def compile_gpu_func(nan_is_error, inf_is_error, big_is_error):
    """ compile utility function used by contains_nan and contains_inf
    """
    global f_gpumin, f_gpumax, f_gpuabsmax
    if not cuda.cuda_available:
        return
    guard_input = cuda.fvector('nan_guard')
    cuda_compile_failed = False
    if (nan_is_error or inf_is_error) and f_gpumin is None:
        try:
            f_gpumin = theano.function(
                [guard_input], T.min(guard_input),
                mode='FAST_RUN'
            )
        except RuntimeError:
            # This can happen if cuda is available, but the
            # device is in exclusive mode and used by another
            # process.
            cuda_compile_failed = True
    if inf_is_error and not cuda_compile_failed and f_gpumax is None:
        try:
            f_gpumax = theano.function(
                [guard_input], T.max(guard_input),
                mode='FAST_RUN'
            )
        except RuntimeError:
            # This can happen if cuda is available, but the
            # device is in exclusive mode and used by another
            # process.
            cuda_compile_failed = True
    if big_is_error and not cuda_compile_failed and f_gpuabsmax is None:
        try:
            f_gpuabsmax = theano.function(
                [guard_input], T.max(T.abs_(guard_input)),
                mode='FAST_RUN'
                )
        except __HOLE__:
            # This can happen if cuda is available, but the
            # device is in exclusive mode and used by another
            # process.
            cuda_compile_failed = True
dataset/ETHPy150Open rizar/attention-lvcsr/libs/Theano/theano/compile/nanguardmode.py/compile_gpu_func