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chore: import upstream snapshot with attribution
2026-07-13 12:14:16 +08:00

43 lines
1.4 KiB
Python

# Copyright 2023 The TensorFlow 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.
# ==============================================================================
load("@python_version_repo//:py_version.bzl", "REQUIREMENTS")
load("@rules_python//python:pip.bzl", "compile_pip_requirements")
# TODO(ybaturina): Remove once TF is migrated to CUDA 12.9.
genrule(
name = "nvidia_constraints",
srcs = ["nvidia-requirements.txt"],
outs = ["nvidia-constraints.txt"],
cmd = """sed -E "s/>=/==/" $(location nvidia-requirements.txt) > $@;""",
)
compile_pip_requirements(
name = "requirements",
srcs = [
"nvidia-requirements.txt",
"requirements.in",
":nvidia_constraints",
],
extra_args = [
"--allow-unsafe",
"--build-isolation",
"--rebuild",
"-c $(location :nvidia_constraints)",
],
generate_hashes = True,
requirements_txt = REQUIREMENTS,
)