unsloth/unsloth/kernels/__init__.py
Daniel Han 480f2ef31c
Gemma faster inference (#987)
* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* update token retrieval logic (#952)

* Fix DPO (#947)

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update _utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* Update tokenizer_utils.py

* update hf token retrieval logic

---------

Co-authored-by: Daniel Han <danielhanchen@gmail.com>

* Update llama.py

* get_token

* Update README.md

* Update gemma2.py

* Update rms_layernorm.py

* synchronize

* Update gemma2.py

* Update rms_layernorm.py

* Update rms_layernorm.py

* Update rms_layernorm.py

* layernorm

* Update rms_layernorm.py

* Update gemma2.py

* Update rms_layernorm.py

* Update rms_layernorm.py

* revert

* Gemma

* Update rms_layernorm.py

* Update rms_layernorm.py

* Update rms_layernorm.py

* Update rms_layernorm.py

* Update rms_layernorm.py

* Update rms_layernorm.py

* Update rms_layernorm.py

* Update rms_layernorm.py

* Update rms_layernorm.py

* Update rms_layernorm.py

* Update rms_layernorm.py

* Update rms_layernorm.py

* Update rms_layernorm.py

* Update rms_layernorm.py

* Update rms_layernorm.py

* Update rms_layernorm.py

* Update rms_layernorm.py

* Update rms_layernorm.py

* Update rms_layernorm.py

* Update rms_layernorm.py

* Update rms_layernorm.py

* Update rms_layernorm.py

* Update rms_layernorm.py

* Update gemma2.py

* Change UnslothTrainingArguments base class to SFTConfig (#979)

* Cohere

* Update trainer.py

* Cohere

* Cohere

* New models

* Update llama.py

* Update llama.py

* Update cohere.py

* Update llama.py

* Update cohere.py

* retry

* Update fast_lora.py

* Update llama.py

* Update fast_lora.py

* Update llama.py

* Update llama.py

* Update cross_entropy_loss.py

* _apply_lora_mlp

* Update _utils.py

* Gemma fixes

* Update llama.py

* Update flex_attention.py

---------

Co-authored-by: Hafedh <70411813+not-lain@users.noreply.github.com>
Co-authored-by: Tuan Pham <82665400+vTuanpham@users.noreply.github.com>
2024-09-03 13:52:12 -07:00

52 lines
1.7 KiB
Python

# Copyright 2023-present Daniel Han-Chen & the Unsloth team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from .cross_entropy_loss import fast_cross_entropy_loss
from .rms_layernorm import fast_rms_layernorm
from .rope_embedding import fast_rope_embedding, inplace_rope_embedding
from .swiglu import swiglu_fg_kernel, swiglu_DWf_DW_dfg_kernel
from .geglu import (
geglu_exact_forward_kernel,
geglu_exact_backward_kernel,
geglu_approx_forward_kernel,
geglu_approx_backward_kernel,
)
from .fast_lora import (
get_lora_parameters,
get_lora_parameters_bias,
apply_lora_mlp_swiglu,
apply_lora_mlp_geglu_exact,
apply_lora_mlp_geglu_approx,
apply_lora_qkv,
apply_lora_o,
)
from .utils import fast_dequantize, fast_gemv, QUANT_STATE, fast_linear_forward, matmul_lora
from .flex_attention import (
HAS_FLEX_ATTENTION,
slow_attention_softcapping,
slow_inference_attention_softcapping,
)
if HAS_FLEX_ATTENTION:
from .flex_attention import (
FLEX_ATTENTION_PADDING,
)
pass
try:
print("🦥 Unsloth: Will patch your computer to enable 2x faster free finetuning.")
except:
print("Unsloth: Will patch your computer to enable 2x faster free finetuning.")
pass