprocessing. frombuffer(shm. frombuffer(buffer, *, dtype, count=-1, offset=0, requires_grad=False) → Tensor 从实现 Python 缓冲协议的对象创建一维 Tensor。跳过缓冲区中前 offset 字节，并将剩余的原始字节解释为类型为 dtype 的一维张量，包含 count 个元素。请注意，以下任一条件必须成立： 1. frombuffer (a, dtype=torch. max_len - Maximum length of a sequence to expect Implement a ChatGPT-like LLM in PyTorch from scratch, step by step - rasbt/LLMs-from-scratch Nov 12, 2025 · 文章浏览阅读3. format (k)] = torch. load(os. torch. Given a file io binary buffer I would like to construct a tensor from the raw bytes, in some shape and in some offset without loading it into numpy, but instead directly into torch and tensorflow. reshape(a, b (Triggered internally at C:\actions - runner\_work\pytorch\pytorch\pytorch\torch\csrc\utils\tensor_new. 10. register_parameter is used when affine=True. Jul 27, 2023 · I'm trying to make a backend where I can upload an audio file and use the whisper ai to transcribe it but transcribe accepts type np. py import torch import ctypes def frombuffer (bytes, dtype, byte_order = 'native'): dtype2tensor = dict (int16 = torch. get_rank()] += 5 dist. cpu() [source] # Move all model parameters and buffers to Robust Speech Recognition via Large-Scale Weak Supervision - whisper/whisper/audio. frombuffer (buffer, *, dtype, count=-1, offset=0, requires_grad=False) → Tensor Creates a 1-dimensional Tensor from an object that implements the Python buffer protocol. data_file = self. 2 is trying to use an attribute that torch 1. imsave, the output is the correct im Aug 31, 2023 · Although you mentioned that torch>=1. 827413- Found quantization metadata version 12025-12- 10T13: 45: 42. 29. Feb 19, 2025 · Hi there! I would like to convert a cupy function to torch: the purpose is to allocate pinned memory once, fill it with data (random size lower than allocated) and transfer it to the GPU. min torch. 1+cu113 and transformers==4. int64 Aug 23, 2023 · AttributeError: module 'torch' has no attribute 'frombuffer' 错误通常表示您正在尝试使用 torch. torch. 把 Python 缓冲区创建的的对象变成一维 Tensor，Paddle 无此 API，需要组合实现。飞桨致力于让深度学习技术的创新与应用更简单。具有以下特点：同时支持动态图和静态图，兼顾灵活性和效率 Feb 18, 2024 · SXT77 commented on Feb 18, 2024 AttributeError: module 'torch' has no attribute 'frombuffer'，只能升级torch到2. 0 or newer. compile(). dtype)ifnotbuffer:# torch. PyTorch workaround for missing frombuffer function Raw byteutils. dumps (v). frombuffer # numpy. Buffers are Tensor subclasses, that have a very special property when used with Module s – when they’re assigned as Module attributes they are Apr 7, 2023 · Hi, I’m seeing issues when sharing CUDA tensors between processes, when they are created using “frombuffer” or “from_numpy” interfaces. Has anyone seen similar behavior? Is this is known issue? Is there maybe a May 5, 2021 · Can someone explain to me what do we mean by buffers in pytorch. frombuffer (json. Best, May 5, 2023 · You could try to use torch. frombuffer # torch. load #442 New issue Closed #510 Aug 1, 2024 · I’m playing with different ways of converting a Python list of integer to a PyTorch array. This is on Windows, CUDA 11. uint8) 2025-12- 10T13: 45: 42. The normal way is torch. 1 from timm import create Buffer # class torch. The function seems to work fine in the main process, but allocates oversized tensors Mar 17, 2025 · torch. what is its characteristics and when we will use that and when we should not use that? If a buffer is basically the same as tensor, Why would I even need a buffer when I can simply create my tensor inside the module? an example would be appreciated!! thanks Sep 26, 2023 · And I think it is due to version mismatch between my torch and transformer package. Parameters: bufferbuffer_like An object that exposes the buffer interface. frombuffer 是一个非常有用的函数，它允许您从一个实现了 Python 缓冲区协议（buffer protocol）的对象（如 bytes, bytearray, 或 memoryview）创建一个 PyTorch 张量（Tensor）。这个操作的特点是它通常是零拷贝（zero-copy）的，意味着它不会复制底层数据，而是直接将张量视图（view）到现有数据缓冲区上。 Aug 29, 2023 · Although you mentioned that torch>=1. tensor() get modified to accept Jul 26, 2022 · AttributeError: module 'torch' has no attribute 'frombuffer' what can i do for this err in Colab python-3. test_file return torch. count 是一个正的非零数字，并且缓冲 Oct 21, 2024 · File “/root/butterfly/ComfyUI/env_wl/lib/python3. Is there a way to load only specific rows based on the provided indices using the current DataLoader? For example, only load [1, 55555, 2673], three rows from that large tensor in the disk to memory? Thanks! Feb 16, 2024 · Failed to load . You still need to use torch 1. float32 occupies 4 bytes Finally, we can use the ctypes. Tensor 与bytes互转 2. We no longer cache the data in a custom binary, but simply read from the raw data # directly. from_dlpack(x, /, *, device=None, copy=None) # Create a NumPy array from an object implementing the __dlpack__ protocol. I notice that they use self. training. frombuffer method pytorch/pytorch#59077 We should use it to simplify our code whenever possible, instead of relying on alternatives like torch. reshape(tensor_shape) # Modify the shared tensor if global_rank == 0: shared_tensor[dist. count 为正且非零，并且 buffer 中的总字节 import torch print (torch. Generally, the returned NumPy array is a read-only view of the input object. frombuffer what you want or are you asking for something else? Mar 10, 2012 · The contents of op_run. Size([30000000]). Timm 0. 831411- Using Oct 5, 2023 · 🚀 The feature Hey there, For optimisation reasons, I am reading the bytes for a given JPEG image. frameBytes = rgbFile. 1 from timm import create Datasets, Transforms and Models specific to Computer Vision - pytorch/vision torch. from_numpy(np. May 9, 2022 · 本文介绍了如何使用PyTorch将浮点型张量高效转换为整数型张量的方法，包括利用view、frombuffer及memoryview等不同方式，并讨论了它们在GPU与CPU上的适用性。场景描述：通过张量操作将一个float类型地张量转换成int32类型的张量，实际存储在内存中的比特不变。 >>> t = torch. Module): def __init__(self, d_model, max_len=5000): """ Inputs d_model - Hidden dimensionality of the input. join(self. When i am trying to reshape the tensor to (H,W,C) I am getting the following error 文章浏览阅读2. nn. 0, it is a bug in your vsgan Yes it said that for old versions and has since been updated. countint, optional Number of items to read. 0. cpp: 1583. imsave, the output is the correct im Jun 19, 2024 · 🐛 Describe the bug When I run: file = open('/tmp/big. May 5, 2023 · You could try to use torch. 0以上才行吗 The text was updated successfully, but these errors were encountered: Assignees No one assigned Sep 30, 2021 · Just removing torch. __array_struct__ attributes to fully support the CPU Array Interfaced. frombuffer(buffer, *, dtype, count=-1, offset=0, requires_grad=False) → Tensor # 从实现 Python buffer 协议的对象创建一个一维 Tensor。跳过 buffer 中的前 offset 字节，并将剩余的原始字节解释为指定 dtype 类型、包含 count 个元素的⼀维张量。注意，以下条件之一必须满足： 1. My transformer module 4. frombuffer can be used to create a tensor from this buffer. Oct 7, 2021 · PyTorch recently introduced a torch. frombuffer) If the `frombuffer` function is not present in the `torch` module, you can try updating the `torch` module to the latest version. close () before frombuffer () or not. frombuffer torch. count (int, optional) – the number of desired elements to be read. frombuffer () includes a unused "device" argument (in pyi file) which is generated by https://github. frombuffer () method #114345 Open mg104 opened this issue 7 hours ago · 0 comments mg104 commented 7 hours ago • Feb 5, 2021 · Recommendations Implement torch. frombuffer 是 PyTorch 中的一个函数，用于从缓冲区（buffer）创建一个张量（tensor）。这个函数允许你将一个已有的内存缓冲区（如 NumPy 数组、字节数组 Apr 26, 2024 · The first answer almost works, but torch. frombuffer() 方法是在 PyTorch 1. compile() for details on the arguments for this function. Sep 24, 2024 · 源码 https://github. frombuffer() 将其转换为十进制格式的文件，这是一维数组。然后可以使用 cv2. read() mytensor = torch. copy () by the end of the np Nov 14, 2025 · In PyTorch, buffers are an essential yet often overlooked feature. io. frombuffer but note that the object needs to implement the buffer protocol. 9. -1 means all data in the buffer. frombuffer doesn't support using device-side buffers. topk ObserverBase MinMaxObserver MovingAverageMinMaxObserver PerChannelMinMaxObserver Oct 5, 2023 · I am creating a tensor using torch. float32). aux_buffers[data]ifisinstance(data,int)elsebytearray(data)torch_dtype=getattr(torch,dtype)assertisinstance(torch_dtype,torch. Thank you What I'm doing right now is to use numpy. frombuffer(file_bytes, dtype=torch. py”, line 298, in create_arg raise NotImplementedError (f"argument of type: {type (a)}") Dec 3, 2025 · torch. frombuffer 来实现。 Jul 14, 2023 · For example, torch. 2 safetensors==0. to_array(t) as well may vary because it is actually an uninitialized array. Tensor）。可以使用 numpy. can you please help me with the exact version as the Oct 21, 2023 · AttributeError: module 'torch_npu' has no attribute '_isinstance' Analysing #I89SSZ Bug-Report liyifango Aug 14, 2023 · @superpigforever, is torch. Nov 22, 2023 · Incorrect line in description of torch. See [1] and [2] for more details. dlpack. >>> # Each 4 signed char elements will be interpreted as >>> # 1 signed 32-bit integer. i tried with untyped_storage but I failed creating a tensor pointing to the data_ptr of a pinned tensor and view is not possible because of shape incompatibility. devicedevice, optional Device on which Jan 28, 2022 · on Jan 28, 2022 Owner the document said vsgan only need torch 1. bin', 'rb') file_bytes = file. Jul 3, 2021 · The tensor constructor doesn’t accept the ‘bytes’ data type, so when I read raw image data from a file, I wind up going through numpy frombuffer just to get it into an acceptable format. you didnt fix the issue and close the issue, why I provided you the solution already, update torch to 1. Jun 25, 2020 · 读取到的图片数据为二进制格式，所以先使用 np. Tensor 假设你有一个二进制数据（bytes），你想将其转换为 PyTorch 的张量（torch. 0 does. from_buffer (bytes, byte_order = byte_order)) Python PyTorch frombuffer用法及代码示例相关用法 Python PyTorch from_numpy用法及代码示例 Python PyTorch frexp用法及代码示例 Python PyTorch However, if you try to use the `frombuffer` function and you get an `AttributeError: module ‘torch’ has no attribute ‘frombuffer’`, this means that the `frombuffer` function is not available in the version of Torch that you are using. 0 ~ torch 1. When I save it as an *. training_file if self. raster_model. frombuffer does not exist, and torch 2. ) And what does the file buffer’s writability have to do with the tensor’s writability? Feb 22, 2023 · What I do is make an MFCC from the audio that feed it to the model. It has a CUDA counterpart, that enables you to run your tensor We would like to show you a description here but the site won’t allow us. frombuffer() function which is developed after torch version 1. resize_ torch. float32; 类标签labels需要转成torch. Mar 26, 2024 · I have an image x (as a torch. string_at(address, size=-1) function to read the tensor as a C-style string (buffer), and torch. com/pytorch/pytorch/blob/main/tools 文章浏览阅读1. to_array_extended(t) and in 1. set_default_device # torch. This does not affect factory function calls which are called with an explicit device argument. frombuffer implementation, which returns a READ-ONLY numpy array (probably a const allocated array on C-side) so you need to make a copy of this buffer in order to allow torch to modify it and wrap the Tensor around it. buffer=self. 11/site-packages/torch/fx/proxy. frombuffer 是 PyTorch 中的一个函数，用于从缓冲区（buffer）创建一个张量（tensor）。这个函数允许你将一个已有的内存缓冲区（如 NumPy 数组、字节数组以下是一些常见的转换方法。二、 torch. class PositionalEncoding(nn. read(frameSize) frameTensor = torch. RasterModel' : module 'torch' has no attribute 'frombuffer' It seems that the torch attribute is not reachable. They are useful for storing values that need to be saved and restored along with the model but are not updated during the training process. tensor ( [1, 2, 3, 4], dtype=torch. asarray(obj: Any, *, dtype: Optional[dtype], device: Optional[DeviceLikeType], copy: Optional[bool] = None, requires_grad: bool = False) → Tensor # Converts obj to a tensor. 3. q_scale torch. offsetint, optional Jul 23, 2022 · 🐛 Describe the bug Hi, I am trying to use torch. frombuffer what you want or are you asking for something else? Aug 24, 2022 · I know it's kind of a late response but, this is a problem with np. 7. FloatTensor Is there a way to directly copy data from numpy into PyTorch without triggering the original warning? Jun 26, 2023 · AttributeError: Error instantiating 'nuplan. To Reproduce torch version 1. See torch. frombuffer in safetensors. Mar 17, 2025 · torch. frombuffer() 方法，但该方法在您当前安装的 PyTorch 版本中不存在。 torch. dtype) – the desired data type of returned tensor. Check that the `frombuffer` function is accessible from your current code. frombuffer」…それは、データという名の荒れ狂う海原から、我らが頼れるテンソルという船を築き上げるための、まるで古代の錬金術のような技だ！簡単に言えば、メモリ上のどこかに眠っている生のデータ（バイト列とかね）を、「よし、これでテンソルを作ろう！」とPyTorchに教えて 🐛 Describe the bug torch. as_tensor(obj) should succeed when obj implements the CPU Array Interface but is not NumPy ndarray nor PyTorch Tensor object. q_per_channel_scales torch. 0 is supported, I found in the official torch 1. register_buffer to create the weight and bias, while, in the pytorch BN definition, self. frombuffer(t. 8, Pytorch 2. int8) print (tensor) PyTorch中的frombuffer方法简介在PyTorch中，frombuffer方法是一个用于从缓冲区创建张量的函数。这个方法可以 Mar 13, 2024 · A torch tensor is a full-fledged Python object that has a great deal of state information, part of which is a wrapper to a non-Python memory stream that contains numeric data. frombuffer (data, dtype=torch. Jul 27, 2025 · 「torch. 13. sort torch. py at main · openai/whisper And also make Torch# not complain about a readonly memoryview. asarray # torch. tensor(np. utils. 1 bytes 转 torch. read_image () expects a file path as input. frombuffer(buffer, *, dtype, count=- 1, offset=0, requires_grad=False) → Tensor Creates a 1-dimensional Tensor from an object that implements the Python buffer protocol. com/webabcd/PytorchDemo 作者 webabcd 日新月异 PyTorch - pytorch 基础: 张量的基础操作示例如下: basic\demo01. from_pretrained（）函数。已知‘frombuffer’属性只有在torch2. set_default_device(device) [source] # Sets the default torch. dtypedata-type, optional Data-type of the returned array. from dtype (torch. The following example configures StreamWriter to expect Tensor of torch. ShortStorage) return dtype2tensor [dtype] (dtype2storage [dtype]. constraints: no more memory allocations than Nov 13, 2023 · I have an extremely large tensor in my disk whose dimension is [3000000, 128, 768], it cannot be loaded entirely into memory at once because the code crashed. 10后才有啊 #17 Closed Issac304 opened on Jan 5, 2025 torch. ndarray and the audio files are in bytes I'm not sure how can I May 13, 2021 · I’m working through a tutorial on transformers (Tutorial 6: Transformers and Multi-Head Attention — UvA DL Notebooks v1. frombuffer(). numpy_helper. 0？ torch' has no attribute 'frombuffer'这个属性好像1. py # 本例用于演示 torch 张量的基础操作，其操作与 numpy 基本相同（注 Jun 19, 2023 · AttributeError: module 'torch' has no attribute 'frombuffer' #10 New issue Closed hmhm1190 把 Python 缓冲区创建的的对象变成一维 Tensor，Paddle 无此 API，需要组合实现。PaddlePaddle provides multitudes of tools and tut Given a file io binary buffer I would like to construct a tensor from the raw bytes, in some shape and in some offset without loading it into numpy, but instead directly into torch and tensorflow. Could I simply think that buffer and parameter have everything in common except that buffer will neglect the operations to compute grad and update its values Return type Iterator [Module] compile(*args, **kwargs) [source] # Compile this Module’s forward using torch. raw_data, bfloat16), i. >>> import array >>> a = array. planning. from_dlpack # numpy. 17. 5k次，点赞23次，收藏20次。本文主要介绍了Pytorch中Tensor的相关操作API，详细阐述了多种Tensor创建方式，如TENSOR、SPARSE_COO_TENSOR、SPARSE_CSR_TENSOR等，还说明了各创建方法的参数及使用注意事项，为使用Pytorch进行开发提供了参考。 We would like to show you a description here but the site won’t allow us. 8. If negative, all the elements (until the end of the buffer) will be read. get_rank()] -= 2 dist Jun 19, 2020 · I can load a tensor from file like this: X = torch. This Module’s __call__ method is compiled and all arguments are passed as-is to torch. exr-file, using imageio. 因为torch在处理图像时要求数据的shape是 (batch_size, channels, height, weight), 所以必须增加一个通道的维度 (3) images的数据格式是uint8, 在变成torch. py的Python文件与PyTorch库冲突。作者分享了解决方案，即重命名冲突文件，并提醒新手避免将文件命名为可能与Python库相同的名称。 Oct 20, 2023 · Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills . LongTensor. Dec 21, 2018 · I was reading the code of mask-rcnn to see how they fix their bn parameters. path. Jun 19, 2024 · Why is the file buffer not writable? (It gives this warning regardless if I run file. Expected behavior In all cases the conversion results should be the same as np. models. But I can’t load dataset fully due to memory limits. frombuffer ()方法，但该方法在当前版本的torch中不存在 We’re on a journey to advance and democratize artificial intelligence through open source and open science. Tensor to be allocated on device. from_numpy results in the following error: TypeError: can’t assign a numpy. float32, you can provide format option to change the expected data type. string_at(address, size=-1) 函数就可以读取这个张量为 C 的字符串（buffer），而 torch. train else 't10k'}-images-idx3-ubyte" data = read_image_file(os Sep 7, 2024 · Getting this error even after upgrading torch to torch==1. 2 documentation) and I came across this block of code about positional encoding. frombuffer 可以从一个 buffer 创建出 tensor 通过上面几个步骤，我们就可以还原出 Pytorch 底层的数组表示，下面命名为 print_internal 函数 We would like to show you a description here but the site won’t allow us. 0 does not have. load(filename) This tensor has a shape torch. float64. int16 type. parameter. Tensor. For example, BatchNorm’s running_mean is not a parameter, but is part of the module’s state. x pytorch asked Jul 26, 2022 at 1:17 서혁준 torch. Note that either of the following must be true: 1. q_zero_point torch. q_per_channel_zero_points torch. Buffer(data=None, *, persistent=True) [source] # A kind of Tensor that should not be considered a model parameter. To do this, make sure that you have imported the `torch` module in the correct way. frombuffer(frameBytes, dtype=np. 3k次，点赞7次，收藏9次。作者在尝试导入BERT权重时遇到`torch. 0 版本中引入的。如果您使用的是较早版本的 PyTorch，该方法可能不可用。 Jul 21, 2023 · 🚀 The feature Currently torchvision. Tensor之后, 需要转成单精度torch. frombuffer 或 torch. frombuffer(buffer, dtype=float, count=-1, offset=0, *, like=None) # Interpret a buffer as a 1-dimensional array. 1 that of onnx. 2 use torch. barrier() shared_tensor[dist. frombuffer(buffer, *, dtype, count=-1, offset=0, requires_grad=False) → Tensor # Creates a 1-dimensional Tensor from an object that implements the Python buffer protocol. Dec 16, 2024 · else: # Other ranks connect to the shared memory shm = shared_memory. 0 document that torch. array('b', [-1, 0, 0, 0]) 示例下面是一个使用frombuffer方法创建张量的示例： importtorch # 创建一个字节数组 data=bytearray ( [1,2,3,4,5,6Baidu Nhomakorabea) # 使用frombuffer方法创建张量 tensor=torch. mean torch. uint8), device=dev) Is there a better way to do this, or should torch. 7w次，点赞8次，收藏5次。博客详细记录了作者在初次使用PyTorch时遇到的module‘torch’hasnoattribute‘from_numpy’错误，该问题源于一个名为torch. ShortTensor) dtype2storage = dict (int16 = torch. 0之后才有。_attributeerror: module 'torch' has no attribute 'frombuffer Jun 19, 2023 · AttributeError: module 'torch' has no attribute 'frombuffer' #10 New issue Closed hmhm1190 Aug 14, 2023 · @superpigforever, is torch. How can I load only first 3000 numbers from file? And then second portion of 3000 numbers without full load? 文章浏览阅读1. SharedMemory(name="shared_tensor", create=False) shared_tensor = torch. e. ndarray to a torch. just add . 3. In many practical cases, the image is encoded as bytes It would be nice to have a torchvision method to read this and convert to a tensor Expected behavior Mar 28, 2024 · 文章浏览阅读910次。AttributeError: module 'torch' has no attribute 'frombuffer' 是一个错误提示，意味着在torch模块中没有名为'frombuffer'的属性。这通常是因为你正在尝试使用torch. 3k次，点赞6次，收藏4次。这类问题一般出现在load pretrained model 的时候，即. q_per_channel_axis torch. frombuffer doesn't like empty buffersassert0inshapereturntorch. int32) >>> t tensor([ 1, 2, 3]) >>> t[0] = -1 >>> a array([-1, 2, 3]) >>> # Interprets the signed char bytes as 32-bit integers. It seems like some low lever synchronization might be missing somewhere, and some of the returned tensors are all zeroes. empty(shape,dtype=torch_dtype)# Create uint8 arrayarr Mar 26, 2024 · I have an image x (as a torch. modeling. This blog post aims to provide a comprehensive guide on PyTorch buffers, including their Jan 5, 2025 · 确定是1. encode ('utf-8'), dtype = torch. If the data type of your waveform Tensor is something other than torch. from_numpy as a way to convert the byte data to tensor torch. obj can be one of: a tensor a NumPy array or a NumPy scalar a DLPack capsule an object that implements Python’s buffer protocol a scalar a sequence of scalars When obj is a tensor, NumPy array, or torch # Created On: Dec 23, 2016 | Last Updated On: Jul 22, 2025 The torch package contains data structures for multi-dimensional tensors and defines mathematical operations over these tensors. frombuffer and after I use torch. 2版本。 Jul 14, 2023 · 最后通过 ctypes. from_dlpack(ext_tensor) or torch. The buffer contains image data. safetensors as state dict with error from torch. processed_folder, data_file)) def _load_data(self): image_file = f"{'train' if self. The issue is not on my end. 33. Jul 10, 2023 · Describe the bug A torch version conflict with timm. Default is numpy. count is a positive torch. Parameters: xobject A Python object that implements the __dlpack__ and __dlpack_device__ methods. I would like to be able to deserialize it using torchvision by providing the bytes directly. If I could find a way to covertly change the device property for the tensor, then it might work. Buffers are tensors that are not model parameters but are still part of the model's state. Tensor) of shape (512, 512, 3) (the first dimension being the color channel count). imdecode() 将其转换为灰度图（二维数组）或者彩色图（三维数组）。 leveldb leveldb的使用与lmdb差不多，然而LevelDB 是单进程的服务。 Mar 13, 2024 · A torch tensor is a full-fledged Python object that has a great deal of state information, part of which is a wrapper to a non-Python memory stream that contains numeric data. numpy. comfy_quant".

ivnfg
vhyroby
ly6oywvc
sbh1znrfx
hlj57bl
ox3efh
jiswr
ly9ia
q4bjzsijc
lev5gv5v