skip segfaults on ROCM
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@@ -679,6 +679,8 @@ def test_tensor_atomic_rmw(axis, device="cuda"):
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def test_atomic_cas():
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def test_atomic_cas():
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if torch.version.hip is not None:
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pytest.skip(f"test_atomic_cas currently has segfaults on ROCM")
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# 1. make sure that atomic_cas changes the original value (Lock)
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# 1. make sure that atomic_cas changes the original value (Lock)
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@triton.jit
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@triton.jit
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def change_value(Lock):
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def change_value(Lock):
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@@ -788,6 +790,8 @@ def test_store_bool():
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@pytest.mark.parametrize("dtype", [torch.float16, torch.bfloat16])
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@pytest.mark.parametrize("dtype", [torch.float16, torch.bfloat16])
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def test_f8_xf16_roundtrip(dtype):
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def test_f8_xf16_roundtrip(dtype):
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if torch.version.hip is not None:
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pytest.skip(f"test_f8_xf16_roundtrip currently has segfaults on ROCM")
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"""Tests that converting an f8 to f16 and back to f8 doesn't change its value"""
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"""Tests that converting an f8 to f16 and back to f8 doesn't change its value"""
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check_type_supported(dtype)
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check_type_supported(dtype)
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@@ -814,6 +818,8 @@ def test_f8_xf16_roundtrip(dtype):
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def test_f16_to_f8_rounding():
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def test_f16_to_f8_rounding():
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if torch.version.hip is not None:
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pytest.skip(f"test_atomic_cas currently has segfaults on ROCM")
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"""Takes all float16s, converts them to float8 and back to float16. Checks that the absolute
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"""Takes all float16s, converts them to float8 and back to float16. Checks that the absolute
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error is the minimum over all float8.
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error is the minimum over all float8.
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Or the same explanation a bit mathier:
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Or the same explanation a bit mathier:
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@@ -881,6 +887,8 @@ def test_f16_to_f8_rounding():
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for dtype in dtypes_with_bfloat16
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for dtype in dtypes_with_bfloat16
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for shape in [32, 64, 128, 512]])
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for shape in [32, 64, 128, 512]])
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def test_reduce1d(op, dtype_str, shape, device='cuda'):
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def test_reduce1d(op, dtype_str, shape, device='cuda'):
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if torch.version.hip is not None:
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pytest.skip(f"test_reduce1d currently has segfaults on ROCM")
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check_type_supported(dtype_str) # bfloat16 on cc < 80 will not be tested
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check_type_supported(dtype_str) # bfloat16 on cc < 80 will not be tested
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# triton kernel
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# triton kernel
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@@ -940,6 +948,8 @@ reduce_configs2 = [
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@pytest.mark.parametrize("op, dtype_str, shape, axis", reduce_configs1 + reduce_configs2)
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@pytest.mark.parametrize("op, dtype_str, shape, axis", reduce_configs1 + reduce_configs2)
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def test_reduce2d(op, dtype_str, shape, axis, device='cuda'):
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def test_reduce2d(op, dtype_str, shape, axis, device='cuda'):
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if torch.version.hip is not None:
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pytest.skip(f"test_reduce2d currently has segfaults on ROCM")
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# triton kernel
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# triton kernel
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@triton.jit
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@triton.jit
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def kernel(X, Z, BLOCK_M: tl.constexpr, BLOCK_N: tl.constexpr, AXIS: tl.constexpr):
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def kernel(X, Z, BLOCK_M: tl.constexpr, BLOCK_N: tl.constexpr, AXIS: tl.constexpr):
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@@ -1237,6 +1247,8 @@ def test_masked_load(dtype_str, size, size_diff, device='cuda'):
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@pytest.mark.parametrize("dtype", [torch.bfloat16, torch.float16, torch.float32])
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@pytest.mark.parametrize("dtype", [torch.bfloat16, torch.float16, torch.float32])
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def test_masked_load_shared_memory(dtype, device='cuda'):
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def test_masked_load_shared_memory(dtype, device='cuda'):
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if torch.version.hip is not None:
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pytest.skip(f"test_masked_load_shared_memory currently has segfaults on ROCM")
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check_type_supported(dtype) # bfloat16 on cc < 80 will not be tested
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check_type_supported(dtype) # bfloat16 on cc < 80 will not be tested
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M = 32
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M = 32
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@@ -1557,7 +1569,8 @@ def test_num_warps_pow2():
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('float32', 'libdevice.pow', '/usr/local/cuda/nvvm/libdevice/libdevice.10.bc'),
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('float32', 'libdevice.pow', '/usr/local/cuda/nvvm/libdevice/libdevice.10.bc'),
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('float64', 'libdevice.norm4d', '')])
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('float64', 'libdevice.norm4d', '')])
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def test_libdevice(dtype_str, expr, lib_path):
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def test_libdevice(dtype_str, expr, lib_path):
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if torch.version.hip is not None:
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pytest.skip(f"test_libdevice currently has segfaults on ROCM")
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@triton.jit
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@triton.jit
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def kernel(X, Y, BLOCK: tl.constexpr):
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def kernel(X, Y, BLOCK: tl.constexpr):
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x = tl.load(X + tl.arange(0, BLOCK))
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x = tl.load(X + tl.arange(0, BLOCK))
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@@ -7,7 +7,7 @@ sudo apt install gdb -y
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gdb -ex "set pagination off" \
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gdb -ex "set pagination off" \
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-ex "file python" \
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-ex "file python" \
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-ex 'run -m pytest --capture=tee-sys --verbose "python/test/unit/language/test_core.py::test_empty_kernel[float32]"' \
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-ex 'run -m pytest --capture=tee-sys --verbose "python/test/unit/language/test_core.py::test_atomic_rmw[add-uint32-all_neg]"' \
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-ex "backtrace" \
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-ex "backtrace" \
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-ex "set confirm off" \
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-ex "set confirm off" \
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-ex "q" \
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-ex "q" \
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@@ -26,10 +26,11 @@ rm -rf /tmp/triton
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# python python/test/test_empty.py
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# python python/test/test_empty.py
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# -ex 'ignore 1 472' \
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# -ex 'ignore 1 472' \
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# pytest --verbose python/test/unit/language/test_core.py 2>&1 | tee /dockerx/triton/test_core.log
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pytest --verbose python/test/unit/language/test_core.py 2>&1 | tee /dockerx/triton/test_core.log
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# pytest --verbose python/test/unit/language/test_core.py::test_empty_kernel[float32] 2>&1 | tee /dockerx/triton/test_empty_kernel.log
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# pytest --verbose python/test/unit/language/test_core.py::test_empty_kernel[float32] 2>&1 | tee /dockerx/triton/test_empty_kernel.log
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# pytest --verbose python/test/unit/language/test_core.py::test_bin_op[int32-uint32-+] 2>&1 | tee /dockerx/triton/test_bin_op.log
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# pytest --verbose python/test/unit/language/test_core.py::test_bin_op[int32-uint32-+] 2>&1 | tee /dockerx/triton/test_bin_op.log
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pytest --verbose python/test/unit/language/test_core.py::test_atomic_rmw[add-float16-all_neg] 2>&1 | tee /dockerx/triton/test_bin_op.log
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# pytest --verbose python/test/unit/language/test_core.py::test_atomic_rmw 2>&1 | tee /dockerx/triton/test_atomic_rmw.log
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# pytest --verbose python/test/unit/language/test_core.py::test_atomic_rmw[add-float16-all_neg] 2>&1 | tee /dockerx/triton/test_atomic_rmw.log
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# pytest --capture=tee-sys --verbose python/test/regression/test_performance.py | tee /dockerx/triton/test_performance.log
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# pytest --capture=tee-sys --verbose python/test/regression/test_performance.py | tee /dockerx/triton/test_performance.log
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# pytest --capture=tee-sys --verbose python/test/regression/test_performance.py::test_matmul | tee /dockerx/triton/test_performance_matmul.log
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# pytest --capture=tee-sys --verbose python/test/regression/test_performance.py::test_matmul | tee /dockerx/triton/test_performance_matmul.log
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