cluster_v2.py 3.5 KB
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# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import copy
import numpy as np
from enum import IntEnum
from enum import unique

import paddle
from paddle.fluid import core
from paddle.fluid.core import Device
from paddle.fluid.core import Link


@unique
class DeviceType(IntEnum):
    UNKNOWN = 0
    CPU = 1
    GPU = 2
    XPU = 3
    NPU = 4
    DCU = 5
    NIC = 6


@unique
class LinkType(IntEnum):
    UNKNOWN = 0
    LOC = 1
    SYS = 2
    PHB = 3
    PIX = 4
    PIB = 5
    NVL = 6
    NVB = 7
    NET = 8


class DeviceMesh(core.DeviceMesh):
    r"""
    The class `DeviceMesh` describes the topology of physical devices. 

    Args:
        mesh (list|numpy.array): an N-dimensional array describes the toplogy
            of logical processes.
        dim_names (list, optional): the i-th element of this list gives the name of the
            i-th dimension.
    
    Returns:
        None

    Examples:
        .. code-block:: python

            import paddle
            import paddle.distributed as dist
            
            paddle.enable_static()
            
            mesh = dist.DeviceMesh([[2, 4, 5], [0, 1, 3]])
            assert mesh.shape == [2, 3]
            assert mesh.device_ids == [2, 4, 5, 0, 1, 3]

    """

    def __init__(self, name, mesh, dim_names=None):
        self._name = name

        if not isinstance(mesh, list) and \
           not isinstance(mesh, np.ndarray):
            raise ValueError(
                'The mesh must be an instance of list or np.ndarray.')
        if isinstance(mesh, list):
            mesh = np.array(mesh)

        self._mesh = mesh

        self._shape = list(self._mesh.shape)

        self._device_ids = self._mesh.flatten().tolist()
        assert all(isinstance(p, int) for p in self._device_ids), \
            ("All elements of the mesh be integer")
        assert min(
            self._device_ids) >= 0, ('All elements of the mesh must be >= 0.')
        unique_device_ids = set(self._device_ids)
        assert len(unique_device_ids) == len(
            self._device_ids), ('All elements of the mesh must be unique.')

        if dim_names is not None:
            assert len(dim_names) == len(self._shape), \
                ("The length of dims_names must be same as the shape of the mesh.")
            self._dim_names = dim_names
        else:
            self._dim_names = ["d" + str(i) for i in range(len(self._shape))]

        # Follow the requirement for using pybind11
        core.DeviceMesh.__init__(self, self._name, self._shape,
                                 self._device_ids, self._dim_names)

    @property
    def mesh(self):
        return self._mesh


# class Cluster(object):
#     """
#     The cluster represents the hardware resource.
#     """

#     def __init__(self):
#         self._device_meshes = {}

#     def device_mesh(self, device_mesh_name):
#         return self._device_meshes[device_mesh_name]

#     def add_device_mesh(self, device_mesh):
#         self._device_meshes[device_mesh.name] = device_mesh