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import re
# Read the file
with open('./mlir/self_attn_with_consts_linalg_dialect.mlir', 'r') as f:
content = f.read()
# Pattern to match tensor.expand_shape without output_shape
pattern = r'tensor\.expand_shape\s+([^[]+)\s+(\[\[.*?\]\])\s*:\s*([^)]+)\s+into\s+(tensor<[^>]+>)'
def add_output_shape(match):
var, indices, input_type, output_type = match.groups()
# Extract dimensions from output tensor type
dims_match = re.search(r'tensor<([^>]+)>', output_type)
if dims_match:
dims_str = dims_match.group(1)
# Extract just the dimension numbers (ignore 'xf32' etc.)
dims = re.findall(r'\d+', dims_str.split('x')[:-1]) # Exclude the type part
if dims:
output_shape = '[' + ', '.join(dims) + ']'
return f'tensor.expand_shape {var} {indices} output_shape {output_shape} : {input_type} into {output_type}'
return match.group(0) # Return original if we can't parse
# Apply the fix
fixed_content = re.sub(pattern, add_output_shape, content, flags=re.MULTILINE)
# Write back
with open('./mlir/self_attn_with_consts_linalg_dialect.mlir', 'w') as f:
f.write(fixed_content)
print("Fixed tensor.expand_shape syntax")
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