Co-authored-by: Jimmy Shong <69131491+Jiminator@users.noreply.github.com> Co-authored-by: Zhangheng <hzh0425@apache.org>
120 lines
3.6 KiB
Python
120 lines
3.6 KiB
Python
from sglang.test.ci.ci_register import register_cpu_ci
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register_cpu_ci(est_time=10, suite="base-a-test-cpu")
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import sys
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sys.modules["libtpu"] = None
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import mmap
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import os
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import unittest
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import torch
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from sglang.srt.mem_cache.pool_host.common import ShmHostTensorAllocator
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from sglang.srt.mem_cache.storage.mmap import alloc_mmap, alloc_shm
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class TestMmapAllocator(unittest.TestCase):
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def test_alloc_mmap(self):
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dims = (10, 1024)
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dtype = torch.float32
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tensor = alloc_mmap(dims, dtype)
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self.assertEqual(tensor.shape, dims)
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self.assertEqual(tensor.dtype, dtype)
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# Verify it has mapped memory address
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self.assertGreater(tensor.data_ptr(), 0)
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def test_alloc_shm(self):
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dims = (10, 1024)
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dtype = torch.float32
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tensor, fd, mm = alloc_shm(dims, dtype)
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self.assertEqual(tensor.shape, dims)
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self.assertEqual(tensor.dtype, dtype)
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self.assertGreater(tensor.data_ptr(), 0)
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self.assertGreaterEqual(fd, 0)
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self.assertIsInstance(mm, mmap.mmap)
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# Check that we can write to the tensor
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tensor[0, 0] = 42.0
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self.assertEqual(tensor[0, 0].item(), 42.0)
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# Check that the FD is open and valid
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try:
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os.lseek(fd, 0, os.SEEK_SET)
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except OSError:
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self.fail("FD is not valid or closed")
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# Cleanup
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mm.close()
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os.close(fd)
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def test_shm_host_tensor_allocator(self):
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allocator = ShmHostTensorAllocator()
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dims = (2, 512)
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dtype = torch.int32
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tensor = allocator.allocate(dims, dtype, "cpu")
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self.assertEqual(tensor.shape, dims)
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self.assertEqual(tensor.dtype, dtype)
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self.assertIsNotNone(allocator.fd)
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self.assertGreaterEqual(allocator.fd, 0)
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# Write data and check
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tensor[1, 1] = 99
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self.assertEqual(tensor[1, 1].item(), 99)
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# Test destructor cleans up fd
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fd = allocator.fd
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# Trigger GC / deletion
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del allocator
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# Verify fd is closed
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with self.assertRaises(OSError):
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os.fstat(fd)
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def test_alloc_shm_unlinked(self):
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dims = (4, 256)
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dtype = torch.float32
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tensor, fd, mm = alloc_shm(dims, dtype)
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# On Linux, the path of an unlinked fd shows up in /proc/self/fd/
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# with a ' (deleted)' suffix.
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fd_path = f"/proc/self/fd/{fd}"
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try:
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resolved_path = os.readlink(fd_path)
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self.assertIn("sglang_host_pool_", resolved_path)
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self.assertTrue(resolved_path.endswith(" (deleted)"))
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except OSError:
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# If procfs is not available or readlink fails, fallback to direct path existence check
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self.assertFalse(os.path.exists(f"/dev/shm/sglang_host_pool_"))
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# Cleanup
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mm.close()
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os.close(fd)
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def test_alloc_shm_hugepage_warning(self):
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from sglang.srt.environ import envs
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envs.SGLANG_HUGEPAGE_SIZE.override("2MB")
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try:
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# Should succeed by falling back to plain page size mapping
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dims = (2, 2)
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tensor, fd, mm = alloc_shm(dims, torch.float32)
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self.assertEqual(tensor.shape, dims)
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mm.close()
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os.close(fd)
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finally:
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envs.SGLANG_HUGEPAGE_SIZE.override(None)
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def test_shm_host_tensor_allocator_invalid_device(self):
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allocator = ShmHostTensorAllocator()
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with self.assertRaises(AssertionError) as ctx:
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allocator.allocate((2, 2), torch.float32, device="cuda")
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self.assertIn("only supports CPU allocations", str(ctx.exception))
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if __name__ == "__main__":
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unittest.main()
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