pytorch

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load("@rules_cc//cc:defs.bzl", "cc_binary", "cc_library", "cc_test")
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load("@rules_cuda//cuda:defs.bzl", "cuda_library", "requires_cuda_enabled")
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load("@rules_python//python:defs.bzl", "py_binary", "py_library")
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load("@pip_deps//:requirements.bzl", "requirement")
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load("@pytorch//c10/macros:cmake_configure_file.bzl", "cmake_configure_file")
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load("@pytorch//tools/config:defs.bzl", "if_cuda")
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def _genrule(**kwds):
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    if _enabled(**kwds):
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        native.genrule(**kwds)
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def _is_cpu_static_dispatch_build():
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    return False
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# Rules implementation for the Bazel build system. Since the common
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# build structure aims to replicate Bazel as much as possible, most of
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# the rules simply forward to the Bazel definitions.
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rules = struct(
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    cc_binary = cc_binary,
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    cc_library = cc_library,
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    cc_test = cc_test,
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    cmake_configure_file = cmake_configure_file,
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    cuda_library = cuda_library,
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    filegroup = native.filegroup,
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    genrule = _genrule,
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    glob = native.glob,
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    if_cuda = if_cuda,
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    is_cpu_static_dispatch_build = _is_cpu_static_dispatch_build,
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    py_binary = py_binary,
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    py_library = py_library,
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    requirement = requirement,
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    requires_cuda_enabled = requires_cuda_enabled,
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    select = select,
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    test_suite = native.test_suite,
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)
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def _enabled(tags = [], **_kwds):
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    """Determines if the target is enabled."""
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    return "-bazel" not in tags
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