Nightly (#299)
* Update llama.py * Update llama.py * Update gemma.py * correct_dtype * Update gemma.py * Update cross_entropy_loss.py * Update cross_entropy_loss.py * Chat Templates * Update README.md * Update README.md * Update llama.py * DoRA * Update _utils.py * Update chat_templates.py * Update llama.py * Hotfix - fix DoRA, Gemma prompt template (#202) (#203) * Update save.py * saving * Update save.py * Update save.py * Update save.py * Update save.py * Update save.py * Update save.py * Update save.py * Update save.py * Update save.py * Update save.py * Update save.py * Update save.py * Update save.py * Update __init__.py * Update save.py * Update save.py * Update save.py * save * trainer * spaces * original * Gemma * Update pyproject.toml * Update mapper.py * Update fast_lora.py * FastGemmaModel * model_type * Update llama.py * Update llama.py * Update gemma.py * Update gemma.py * Update gemma.py * Update llama.py * Update llama.py * Update fast_lora.py * Update llama.py * Update llama.py * Update cross_entropy_loss.py * Update llama.py * Update llama.py * gemma * Update llama.py * Update llama.py * Update llama.py * Update llama.py * Update fast_lora.py * Update fast_lora.py * Fast CE Loss * Update cross_entropy_loss.py * Update cross_entropy_loss.py * Update cross_entropy_loss.py * Update cross_entropy_loss.py * Update cross_entropy_loss.py * Update cross_entropy_loss.py * Update cross_entropy_loss.py * Update llama.py * Update llama.py * Update llama.py * Update llama.py * CE * Update llama.py * Update llama.py * Update cross_entropy_loss.py * Update geglu.py * Update cross_entropy_loss.py * revert * Update llama.py * Update llama.py * norm * Update gemma.py * Update gemma.py * position_ids * Update gemma.py * Update gemma.py * pos * Update llama.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update cross_entropy_loss.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update llama.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update llama.py * Update cross_entropy_loss.py * Update cross_entropy_loss.py * revert * revert * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update llama.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update cross_entropy_loss.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update llama.py * Update llama.py * Update llama.py * Update llama.py * rope * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * llama * Update llama.py * gemma * Update cross_entropy_loss.py * Update cross_entropy_loss.py * Update cross_entropy_loss.py * Update cross_entropy_loss.py * Update cross_entropy_loss.py * Update cross_entropy_loss.py * Update cross_entropy_loss.py * Update cross_entropy_loss.py * Update cross_entropy_loss.py * Update cross_entropy_loss.py * Update cross_entropy_loss.py * Update cross_entropy_loss.py * Update cross_entropy_loss.py * Update cross_entropy_loss.py * Update cross_entropy_loss.py * Update cross_entropy_loss.py * Update cross_entropy_loss.py * Update cross_entropy_loss.py * Update cross_entropy_loss.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update save.py * RoPE * Update llama.py * Update llama.py * Update llama.py * Update gemma.py * correct_dtype * Update gemma.py * Update cross_entropy_loss.py * Update cross_entropy_loss.py * Chat Templates * Update README.md * Update README.md * Update llama.py * DoRA * Update _utils.py * Update chat_templates.py * Update pyproject.toml * Small fixes * Update pyproject.toml * Approx gelu * Update geglu.py * Approx gelu * Update llama.py * Update __init__.py * Update __init__.py * Update _utils.py * Update geglu.py * Update gemma.py * Update rms_layernorm.py * Update rms_layernorm.py * Update rms_layernorm.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Update gemma.py * Fix Gemma merging * Update rms_layernorm.py * Update gemma.py * Update pyproject.toml * Layernorms * Gemma precision * Update gemma.py * sqrt * Update gemma.py * Update save.py * RoPE and Gemma precision * Update rms_layernorm.py * Fix warning * Update chat_templates.py * Update chat_templates.py * Update save.py * Update save.py * Update save.py * Update chat_templates.py * Update llama.py * model_name * Update loader.py * Tokenizer overwritten * Update llama.py * Update llama.py * Update llama.py * Update save.py * Accuracy * Revert * Update save.py * Update fast_lora.py * Update fast_lora.py * Update fast_lora.py * Update fast_lora.py * Update fast_lora.py * Update chat_templates.py * Update save.py * Update save.py * Update llama.py * Update llama.py * Account for DoRA * Update llama.py * Update save.py * GGUF incorrect * Update save.py * Update pyproject.toml * kaggle new * Update pyproject.toml * Update pyproject.toml * upcasting * Fix Colab * Update pyproject.toml * Update pyproject.toml * Update pyproject.toml * Update pyproject.toml * Update pyproject.toml * Update pyproject.toml * Update pyproject.toml * Update pyproject.toml * Update chat_templates.py * Update chat_templates.py * Update chat_templates.py * Update chat_templates.py * Update chat_templates.py * Update pyproject.toml * Update pyproject.toml * Update pyproject.toml * Update rope_embedding.py * Update rope_embedding.py * Fix bugs * Update fast_lora.py * Update fast_lora.py * Update README.md * Update README.md * GGUF * Update save.py * Update save.py * Update save.py * Update save.py * Update README.md * Update README.md * Bugs * Update fast_lora.py * Update pyproject.toml * Update fast_lora.py * Update __init__.py * Update fast_lora.py * dtype * Update llama.py * Update llama.py * Update llama.py * dtype * Update mistral.py * trust_remote_code * lm_head * Update llama.py * save_pretrained_settings * Update save.py * Update save.py * Update save.py * Update save.py * Update save.py * Update save.py * Update save.py * Update save.py * Update save.py * Update save.py * Update save.py * Update save.py * state_dict * Update save.py * whoami * Update llama.py * Update save.py * Update llama.py * Patch tokenizer * Update chat_templates.py * Heal tokenizers * Update chat_templates.py * Update mapper.py * Update tokenizer_utils.py * Update tokenizer_utils.py * Update tokenizer_utils.py * Update tokenizer_utils.py * Update tokenizer_utils.py * Update chat_templates.py * tokenizer patching * patch_tokenizer * Update chat_templates.py * Update tokenizer_utils.py * Update chat_templates.py * Update chat_templates.py * Update chat_templates.py * Update tokenizer_utils.py * Edit * Update mistral.py * Update mistral.py * Stats * Update mistral.py * attention_mask * Update llama.py * Update llama.py * batch * Temp fix batch inference * Update llama.py * Update gemma.py * Fix inference * swiglu * Update llama.py * Update llama.py * Update llama.py * Update llama.py * Update mistral.py * Update llama.py * fast inference * model * Update llama.py * Update llama.py * Update llama.py * Update llama.py * Update llama.py * Update llama.py * Update llama.py * Update llama.py * Update llama.py * Update llama.py * Update llama.py * Update llama.py * Update llama.py * Update utils.py * Update llama.py * Update utils.py * inference * Update llama.py * Update llama.py * Update llama.py * overhead * Update llama.py * Update llama.py * compile * Update gemma.py * Update llama.py * Update llama.py * Update llama.py * Update llama.py * Update utils.py * Update utils.py * lora mamtul
This commit is contained in:
Daniel Han
GitHub
parent
bf5619378a
commit
073bbdf48a
3 changed files with 29 additions and 29 deletions
|
|
@ -30,4 +30,4 @@ from .fast_lora import (
|
|||
apply_lora_qkv,
|
||||
apply_lora_o,
|
||||
)
|
||||
from .utils import fast_dequantize, fast_gemv, QUANT_STATE, fast_linear_forward
|
||||
from .utils import fast_dequantize, fast_gemv, QUANT_STATE, fast_linear_forward, matmul_lora
|
||||
|
|
|
|||
|
|
@ -13,32 +13,7 @@
|
|||
# limitations under the License.
|
||||
|
||||
import torch
|
||||
from .utils import fast_dequantize, QUANT_STATE, get_lora_parameters
|
||||
|
||||
|
||||
def matmul_lora(X, W, W_quant, A, B, s, out = None):
|
||||
dtype = X.dtype
|
||||
W = fast_dequantize(W.t(), W_quant)
|
||||
|
||||
if X.dim() == 3:
|
||||
batch, seq_len, d = X.shape
|
||||
X = X.view(-1, X.shape[-1])
|
||||
reshape = True
|
||||
else:
|
||||
reshape = False
|
||||
pass
|
||||
|
||||
out = torch.matmul(X, W, out = out)
|
||||
if W_quant is not None: del W
|
||||
|
||||
if A is not None:
|
||||
# LoRA is enabled
|
||||
A, B = A.t(), B.t()
|
||||
out += (X @ A.to(dtype)) @ (s * B.to(dtype))
|
||||
pass
|
||||
|
||||
return out.view(batch, seq_len, -1) if reshape else out
|
||||
pass
|
||||
from .utils import fast_dequantize, QUANT_STATE, get_lora_parameters, matmul_lora
|
||||
|
||||
|
||||
class LoRA_MLP(torch.autograd.Function):
|
||||
|
|
|
|||
|
|
@ -182,8 +182,8 @@ pass
|
|||
def fast_linear_forward(proj, X, temp_lora = None, out = None):
|
||||
|
||||
W, W_quant, lora_A, lora_B, lora_S = get_lora_parameters(proj)
|
||||
|
||||
bsz, q_len, in_dim = X.shape
|
||||
if q_len != 1: return matmul_lora(X, W, W_quant, lora_A, lora_B, lora_S)
|
||||
|
||||
if W_quant is None:
|
||||
out = torch.matmul(X, W.t(), out = out)
|
||||
|
|
@ -203,7 +203,7 @@ def fast_linear_forward(proj, X, temp_lora = None, out = None):
|
|||
lora_A._fast_lora = lora_A.to(dtype)
|
||||
lora_B._fast_lora = lora_B.to(dtype)
|
||||
pass
|
||||
|
||||
|
||||
if bsz == 1:
|
||||
out = out.view(out_dim)
|
||||
temp_lora = torch.mv(lora_A._fast_lora, X.ravel(), out = temp_lora)
|
||||
|
|
@ -218,3 +218,28 @@ def fast_linear_forward(proj, X, temp_lora = None, out = None):
|
|||
|
||||
return out
|
||||
pass
|
||||
|
||||
|
||||
def matmul_lora(X, W, W_quant, A, B, s, out = None):
|
||||
dtype = X.dtype
|
||||
W = fast_dequantize(W.t(), W_quant)
|
||||
|
||||
if X.dim() == 3:
|
||||
batch, seq_len, d = X.shape
|
||||
X = X.view(-1, X.shape[-1])
|
||||
reshape = True
|
||||
else:
|
||||
reshape = False
|
||||
pass
|
||||
|
||||
out = torch.matmul(X, W, out = out)
|
||||
if W_quant is not None: del W
|
||||
|
||||
if A is not None:
|
||||
# LoRA is enabled
|
||||
A, B = A.t(), B.t()
|
||||
out += (X @ A.to(dtype)) @ (s * B.to(dtype))
|
||||
pass
|
||||
|
||||
return out.view(batch, seq_len, -1) if reshape else out
|
||||
pass
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue