Add Jittor backend about tensorcircuit HOT 7 OPEN

====================================================== FAILURES =======================================================
______________________________________________ test_device_cpu_gpu[jaxb] ______________________________________________
backend = None

    @pytest.mark.skipif(
        len(tf.config.list_physical_devices()) == 1, reason="no GPU detected"
    )
    @pytest.mark.parametrize("backend", [lf("tfb"), lf("jaxb"), lf("torchb")])
    def test_device_cpu_gpu(backend):
        a = tc.backend.ones([])
>       a1 = tc.backend.device_move(a, "gpu:0")

tests/test_backends.py:330: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
tensorcircuit/backends/jax_backend.py:639: in device_move
    dev = self._str2dev(dev)
tensorcircuit/backends/jax_backend.py:654: in _str2dev
    return libjax.devices("gpu")[_id]
/home/xiazhuo/.miniconda3/envs/jittorquantum/lib/python3.10/site-packages/jax/_src/xla_bridge.py:1077: in devices
    return get_backend(backend).devices()
/home/xiazhuo/.miniconda3/envs/jittorquantum/lib/python3.10/site-packages/jax/_src/xla_bridge.py:1011: in get_backend
    return _get_backend_uncached(platform)
/home/xiazhuo/.miniconda3/envs/jittorquantum/lib/python3.10/site-packages/jax/_src/xla_bridge.py:992: in _get_backend_uncached
    platform = canonicalize_platform(platform)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
platform = 'gpu'

    def canonicalize_platform(platform: str) -> str:
      """Replaces platform aliases with their concrete equivalent.
    
      In particular, replaces "gpu" with either "cuda" or "rocm", depending on which
      hardware is actually present. We want to distinguish "cuda" and "rocm" for
      purposes such as MLIR lowering rules, but in many cases we don't want to
      force users to care.
      """
      platforms = _alias_to_platforms.get(platform, None)
      if platforms is None:
        return platform
    
      b = backends()
      for p in platforms:
        if p in b.keys():
          return p
>     raise RuntimeError(f"Unknown backend: '{platform}' requested, but no "
                         f"platforms that are instances of {platform} are present. "
                         "Platforms present are: " + ",".join(b.keys()))
E     RuntimeError: Unknown backend: 'gpu' requested, but no platforms that are instances of gpu are present. Platforms present are: cpu

/home/xiazhuo/.miniconda3/envs/jittorquantum/lib/python3.10/site-packages/jax/_src/xla_bridge.py:793: RuntimeError
___________________________________________ test_dlpack_transformation[tfb] ___________________________________________
backend = None

    @pytest.mark.parametrize("backend", [lf("tfb"), lf("jaxb"), lf("torchb")])
    def test_dlpack_transformation(backend):
        blist = ["tensorflow", "jax"]
        if is_torch is True:
            blist.append("pytorch")
        for b in blist:
>           ans = tc.interfaces.general_args_to_backend(
                args=tc.backend.ones([2], dtype="float32"),
                target_backend=b,
                enable_dlpack=True,
            )

tests/test_interfaces.py:363: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
tensorcircuit/interfaces/tensortrans.py:136: in general_args_to_backend
    return backend.tree_map(target_backend.from_dlpack, caps)
tensorcircuit/backends/abstract_backend.py:841: in tree_map
    return tf.nest.map_structure(f, *pytrees)
/home/xiazhuo/.miniconda3/envs/jittorquantum/lib/python3.10/site-packages/tensorflow/python/util/nest.py:631: in map_structure
    return nest_util.map_structure(
/home/xiazhuo/.miniconda3/envs/jittorquantum/lib/python3.10/site-packages/tensorflow/python/util/nest_util.py:1066: in map_structure
    return _tf_core_map_structure(func, *structure, **kwargs)
/home/xiazhuo/.miniconda3/envs/jittorquantum/lib/python3.10/site-packages/tensorflow/python/util/nest_util.py:1106: in _tf_core_map_structure
    [func(*x) for x in entries],
/home/xiazhuo/.miniconda3/envs/jittorquantum/lib/python3.10/site-packages/tensorflow/python/util/nest_util.py:1106: in <listcomp>
    [func(*x) for x in entries],
tensorcircuit/backends/jax_backend.py:434: in from_dlpack
    return jax.dlpack.from_dlpack(a)
/home/xiazhuo/.miniconda3/envs/jittorquantum/lib/python3.10/site-packages/jax/_src/dlpack.py:278: in from_dlpack
    return _legacy_from_dlpack(external_array, device, copy)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
dlpack = <capsule object "dltensor" at 0x7f271efb9c80>, device = None, copy = None

    def _legacy_from_dlpack(dlpack, device: xla_client.Device | None = None,
                            copy: bool | None = None):
      preferred_platform = getattr(device, "platform", None)
      if device and preferred_platform == "gpu":
        preferred_platform = "cuda" if "cuda" in device.client.platform_version else "rocm"
    
      cpu_backend = xla_bridge.get_backend("cpu")
      gpu_backend = None
    
      if preferred_platform in {"cuda", "rocm"}:
        try:
          gpu_backend = xla_bridge.get_backend(preferred_platform)
        except RuntimeError:
          raise TypeError(
            f"A {str.upper(preferred_platform)} device was specified, however no "
            f"{str.upper(preferred_platform)} backend was found."
          )
    
      if preferred_platform is None:
        try:
          gpu_backend = xla_bridge.get_backend("cuda")
        except RuntimeError:
          pass
        # Try ROCm if CUDA backend not found
        if gpu_backend is None:
          try:
            gpu_backend = xla_bridge.get_backend("rocm")
          except RuntimeError:
            pass
    
>     _arr = jnp.asarray(xla_client._xla.dlpack_managed_tensor_to_buffer(
          dlpack, cpu_backend, gpu_backend)) # type: ignore
E     jaxlib.xla_extension.XlaRuntimeError: INVALID_ARGUMENT: DLPack tensor is on GPU, but no GPU backend was provided.
/home/xiazhuo/.miniconda3/envs/jittorquantum/lib/python3.10/site-packages/jax/_src/dlpack.py:195: XlaRuntimeError

---------- coverage: platform linux, python 3.10.14-final-0 ----------
Coverage XML written to file coverage.xml

================================================ short test summary info ================================================
FAILED tests/test_backends.py::test_device_cpu_gpu[jaxb] - RuntimeError: Unknown backend: 'gpu' requested, but no plat...
FAILED tests/test_interfaces.py::test_dlpack_transformation[tfb] - jaxlib.xla_extension.XlaRuntimeError: INVALID_ARGUM...
=========================== 2 failed, 560 passed, 17 skipped, 2 xfailed in 1168.15s (0:19:28) ===========================