--- Begin Message ---
Source: pytorch-sparse
Version: 0.6.17-1
Severity: serious
Tags: ftbfs sid trixie
Justification: fails to build from source (but built successfully in the past)
X-Debbugs-Cc: sramac...@debian.org
https://buildd.debian.org/status/fetch.php?pkg=pytorch-sparse&arch=arm64&ver=0.6.17-1&stamp=1694243524&raw=0
=================================== FAILURES ===================================
________________________ test_spmm[dtype5-device5-sum] _________________________
dtype = torch.float32, device = device(type='cpu'), reduce = 'sum'
@pytest.mark.parametrize('dtype,device,reduce',
product(grad_dtypes, devices, reductions))
def test_spmm(dtype, device, reduce):
if device == torch.device('cuda:0') and dtype == torch.bfloat16:
return # Not yet implemented.
src = torch.randn((10, 8), dtype=dtype, device=device)
src[2:4, :] = 0 # Remove multiple rows.
src[:, 2:4] = 0 # Remove multiple columns.
src = SparseTensor.from_dense(src).requires_grad_()
row, col, value = src.coo()
other = torch.randn((2, 8, 2), dtype=dtype, device=device,
requires_grad=True)
src_col = other.index_select(-2, col) * value.unsqueeze(-1)
expected = torch_scatter.scatter(src_col, row, dim=-2, reduce=reduce)
if reduce == 'min':
expected[expected > 1000] = 0
if reduce == 'max':
expected[expected < -1000] = 0
grad_out = torch.randn_like(expected)
expected.backward(grad_out)
expected_grad_value = value.grad
value.grad = None
expected_grad_other = other.grad
other.grad = None
out = matmul(src, other, reduce)
out.backward(grad_out)
atol = 1e-7
if dtype == torch.float16 or dtype == torch.bfloat16:
atol = 1e-1
assert torch.allclose(expected, out, atol=atol)
assert torch.allclose(expected_grad_value, value.grad, atol=atol)
> assert torch.allclose(expected_grad_other, other.grad, atol=atol)
E assert False
E + where False = <built-in method allclose of type object at
0xffff8bbd1d90>(tensor([[[-1.2813e+00, -1.5149e+00],\n [-5.9411e-02,
-3.7580e-01],\n [ 0.0000e+00, 0.0000e+00],\n ...e+00],\n
[ 1.9554e+00, 2.9660e+00],\n [-2.2483e+00, -2.2663e+00],\n [
4.1025e-03, -9.0971e-01]]]), tensor([[[-1.2813e+00, -1.5149e+00],\n
[-5.9411e-02, -3.7580e-01],\n [ 0.0000e+00, 0.0000e+00],\n
...e+00],\n [ 1.9554e+00, 2.9660e+00],\n [-2.2483e+00,
-2.2663e+00],\n [ 4.1023e-03, -9.0971e-01]]]), atol=1e-07)
E + where <built-in method allclose of type object at 0xffff8bbd1d90>
= torch.allclose
E + and tensor([[[-1.2813e+00, -1.5149e+00],\n
[-5.9411e-02, -3.7580e-01],\n [ 0.0000e+00, 0.0000e+00],\n
...e+00],\n [ 1.9554e+00, 2.9660e+00],\n [-2.2483e+00,
-2.2663e+00],\n [ 4.1023e-03, -9.0971e-01]]]) = tensor([[[ 4.5925e-01,
-1.0188e+00],\n [ 1.6147e-03, 1.0610e+00],\n [-1.3520e+00,
-9.0994e-01],\n ...0452e-01, 7.3244e-01],\n [-1.1243e+00,
6.4083e-01],\n [ 6.1791e-01, 2.0024e-01]]], requires_grad=True).grad
test/test_matmul.py:51: AssertionError
=============================== warnings summary ===============================
.pybuild/cpython3_3.11_torch-sparse/build/test/test_matmul.py::test_spspmm[dtype1-device1]
/<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_torch-sparse/build/torch_sparse/matmul.py:97:
UserWarning: Sparse CSR tensor support is in beta state. If you miss a
functionality in the sparse tensor support, please submit a feature request to
https://github.com/pytorch/pytorch/issues. (Triggered internally at
./aten/src/ATen/SparseCsrTensorImpl.cpp:54.)
C = torch.sparse.mm(A, B)
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
=========================== short test summary info ============================
FAILED test/test_matmul.py::test_spmm[dtype5-device5-sum] - assert False
Cheers
--
Sebastian Ramacher
--- End Message ---
