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re-enable tests in test_cuda after fixes #212

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Sep 18, 2018
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27 changes: 11 additions & 16 deletions test/test_cuda.py
Original file line number Diff line number Diff line change
Expand Up @@ -253,8 +253,7 @@ def tmp(t):
('add', small_3d, lambda t: [number(0.2, 2, t), small_3d_positive(t)], 'scalar_tensor'),
('sub', small_3d, lambda t: [number(3.14, 3, t)]),
('sub', small_3d, lambda t: [small_3d_positive(t)], 'tensor'),
('mul', small_3d, lambda t: [number(3.14, 3, t)], '', types, False,
"skipIfRocm:CharTensor,ShortTensor"),
('mul', small_3d, lambda t: [number(3.14, 3, t)]),
('mul', small_3d, lambda t: [small_3d_positive(t)], 'tensor'),
('div', small_3d, lambda t: [number(3.14, 3, t)]),
('div', small_3d, lambda t: [small_3d_positive(t)], 'tensor'),
Expand Down Expand Up @@ -337,13 +336,13 @@ def tmp(t):
('max', small_3d_unique, lambda t: [1], 'dim', types, False, skipIfRocm),
('max', small_3d_unique, lambda t: [-1], 'neg_dim', types, False, skipIfRocm),
('max', medium_2d, lambda t: [medium_2d(t)], 'elementwise'),
('min', small_3d_unique, lambda t: [], '', types, False, "skipIfRocm:HalfTensor"),
('min', small_3d_unique, lambda t: []),
('min', small_3d_unique, lambda t: [1], 'dim', types, False, skipIfRocm),
('min', small_3d_unique, lambda t: [-1], 'neg_dim', types, False, skipIfRocm),
('min', medium_2d, lambda t: [medium_2d(t)], 'elementwise'),
('mean', small_3d, lambda t: []),
('mean', small_3d, lambda t: [-1], 'neg_dim', types, False, "skipIfRocm:DoubleTensor,FloatTensor"),
('mean', small_3d, lambda t: [1], 'dim', types, False, "skipIfRocm:DoubleTensor,FloatTensor"),
('mean', small_3d, lambda t: [-1], 'neg_dim'),
('mean', small_3d, lambda t: [1], 'dim'),
('mode', small_3d, lambda t: [], '', types, False, skipIfRocm),
('mode', small_3d, lambda t: [1], 'dim', types, False, skipIfRocm),
('mode', small_3d, lambda t: [-1], 'neg_dim', types, False, skipIfRocm),
Expand Down Expand Up @@ -375,16 +374,14 @@ def tmp(t):
('put_', new_t(2, 3), lambda t: [long_type(t)([]), t([])], 'empty'),
('put_', new_t(2, 2), lambda t: [long_type(t)([[1], [-3]]), t([[1], [2]]), True], 'accumulate'),
('prod', small_2d_oneish, lambda t: []),
('prod', small_3d, lambda t: [1], 'dim', types, False, skipIfRocm),
('prod', small_3d, lambda t: [-1], 'neg_dim', types, False, skipIfRocm),
('prod', small_3d, lambda t: [1], 'dim'),
('prod', small_3d, lambda t: [-1], 'neg_dim'),
('sum', small_2d, lambda t: []),
('sum', small_3d, lambda t: [1], 'dim', types, False, skipIfRocm),
('sum', small_3d, lambda t: [-1], 'neg_dim', types, False, skipIfRocm),
('renorm', small_3d, lambda t: [2, 1, 1], '2_norm', types, False, "skipIfRocm:HalfTensor,DoubleTensor,FloatTensor"),
('renorm', small_3d, lambda t: [2, -1, 1], '2_norm_neg_dim', types,
False, "skipIfRocm:HalfTensor,DoubleTensor,FloatTensor"),
('renorm', small_3d, lambda t: [1.5, 1, 1], '1_5_norm', types,
False, "skipIfRocm:HalfTensor,DoubleTensor,FloatTensor"),
('sum', small_3d, lambda t: [1], 'dim'),
('sum', small_3d, lambda t: [-1], 'neg_dim'),
('renorm', small_3d, lambda t: [2, 1, 1], '2_norm'),
('renorm', small_3d, lambda t: [2, -1, 1], '2_norm_neg_dim'),
('renorm', small_3d, lambda t: [1.5, 1, 1], '1_5_norm'),
('repeat', small_2d, lambda t: [2, 2, 2],),
('size', new_t(1, 2, 3, 4), lambda t: [],),
('size', new_t(1, 2, 3, 4), lambda t: [1], 'dim'),
Expand Down Expand Up @@ -1110,7 +1107,6 @@ def test_gather(self):
def test_gather_dim(self):
self._test_gather(1)

@skipIfRocm
def test_from_sequence(self):
seq = [list(range(i * 4, i * 4 + 4)) for i in range(5)]
reference = torch.arange(0, 20).resize_(5, 4)
Expand Down Expand Up @@ -1846,7 +1842,6 @@ def test_nvtx(self):
torch.cuda.nvtx.mark("bar")
torch.cuda.nvtx.range_pop()

@skipIfRocm
def test_randperm_cuda(self):
cuda = torch.device('cuda:0')

Expand Down
1 change: 1 addition & 0 deletions test/test_nn.py
Original file line number Diff line number Diff line change
Expand Up @@ -2695,6 +2695,7 @@ def test_scatter_cpu(self):
self._test_scatter(torch.randn(4, 4))

@unittest.skipIf(not TEST_MULTIGPU, "multi-GPU not supported")
@skipIfRocm
def test_scatter_gpu(self):
self._test_scatter(torch.randn(4, 4).cuda())

Expand Down