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fix is_contiguous_logic issue in dlpack #668

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fix is_contiguous_logic issue in dlpack #668

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93e52c9
fix is_contiguous_logic issue
wjddn279 May 20, 2024
c29e160
fix test for shape is one
wjddn279 May 20, 2024
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4 changes: 2 additions & 2 deletions src/python/library/tests/test_cuda_shared_memory.py
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Original file line number Diff line number Diff line change
Expand Up @@ -42,7 +42,7 @@ class DLPackTest(unittest.TestCase):
def test_from_gpu(self):
# Create GPU tensor via PyTorch and CUDA shared memory region with
# enough space
gpu_tensor = torch.ones(4, 4).cuda(0)
gpu_tensor = torch.ones(1, 4, 4).cuda(0)
byte_size = 64
shm_handle = cudashm.create_shared_memory_region("cudashm_data", byte_size, 0)

Expand All @@ -51,7 +51,7 @@ def test_from_gpu(self):

# Make sure the DLPack specification of the shared memory region can
# be consumed by PyTorch
smt = cudashm.as_shared_memory_tensor(shm_handle, "FP32", [4, 4])
smt = cudashm.as_shared_memory_tensor(shm_handle, "FP32", [1, 4, 4])
generated_torch_tensor = torch.from_dlpack(smt)
self.assertTrue(torch.allclose(gpu_tensor, generated_torch_tensor))

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3 changes: 3 additions & 0 deletions src/python/library/tritonclient/utils/_dlpack.py
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Expand Up @@ -227,6 +227,9 @@ def is_contiguous_data(
calculated_stride = 1
# iterate stride in reverse order [ndim-1, -1)
for i in reversed(range(ndim)):
# don't check stride when shape is 1
if shape[i] == 1:
continue
if stride[i] != calculated_stride:
return False
calculated_stride *= shape[i]
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