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Update rms_layernorm.py

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This commit is contained in:
Daniel Han 2024-11-04 23:28:57 -08:00
commit fd07c2ee73
1 changed files with 4 additions and 14 deletions
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18
unsloth/kernels/rms_layernorm.py
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@ -15,11 +15,7 @@
import triton
import triton.language as tl
import torch
from .utils import (
calculate_settings,
MAX_FUSED_SIZE,
next_power_of_2,
)
from .utils import calculate_settings
@triton.jit
@ -147,19 +143,13 @@ class Fast_RMS_Layernorm(torch.autograd.Function):
n_cols : int
n_rows, n_cols = X.shape
BLOCK_SIZE : int = n_cols
if BLOCK_SIZE > MAX_FUSED_SIZE:
raise RuntimeError(f"Cannot launch Triton kernel since n = {n_cols} exceeds "\
f"the maximum CUDA blocksize = {MAX_FUSED_SIZE}.")
num_warps : int = 4
if BLOCK_SIZE >= 32768: num_warps = 32
elif BLOCK_SIZE >= 8192: num_warps = 16
elif BLOCK_SIZE >= 2048: num_warps = 8
Y = torch.empty((n_rows, n_cols), dtype = X.dtype, device = "cuda:0")
r = torch.empty(n_rows, dtype = torch.float32, device = "cuda:0")
BLOCK_SIZE : int
num_warps : int
if not gemma:
BLOCK_SIZE, num_warps = calculate_settings(n_cols)
_rms_layernorm_forward[(n_rows,)](
Y, Y.stride(0),
X, X.stride(0),