[BUG] Illegal memory access with REPLICATE border mode

[mitchellgoffpc]

Describe the bug
When using e.g. warp_perspective or remap with the REPLICATE border mode, certain transformations can result in an illegal cuda memory access.

Steps/Code to reproduce bug

import cupy as cp
import numpy as np
import cvcuda

img = cp.ones((1208, 1928, 3), dtype=cp.uint8)
M = np.array([
    [ 8.08776838e-02,  2.36326631e+00, -4.08795000e+02],
    [-1.28514739e-02,  2.55201343e-01, -8.45896673e+01],
    [-2.68404432e-04, -6.57235630e-04,  1.00000000e+00]
])

cvcuda.warp_perspective(cvcuda.as_tensor(img, "HWC"), M, flags=cvcuda.Interp.LINEAR, border_mode=cvcuda.Border.REPLICATE, border_value=np.array([0]))

I was able to reproduce the illegal memory access on RTX 3090 and RTX 4090 cards, on both Intel and AMD cpus.

When compiling cvcuda with -DCMAKE_CUDA_FLAGS_RELEASE=-O0, instead of an illegal memory access, the following assert triggers instead:

CV-CUDA/src/cvcuda/include/cvcuda/cuda_tools/BorderWrap.hpp

Line 123 in 56a4d2a

assert(c >= 0 && c < s);

Expected behavior
It would be great if these transformations didn't trigger an illegal memory access.

Environment overview

• Environment location: Bare-metal
• Method of cuDF install: pip, from source

Environment details

Click here to see environment details

 **git***
 commit 56a4d2a9285d650934a72bf327d901491127042e (HEAD -> main, origin/main, origin/HEAD)
 Author: dlesage-nvidia <[email protected]>
 Date:   Mon Mar 3 12:48:00 2025 -0800
 
 docs: update doc to highlight Pypi wheels (#235)
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 | NVIDIA-SMI 565.57.01              Driver Version: 565.57.01      CUDA Version: 12.7     |
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 |=========================================+========================+======================|
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 | 30%   30C    P8             37W /  350W |    3248MiB /  24576MiB |     18%      Default |
 |                                         |                        |                  N/A |
 +-----------------------------------------+------------------------+----------------------+
 
 +-----------------------------------------------------------------------------------------+
 | Processes:                                                                              |
 |  GPU   GI   CI        PID   Type   Process name                              GPU Memory |
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 Vulnerability Gather data sampling:   Not affected
 Vulnerability Itlb multihit:          Not affected
 Vulnerability L1tf:                   Not affected
 Vulnerability Mds:                    Not affected
 Vulnerability Meltdown:               Not affected
 Vulnerability Mmio stale data:        Not affected
 Vulnerability Reg file data sampling: Not affected
 Vulnerability Retbleed:               Not affected
 Vulnerability Spec rstack overflow:   Vulnerable: Safe RET, no microcode
 Vulnerability Spec store bypass:      Mitigation; Speculative Store Bypass disabled via prctl
 Vulnerability Spectre v1:             Mitigation; usercopy/swapgs barriers and __user pointer sanitization
 Vulnerability Spectre v2:             Mitigation; Retpolines; IBPB conditional; IBRS_FW; STIBP always-on; RSB filling; PBRSB-eIBRS Not affected; BHI Not affected
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 /usr/bin/cmake
 cmake version 3.28.3
 
 CMake suite maintained and supported by Kitware (kitware.com/cmake).
 
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 ***nvcc***
 /usr/local/cuda/bin/nvcc
 nvcc: NVIDIA (R) Cuda compiler driver
 Copyright (c) 2005-2024 NVIDIA Corporation
 Built on Tue_Oct_29_23:50:19_PDT_2024
 Cuda compilation tools, release 12.6, V12.6.85
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Additional context
After spending a bit of time debugging, it appears to me that the crash is caused by an integer overflow in InterpolationWrap.hpp. When the given transformation is quite extreme, as in the repro above, some of the computed source coordinates may be outside the range of a signed 32-bit int. When those coordinates are cast to an int32_t, it seems to get clamped to INT32_MIN/INT32_MAX, e.g. at

CV-CUDA/src/cvcuda/include/cvcuda/cuda_tools/InterpolationWrap.hpp

Line 53 in 56a4d2a

constexpr inline IndexType __host__ __device__ GetIndexForInterpolation(float c)

Calling InterpolationWrap::operator[] with INT32_MAX can result in an integer overflow when it attempts to compute the coordinates of the neighboring pixels, e.g. at

CV-CUDA/src/cvcuda/include/cvcuda/cuda_tools/InterpolationWrap.hpp

Line 434 in 56a4d2a

const StrideType x2 = x1 + 1;

I believe the reason this triggers an illegal memory access when using the REPLICATE border mode is that the c < 0 check in GetIndexWithBorder is skipped when called with x1 + 1, since the function is inlined and has already been called with x1 and therefore the compiler treats the check as unreachable code for x1 + 1:

CV-CUDA/src/cvcuda/include/cvcuda/cuda_tools/BorderWrap.hpp

Line 86 in 56a4d2a

c = (c < 0) ? 0 : (c >= s ? s - 1 : c);