mirror of
https://github.com/saymrwulf/pytorch.git
synced 2026-05-15 21:00:47 +00:00
fa147abda4
Summary: Closing the gap a bit on API, allowing users to go NetDef -> nomnigraph -> NetDef in python now Reviewed By: duc0 Differential Revision: D9670495 fbshipit-source-id: 6497518ffc05a186deb0d657e06317980d39ddd5
74 lines
2.1 KiB
Python
74 lines
2.1 KiB
Python
from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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from __future__ import unicode_literals
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import caffe2.python._import_c_extension as C
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from caffe2.python import core
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from caffe2.proto import caffe2_pb2
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import os
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from subprocess import Popen, PIPE
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import errno
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class NNModule(object):
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def __init__(self, net=None):
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if net is not None:
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if isinstance(net, core.Net):
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self._NNModule = C.NNModuleFromProtobuf(net.Proto().SerializeToString())
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elif isinstance(net, caffe2_pb2.NetDef):
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self._NNModule = C.NNModuleFromProtobuf(net.SerializeToString())
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else:
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raise Exception(
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"NNModule can be constructed with core.Net or caffe2_pb2.NetDef types"
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)
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else:
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self._NNModule = C.NNModule()
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@property
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def dataFlow(self):
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return self._NNModule.dataFlow()
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def convertToCaffe2Proto(self, old_proto=None):
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if not old_proto:
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old_proto = caffe2_pb2.NetDef()
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output = self._NNModule.convertToCaffe2Proto(old_proto)
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new_proto = caffe2_pb2.NetDef()
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new_proto.ParseFromString(output)
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return new_proto
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def match(self, pattern):
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for n in self.dataFlow.getMutableNodes():
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m = C.matchSubgraph(n, pattern)
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if m:
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yield m
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def render(s):
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s = str(s)
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cmd_exists = lambda x: any(
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os.access(os.path.join(path, x), os.X_OK)
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for path in os.environ["PATH"].split(os.pathsep)
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)
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if cmd_exists("graph-easy"):
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p = Popen("graph-easy", stdin=PIPE)
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try:
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p.stdin.write(s.encode("utf-8"))
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except IOError as e:
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if e.errno == errno.EPIPE or e.errno == errno.EINVAL:
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pass
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else:
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# Raise any other error.
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raise
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p.stdin.close()
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p.wait()
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else:
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print(s)
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NeuralNetOperator = C.NeuralNetOperator
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NeuralNetData = C.NeuralNetData
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NNSubgraph = C.NNSubgraph
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NNMatchGraph = C.NNMatchGraph
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Graph = C.Graph
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