pytorch

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"""
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 Macros for selecting with / without various GPU libraries.  Most of these are meant to be used
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 directly by tensorflow in place of their build's own configure.py + bazel-gen system.
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"""
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load("@bazel_skylib//lib:selects.bzl", "selects")
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def if_cuda(if_true, if_false = []):
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    """Helper for selecting based on the whether CUDA is configured. """
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    return selects.with_or({
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        "@//tools/config:cuda_enabled_and_capable": if_true,
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        "//conditions:default": if_false,
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    })
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def if_tensorrt(if_true, if_false = []):
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    """Helper for selecting based on the whether TensorRT is configured. """
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    return select({
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        "//conditions:default": if_false,
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    })
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def if_rocm(if_true, if_false = []):
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    """Helper for selecting based on the whether ROCM is configured. """
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    return select({
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        "//conditions:default": if_false,
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    })
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def if_sycl(if_true, if_false = []):
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    """Helper for selecting based on the whether SYCL/ComputeCPP is configured."""
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    # NOTE: Tensorflow expects some stange behavior (see their if_sycl) if we
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    # actually plan on supporting this at some point.
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    return select({
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        "//conditions:default": if_false,
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    })
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def if_ccpp(if_true, if_false = []):
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    """Helper for selecting based on the whether ComputeCPP is configured. """
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    return select({
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        "//conditions:default": if_false,
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    })
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def cuda_default_copts():
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    return if_cuda(["-DGOOGLE_CUDA=1"])
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def cuda_default_features():
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    return if_cuda(["-per_object_debug_info", "-use_header_modules", "cuda_clang"])
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def rocm_default_copts():
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    return if_rocm(["-x", "rocm"])
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def rocm_copts(opts = []):
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    return rocm_default_copts() + if_rocm(opts)
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def cuda_is_configured():
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    # FIXME(dcollins): currently only used by tensorflow's xla stuff, which we aren't building.  However bazel
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    # query hits it so this needs to be defined.  Because bazel doesn't actually resolve config at macro expansion
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    # time, `select` can't be used here (since xla expects lists of strings and not lists of select objects).
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    # Instead, the xla build rules must be rewritten to use `if_cuda_is_configured`
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    return False
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def if_cuda_is_configured(x):
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    return if_cuda(x, [])
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def if_rocm_is_configured(x):
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    return if_rocm(x, [])
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