unsloth_compiled_cache/GroupNorm.py

# Unsloth Zoo - Utilities for Unsloth
# Copyright 2023-present Daniel Han-Chen & the Unsloth team. All rights reserved.
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Lesser General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU Lesser General Public License
# along with this program.  If not, see <https://www.gnu.org/licenses/>.
torch_compile_options = {'epilogue_fusion': True, 'max_autotune': False, 'shape_padding': True, 'trace.enabled': False, 'triton.cudagraphs': False}
from torch import Tensor
import torch
from torch.nn import functional as F
from transformers.models.mllama.modeling_mllama import (F)

def forward(self, input: Tensor) -> Tensor:
    return F.group_norm(
        input, self.num_groups, self.weight, self.bias, self.eps).to(input.dtype)