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Update llama.py

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This commit is contained in:
Daniel Han 2024-09-25 19:38:01 -07:00
commit 7ca67313d0
1 changed files with 16 additions and 17 deletions
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33
unsloth/models/llama.py
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@ -855,8 +855,6 @@ def LlamaModel_fast_forward_inference(
hidden_states = self.model.embed_tokens(input_ids)
hidden_states = hidden_states.to(self.config.torch_dtype)
bsz, q_len, hd = hidden_states.shape
import os
os.environ["past_key_values_all"] = past_key_values
seq_len = past_key_values[0][0].shape[-2]
if bsz != 1:
attention_mask = _prepare_4d_causal_attention_mask_for_sdpa(
@ -1372,8 +1370,6 @@ def _wrap_fast_inference(generate, device_type, dtype, model):
# Wraps inference with bfloat16 / float16
@torch.inference_mode
def _fast_generate(*args, **kwargs):
print(args)
print(kwargs)
# Set a flag for generation!
internal_model = model
@ -1384,25 +1380,28 @@ def _wrap_fast_inference(generate, device_type, dtype, model):
internal_model._flag_for_generation = True
# Must patch accelerate for Xformers
# if accelerate_new_send_to_device is not None:
# import accelerate.utils.operations
# accelerate.utils.operations.send_to_device = accelerate_new_send_to_device
# pass
if accelerate_new_send_to_device is not None:
import accelerate.utils.operations
accelerate.utils.operations.send_to_device = accelerate_new_send_to_device
pass
# For newer HF
# kwargs["cache_implementation"] = "dynamic"
if SUPPORTS_LLAMA32:
kwargs["cache_implementation"] = "hybrid"
else:
kwargs["cache_implementation"] = "dynamic"
# For num_logits_to_keep
# kwargs["num_logits_to_keep"] = 1
kwargs["num_logits_to_keep"] = 1
# # Remove token_type_ids
# kwargs.pop("token_type_ids", None)
# Remove token_type_ids
kwargs.pop("token_type_ids", None)
# # Check pad_token
# model_eos_token_id = getattr(model.config, "eos_token_id", None)
# if model_eos_token_id is not None and hasattr(model_eos_token_id, "__iter__"):
# model_eos_token_id = model_eos_token_id[0]
# Check pad_token
model_eos_token_id = getattr(model.config, "eos_token_id", None)
if model_eos_token_id is not None and hasattr(model_eos_token_id, "__iter__"):
model_eos_token_id = model_eos_token_id[0]
# kwargs["pad_token_id"] = kwargs.pop("pad_token_id", model_eos_token_id)
kwargs["pad_token_id"] = kwargs.pop("pad_token_id", model_eos_token_id)
# Set pad token
# old_pad_token_id = getattr(model.config, "pad_token_id", None)