[AMD] Fix test_dot_multidim floating-point comparision (#8780)

This PR fixes test failures in `test_dot_multidim` that occur on AMD
RDNA3 GPUs due to overly strict floating-point comparisons.
The test currently uses `torch.equal()` which requires exact bit-for-bit
equality, but different GPU architectures and drivers can produce
slightly different results at the machine epsilon level
while still being mathematically correct. This change replaces the exact
equality check with `torch.allclose()` using appropriate tolerances.
 
 
Triton --> tensor([[[[ -3.0000, -44.0000, 8.0000, ..., 1.0000, -28.0000,
-12.0000],
[ -6.0000, 46.0000, 10.0000, ..., -13.0000, 35.0000, 50.0000],
[ 83.0000, 5.0000, 59.0000, ..., -32.0000, -19.0000, 96.0000],
          ...,
		  
		  
 Torch ---> tensor([[[[ -3., -44.,   8.,  ...,   1., -28., -12.],
          [ -6.,  46.,  10.,  ..., -13.,  35.,  50.],
          [ 83.,   5.,  59.,  ..., -32., -19.,  96.],
          ...,


The printed values appear identical, but `torch.equal()` detects
differences at the least significant bits level.

Author: saeid-rostami

python/test/unit/language/test_core.py

@@ -6693,4 +6693,4 @@ def kernel(X, Y, Z, RANK: tl.constexpr, TRANS_A: tl.constexpr, TRANS_B: tl.const
 
     d = a.to(torch.float32) @ b.to(torch.float32)
 
-    assert torch.equal(c, d)
+    assert torch.allclose(c, d, rtol=1e-3, atol=1e-2)