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Support buffer size argument in broadcast_str util (#988)
Summary: Pull Request resolved: #988 This commit adds a new test case to the DistributedTest class to test the broadcast_str function with a fixed buffer size. The test case checks that the broadcasted value is correct when the fixed buffer size is larger than, equal to, and smaller than the length of the input string. Note: This commit also includes some minor changes to the existing test cases to make them more robust. Changes: - Added new test case test_broadcast_str_fixed_buffer_size to DistributedTest - Updated existing test cases to use spawn_multi_process instead of spawn Error: The test case is currently failing due to an "enforce fail" error in the Gloo backend. Further investigation is needed to determine the root cause of this error. Reviewed By: JKSenthil Differential Revision: D72077879 fbshipit-source-id: cc334a6fc04371d3cc7da9f583d4fec3221dad59
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tests/utils/test_distributed.py

Lines changed: 19 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -573,6 +573,25 @@ def get_backend(_) -> str:
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mock_destroy_process_group.assert_called_once_with(pg)
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@skip_if_not_distributed
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def test_broadcast_str_fixed_buffer_size(self) -> None:
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spawn_multi_process(2, "gloo", self._test_broadcast_str_fixed_buffer_size)
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@staticmethod
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def _test_broadcast_str_fixed_buffer_size() -> None:
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val = None
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if dist.get_rank() == 0:
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val = "foo"
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# Test case 1: fixed_buffer_size == len(val)
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broadcasted_val = broadcast_str(val, fixed_buffer_size=3)
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tc = unittest.TestCase()
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tc.assertEqual(broadcasted_val, "foo")
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# Test case 2: fixed_buffer_size > len(val)
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broadcasted_val = broadcast_str(val, fixed_buffer_size=10)
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tc.assertEqual(broadcasted_val, "foo")
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@skip_if_not_distributed
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def test_broadcast_str(self) -> None:
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spawn_multi_process(2, "gloo", self._test_broadcast_str)

torchtnt/utils/distributed.py

Lines changed: 37 additions & 12 deletions
Original file line numberDiff line numberDiff line change
@@ -688,6 +688,7 @@ def broadcast_str(
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val: Optional[str],
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src: int = 0,
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process_group: Optional[dist.ProcessGroup] = None,
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fixed_buffer_size: Optional[int] = None,
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) -> Optional[str]:
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"""
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Broadcasts a string from a source rank to all other ranks in a process group.
@@ -698,18 +699,23 @@ def broadcast_str(
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val: the string to broadcast
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src: the source rank to broadcast from
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process_group: the process group to broadcast in. Defaults to the WORLD process group.
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fixed_buffer_size (int, optional): The fixed buffer size to use. Defaults to none.
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If provided, it reduces the number of collective calls by padding the string to a fixed length.
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Returns:
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The broadcasted string.
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Note:
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This function issues two collective calls, one to broadcast the size of the serialized string and
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one to broadcast the string itself. This can theoretically be limited to one collective call
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by hardcoding maximum buffer size to use, and filling unused buffer slots with preselected
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null tokens. However, this is not implemented to avoid unnecessary complexity.
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one to broadcast the string itself. If you want to avoid two collective calls, you can pass a fixed_buffer_size
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parameter. This will cause the string to be padded to the fixed length and only one broadcast will be performed.
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However, this comes with the cost of extra memory usage.
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If the string length is less than the buffer size, src rank will terminate early. However, receiving ranks may see collective hang, as expecting data from src rank. Please ensure the buffer size is large enough to avoid this issue.
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"""
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if not dist.is_available() or not dist.is_initialized():
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return val
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if fixed_buffer_size is not None and fixed_buffer_size <= 0:
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raise ValueError(f"Expected fixed_buffer_size > 0, got {fixed_buffer_size}")
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rank = dist.get_rank(group=process_group)
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@@ -720,9 +726,10 @@ def broadcast_str(
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else "cpu"
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)
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723-
# dummy instantiation to keep pyre happy
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# Initialize buffer and buffer_length for all ranks
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buffer = torch.empty((1), dtype=torch.uint8)
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buffer_length = torch.empty((1), dtype=torch.int, device=device)
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if rank == src:
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assert (
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val is not None
@@ -733,17 +740,35 @@ def broadcast_str(
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buffer = buffer.to(device=device)
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buffer_length = torch.tensor((len(buffer)), dtype=torch.int, device=device)
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if fixed_buffer_size is not None:
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if len(buffer) > fixed_buffer_size:
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raise ValueError(
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f"Serialized string size ({len(buffer)}) exceeds buffer size ({fixed_buffer_size})"
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)
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# Pad the buffer with a special value (e.g., 0) to indicate the end of the string
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buffer = F.pad(buffer, (0, fixed_buffer_size - len(buffer)), value=0)
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# first broadcast the buffer length so receiving ranks can allocate the correct amount of memory
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dist.broadcast(buffer_length, src=src, group=process_group)
738-
if rank != src:
739-
size = int(buffer_length.item())
740-
buffer = torch.empty((size), dtype=torch.uint8, device=device)
752+
if fixed_buffer_size is None:
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dist.broadcast(buffer_length, src=src, group=process_group)
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742-
# now broadcast string
743-
dist.broadcast(buffer, src=src, group=process_group)
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if rank != src:
756+
size = int(buffer_length.item())
757+
buffer = torch.empty((size), dtype=torch.uint8, device=device)
744758

745-
# convert tensor to string
746-
string = bytes(buffer.tolist()).decode(encoding="utf-8")
759+
elif rank != src:
760+
buffer = torch.empty((fixed_buffer_size), dtype=torch.uint8, device=device)
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762+
dist.broadcast(buffer, src=src, group=process_group)
763+
buffer_list = buffer.tolist()
764+
null_index = next(
765+
(i for i, x in enumerate(buffer_list) if x == 0), len(buffer_list)
766+
)
767+
if null_index == 0:
768+
truncated_buffer = buffer_list
769+
else:
770+
truncated_buffer = buffer_list[:null_index]
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string = bytes(truncated_buffer).decode(encoding="utf-8", errors="strict")
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return string
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