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VLLM Workaround #2165

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VLLM Workaround #2165

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15 changes: 8 additions & 7 deletions torchao/prototype/mx_formats/utils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -35,13 +35,14 @@ def to_blocked(input_matrix) -> Tensor:
padded_cols = n_col_blocks * 4

padded = input_matrix
# if (rows, cols) != (padded_rows, padded_cols):
padded = torch.zeros(
(padded_rows, padded_cols),
device=input_matrix.device,
dtype=input_matrix.dtype,
)
padded[:rows, :cols] = input_matrix
# TODO This is to work around VLLM's usage of compile w/ dynamic shapes
if torch.compiler.is_compiling() or (rows, cols) != (padded_rows, padded_cols):
padded = torch.zeros(
(padded_rows, padded_cols),
device=input_matrix.device,
dtype=input_matrix.dtype,
)
padded[:rows, :cols] = input_matrix

# Rearrange the blocks
blocks = padded.view(n_row_blocks, 128, n_col_blocks, 4).permute(0, 2, 1, 3)
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