# Copyright 2026 The OpenXLA 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
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# =============================================================================

"""NCCL (pronounced "Nickel") is a multi-GPU collective communications library that provides routines such as all-gather, all-reduce, broadcast, reduce, reduce-scatter, as well as point-to-point send and receive that are optimized to achieve high bandwidth and low latency over PCIe and NVLink high-speed interconnects within a node and over InfiniBand or TCP/IP sockets across nodes."""

load("//third_party:repo.bzl", "tf_http_archive", "tf_mirror_urls")

def repo():
    tf_http_archive(
        name = "nccl_archive",
        build_file = "//third_party/nccl:archive.BUILD",
        patch_file = ["//third_party/nccl:archive.patch"],
        sha256 = "e67239212c395bfdb398a7519491840d06fdf6b599c299f97c7ed0109777bba1",
        strip_prefix = "nccl-2.29.7-1",
        urls = tf_mirror_urls("https://github.com/NVIDIA/nccl/archive/refs/tags/v2.29.7-1.tar.gz"),
    )