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2025-04-15T15:33:12.8935313Z FAILED intel/test_block_load.py::test_block_load_dpas_layout[True-int8-128-8] - AssertionError: assert (True and False)
2025-04-15T15:33:12.8936098Z + where True = <built-in method equal of type object at 0x724b56d59c00>(tensor([[ 35, -63, 57, ..., -95, -102, -78],\n [-101, -124, -115, ..., -3, -78, -25],\n [ 30, 52, 127, ..., 94, 29, -90],\n ...,\n [-119, -33, 40, ..., 8, -19, 40],\n [ 19, -29, 113, ..., 74, 52, 7],\n [ 45, -8, 109, ..., 65, 125, 93]], device='xpu:0',\n dtype=torch.int8), tensor([[ 35, -63, 57, ..., -95, -102, -78],\n [-101, -124, -115, ..., -3, -78, -25],\n [ 30, 52, 127, ..., 94, 29, -90],\n ...,\n [-119, -33, 40, ..., 8, -19, 40],\n [ 19, -29, 113, ..., 74, 52, 7],\n [ 45, -8, 109, ..., 65, 125, 93]], device='xpu:0',\n dtype=torch.int8))
2025-04-15T15:33:12.8936783Z + where <built-in method equal of type object at 0x724b56d59c00> = torch.equal
2025-04-15T15:33:12.8937511Z + and False = <built-in method equal of type object at 0x724b56d59c00>(tensor([[ 21, -60, -27, ..., -91, -97, 103],\n [-121, -107, 24, ..., 83, -124, 62],\n [ 113, 68, -34, ..., -52, -109, 11],\n ...,\n [ 93, 7, -32, ..., -122, 85, 117],\n [ -63, -81, 18, ..., -101, 17, -35],\n [ 62, 105, 82, ..., 70, 7, 63]], device='xpu:0',\n dtype=torch.int8), tensor([[ 21, -27, 19, ..., 77, 2, 31],\n [-121, 24, -5, ..., 78, 8, 30],\n [ 113, -34, 124, ..., 85, 91, 116],\n ...,\n [ 78, 69, -101, ..., -81, 9, -48],\n [ 108, -95, 71, ..., -116, 67, 91],\n [ -98, -111, 71, ..., -64, 56, 78]], device='xpu:0',\n dtype=torch.int8))
2025-04-15T15:33:12.8938183Z + where <built-in method equal of type object at 0x724b56d59c00> = torch.equal
2025-04-15T15:33:12.8932819Z ----------------------------- Captured stderr call -----------------------------
2025-04-15T15:33:12.8933317Z /tmp/pytest-of-runner/pytest-5/popen-gw3/test_block_load_dpas_layout_Tr2/test_block_load_dpas_layout.ttgir:12:18: error: 'triton_gen.2Dblockload' op result size of 256 bits does not match the expected size of 128 bits
2025-04-15T15:33:12.8933932Z %2 = tt.load %1 {boundaryCheck = array<i32: 0, 1>, triton_intel_gpu.block_io = "row_major"} : !tt.ptr<tensor<128x8xi8, #ttg.dot_op<{opIdx = 0, parent = #mma, kWidth = 2}>>>
2025-04-15T15:33:12.8934247Z ^
https://github.com/intel/intel-xpu-backend-for-triton/actions/runs/14472043222