wehub-resource-sync
58 lines
1.7 KiB
Python
58 lines
1.7 KiB
Python
# Copyright (c) 2025 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from __future__ import annotations
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from typing import TYPE_CHECKING
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from paddle import _C_ops
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from paddle.base.framework import in_dynamic_or_pir_mode
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from paddle.base.layer_helper import LayerHelper
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if TYPE_CHECKING:
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from paddle import Tensor
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def moe_combine_no_weight(
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x: Tensor,
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combine_weight: Tensor,
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scatter_index: Tensor,
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epsilon: float = 1e-15,
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name: str | None = None,
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) -> Tensor:
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"""
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Args:
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x: Input tensor [num_tokens, hidden_size]
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scatter_index: Scatter indices [seq_len, k] dtype=int32
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Returns:
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Output Combined output [seq_len, hidden_size]
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"""
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if in_dynamic_or_pir_mode():
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return _C_ops.moe_combine_no_weight(
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x, combine_weight, scatter_index, epsilon
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)
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helper = LayerHelper('moe_combine_no_weight', **locals())
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y = helper.create_variable_for_type_inference(dtype=x.dtype)
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inputs = {
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'x': x,
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'combine_weight': combine_weight,
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'scatter_index': scatter_index,
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'epsilon': epsilon,
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}
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helper.append_op(
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type='moe_combine_no_weight', inputs=inputs, outputs={'y': y}
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)
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return y
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