Pith-Train/NOTICE at main · mlc-ai/Pith-Train · GitHub

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PithTrain
Copyright 2026 PithTrain Contributors

This product includes software derived from the DualPipe project
(https://github.com/deepseek-ai/DualPipe), which is licensed under
the MIT License. The original copyright notice is reproduced below.

================================================================================

DualPipe - MIT License

Copyright (c) 2025 DeepSeek

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

================================================================================

The following files in this repository contain code derived from or closely
adapted from the original DualPipe project:

  pithtrain/dualpipe/dualpipev.py
    - The DualPipeV class (scheduling algorithm, P2P communication methods,
      and state management) is derived from dualpipe/dualpipev.py in the
      original repository. The overlapped_forward_backward() function and
      FSDP/FP8 integration are original additions.

  pithtrain/dualpipe/comm.py
    - P2P communication helpers (set_p2p_tensor_shapes, set_p2p_tensor_dtype,
      append_irecv, append_isend) are derived from dualpipe/comm.py in the
      original repository.

  pithtrain/dualpipe/utils.py
    - WeightGradStore, run_backward, chunk_tensor, cat_tensor, scatter, and
      gather are derived from dualpipe/utils.py in the original repository.
      FP8WeightCacheControl and diagnostic utilities are original additions.

A copy of the original MIT license is also retained at:
  pithtrain/dualpipe/LICENSE

================================================================================

NVIDIA TransformerEngine - Apache License 2.0

Copyright (c) 2022-2026, NVIDIA CORPORATION & AFFILIATES. 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.

The following code is adapted from NVIDIA TransformerEngine
(https://github.com/NVIDIA/TransformerEngine):

  pithtrain/operators/cross_entropy.py
    - The fused cross-entropy Triton kernel and autograd wrapper are
      adapted from transformer_engine/common/triton/cross_entropy.py
      and transformer_engine/pytorch/triton/cross_entropy.py. The
      online-softmax and cross-entropy passes are fused into a single
      kernel; tensor-parallelism, label-smoothing, and distributed
      support are removed.