],
    ),
)

bzl_library(
    name = "tensorflow_bzl",
    srcs = ["tensorflow.bzl"],
    visibility = ["//visibility:public"],
    deps = [
        "//tensorflow/core/platform:build_config_root_bzl",
        "//tensorflow/core/platform:rules_cc_bzl",
        "//third_party/compute_library:build_defs_bzl",
        "//third_party/llvm_openmp:openmp_bzl",

  # Convert python path to Windows style before writing into bazel.rc
  if is_windows() or is_cygwin():
    python_lib_path = cygpath(python_lib_path)

  # Set-up env variables used by python_configure.bzl
  write_action_env_to_bazelrc('PYTHON_BIN_PATH', python_bin_path)
  write_action_env_to_bazelrc('PYTHON_LIB_PATH', python_lib_path)
  write_to_bazelrc('build --python_path=\"{}"'.format(python_bin_path))

build:cuda_clang_official --crosstool_top="@sigbuild-r2.17-clang_config_cuda//crosstool:toolchain"

# Build with nvcc for CUDA and clang for host
build:nvcc_clang --config=cuda
# Unfortunately, cuda_configure.bzl demands this for using nvcc + clang
build:nvcc_clang --action_env=TF_CUDA_CLANG="1"
build:nvcc_clang --action_env=TF_NVCC_CLANG="1"
build:nvcc_clang --@local_config_cuda//:cuda_compiler=nvcc


# Debug config