wehub-resource-sync
62 lines
1.9 KiB
Python
62 lines
1.9 KiB
Python
# Copyright (c) 2025 PaddlePaddle Authors. 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 __future__ import annotations
|
|
|
|
from typing import TYPE_CHECKING
|
|
|
|
from paddle import _C_ops
|
|
|
|
# from ....framework import LayerHelper, in_dynamic_or_pir_mode
|
|
from paddle.base.framework import in_dynamic_or_pir_mode
|
|
from paddle.base.layer_helper import LayerHelper
|
|
|
|
if TYPE_CHECKING:
|
|
from paddle import Tensor
|
|
|
|
|
|
def moe_combine(
|
|
x: Tensor,
|
|
combine_weights: Tensor,
|
|
scatter_index: Tensor,
|
|
name: str | None = None,
|
|
) -> Tensor:
|
|
"""
|
|
Args:
|
|
x: Input tensor [seq, dim]
|
|
combine_weights: Combination weights [s, k]
|
|
scatter_index: Scatter indices [k, s] dtype=int32
|
|
|
|
Returns:
|
|
Output Combined output [s, dim]
|
|
"""
|
|
if in_dynamic_or_pir_mode():
|
|
if not (
|
|
x.process_mesh is None
|
|
and combine_weights.process_mesh is None
|
|
and scatter_index.process_mesh is None
|
|
):
|
|
# auto parallel mode
|
|
return _C_ops.moe_combine_auto(x, combine_weights, scatter_index)
|
|
return _C_ops.moe_combine(x, combine_weights, scatter_index)
|
|
helper = LayerHelper('moe_combine', **locals())
|
|
y = helper.create_variable_for_type_inference(dtype=x.dtype)
|
|
inputs = {
|
|
'x': x,
|
|
'combine_weights': combine_weights,
|
|
'scatter_index': scatter_index,
|
|
}
|
|
helper.append_op(type='moe_combine', inputs=inputs, outputs={'y': y})
|
|
return y
|