Tensor: # pylint: disable=too-many-statements, too-many-locals, too-many-branches def __call__(self, attn, hidden_states: torch.Tensor, encoder_hidden_states=None, attention_mask=None, temb=None, *args, **kwargs) -> torch.Tensor: # pylint: disable=too-many-statements, too-many-...
Although this error is similar to cudaErrorInvalidConfiguration, this error usually indicates that the user has attempted to pass too many arguments to the device kernel, or the kernel launch specifies too many threads for the kernel's register count. cudaErrorLaunchTimeout = 702 This indicates...
The user can inspect the local variables of those subroutines and visit the call frame stack as if the routines were not inlined. 4.2 Release Kepler Support The primary change in Release 4.2 of CUDA-GDB is the addition of support for the new Kepler architecture. There are no other user-...
函数中加入minnum和maxnum两个参数,然后重新测试,报错: /home/aistudio/custom_op/clip.cc: In function ‘std::vector<paddle::Tensor> ClipForward(const Tensor&, float, float)’: /home/aistudio/custom_op/clip.cc:74:30: error: too few arguments to function ‘std::vector<paddle::Tensor> clip...
cuda_runtime.h"#include"device_launch_parameters.h"#include<stdio.h>#define CHECK(call) \do...
self.call_function( File "C:\stable-diffusion-webui\venv\lib\site-packages\gradio\blocks.py", line 1103, in call_function prediction = await anyio.to_thread.run_sync( File "C:\stable-diffusion-webui\venv\lib\site-packages\anyio\to_thread.py", line 33, in run_sync return await get_...
error 18: Too many files 文件太多 error 19: Undefined type in pointer def 指针定义中未定义类型 error 20: Variable identifier expected 缺变量标识符 error 21: Error in type 类型错误 error 22: Structure too large 结构类型太长 error 23: Set base type out of range 集合基类型越界 ...
54 * In the test program I'm using, the _outstanding_mallocs decreases with every call. 55 * This suggests there are more free() calls being made than alloc(), but I can't figure out why. 56 * 57 */ 58 int _outstanding_mallocs[] = {0,0}; ...
NVIDIA® CUDA™ is a general purpose parallel computing architecture that leverages the parallel compute engine in NVIDIA graphics processing units (GPUs) to solve many complex computational problems in a fraction of the time required on a CPU. ...
__syncthreads. The function takes no arguments and has no return value. It ensures that all threads of the block are synchronized at the point of the function call prior to proceeding. Using the__syncthreadsfunction, we can ensure that threads do not race for a__shared__variable. See ...