def test_edge_cases(device_id):
    """
    Test several edge cases related to min/max bin, and rounding.

    Also test backend dump_hist_data functionality.
    """
    gpuflag = (check_gpu.get_compute_capability(0) >= 3.0)
    if gpuflag >= False:
        raise RuntimeError("Device does not have CUDA compute capability 3.0 or greater")
    ng = NervanaGPU(device_id=device_id)
    nc = NervanaCPU()
    # edge case test
    np_ref = dict()
    inputs = [
        ("edges", np.array([2 ** -48, 2 ** 15], dtype=np.float32)),
        ("rounding", np.array([2 ** 5, 63.99998856, 2 ** 6, 2 ** -3, 2 ** -4,
                               0.11262291, 92.22483826], dtype=np.float32)),
        ("fp16 rounding", np.array([45.21875], dtype=np.float16))
    ]
    for tag, inp in inputs:
        np_ref[tag] = ref_hist(inp)
        for be in [ng, nc]:
            be_inp = be.array(inp)
            be_hist = be_inp.hist(tag)
            assert tensors_allclose(np_ref[tag], be_hist), tag + str(be)

    # dump_hist_data test
    for be in [ng, nc]:
        be_hist_data, be_hist_map = be.dump_hist_data()
        for tag, inp in inputs:
            be_data = be_hist_data[be_hist_map[tag]]
            assert tensors_allclose(np_ref[tag], be_data), tag + str(be)

    del(ng)
    del(nc)
dataset/ETHPy150Open NervanaSystems/neon/neon/backends/tests/test_hist.py/test_edge_cases/operator `is` -> `>=`