[BUG] Getting STATUS_STACK_BUFFER_OVERRUN on any operations

Description

Details regarding the bug

Any operation, including simple arrayfire::info() or Array::new(...) seems to be taking a very long time, and eventually fails with:

error: process didn't exit successfully: `target\debug\examples\af.exe` (exit code: 0xc0000409, STATUS_STACK_BUFFER_OVERRUN)

Did you build ArrayFire yourself or did you use the official installers

I've used official Windows installer for ArrayFire 3.8 with CUDA 11.2 from here: https://arrayfire.s3.amazonaws.com/3.8.0/ArrayFire-v3.8.0-CUDA-11.2.exe.

Which backend is experiencing this issue? (CPU, CUDA, OpenCL)

It's happening on CUDA backend.

Actually, while trying to see which backend is experiencing this issue, I've noticed that docs don't seem to match the reality. The docs on Backend suggest that default backend / first choice would be OpenCL, falling back to others. However, if I set it explicitly via arrayfire::set_backend(Backend::OPENCL), then everything works, so I guess the choice is done differently?

Do you have a workaround?

Yes, I can set backend to OPENCL or CPU and then everything works.

Can the bug be reproduced reliably on your system?

Yes, every time with every API I tried.

A clear and concise description of what you expected to happen.

All those calls to succeed I guess.

Run your executable with AF_TRACE=all and AF_PRINT_ERRORS=1 environment variables set.

AF_PRINT_ERRORS=1 doesn't help / doesn't print anything.

AF_TRACE=all produces following output:

[unified][1615582233][027972] [ ..\src\api\unified\symbol_manager.cpp(141) ] Attempting: Default System Paths
[unified][1615582233][027972] [ ..\src\api\unified\symbol_manager.cpp(144) ] Found: afcpu.dll
[unified][1615582233][027972] [ ..\src\api\unified\symbol_manager.cpp(151) ] Device Count: 1.
[unified][1615582233][027972] [ ..\src\api\unified\symbol_manager.cpp(141) ] Attempting: Default System Paths
[unified][1615582233][027972] [ ..\src\api\unified\symbol_manager.cpp(144) ] Found: afopencl.dll
[platform][1615582234][027972] [ ..\src\backend\common\DependencyModule.cpp(99) ] Attempting to load: forge.dll
[platform][1615582234][027972] [ ..\src\backend\common\DependencyModule.cpp(102) ] Found: forge.dll
[platform][1615582234][027972] [ ..\src\backend\opencl\device_manager.cpp(218) ] Found 2 OpenCL platforms
[platform][1615582234][027972] [ ..\src\backend\opencl\device_manager.cpp(230) ] Found 1 devices on platform NVIDIA CUDA
[platform][1615582234][027972] [ ..\src\backend\opencl\device_manager.cpp(235) ] Found device GeForce MX150 on platform NVIDIA CUDA
[platform][1615582234][027972] [ ..\src\backend\opencl\device_manager.cpp(230) ] Found 1 devices on platform Intel(R) OpenCL HD Graphics     
[platform][1615582234][027972] [ ..\src\backend\opencl\device_manager.cpp(235) ] Found device Intel(R) UHD Graphics 620 on platform Intel(R) 
OpenCL HD Graphics
[platform][1615582234][027972] [ ..\src\backend\opencl\device_manager.cpp(240) ] Found 2 OpenCL devices
[platform][1615582235][027972] [ ..\src\backend\opencl\device_manager.cpp(335) ] Default device: 0
[unified][1615582235][027972] [ ..\src\api\unified\symbol_manager.cpp(151) ] Device Count: 2.
[unified][1615582235][027972] [ ..\src\api\unified\symbol_manager.cpp(141) ] Attempting: Default System Paths
[unified][1615582235][027972] [ ..\src\api\unified\symbol_manager.cpp(144) ] Found: afcuda.dll
[unified][1615582235][027972] [ ..\src\api\unified\symbol_manager.cpp(151) ] Device Count: 1.
[unified][1615582235][027972] [ ..\src\api\unified\symbol_manager.cpp(206) ] AF_DEFAULT_BACKEND: cuda
[platform][1615582235][027972] [ ..\src\backend\common\DependencyModule.cpp(99) ] Attempting to load: forge.dll
[platform][1615582235][027972] [ ..\src\backend\common\DependencyModule.cpp(102) ] Found: forge.dll
[platform][1615582235][027972] [ ..\src\backend\cuda\device_manager.cpp(468) ] CUDA Driver supports up to CUDA 11.0 ArrayFire CUDA Runtime 11.2
(...stuck here for a long time...)
error: process didn't exit successfully: `target\release\examples\af.exe` (exit code: 0xc0000409, STATUS_STACK_BUFFER_OVERRUN)

Reproducible Code and/or Steps

fn main() {
  arrayfire::info();
  // or: arrayfire::Array::new(&[1,2,3], dim4!(3));
  // or literally anything
}

System Information

Windows:
Download clinfo from https://github.com/Oblomov/clinfo

Number of platforms                               2
  Platform Name                                   NVIDIA CUDA
  Platform Vendor                                 NVIDIA Corporation
  Platform Version                                OpenCL 1.2 CUDA 11.0.228
  Platform Profile                                FULL_PROFILE
  Platform Extensions                             cl_khr_global_int32_base_atomics cl_khr_global_int32_extended_atomics cl_khr_local_int32_base_atomics cl_khr_local_int32_extended_atomics cl_khr_fp64 cl_khr_byte_addressable_store cl_khr_icd cl_khr_gl_sharing cl_nv_compiler_options 
cl_nv_device_attribute_query cl_nv_pragma_unroll cl_nv_d3d10_sharing cl_khr_d3d10_sharing cl_nv_d3d11_sharing cl_nv_copy_opts cl_nv_create_buffer cl_khr_int64_base_atomics cl_khr_int64_extended_atomics
  Platform Extensions function suffix             NV

  Platform Name                                   Intel(R) OpenCL HD Graphics
  Platform Vendor                                 Intel(R) Corporation
  Platform Version                                OpenCL 2.1
  Platform Profile                                FULL_PROFILE
  Platform Extensions                             cl_khr_byte_addressable_store cl_khr_fp16 cl_khr_global_int32_base_atomics cl_khr_global_int32_extended_atomics cl_khr_icd cl_khr_local_int32_base_atomics cl_khr_local_int32_extended_atomics cl_intel_subgroups cl_intel_required_subgroup_size cl_intel_subgroups_short cl_khr_spir cl_intel_accelerator cl_intel_driver_diagnostics cl_khr_priority_hints cl_khr_throttle_hints cl_khr_create_command_queue cl_intel_subgroups_char cl_intel_subgroups_long cl_khr_fp64 cl_khr_subgroups cl_khr_il_program cl_intel_spirv_device_side_avc_motion_estimation cl_intel_spirv_media_block_io cl_intel_spirv_subgroups cl_khr_spirv_no_integer_wrap_decoration cl_intel_unified_shared_memory_preview cl_khr_mipmap_image cl_khr_mipmap_image_writes cl_intel_planar_yuv cl_intel_packed_yuv cl_intel_motion_estimation cl_intel_device_side_avc_motion_estimation cl_intel_advanced_motion_estimation cl_khr_int64_base_atomics cl_khr_int64_extended_atomics cl_khr_image2d_from_buffer cl_khr_depth_images cl_intel_media_block_io cl_khr_3d_image_writes cl_khr_gl_sharing cl_khr_gl_depth_images cl_khr_gl_event 
cl_khr_gl_msaa_sharing cl_intel_dx9_media_sharing cl_khr_dx9_media_sharing cl_khr_d3d10_sharing cl_khr_d3d11_sharing cl_intel_d3d11_nv12_media_sharing cl_intel_unified_sharing cl_intel_simultaneous_sharing
  Platform Extensions function suffix             INTEL
  Platform Host timer resolution                  100ns

  Platform Name                                   NVIDIA CUDA
Number of devices                                 1
  Device Name                                     GeForce MX150
  Device Vendor                                   NVIDIA Corporation
  Device Vendor ID                                0x10de
  Device Version                                  OpenCL 1.2 CUDA
  Driver Version                                  452.66
  Device OpenCL C Version                         OpenCL C 1.2
  Device Type                                     GPU
  Device Topology (NV)                            PCI-E, 0000:01:00.0
  Device Profile                                  FULL_PROFILE
  Device Available                                Yes
  Compiler Available                              Yes
  Linker Available                                Yes
  Max compute units                               3
  Max clock frequency                             1531MHz
  Compute Capability (NV)                         6.1
  Device Partition                                (core)
    Max number of sub-devices                     1
    Supported partition types                     None
    Supported affinity domains                    (n/a)
  Max work item dimensions                        3
  Max work item sizes                             1024x1024x64
  Max work group size                             1024
  Preferred work group size multiple (kernel)     32
  Warp size (NV)                                  32
  Preferred / native vector sizes
    char                                                 1 / 1
    short                                                1 / 1
    int                                                  1 / 1
    long                                                 1 / 1
    half                                                 0 / 0        (n/a)
    float                                                1 / 1       
    double                                               1 / 1        (cl_khr_fp64)
  Half-precision Floating-point support           (n/a)
  Single-precision Floating-point support         (core)
    Denormals                                     Yes
    Infinity and NANs                             Yes
    Round to nearest                              Yes
    Round to zero                                 Yes
    Round to infinity                             Yes
    IEEE754-2008 fused multiply-add               Yes
    Support is emulated in software               No
    Correctly-rounded divide and sqrt operations  Yes
  Double-precision Floating-point support         (cl_khr_fp64)
    Denormals                                     Yes
    Infinity and NANs                             Yes
    Round to nearest                              Yes
    Round to zero                                 Yes
    Round to infinity                             Yes
    IEEE754-2008 fused multiply-add               Yes
    Support is emulated in software               No
  Address bits                                    64, Little-Endian
  Global memory size                              2147483648 (2GiB)
  Error Correction support                        No
  Max memory allocation                           536870912 (512MiB)
  Unified memory for Host and Device              No
  Integrated memory (NV)                          No
  Minimum alignment for any data type             128 bytes
  Alignment of base address                       4096 bits (512 bytes)
  Global Memory cache type                        Read/Write
  Global Memory cache size                        147456 (144KiB)
  Global Memory cache line size                   128 bytes
  Image support                                   Yes
    Max number of samplers per kernel             32
    Max size for 1D images from buffer            268435456 pixels
    Max 1D or 2D image array size                 2048 images
    Max 2D image size                             16384x32768 pixels
    Max 3D image size                             16384x16384x16384 pixels
    Max number of read image args                 256
    Max number of write image args                16
  Local memory type                               Local
  Local memory size                               49152 (48KiB)
  Registers per block (NV)                        65536
  Max number of constant args                     9
  Max constant buffer size                        65536 (64KiB)
  Max size of kernel argument                     4352 (4.25KiB)
  Queue properties
    Out-of-order execution                        Yes
    Profiling                                     Yes
  Prefer user sync for interop                    No
  Profiling timer resolution                      1000ns
  Execution capabilities
    Run OpenCL kernels                            Yes
    Run native kernels                            No
    Kernel execution timeout (NV)                 Yes
  Concurrent copy and kernel execution (NV)       Yes
    Number of async copy engines                  1
  printf() buffer size                            1048576 (1024KiB)
  Built-in kernels                                (n/a)
  Device Extensions                               cl_khr_global_int32_base_atomics cl_khr_global_int32_extended_atomics cl_khr_local_int32_base_atomics cl_khr_local_int32_extended_atomics cl_khr_fp64 cl_khr_byte_addressable_store cl_khr_icd cl_khr_gl_sharing cl_nv_compiler_options 
cl_nv_device_attribute_query cl_nv_pragma_unroll cl_nv_d3d10_sharing cl_khr_d3d10_sharing cl_nv_d3d11_sharing cl_nv_copy_opts cl_nv_create_buffer cl_khr_int64_base_atomics cl_khr_int64_extended_atomics

  Platform Name                                   Intel(R) OpenCL HD Graphics
Number of devices                                 1
  Device Name                                     Intel(R) UHD Graphics 620
  Device Vendor                                   Intel(R) Corporation
  Device Vendor ID                                0x8086
  Device Version                                  OpenCL 2.1 NEO
  Driver Version                                  27.20.100.8476
  Device OpenCL C Version                         OpenCL C 2.0
  Device Type                                     GPU
  Device Profile                                  FULL_PROFILE
  Device Available                                Yes
  Compiler Available                              Yes
  Linker Available                                Yes
  Max compute units                               24
  Max clock frequency                             1150MHz
  Device Partition                                (core)
    Max number of sub-devices                     0
    Supported partition types                     None
    Supported affinity domains                    (n/a)
  Max work item dimensions                        3
  Max work item sizes                             256x256x256
  Max work group size                             256
  Preferred work group size multiple (kernel)     32
  Max sub-groups per work group                   32
  Sub-group sizes (Intel)                         8, 16, 32
  Preferred / native vector sizes
    char                                                16 / 16
    short                                                8 / 8       
    int                                                  4 / 4
    long                                                 1 / 1
    half                                                 8 / 8        (cl_khr_fp16)
    float                                                1 / 1
    double                                               1 / 1        (cl_khr_fp64)
  Half-precision Floating-point support           (cl_khr_fp16)
    Denormals                                     Yes
    Infinity and NANs                             Yes
    Round to nearest                              Yes
    Round to zero                                 Yes
    Round to infinity                             Yes
    IEEE754-2008 fused multiply-add               Yes
    Support is emulated in software               No
  Single-precision Floating-point support         (core)
    Denormals                                     Yes
    Infinity and NANs                             Yes
    Round to nearest                              Yes
    Round to zero                                 Yes
    Round to infinity                             Yes
    IEEE754-2008 fused multiply-add               Yes
    Support is emulated in software               No
    Correctly-rounded divide and sqrt operations  Yes
  Double-precision Floating-point support         (cl_khr_fp64)
    Denormals                                     Yes
    Infinity and NANs                             Yes
    Round to nearest                              Yes
    Round to zero                                 Yes
    Round to infinity                             Yes
    IEEE754-2008 fused multiply-add               Yes
    Support is emulated in software               No
  Address bits                                    64, Little-Endian
  Global memory size                              3392032768 (3.159GiB)
  Error Correction support                        No
  Max memory allocation                           1696016384 (1.58GiB)
  Unified memory for Host and Device              Yes
  Shared Virtual Memory (SVM) capabilities        (core)
    Coarse-grained buffer sharing                 Yes
    Fine-grained buffer sharing                   Yes
    Fine-grained system sharing                   No
    Atomics                                       Yes
  Minimum alignment for any data type             128 bytes
  Alignment of base address                       1024 bits (128 bytes)
  Preferred alignment for atomics
    SVM                                           64 bytes
    Global                                        64 bytes
    Local                                         64 bytes
  Max size for global variable                    65536 (64KiB)
  Preferred total size of global vars             1696016384 (1.58GiB)
  Global Memory cache type                        Read/Write
  Global Memory cache size                        524288 (512KiB)
  Global Memory cache line size                   64 bytes
  Image support                                   Yes
    Max number of samplers per kernel             16
    Max size for 1D images from buffer            106001024 pixels
    Max 1D or 2D image array size                 2048 images
    Base address alignment for 2D image buffers   4 bytes
    Pitch alignment for 2D image buffers          4 pixels
    Max 2D image size                             16384x16384 pixels
    Max planar YUV image size                     16384x16352 pixels
    Max 3D image size                             16384x16384x2048 pixels
    Max number of read image args                 128
    Max number of write image args                128
    Max number of read/write image args           128
  Max number of pipe args                         16
  Max active pipe reservations                    1
  Max pipe packet size                            1024
  Local memory type                               Local
  Local memory size                               65536 (64KiB)
  Max number of constant args                     8
  Max constant buffer size                        1696016384 (1.58GiB)
  Max size of kernel argument                     1024
  Queue properties (on host)
    Out-of-order execution                        Yes
    Profiling                                     Yes
  Queue properties (on device)
    Out-of-order execution                        Yes
    Profiling                                     Yes
    Preferred size                                131072 (128KiB)
    Max size                                      67108864 (64MiB)
  Max queues on device                            1
  Max events on device                            1024
  Prefer user sync for interop                    Yes
  Number of simultaneous interops (Intel)         1
  Simultaneous interops                           GL WGL D3D9 (KHR) D3D9 (INTEL) D3D9Ex (KHR) D3D9Ex (INTEL) DXVA (KHR) DXVA (INTEL) D3D10 D3D11
  Profiling timer resolution                      83ns
  Execution capabilities
    Run OpenCL kernels                            Yes
    Run native kernels                            No
    Sub-group independent forward progress        Yes
    IL version                                    SPIR-V_1.2
    SPIR versions                                 1.2
  printf() buffer size                            4194304 (4MiB)
  Built-in kernels                                block_motion_estimate_intel;block_advanced_motion_estimate_check_intel;block_advanced_motion_estimate_bidirectional_check_intel;
  Motion Estimation accelerator version (Intel)   2
    Device-side AVC Motion Estimation version     1
      Supports texture sampler use                Yes
      Supports preemption                         No
  Device Extensions                               cl_khr_byte_addressable_store cl_khr_fp16 cl_khr_global_int32_base_atomics cl_khr_global_int32_extended_atomics cl_khr_icd cl_khr_local_int32_base_atomics cl_khr_local_int32_extended_atomics cl_intel_subgroups cl_intel_required_subgroup_size cl_intel_subgroups_short cl_khr_spir cl_intel_accelerator cl_intel_driver_diagnostics cl_khr_priority_hints cl_khr_throttle_hints cl_khr_create_command_queue cl_intel_subgroups_char cl_intel_subgroups_long cl_khr_fp64 cl_khr_subgroups cl_khr_il_program cl_intel_spirv_device_side_avc_motion_estimation cl_intel_spirv_media_block_io cl_intel_spirv_subgroups cl_khr_spirv_no_integer_wrap_decoration cl_intel_unified_shared_memory_preview cl_khr_mipmap_image cl_khr_mipmap_image_writes cl_intel_planar_yuv cl_intel_packed_yuv cl_intel_motion_estimation cl_intel_device_side_avc_motion_estimation cl_intel_advanced_motion_estimation cl_khr_int64_base_atomics cl_khr_int64_extended_atomics cl_khr_image2d_from_buffer cl_khr_depth_images cl_intel_media_block_io cl_khr_3d_image_writes cl_khr_gl_sharing cl_khr_gl_depth_images cl_khr_gl_event 
cl_khr_gl_msaa_sharing cl_intel_dx9_media_sharing cl_khr_dx9_media_sharing cl_khr_d3d10_sharing cl_khr_d3d11_sharing cl_intel_d3d11_nv12_media_sharing cl_intel_unified_sharing cl_intel_simultaneous_sharing


NULL platform behavior
  clGetPlatformInfo(NULL, CL_PLATFORM_NAME, ...)  No platform
  clGetDeviceIDs(NULL, CL_DEVICE_TYPE_ALL, ...)   No platform
  clCreateContext(NULL, ...) [default]            No platform
  clCreateContext(NULL, ...) [other]              Success [NV]
  clCreateContextFromType(NULL, CL_DEVICE_TYPE_DEFAULT)  No platform
  clCreateContextFromType(NULL, CL_DEVICE_TYPE_CPU)  No devices found in platform
  clCreateContextFromType(NULL, CL_DEVICE_TYPE_GPU)  No platform
  clCreateContextFromType(NULL, CL_DEVICE_TYPE_ACCELERATOR)  No devices found in platform
  clCreateContextFromType(NULL, CL_DEVICE_TYPE_CUSTOM)  Invalid device type for platform
  clCreateContextFromType(NULL, CL_DEVICE_TYPE_ALL)  No platform
        NOTE:   your OpenCL library only supports OpenCL 2.0,
                but some installed platforms support OpenCL 2.1.
                Programs using 2.1 features may crash
                or behave unexpectedly

If you have NVIDIA GPUs. Run nvidia-smi usually located in
C:\Program Files\NVIDIA Corporation\NVSMI

Fri Mar 12 20:57:58 2021       
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 452.66       Driver Version: 452.66       CUDA Version: 11.0     |
|-------------------------------+----------------------+----------------------+
| GPU  Name            TCC/WDDM | Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|                               |                      |               MIG M. |
|===============================+======================+======================|
|   0  GeForce MX150      WDDM  | 00000000:01:00.0 Off |                  N/A |
| N/A   56C    P0    N/A /  N/A |    141MiB /  2048MiB |      0%      Default |
|                               |                      |                  N/A |
+-------------------------------+----------------------+----------------------+

+-----------------------------------------------------------------------------+
| Processes:                                                                  |
|  GPU   GI   CI        PID   Type   Process name                  GPU Memory |
|        ID   ID                                                   Usage      |
|=============================================================================|
|    0   N/A  N/A     53732    C+G   ...IA GeForce Experience.exe    N/A      |
+-----------------------------------------------------------------------------+

Checklist

Using the latest available ArrayFire release
GPU drivers are up to date (actually checking this now; regardless, I believe the fact that there is no human-readable error in any mode and instead it crashes internally, is a bug)

* (actually checking this now; regardless, I believe the fact that there is no human-readable error in any mode and instead it crashes internally, is a bug)

UPD: updating driver helped, so at least that's good.

@RReverser

I've noticed that docs don't seem to match the reality. The docs on Backend suggest that default backend / first choice would be OpenCL, falling back to others.

@RReverser Can you please point me to this location in docs.

UPD: about driver.

I am confused, what do you mean ? Does updating driver resolved the problem ? or It helped with partially but not completely - if so, can you please share how far it did help the program to progress ?

Are you a Rust only developer ? If not, can you please try C++ helloworld example from ArrayFire and let me know how that runs on your system.

@RReverser

@RReverser Can you please point me to this location in docs.

It's here: https://docs.rs/arrayfire/3.8.0/arrayfire/enum.Backend.html.

Default backend order: OpenCL -> CUDA -> CPU

I am confused, what do you mean ? Does updating driver resolved the problem ?

Yes, it resolved the problem and ArrayFire works now (so I can't repro with C++ either), but as I said above:

regardless, I believe the fact that there is no human-readable error in any mode and instead it crashes internally, is a bug

Surely, there has to be a way to print a human-readable error in case of incompatible driver version or something like that instead of crashing.

It's here: https://docs.rs/arrayfire/3.8.0/arrayfire/enum.Backend.html.

Thanks, I will correct that.

Yes, it resolved the problem and ArrayFire works now (so I can't repro with C++ either), but as I said above:

The problem is resolved with driver update, cool.

Surely, there has to be a way to print a human-readable error in case of incompatible driver version or something like that instead of crashing.

We do some checks for driver and cuda runtime compatibility and log them too. I wonder if they are captured by cargo output 🤔
https://github.com/arrayfire/arrayfire/blob/master/src/backend/cuda/device_manager.cpp#L459

We do some checks for driver and cuda runtime compatibility and log them too. I wonder if they are captured by cargo output 🤔
https://github.com/arrayfire/arrayfire/blob/master/src/backend/cuda/device_manager.cpp#L459

I don't think it was, and either way it's probably worth encoding them as a runtime panic. Anything's better than a stack buffer overrun indicating a memory corruption in apparently safe Rust code.

We do some checks for driver and cuda runtime compatibility and log them too. I wonder if they are captured by cargo output thinking
https://github.com/arrayfire/arrayfire/blob/master/src/backend/cuda/device_manager.cpp#L459

I don't think it was, and either way it's probably worth encoding them as a runtime panic. Anything's better than a stack buffer overrun indicating a memory corruption in apparently safe Rust code.

I am not really sure if the cause of that is arrayfire code base. Can you tell me your driver version when it caused issue.

Can you tell me your driver version when it caused issue.

It's in the report above: 452.66

Can you tell me your driver version when it caused issue.

It's in the report above: 452.66

Okay, thank you. I will check with that driver version and see if I can reproduce the issue. If I can, I shall move this issue upstream to address it correctly.

@RReverser

@RReverser I just realized that you are trying to use CUDA 11.2 based ArrayFire with driver 450 series. CUDA 11.2 requires 460.82 minimum. It is not a bug rather, wrong driver version was being used with ArrayFire that was built with CUDA 11.2

Okay. I still think that it should provide better error message on version mismatch, but as it's not affecting me personally, I don't have strong opinion on this.

That is true, it should give an error message rather than a silent seg fault. I was only letting you know that incorrect driver was the reason which I didn't realize until today when I was going through the conversation again.

I was only letting you know that incorrect driver was the reason

Oh yeah, I assumed it was the case as soon as updating the driver fixed the problem :)

@RReverser

@RReverser I have reviewed the issue and code once again today. We do throw an error here https://github.com/arrayfire/arrayfire/blob/master/src/backend/cuda/device_manager.cpp#L459 under this call. Oddly, somewhere in that call or in CUDA API calls, the hang is taking place. Can you please try running the code (with the old driver) through Visual Studio Debugger and share the call stack with me. I am interested in the line that is causing the hang.

@RReverser

@RReverser I have reviewed the issue and code once again today. We do throw an error here https://github.com/arrayfire/arrayfire/blob/master/src/backend/cuda/device_manager.cpp#L459 under this call. Oddly, somewhere in that call or in CUDA API calls, the hang is taking place. Can you please try running the code (with the old driver) through Visual Studio Debugger and share the call stack with me. I am interested in the line that is causing the hang.

@RReverser Did you get a chance to look into this ?

Can you please try running the code (with the old driver)

Yeah, sorry, as I said above I already upgraded the driver which resolved the blocker for me and wouldn't want to look for ways to downgrade it back or return to the issue at this point.

That is alright. I have checked our code base and the necessary log statements for the given scenario are present. I suspect it is either the driver that is causing the hang in which case we cannot gracefully catch the issue to give an appropriate error message.

Until we can figure out some evidence that our log statements aren't working due to logical error in our code base, I don't think we can investigate this further, so closing the issue for now. For any other future/current who may encounter similar issue, if you think you have some additional info to share, feel free to reopen the issue.

Thank you.

Fair enough, thanks.

running into the same issue on windows 10 right now. i tried updating my drivers and cuda and i tried both the 10.x and 11.x arrayfire binaries to no avail. i also tried manually setting the back-end like OP but it didn't seem to fix anything; OpenCL, CUDA, and CPU all throw STATUS_STACK_BUFFER_OVERRUN. in fact it appears simply running set_backend and nothing else causes an overrun.

the download link on github for the cinfo binary seems to be down right now but heres the output from nvidia-smi

Fri Feb  4 02:19:12 2022
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 511.65       Driver Version: 511.65       CUDA Version: 11.6     |
|-------------------------------+----------------------+----------------------+
| GPU  Name            TCC/WDDM | Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|                               |                      |               MIG M. |
|===============================+======================+======================|
|   0  NVIDIA GeForce ... WDDM  | 00000000:01:00.0  On |                  N/A |
|  0%   49C    P0   126W / 350W |   1056MiB / 24576MiB |      2%      Default |
|                               |                      |                  N/A |
+-------------------------------+----------------------+----------------------+

+-----------------------------------------------------------------------------+
| Processes:                                                                  |
|  GPU   GI   CI        PID   Type   Process name                  GPU Memory |
|        ID   ID                                                   Usage      |
|=============================================================================|
|    0   N/A  N/A      1580    C+G                                   N/A      |
|    0   N/A  N/A      2872    C+G   ...icrosoft VS Code\Code.exe    N/A      |
|    0   N/A  N/A      5536    C+G                                   N/A      |
|    0   N/A  N/A      6932    C+G   ...kyb3d8bbwe\Calculator.exe    N/A      |
|    0   N/A  N/A      7884    C+G   C:\Windows\explorer.exe         N/A      |
|    0   N/A  N/A     12184    C+G   ...artMenuExperienceHost.exe    N/A      |
|    0   N/A  N/A     12364    C+G   ...ekyb3d8bbwe\YourPhone.exe    N/A      |
|    0   N/A  N/A     12584    C+G   ...5n1h2txyewy\SearchApp.exe    N/A      |
|    0   N/A  N/A     13440    C+G   ...4__htrsf667h5kn2\AWCC.exe    N/A      |
|    0   N/A  N/A     14248    C+G   ...ekyb3d8bbwe\HxOutlook.exe    N/A      |
|    0   N/A  N/A     15588    C+G   ...108.43\msedgewebview2.exe    N/A      |
|    0   N/A  N/A     16044    C+G   ...perience\NVIDIA Share.exe    N/A      |
|    0   N/A  N/A     16160    C+G   ...perience\NVIDIA Share.exe    N/A      |
|    0   N/A  N/A     16676    C+G                                   N/A      |
|    0   N/A  N/A     16712    C+G   ...zilla Firefox\firefox.exe    N/A      |
|    0   N/A  N/A     16968    C+G   ...nputApp\TextInputHost.exe    N/A      |
|    0   N/A  N/A     21680    C+G   ...lack\app-4.23.0\slack.exe    N/A      |
|    0   N/A  N/A     22944    C+G   ...zilla Firefox\firefox.exe    N/A      |
|    0   N/A  N/A     23416    C+G   ...y\ShellExperienceHost.exe    N/A      |
|    0   N/A  N/A     23752    C+G   ...lPanel\SystemSettings.exe    N/A      |
+-----------------------------------------------------------------------------+

and heres AF_TRACE=all

[unified][1643970448][5736] [ ..\src\api\unified\symbol_manager.cpp(141) ] Attempting: Default System Paths
[unified][1643970448][5736] [ ..\src\api\unified\symbol_manager.cpp(144) ] Found: afcpu.dll
[unified][1643970448][5736] [ ..\src\api\unified\symbol_manager.cpp(151) ] Device Count: 1.
[unified][1643970448][5736] [ ..\src\api\unified\symbol_manager.cpp(141) ] Attempting: Default System Paths
[unified][1643970448][5736] [ ..\src\api\unified\symbol_manager.cpp(144) ] Found: afopencl.dll
[platform][1643970448][5736] [ ..\src\backend\common\DependencyModule.cpp(99) ] Attempting to load: forge.dll
[platform][1643970448][5736] [ ..\src\backend\common\DependencyModule.cpp(102) ] Found: forge.dll
[platform][1643970448][5736] [ ..\src\backend\opencl\device_manager.cpp(218) ] Found 3 OpenCL platforms
[platform][1643970448][5736] [ ..\src\backend\opencl\device_manager.cpp(230) ] Found 1 devices on platform NVIDIA CUDA
[platform][1643970448][5736] [ ..\src\backend\opencl\device_manager.cpp(235) ] Found device NVIDIA GeForce RTX 3090 on platform NVIDIA CUDA
[platform][1643970448][5736] [ ..\src\backend\opencl\device_manager.cpp(230) ] Found 1 devices on platform Intel(R) OpenCL
[platform][1643970448][5736] [ ..\src\backend\opencl\device_manager.cpp(235) ] Found device 11th Gen Intel(R) Core(TM) i9-11900K @ 3.50GHz on platform Intel(R) OpenCL
[platform][1643970448][5736] [ ..\src\backend\opencl\device_manager.cpp(230) ] Found 1 devices on platform Experimental OpenCL 2.1 CPU Only Platform
[platform][1643970448][5736] [ ..\src\backend\opencl\device_manager.cpp(235) ] Found device 11th Gen Intel(R) Core(TM) i9-11900K @ 3.50GHz on platform Experimental OpenCL 2.1 CPU Only Platform
[platform][1643970448][5736] [ ..\src\backend\opencl\device_manager.cpp(240) ] Found 3 OpenCL devices
error: process didn't exit successfully: `target\debug\rust_playground.exe` (exit code: 0xc0000409, STATUS_STACK_BUFFER_OVERRUN)

i elected to file a issue since it seems like the root cause is different from OP. feel free to close the issue if its a duplicate

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[BUG] Getting STATUS_STACK_BUFFER_OVERRUN on any operations #285

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[BUG] Getting STATUS_STACK_BUFFER_OVERRUN on any operations #285

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RReverser commented on Mar 12, 2021

9prady9 commented on Mar 15, 2021

RReverser commented on Mar 15, 2021

9prady9 commented on Mar 15, 2021

RReverser commented on Mar 15, 2021

9prady9 commented on Mar 15, 2021

RReverser commented on Mar 15, 2021

9prady9 commented on Mar 17, 2021

9prady9 commented on Apr 7, 2021

RReverser commented on Apr 7, 2021

9prady9 commented on Apr 7, 2021

RReverser commented on Apr 7, 2021

9prady9 commented on Apr 13, 2021

9prady9 commented on May 4, 2021

RReverser commented on May 4, 2021

9prady9 commented on May 4, 2021

RReverser commented on May 4, 2021

0rphon commented on Feb 4, 2022

0rphon commented on Feb 4, 2022

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