pad方法支持circular模式

[vincentmmc]

你好，请问什么时候pad方法可以支持circular模式？

[vincentmmc]

@lijunliangTG

[lijunliangTG]

您好，请问是在什么场景下用到这个模式呢？为什么需要这个模式？

[vincentmmc]

您好，请问是在什么场景下用到这个模式呢？为什么需要这个模式？

你好，我是要实现一个无缝铺贴功能用到的这个模式，代码参考：https://github.com/tjm35/asymmetric-tiling-sd-webui/blob/main/scripts/asymmetric_tiling.py 第88、89行。
感谢回复~@lijunliangTG

[vincentmmc]

@lijunliangTG

[lijunliangTG]

请问您用的是什么模型，我这里复现一下

[lijunliangTG]

WARNING [2024-06-24 02:04:27] /data/home/lijunliang/project/onediff/src/onediff/utils/log_utils.py:33 - Logging handlers already exist for ONEDIFF
Pydantic version 1.10.11 is too low, please upgrade to 2.5.2 or higher.
ERROR [2024-06-24 02:04:28] /data/home/lijunliang/project/onediff/src/onediff/infer_compiler/backends/oneflow/transform/builtin_transform.py:221 - convert <class 'function'> failed: Transform failed of <class 'function'>: 'function' object has no attribute '<locals>'

ERROR [2024-06-24 02:04:28] /data/home/lijunliang/project/onediff/src/onediff/infer_compiler/backends/oneflow/deployable_module.py:38 - Exception in forward: e=NotImplementedError("Transform failed of <class 'ldm.modules.diffusionmodules.openaimodel.UNetModel'>: Transform failed of <class 'torch.nn.modules.container.ModuleList'>: Transform failed of <class 'ldm.modules.diffusionmodules.openaimodel.TimestepEmbedSequential'>: Transform failed of <class 'torch.nn.modules.conv.Conv2d'>: Unsupported type: <class 'function'>")
WARNING [2024-06-24 02:04:28] /data/home/lijunliang/project/onediff/src/onediff/infer_compiler/backends/oneflow/deployable_module.py:39 - Recompile oneflow module ...
ERROR [2024-06-24 02:04:29] /data/home/lijunliang/project/onediff/src/onediff/infer_compiler/backends/oneflow/transform/builtin_transform.py:221 - convert <class 'function'> failed: Transform failed of <class 'function'>: 'function' object has no attribute '<locals>'

当我复现时遇到了上面的情况 模型为sd1.5 ，请问您遇到的是否为这个情况

[vincentmmc]

@lijunliangTG 我遇到的情况是我想用oneflow.nn.functional.pad的circular mode但是oneflow提示还不支持，我想问这个模式有没有计划支持？

以下是我的调试代码
`import torch
import oneflow

torch_ts = torch.randn((1,1,2,3))
torch_ts_circular = torch.nn.functional.pad(torch_ts,(1,1,0,0),mode='circular')
print(torch_ts)
print(torch_ts_circular)

oneflow_ts = oneflow.randn((1,1,2,3))
oneflow_ts_circular = oneflow.nn.functional.pad(oneflow_ts,(1,1,0,0),mode='circular')
print(oneflow_ts)
print(oneflow_ts_circular)`

以下是输出结果
`tensor([[[[ 1.2974, -0.3249, -0.2213],
[-0.1191, -0.4286, 2.3114]]]])

tensor([[[[-0.2213, 1.2974, -0.3249, -0.2213, 1.2974],
[ 2.3114, -0.1191, -0.4286, 2.3114, -0.1191]]]])

Traceback (most recent call last):
File "pad_func_test.py", line 10, in
oneflow_ts_circular = oneflow.nn.functional.pad(oneflow_ts,(1,1,0,0),mode='circular')
File "/data1/python_envs/diffusers/lib/python3.8/site-packages/oneflow/nn/functional/pad.py", line 102, in pad
raise NotImplementedError(
NotImplementedError: 2D circular padding are not supported for now`

[lijunliangTG]

我正在尝试实现

[vincentmmc]

我正在尝试实现

thanks~~

[vincentmmc]

你好，请问有进展吗？@lijunliangTG

[lijunliangTG]

目前前向传播的代码基本实现，请您再稍等几天。

[nono909090]

目前前向传播的代码基本实现，请您再稍等几天。

你好 请问这个问题解决了吗
@lijunliangTG