提交 74404fad 编写于 作者: A Abhinav Arora 提交者: kavyasrinet

Python implementation for a proposed Go Op. (#8434)

* Adding Python boilerplate code for Go op

* Add very basic test case

* Adding the python logic for go routine

* Fix syntax

* Changing test to notest

* Rename Routine to Go

* Combining GoGuard and Go in one class

* Modify test

* Adding fluid close channel

* Fixing __init__.py for calling fluid.go()

* Adding stubs for channel methods and updating test case

* Removing import *

* Adding imports from concurrency
上级 89ead8d1
...@@ -34,13 +34,15 @@ from data_feeder import DataFeeder ...@@ -34,13 +34,15 @@ from data_feeder import DataFeeder
from core import LoDTensor, CPUPlace, CUDAPlace from core import LoDTensor, CPUPlace, CUDAPlace
from distribute_transpiler import DistributeTranspiler from distribute_transpiler import DistributeTranspiler
from distribute_transpiler_simple import SimpleDistributeTranspiler from distribute_transpiler_simple import SimpleDistributeTranspiler
from concurrency import (Go, make_channel, channel_send, channel_recv,
channel_close)
import clip import clip
from memory_optimization_transpiler import memory_optimize from memory_optimization_transpiler import memory_optimize
import profiler import profiler
Tensor = LoDTensor Tensor = LoDTensor
__all__ = framework.__all__ + executor.__all__ + [ __all__ = framework.__all__ + executor.__all__ + concurrency.__all__ + [
'io', 'io',
'initializer', 'initializer',
'layers', 'layers',
......
# Copyright (c) 2018 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.
# TODO: Variables: make_channel
# TODO: Operators: send, close_channel, recv, go, select
from layers.control_flow import BlockGuard
from layer_helper import LayerHelper
__all__ = [
'Go',
'make_channel',
'channel_send',
'channel_recv',
'channel_close',
]
class Go(BlockGuard):
def __init__(self, name=None):
self.helper = LayerHelper("go", name=name)
super(Go, self).__init__(self.helper.main_program)
def __enter__(self):
super(Go, self).__enter__()
def __exit__(self, exc_type, exc_val, exc_tb):
if exc_type is not None:
return False
self.construct_go_op()
return super(Go, self).__exit__(exc_type, exc_val, exc_tb)
def construct_go_op(self):
main_program = self.helper.main_program
go_block = main_program.current_block()
parent_block = main_program.block(main_program.current_block()
.parent_idx)
x_name_list = set()
out_vars = set()
for op in go_block.ops:
# Iterate over all operators, get all the inputs
# and add as input to the Go operator.
for iname in op.input_names:
for in_var_name in op.input(iname):
x_name_list.add(in_var_name)
# Iterate over all operators , get all the outputs
# add to the output list of Go operator only if
# they exist in the parent block.
for oname in op.output_names:
for out_var_name in op.output(oname):
if out_var_name in parent_block.vars:
out_vars.add(parent_block.var(out_var_name))
parent_block.append_op(
type='go',
inputs={'X': [parent_block.var(x_name) for x_name in x_name_list]},
outputs={'Out': out_vars},
attrs={'sub_block': go_block})
def make_channel(dtype, size=0):
return True
def channel_send(channel, value):
return True
def channel_recv(channel):
return True
def channel_close(channel):
return True
# Copyright (c) 2018 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 unittest
import paddle.v2.fluid as fluid
import paddle.v2.fluid.core as core
from paddle.v2.fluid.executor import Executor
class TestRoutineOp(unittest.TestCase):
def test_simple_routine(self):
ch = fluid.make_channel(dtype=bool)
with fluid.Go():
fluid.channel_send(ch, True)
result = fluid.channel_recv(ch)
fluid.channel_close(ch)
cpu = core.CPUPlace()
exe = Executor(cpu)
outs = exe.run(fetch_list=[result])
self.assertEqual(outs[0], True)
if __name__ == '__main__':
unittest.main()
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