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"""
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BinaryTree inter-engine communication class
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use from bintree_script.py
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Provides parallel [all]reduce functionality
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"""
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from __future__ import print_function
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import cPickle as pickle
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import re
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import socket
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import uuid
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import zmq
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from IPython.parallel.util import disambiguate_url
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#----------------------------------------------------------------------------
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# bintree-related construction/printing helpers
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#----------------------------------------------------------------------------
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def bintree(ids, parent=None):
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"""construct {child:parent} dict representation of a binary tree
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keys are the nodes in the tree, and values are the parent of each node.
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The root node has parent `parent`, default: None.
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>>> tree = bintree(range(7))
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>>> tree
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{0: None, 1: 0, 2: 1, 3: 1, 4: 0, 5: 4, 6: 4}
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>>> print_bintree(tree)
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0
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1
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2
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3
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4
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5
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6
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"""
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parents = {}
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n = len(ids)
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if n == 0:
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return parents
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root = ids[0]
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parents[root] = parent
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if len(ids) == 1:
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return parents
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else:
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ids = ids[1:]
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n = len(ids)
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left = bintree(ids[:n/2], parent=root)
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right = bintree(ids[n/2:], parent=root)
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parents.update(left)
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parents.update(right)
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return parents
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def reverse_bintree(parents):
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"""construct {parent:[children]} dict from {child:parent}
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keys are the nodes in the tree, and values are the lists of children
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of that node in the tree.
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reverse_tree[None] is the root node
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>>> tree = bintree(range(7))
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>>> reverse_bintree(tree)
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{None: 0, 0: [1, 4], 4: [5, 6], 1: [2, 3]}
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"""
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children = {}
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for child,parent in parents.iteritems():
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if parent is None:
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children[None] = child
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continue
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elif parent not in children:
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children[parent] = []
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children[parent].append(child)
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return children
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def depth(n, tree):
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"""get depth of an element in the tree"""
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d = 0
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parent = tree[n]
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while parent is not None:
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d += 1
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parent = tree[parent]
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return d
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def print_bintree(tree, indent=' '):
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"""print a binary tree"""
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for n in sorted(tree.keys()):
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print("%s%s" % (indent * depth(n,tree), n))
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#----------------------------------------------------------------------------
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# Communicator class for a binary-tree map
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#----------------------------------------------------------------------------
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ip_pat = re.compile(r'^\d+\.\d+\.\d+\.\d+$')
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def disambiguate_dns_url(url, location):
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"""accept either IP address or dns name, and return IP"""
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if not ip_pat.match(location):
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location = socket.gethostbyname(location)
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return disambiguate_url(url, location)
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class BinaryTreeCommunicator(object):
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id = None
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pub = None
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sub = None
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downstream = None
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upstream = None
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pub_url = None
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tree_url = None
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def __init__(self, id, interface='tcp://*', root=False):
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self.id = id
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self.root = root
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# create context and sockets
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self._ctx = zmq.Context()
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if root:
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self.pub = self._ctx.socket(zmq.PUB)
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else:
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self.sub = self._ctx.socket(zmq.SUB)
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self.sub.setsockopt(zmq.SUBSCRIBE, b'')
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self.downstream = self._ctx.socket(zmq.PULL)
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self.upstream = self._ctx.socket(zmq.PUSH)
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# bind to ports
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interface_f = interface + ":%i"
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if self.root:
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pub_port = self.pub.bind_to_random_port(interface)
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self.pub_url = interface_f % pub_port
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tree_port = self.downstream.bind_to_random_port(interface)
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self.tree_url = interface_f % tree_port
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self.downstream_poller = zmq.Poller()
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self.downstream_poller.register(self.downstream, zmq.POLLIN)
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# guess first public IP from socket
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self.location = socket.gethostbyname_ex(socket.gethostname())[-1][0]
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def __del__(self):
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self.downstream.close()
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self.upstream.close()
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if self.root:
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self.pub.close()
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else:
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self.sub.close()
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self._ctx.term()
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@property
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def info(self):
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"""return the connection info for this object's sockets."""
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return (self.tree_url, self.location)
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def connect(self, peers, btree, pub_url, root_id=0):
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"""connect to peers. `peers` will be a dict of 4-tuples, keyed by name.
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{peer : (ident, addr, pub_addr, location)}
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where peer is the name, ident is the XREP identity, addr,pub_addr are the
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"""
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# count the number of children we have
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self.nchildren = btree.values().count(self.id)
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if self.root:
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return # root only binds
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root_location = peers[root_id][-1]
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self.sub.connect(disambiguate_dns_url(pub_url, root_location))
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parent = btree[self.id]
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tree_url, location = peers[parent]
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self.upstream.connect(disambiguate_dns_url(tree_url, location))
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def serialize(self, obj):
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"""serialize objects.
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Must return list of sendable buffers.
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Can be extended for more efficient/noncopying serialization of numpy arrays, etc.
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"""
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return [pickle.dumps(obj)]
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def unserialize(self, msg):
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"""inverse of serialize"""
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return pickle.loads(msg[0])
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def publish(self, value):
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assert self.root
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self.pub.send_multipart(self.serialize(value))
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def consume(self):
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assert not self.root
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return self.unserialize(self.sub.recv_multipart())
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def send_upstream(self, value, flags=0):
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assert not self.root
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self.upstream.send_multipart(self.serialize(value), flags=flags|zmq.NOBLOCK)
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def recv_downstream(self, flags=0, timeout=2000.):
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# wait for a message, so we won't block if there was a bug
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self.downstream_poller.poll(timeout)
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msg = self.downstream.recv_multipart(zmq.NOBLOCK|flags)
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return self.unserialize(msg)
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def reduce(self, f, value, flat=True, all=False):
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"""parallel reduce on binary tree
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if flat:
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value is an entry in the sequence
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else:
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value is a list of entries in the sequence
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if all:
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broadcast final result to all nodes
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else:
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only root gets final result
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"""
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if not flat:
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value = reduce(f, value)
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for i in range(self.nchildren):
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value = f(value, self.recv_downstream())
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if not self.root:
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self.send_upstream(value)
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if all:
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if self.root:
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self.publish(value)
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else:
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value = self.consume()
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return value
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def allreduce(self, f, value, flat=True):
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"""parallel reduce followed by broadcast of the result"""
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return self.reduce(f, value, flat=flat, all=True)
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