bindless_images/read_sampled.cpp validation error on cuda/DG2

[wenju-he]

Describe the bug

char/uchar/short/ushort types in test read_sampled.cpp has validation error on DG2 and the difference is 1.

If we add int32 type to the test, the test will also report error on CUDA and difference is also 1:

addressing mode: repeat
coordinate normalization mode: normalized
filtering mode: linear
offset: 1.25
Running 2D int
Global Size: 32 32  Local Size: 8 8
        Result mismatch at [4][0] Expected: 38, Actual: 37
        Result mismatch at [7][0] Expected: 54, Actual: 53
        Result mismatch at [8][0] Expected: 50, Actual: 49

Is this a test issue related to reference value computation? Tag @intel/bindless-images-reviewers

To reproduce

1. Apply following diff to the test

diff --git a/sycl/test-e2e/bindless_images/read_sampled.cpp b/sycl/test-e2e/bindless_images/read_sampled.cpp
index 3e786855381e..3e4e640bc41e 100644
--- a/sycl/test-e2e/bindless_images/read_sampled.cpp
+++ b/sycl/test-e2e/bindless_images/read_sampled.cpp
@@ -587,6 +587,12 @@ bool runTests(sycl::range<2> dims, sycl::range<2> localSize, float offset,
       failed |= util::runTest<NDims, float, 4, sycl::image_channel_type::fp32,
                               class float4_2d2>({512, 512}, {8, 8}, offset,
                                                 samp, seed);
+
+      bindless_helpers::printTestName<NDims>("Running 2D int", {32, 32},
+                                             {8, 8});
+      failed |= util::runTest<NDims, int, 1, sycl::image_channel_type::signed_int32,
+                              class int_2d>({512, 512}, {8, 8}, offset,
+                                            samp, seed);
     }
   }

2. Specify the command which should be used to compile the program
   clang++ -fsycl read_sampled.cpp -fsycl-targets=nvptx64-nvidia-cuda
3. Specify the command which should be used to launch the program
   ./a.out
4. Indicate what is wrong
   Output has error:

An error has occurred!

Environment

• OS: Linux
• Target device and vendor: [cuda:gpu][cuda:0] NVIDIA CUDA BACKEND, NVIDIA GeForce RTX 2060 7.5 [CUDA 12.6]
• DPC++ version: clang version 20.0.0git (https://github.com/intel/llvm a78cf31)

[wenju-he]

@intel/bindless-images-reviewers could you please take a look?

[ProGTX]

We're looking into this internally. We've noticed issues with this test in the past - there might be an issue with rounding on different devices.