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https://github.com/pytorch/pytorch.git
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a5e2309f5e
This is a follow-up from #89660 There is another place that needs to be updated. I think this time I covered all of them... Pull Request resolved: https://github.com/pytorch/pytorch/pull/91424 Approved by: https://github.com/malfet
45 lines
1.4 KiB
Python
45 lines
1.4 KiB
Python
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("@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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def _py_library(name, **kwds):
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deps = [dep for dep in kwds.pop("deps", []) if dep != None]
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native.py_library(name = name, deps = deps, **kwds)
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def _requirement(_pypi_project):
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return None
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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 = native.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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