Fix issue with batch_size > 1 on some models. (#12892)
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@@ -144,9 +144,9 @@ def apply_mod(tensor, m_mult, m_add=None, modulation_dims=None):
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return tensor * m_mult
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return tensor * m_mult
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else:
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else:
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for d in modulation_dims:
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for d in modulation_dims:
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tensor[:, d[0]:d[1]] *= m_mult[:, d[2]]
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tensor[:, d[0]:d[1]] *= m_mult[:, d[2]:d[2] + 1]
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if m_add is not None:
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if m_add is not None:
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tensor[:, d[0]:d[1]] += m_add[:, d[2]]
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tensor[:, d[0]:d[1]] += m_add[:, d[2]:d[2] + 1]
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return tensor
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return tensor
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