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Fix for Mask Patch Failure and Quantization Issues in Latest transformers Versions #368

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Fix for Mask Patch Failure and Quantization Issues in Latest transformers Versions #368

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Update torch2coreml.py
Aintor Nov 10, 2024
4ef83f1
Update torch2coreml.py
Aintor Nov 12, 2024
7e3df29
Update torch2coreml.py
Aintor Nov 12, 2024
50bb4c4
Update torch2coreml.py
Aintor Nov 12, 2024
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1 change: 1 addition & 0 deletions python_coreml_stable_diffusion/torch2coreml.py
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Expand Up @@ -336,6 +336,7 @@ def patched_make_causal_mask(input_ids_shape, dtype, device, past_key_values_len
return mask[None, None, :, :].expand(bsz, 1, tgt_len, tgt_len + past_key_values_length)

modeling_clip._make_causal_mask = patched_make_causal_mask
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modeling_clip._create_4d_causal_attention_mask = patched_make_causal_mask

def convert_text_encoder(text_encoder, tokenizer, submodule_name, args):
""" Converts the text encoder component of Stable Diffusion
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