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[hotfix] fix parameter shape checking #6124
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Original file line number | Diff line number | Diff line change |
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@@ -111,11 +111,6 @@ def search_tp_partition_dim(current_shape: torch.Size, original_shape: torch.Siz | |
if length > current_shape[dim]: | ||
partition_dim = dim | ||
break | ||
if partition_dim is not None: | ||
assert ( | ||
original_shape[partition_dim] == tp_size * current_shape[partition_dim] | ||
), f"The parameter isn't evenly distributed among tensor parallel group: \ | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more.
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. original_shape refers to the shape before padding, while tp_size * current_shape refers to the shape after padding. Therefore, the assert will throw an error. |
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shape before sharding {original_shape}, shape after sharding {current_shape}" | ||
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return partition_dim | ||
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original_shape = [128256, 4096]
current_shape = [16064, 4096]
tp_size = 8
16064 * 8 = 128512 != 128256
When I delete 114~118, the size of
model.embed_tokens.weight
is [16064, 4096] in the saved model .